Next Article in Journal
Hydrothermal Carbonization of Waste Biomass: Process Design, Modeling, Energy Efficiency and Cost Analysis
Previous Article in Journal
Recycling Possibility of the Salty Food Waste by Pyrolysis and Water Scrubbing
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of Doubly Fed Induction GeneratorTidal Current Turbines on Stability of a Distribution Grid under Unbalanced Voltage Conditions

1
Ocean College, Zhejiang University, Hangzhou 310058, China
2
Engineering Department, Lancaster University, Lancaster LA1 4YR, UK
3
State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China
*
Author to whom correspondence should be addressed.
Energies 2017, 10(2), 212; https://doi.org/10.3390/en10020212
Submission received: 10 September 2016 / Revised: 30 January 2017 / Accepted: 1 February 2017 / Published: 13 February 2017

Abstract

:
This paper analyses the effects of doubly fed induction generator (DFIG) tidal current turbines on a distribution grid under unbalanced voltage conditions of the grid. A dynamic model of an electrical power system under the unbalanced network is described in the paper, aiming to compare the system performance when connected with and without DFIG at the same location in a distribution grid. Extensive simulations of investigating the effect of DFIG tidal current turbine on stability of the distribution grid are performed, taking into account factors such as the power rating, the connection distance of the turbine and the grid voltage dip. The dynamic responses of the distribution system are examined, especially its ability to ride through fault events under unbalanced grid voltage conditions. The research has shown that DFIG tidal current turbines can provide a good damping performance and that modern DFIG tidal current power plants, equipped with power electronics and low-voltage ride-through capability, can stay connected to weak electrical grids even under the unbalanced voltage conditions, whilst not reducing system stability.

1. Introduction

Just like the offshore wind farms, large tidal current turbines are often located in remote offshore areas where weak grids and unbalanced grid voltage conditions are a common problem [1,2]. Many tidal current turbines are connected in a distribution grid where asymmetrical loads, asymmetrical transformer windings or transmission impedance and transient faults (voltage dip) will be the typical sources of the problem, resulting in unbalanced operations [3,4]. The doubly fed induction generator (DFIG), as the most popular form of tidal current energy generation [5], is very sensitive to unbalanced operation of a grid due to its direct coupling to the grid [6,7].
In recent years, lots of research efforts have been devoted to improving the performance of the steady-state and transient response of DFIG tidal turbines under symmetrical supply voltage [8,9,10]. In reality, however, asymmetrical faults happen much more frequently than symmetrical faults [11]. Furthermore, it is recognised that both transmission and distribution networks could experience voltage imbalance, which can also occur in a weak power grid even during normal operations [12,13,14,15]. A weak power grid is one where changes in real and reactive power flowing into or out of the network will cause significant changes in the voltage on the network, which is also referred to as having a low short-circuit level or a low fault level [16,17]. Networks in offshore areas are generally weaker than in mainland or industrial areas. If this is not taken into account by DFIG control systems, the tidal current turbines might have to be disconnected from the network under unbalanced voltage conditions due to the excessive stator current imbalances, and power and torque oscillations [18,19].
In order to tackle the problems, recent studies have focused on the impact that the unbalanced voltage has on DFIG turbines [20,21]. All of them show that even a slight imbalance could have a clear influence on rotor losses and torque pulsations [3,22]. The effects of voltage imbalance on power converters, due to the ripples in the output currents and the DC-link voltage, are also taken into account and a series of strategies have been proposed to minimize these effects [23,24].
Nevertheless, the detailed effects of DFIG on stability of a distribution grid under different load factors of the tidal current turbine plant and unbalanced grid voltage conditions are still not fully known [25,26,27]. In this paper, we study the effect of addition of DFIG tidal current turbines on the performance of a distribution grid system during abnormal operating conditions. An equivalent electrical grid and its mathematical model under unbalanced network conditions are described in Section 2 and Section 3, respectively. In Section 4, the effect of DFIG tidal current turbines on stability of the distribution grid system due to factors such as the power rating, the connection distance and the grid voltage dip is discussed. Finally, conclusions arising from this research are summarized in Section 5.

2. A Distribution Grid

Distribution grid test feeders with a 2 MW, 1 kV DFIG tidal current turbine added is shown in Figure 1. The grid system is modelled by a three-phase voltage source of 300 MVA and a three-phase transformer (the voltage level of primary and secondary windings is 34.5 kV and 12.47 kV, respectively). In this study, fixed load characteristics are considered, which are represented by rated real (P) and reactive (Q) powers. The load at node 1 is set to 2.133 MW and 1.6 MVAR while the loads at node 2 and node 3 are both set to 0.266 MW and 0.2 MVAR
The connection of a distributed generation (DG) unit to a radial distribution system could lead to situations that are not normally supported by the network in case of faults. This model allows the connecting of DFIG tidal current turbines at one node whilst applying a fault component at another node in the system. Then, the power flows of the loads and of the grid system are monitored using a combination of current (A) and voltage (V) meters in order to determine the necessary protection level and to compare the system performance, of which DFIG tidal current turbines are not connected.
Figure 1 also shows the location of the DFIG turbine to be added and the timed fault logic within the grid system. In order to evaluate system stability performance, we simulated a single phase fault on the three-phase line, where phase A is set to a phase-grounded fault while phases B and C are in the normal conditions. Various scenarios with regards to load factors were tested and the responses at three nodes in the system were examined.
Figure 2 shows the complete model of a DFIG tidal current turbine added to the distribution grid [7]. The DFIG uses two pulse width modulation (PWM) voltage fed current regulated inverters that are back-to-back connected in the rotor circuit. The DFIG turbine is controlled by a tidal current governor with an initial pitch angle, an aerodynamic power coefficient Cp of 0.38 and a power demand being predefined. The fluid is considered as sea flow and the density is about 1.025 × 103 kg/m3. The parameter of DFIG is shown in Table 1. The induction machine is started initially in speed control mode during the initial transients and then switched over to torque control after reaching steady-state. Pitch control is not included in the simulation since it would not be activated until a few seconds after the fault and therefore does not affect the behaviour of the system during the fault.
The block diagrams of induction machine control for the DFIG tidal current turbine is shown in Figure 3. In the rotor side converter (RSC), as shown in Figure 3a, the active power is generated with regards to tidal current speed and tidal current turbine characteristics while the reactive power reference is set on the base of the utility demand. The control scheme in the RSC converter is to ensure the rotor reference currents Ira_ref, Irb_ref and Irc_ref are generated by obtaining the correct values of the direct and quadrature currents Ird and Irq in a synchronous rotating dq axis frame through the use of PI error compensators, and then force the active and reactive powers follow the reference signals. By comparing the rotor reference currents and the measured instantaneous values Ira, Irb and Irc of the rotor currents, the PWM circuit generates the switching signals T1T6 to the converter devices. The desired rotor reference currents Ira_ref, Irb_ref and Irc_ref can be readily calculated using the inverse dq transformation (a dq/αβ transformation followed by a αβ/abc transformation in the diagram) with regards to the slip angle. The slip angle represents a relative difference between stator flux and rotor position.
In the grid side converter (GSC), as shown in Figure 3b, the selection of Idref is for keeping the capacitor voltage Ecap at its rated value by adjusting the active power. The direct and quadrature currents Isd and Isq are calculated from the measured instantaneous values of the stator side currents using the dq transformation. The reference voltage Vsd_ref is controlled by the capacitor voltage error while Vsq_ref is controlled by the error between the setting and actual value of the stator side reactive power. The reference voltages Vsa_ref, Vsb_ref and Vsc_ref of the three phase voltages can then be generated using an inverse dq transformation with regards to the AC grid voltage reference angle phi. In the PWM circuit, each of the phase reference voltages is compared with a high-frequency triangle waveform to generate the firing pulses signals T1sT6s to the GSC devices.
With the above control schemes, the active and reactive powers of the DFIG tidal current turbine can be controlled independently. The DFIG is also capable of simultaneous capturing maximum power of tidal current energy under the fluctuating tidal current speed and improving power quality.

3. Network Modelling

The study considers a power system that is connected with DFIG tidal current turbines with a transmission system for tidal current power delivery. A simplified model in the form of lumped parameters is shown in Figure 4 [28], where only one phase is drawn. The power sources at the DFIG side and the grid side are connected via transformers and a transmission line with local loads to carry power from DG units to the electrical grid. For the tidal current turbines, one of the issues relates to the transmission system linking between the offshore tidal current farm and the on-land electrical grid. For small-scale tidal current turbines, a short distance high voltage alternating current (HVAC) system is normally preferred due to its advantage of low cost, which is the focus of our studies in this paper. These lines can also represent a certain connection distance between the tidal current farm and the electrical grid system. It is worth noting that loads shown in Figure 1 can be equivalently considered as load conditions when configuring the simplified electrical power system.
The tidal current turbine and power source of the grid system are assumed as ideal three-phase sources and the transformers have an ideal turn ratio with only leakage impedance being considered. The transmission line is represented by its lumped impedance by neglecting the capacity of phase-to-phase and the capacity of phase-to-ground. Nevertheless, the simplified model can still adequately represent the right AC components and asymmetric DC components of voltages and currents under the system’s unbalanced fault conditions.
Take phase A as an example. Under normal conditions without any faults, the differential equation of phase A can be written as below, where the boundary condition i w a = i g a applies, and i w a and i g a are the phase A currents supplied from DFIG and grid sides of the line, respectively,
E w a E g a = X s w + X t w + X 1 + X s g + X t g 2 π f d i w a d t + ( R s w + R t w + R 1 + R s g + R t g ) i w a
where E w a and E g a represent the phase A source voltages at both sides, respectively. The parameter f is the power line frequency of the electric power grid. The parameters X s w and R s w denote the impedance of the AC source representing the DFIG, while X s g and R s g denote the impedance of the AC source representing the grid system. The parameters X t w and R t w are the leakage impedance of the tidal current-turbine side transformer while X t g and R t g are the leakage impedance of the grid side transformer. X 1 and R 1 are the positive sequence impedance of the line.
When a phase-A grounded (AG) fault occurs at location k, as shown in Figure 4, then i w a i g a , the zero sequence current of DFIG side of the line i w 0 = ( i w a + i w b + i w c ) 0 , and the zero sequence current of grid side of the line i g 0 = ( i g a + i g b + i g c ) 0 , where i w a , i w b , i w c and i g a ,   i g b ,   i g c are three-phase currents supplied from both ends. Hence, the electrical topology of the system will change accordingly. The differential equations of phase A can now be described by Equations (2)–(6), where V f is the voltage at the fault location and R f represents ground transient resistance; V 0 w and V 0 g are the zero sequence voltage at the neutral connector of the transformers of both sides, respectively; X 0 and R 0 are the zero sequence impedance of the line, and fault location k is represented by its percentage (0–1) of the line:
E w a + V 0 w V f = X s w + X t w + k X 1 2 π f d i w a d t + ( R s w + R t w + k R 1 ) i w a
E g a + V 0 g V f = X s g + X t g + ( 1 k ) X 1 2 π f d i g a d t + ( R s g + R t g + ( 1 k ) R 1 ) i g a
V 0 w = k ( X 0 X 1 ) d i w 0 d t + k ( R 0 R 1 ) i w 0
V 0 g = ( 1 k ) ( X 0 X 1 ) d i g 0 d t + ( 1 k ) ( R 0 R 1 ) i g 0
V f = R f ( i w a + i g a )
The currents of the faulty phase will be greater than the rated current of the system, which can be rearranged as below:
d i w a d t = 2 π f X s w + X t w + k X 1 [ E w a + V 0 w V f ( R s w + R t w + k R 1 ) i w a ]
d i g a d t = 2 π f X s g + X t g + ( 1 k ) X 1 [ E g a + V 0 g V f ( R s g + R t g + ( 1 k ) R 1 ) i g a ]
The differential equations related to phases B and C can be obtained similarly; therefore, the unknown phase currents of both sides can be resolved. Having obtained the phase currents, bus voltages at both sides can be computed based on the Equations (9) and (10) by taking phase A as the example. By arbitrarily setting the initial load condition and fault situation, the system under normal and unbalanced fault conditions can be examined:
V w a = E w a X s w + X t w 2 π f d i w a d t + ( R s w + R t w ) i w a
V g a = E g a X s g + X t g 2 π f d i g a d t + ( R s g + R t g ) i g a
The above differential and algebraic equations can be solved using a suitable iterative numerical algorithm such as a higher order Runge–Kutta or trapezoidal integration method to minimize the round-off errors in calculation. Although the DG system model shown in Figure 4 is a simplified one and the Equations (2)–(6) only consider the positive sequence components, undoubtedly, the model and solutions still can provide insight into the dynamics of the system behaviour under fault conditions in a very straightforward way [29]. It is worth noting that typical distribution network configurations and models are much more complex compared to the one shown in Figure 4. For the unsymmetrical fault conditions, a negative sequence network that omits all positive-sequence generators needs to be considered under such conditions. For example, for a single-phase-to-ground fault, the negative sequence network is connected in series with the positive sequence network while, for a phase-to-phase fault or a phase-to-phase-ground fault, the negative sequence network is connected in parallel with the positive sequence network. Additionally, the lines have been modelled as lumped longitudinal impedances whilst, in reality, unbalanced impedances that also consider transverse parameters need to be taken into account. Equations (2)–(6) also neglect the mutual coupling between the phases and the presence of transverse parameters. Therefore, simulation tools such as EMTP, PSS/E and PSCAD/EMTDC can be used for the dynamics analysis of the power system [30,31]. In our study, we use the power system commercial software platform PSCAD/EMTDC because it is capable of modelling the dynamics of a complex electrical system in details under normal and fault conditions.

4. Investigation of Effects of Doubly Fed Induction Generator (DFIG) Tidal Current Turbines

4.1. Addition of a DFIG Tidal Current Turbine

Simulations of the original network without DFIG tidal current turbines connected are firstly performed in order to establish a baseline system performance. The simulations are then turned into connecting the DFIG at one node and applying a fault component at another node in the system. The currents and voltages are monitored in order to determine the necessary protection level, and the power flows in terms of both active and reactive powers are also monitored to compare the system performance with and without DFIG connected. In the simulations, the system is allowed to reach a steady state after initial start-up, and a single phase-grounded fault is applied to phase A at 15 s with fault duration of 0.5 s. Simulation time was set to 20 s, which is sufficient for each case to re-reach steady state.
Figure 5 shows a simulation with the grid system alone, followed by the addition of a DFIG tidal current turbine to node 1 and application of an AG fault at node 3 in the system. As can be seen from the results, the peak value of phase-A current during the fault at node 1 is lower with DFIG than without DFIG. Thus, the overall fault detection level of the system must be set to below the smaller value but above the normal operational magnitude of the power system when operating alone, or the grid engineer must know when the DFIG is in on-line or off-line operation so that the protection level is modified accordingly [32].
There is no instability problem for active and reactive powers during the observation period, as shown in Figure 6. Therefore, when connected to node 1, the DFIG tidal current turbine will supply more active power, thus increasing the power output level of the system. The active power also has less power fluctuations during the fault. Figure 6 also shows that the reactive power is relatively lower in a steady state; however, there are significantly increased oscillations in reactive power during the fault in the case when the DFIG is connected. This is because the DFIG tidal current turbine added in the system can greatly improve the low voltage ride through (LVRT) capacity by providing less active power fluctuations and good reactive power compensation during the grid fault period.
Next, we apply the AG fault at node 3 and then perform the same simulations with and without the DFIG connected to node 3 as we previously did at node 1. Figure 7 and Figure 8 show that, with the DFIG connected to node 3, the phase-A current and the active power are larger in steady state and the phase current also has a larger current drop during the fault. This may result in a serious problem if the larger current or active power at node 3, due to the addition of DFIG, exceeds the maximum interrupting rating of the circuit breaker. Therefore, the circuit breaker must be changed to meet the requirements. It can also be seen from Figure 8 that, during the fault, the reactive power with DFIG connected is increasing, which would be helpful for the recovery of the system during the fault.
Therefore, the addition of a DFIG tidal current turbine to the distribution grid system cannot be done directly and simply. As we know that the distribution system is normally a radial system, the different location at which a DG unit like DFIG turbine is connected and where a fault is applied can lead to totally different results. Consequentially, the protection settings and circuit breakers of the system may need to vary to accommodate the system configuration requirements.

4.2. Effect of the Rated Power

In this subsection, we discuss the system stability of the grid system under unbalanced voltage conditions when a tidal current power plant operating at a different level of the rated power is attached. The tidal current power plant is added to node 1, while the fault is applied at node 3. In this study, the DFIG is started in speed control mode with the rotational speed of the generator being set to the rated speed up to 1.1 per unit (pu) speed and is then switched over to torque control after 0.5 s of the initial transients of the machine, eventually reaching steady-state.
For this simulation, the tidal current power plant is set to generate 3.5 MW and controls its own terminal voltage. Several levels of power generation have been investigated in order to determine how low the power can be set to whilst still maintaining the system stability in the operation under different unbalanced voltage conditions. Normal operation starts from t = 0 s to t = 12 s. Then, an unbalanced grid fault (AG fault) with a duration of 500 ms is applied. Tidal current speed is assumed to be constant during the simulation. Initially, the tidal current power plant is assumed to operate at 1 MW or 30% of its rated output power.
As shown in Figure 9, when the turbine is operating at 30% of its rated output power, the active and reactive powers of the system return back to the pre-fault conditions after the fault ends. It can be seen that there is no instability problem during the observation period. Hence, the power system is stabilized when a 3.5 MW DFIG tidal current farm is connected at node 1 and operates at 1 MW output or 30% of its rated output power.
Let us consider what happens if we increase the output power to 2.45 MW or 70% of its rated output power. As shown in Figure 9, both the active and reactive powers at post-fault condition settles at a different value from the pre-fault value because of the higher system impedance when a single phase fault happens. Oscillations in the curves after the clearance of the fault are clearly evident compared to the pre-fault data. This implies that the system begins to lose its stability after the fault ends when the output power of DFIG is increased to 2.45 MW or 70% of its rated output power. Consequentially, 70% rated output power can be considered as a critical point of the system being studied in this paper. Once the rated power was set to higher than this critical point, the grid system will lose its stability.
Figure 9 also shows the case when the tidal current farm is operated at 100% rated power of 3.5 MW. The tidal current speed is set to 3.5 m/s, which is higher than the rated tidal current speed, in order to keep the DFIG on a full rated output power. The value of active power within a pre-fault period is larger than that during the post-fault period, while the value of reactive power has the opposite situation. Compared to the 70% case, it can be found that the active power operating at 100% rated power exhibits oscillations with a higher frequency. On the other hand, reactive power is very responsive, implying that more reactive power comes from the full rated power than from the 70% rated power of the tidal current plant.
With more and more DFIG tidal current turbine generators being integrated into the power system, the potential occurrence of the oscillatory phenomenon due to the induction generator effect and torsional interactions is well known as the subsynchronous-resonance (SSR) issues. The SSR problems can be mitigated with sophisticated controller techniques such as a flexible AC transmission system (FACTS) device and a thyristor-controlled series capacitor (TCSC) [33,34]. The detailed descriptions of these techniques are beyond the scope of this paper.

4.3. Effect of the Connection Distance

In this subsection, we perform simulations of the network with a certain connection distance between the grid source and the DFIG tidal current turbine. Take wind farms, for example, particularly small-scale ones. The HVAC system is normally preferred for short distance power delivery (less than 50 km) [35]. Therefore, four short distances of 5 km, 10 km, 15 km and 20 km are considered for the tidal current turbine with rated power of 3.5 MW being analysed in the paper. From the simulation results, as shown in Figure 10 and Figure 11, we can conclude that when the tidal current turbines are added in the distribution grid, the closer to the grid source, the larger the active power of the system at node 1 would be. The same result applies to the reactive power. Additionally, the closer to the grid source, the less the oscillations of both active and reactive powers are evident during the grid fault. Furthermore, the change of active power with the connection distance seems not apparent during the fault; however, the shorter the connection distance, the larger the increase in reactive power during the fault.

4.4. Effect of the Grid Voltage Dip

Simulation results of the DFIG tidal current turbine under symmetrical and different unsymmetrical voltage dip conditions are shown in Figure 12. Figure 12a shows that, under a symmetrical voltage dip situation, the severest problem is the transient overcurrent of Id and Iq, the two orthogonal components of the rotor current, followed by a large electromagnetic torque Te. In the tidal current turbine control systems, the Id component is used to regulate power factor or terminal voltage while the Iq component is used to regulate the torque. This overcurrent problem can be generally protected by a so-called crowbar protection, which can be activated to short circuit the rotor windings during the fault and will be kept off until the stator voltage is recovered [36,37].
Figure 12b shows that, when an unsymmetrical voltage dip of 70% rated value occurs, the maximum rotor currents become smaller. Compared to Figure 12b,c with two-phase unsymmetrical voltage dips of 70% rated value, it can be seen that the case with a two-phase unsymmetrical voltage dip has larger oscillations in rotor currents. Just like the situation of symmetrical voltage dip, a larger voltage dip also causes larger ripples in electromagnetic torque Te and dc voltage Ecap during the voltage sag period, no matter it is a single phase or two-phase unbalanced voltage conditions. It is worth noting that the amplitude of rotor current oscillations depends on the time instant at which the voltage dip applies. A new coordinated control strategy has been proposed to improve the oscillatory responses, where the RSC is controlled to eliminate the torque oscillations while the GSC is designed to obtain constant active power output and to minimize the oscillations in the DC link voltage [38].

5. Conclusions

In this paper, we have attempted to examine the performance of a distribution grid in terms of transient stability under different unbalanced grid voltage conditions when DFIG tidal current turbines are or are not attached. A distribution grid model under the unbalanced voltage conditions has been built. The effect of the location, the rated power, the connection distance of the DFIG added in the distribution grid system and the effect of different grid voltage dip conditions on the system performance have been investigated through the extensive simulations performed by PSCAD/EMTDC. The results have demonstrated that tidal current turbines added in the distribution grid system would provide good reactive power compensation under these conditions, which can greatly improve the LVRT capacity of the system. The results has also supported the conclusion that modern DFIG tidal current power plants, equipped with power electronics and LVRT capacity, can be interconnected to the distribution grids even under unbalanced grid voltage situations without reducing stability. In this paper, the network loads are represented as fixed-power elements whilst, during fault transients, their dynamic behaviour might play a fundamental role. Future work includes the use of dynamic load models to understand the entire system dynamics during the faults. A more complex distribution network will also be examined, where unbalanced impedances that consider transverse parameters need to be taken into account.

Acknowledgments

The work was financially supported by the National Natural Science Foundation of China (Grant Nos. 51579222 and 51120195001), Youth Funds of the State Key Laboratory of Fluid Power and Mechatronic Systems (Zhejiang University) No. KLoFP_QN_1604) and the Zhejiang Provincial Natural Science Foundation of China (Grant No. LY15E090001). The first author also acknowledges the support of the Lancaster Engineering Department in his attachment to Lancaster University of the UK.

Author Contributions

Xiandong Ma and Dahai Zhang conceived and designed the experiments; Xiandong Ma and Dahai Zhang performed the experiments; Yulin Si and Can Huang analyzed the data; Bin Huang and Wei Li contributed reagents/materials/analysis tools; Dahai Zhang wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Brekken, T.; Mohan, N. Control of a doubly fed induction wind generator under unbalanced grid voltage conditions. IEEE Trans. Energy Convers. 2007, 22, 129–135. [Google Scholar]
  2. Piwko, R.; Miller, N.; Sanchez, G.J.; Yuan, X.; Renchang, D.; Lyons, J. Integrating large wind farms into weak power grids with long transmission lines. In Proceedings of the IEEE 5th International Power Electronics and Motion Control Conference, Shanghai, China, 13–16 August 2006.
  3. Santos, M.D.; Rodriguez, A.J.L.; Arnalte, S. Direct power control applied to doubly fed induction generator under unbalanced grid voltage conditions. IEEE Trans. Power Electron. 2008, 23, 2328–2336. [Google Scholar] [CrossRef]
  4. Yin, X.X.; Lin, Y.G.; Li, W.; Gu, Y.J.; Liu, H.W.; Lei, P.F. A novel fuzzy integral sliding mode current control strategy for maximizing wind power extraction and eliminating voltage harmonics. Energy 2015, 85, 677–686. [Google Scholar] [CrossRef]
  5. Zhang, D.; Chen, Y.; Yang, J.; Tan, M.; Li, W.; Ma, X. Fault ride-through analysis and protection of a 2-MW DFIG tidal current turbine. Mar. Technol. Soc. J. 2015, 49, 49–57. [Google Scholar] [CrossRef]
  6. Liao, Y.; Li, H.; Yao, J.; Zhuang, K. Operation and control of a grid-connected DFIG-based wind turbine with series grid-side converter during network unbalance. Electr. Power Syst. Res. 2011, 81, 228–236. [Google Scholar] [CrossRef]
  7. Kyaw, M.M.; Ramachandaramurthy, V.K. Fault ride through and voltage regulation for grid connected wind turbine. Renew. Energy 2011, 36, 206–215. [Google Scholar] [CrossRef]
  8. Tapia, A.; Tapia, G.; Ostolaza, J.X.; Saenz, J.R. Modeling control of a wind turbine driven doubly fed induction generator. IEEE Trans. Energy Convers. 2003, 18, 194–204. [Google Scholar] [CrossRef]
  9. Sun, T.; Chen, Z.; Blaabjerg, F. Transient stability of DFIG wind turbines at an external short-circuit fault. Wind Energy 2005, 8, 345–360. [Google Scholar] [CrossRef]
  10. Morrent, J.; de Hann, S.W.H. Ride-through of wind turbines with doubly-fed induction generator during a voltage dip. IEEE Trans. Energy Convers. 2005, 20, 435–441. [Google Scholar] [CrossRef]
  11. Zhou, Y.; Bauer, P.; Ferreira, J.A.; Pierik, J. Operation of grid-connected DFIG under unbalanced grid voltage condition. IEEE Trans. Energy Convers. 2009, 24, 240–246. [Google Scholar] [CrossRef]
  12. Pena, R.; Cardenas, R.; Clare, J.; Wheeler, P. Control system for unbalanced operation of stand-alone doubly fed induction generators. IEEE Trans. Energy Convers. 2007, 22, 544–545. [Google Scholar]
  13. Peng, C.; Heng, N. Collaborative control of DFIG system during network unbalance using reduced-order generalized integrators. IEEE Trans. Energy Convers. 2015, 30, 453–464. [Google Scholar]
  14. Yao, J.; Li, Q.; Chen, Z.; Liu, A.L. Coordinated control of a DFIG-based wind-power generation system with SGSC under distorted grid voltage conditions. Energies 2013, 6, 2541–2561. [Google Scholar] [CrossRef]
  15. Gilmanur, R.; Mohd, H.A. Transient stability enhancement of doubly fed induction machine-based wind generator by bridge-type fault current limiter. IEEE Trans. Energy Convers. 2015, 30, 939–947. [Google Scholar]
  16. Gilmanur, R.; Mohd, H.A. Exploitation of wind-energy resources in proximity to weak electric grids. In Proceedings of the 2014 IEEE Energy Conversion Congress and Exposition (ECCE), Pittsburgh, PA, USA, 14–18 September 2014.
  17. Tande, J.O.G. Bridge-type fault current limiter for asymmetric fault ride-through capacity enhancement of doubly fed induction machine based wind generator. Appl. Energy 2000, 65, 395–401. [Google Scholar] [CrossRef]
  18. Hasan, D.M.; Gharehpetiana, G.B.; Rastegar, H.; Javad, O. Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm. Energy 2013, 54, 129–138. [Google Scholar]
  19. Nass, B.I.; Undeland, T.M.; Gjengedal, T. Methods for reduction of voltage unbalance in weak grids connected to wind plants. In Proceedings of the IEEE Workshop on Wind Power and The Impacts on Power Systems, Oslo, Norway, 17–18 June 2002.
  20. Hu, J.; He, Y. Modeling and enhanced control of DFIG under unbalanced grid voltage conditions. Electr. Power Syst. Res. 2009, 79, 273–281. [Google Scholar] [CrossRef]
  21. Antonio, C.; Miguel, C.; Jaume, M.; Juan, C.V.; Eduardo, A.G. Flexible voltage support control for three-phase distributed generation inverters under grid fault. IEEE Trans. Ind. Electron. 2013, 60, 1429–1441. [Google Scholar]
  22. Abdulkerim, K.; Cemal, K.; Asim, K.; Baykant Alagoz, B. An approach for the integration of renewable distributed generation in hybrid DC/AC microgrids. Renew. Energy 2013, 52, 251–259. [Google Scholar]
  23. Lee, K.; Jahns, T.M.; Berkopec, W.E.; Lipo, T.A. Closed-form analysis of adjustable-speed drive performance under input-voltage unbalance and sag conditions. IEEE Trans. Ind. Appl. 2006, 42, 733–741. [Google Scholar] [CrossRef]
  24. Xu, L. Dynamic modelling and control of DFIG-based wind turbines under unbalanced network conditions. IEEE Trans. Power Electron. 2007, 22, 314–323. [Google Scholar]
  25. Seman, S.; Niiranen, J.; Arkkio, A. Ride-through analysis of doubly fed induction wind-power generator under unsymmetrical network disturbance. IEEE Trans. Power Syst. 2006, 21, 1782–1789. [Google Scholar] [CrossRef]
  26. Pavlos, S.G.; Nikos, D.H. Optimal distributed generation placement in power distribution networks: Models, methods, and future research. IEEE Trans. Power Syst. 2013, 28, 3420–3428. [Google Scholar]
  27. Picciariello, A.; Reneses, J.; Frias, P.; Söder, L. Distributed generation and distribution pricing: Why do we need new tariff design methodologies. Electr. Power Syst. Res. 2015, 28, 370–376. [Google Scholar] [CrossRef]
  28. Aziah, K.; Hussain, S.; Erdal, B.; Tamer, K. A review of islanding detection techniques for renewable distributed generation systems. Renew. Sustain. Energy Rev. 2013, 28, 483–493. [Google Scholar]
  29. Ma, X.D.; Taylor, C.J.; Joyce, M.J. An interactive PC-based electrical power system simulator for engineering educaiton. In Proceedings of the 5th International CDIO Conference, Singapore Polytechnic, Singapore, 7–10 June 2009.
  30. Liang, Z.C.; Ma, X.D.; Wang, H.X.; Chen, Y.; Wang, L.K. Small-sized real-time digital simulator for the test of protective relay. Autom. Electr. Power Syst. 1999, 23, 27–30. [Google Scholar]
  31. Anaya, L.O.; Acha, E. Modelling and analysis of custom power systems by PSCAD/EMTDC. IEEE Trans. Power Deliv. 2002, 17, 266–272. [Google Scholar] [CrossRef]
  32. Vargas, R.; Arjona, M.A.; Diaz, D. A Matlab-based tool for power system dynamics analysis: A comparison with PSS/E. In Proceedings of the 2008 43rd International Universities Power Engineering Conference (UPEC), Padova, Italy, 1–4 September 2008.
  33. CEDRAT. PSCAD: Power System Simulation; Wind Turbine Applications Technical Paper; CEDRAT: Meylan, France, 2006. [Google Scholar]
  34. Varma, R.K.; Auddy, S.; Semsedini, Y. Mitigation of subsynchronous resonance in a series-compensated wind farm using FACTS controllers. IEEE Trans. Power Deliv. 2008, 23, 1645–1654. [Google Scholar] [CrossRef]
  35. Kakimoto, N.; Phongphanphanee, A. Subsynchronous resonance damping control of thyristor-controlled series capacitor. IEEE Trans. Power Deliv. 2003, 18, 1051–1059. [Google Scholar] [CrossRef] [Green Version]
  36. Seman, S.; Niiranen, J.; Kanerva, S.; Arkkio, A.; Saitz, J. Performance study of a doubly fed wind-power induction generator under network disturbances. IEEE Trans. Energy Convers. 2006, 21, 883–890. [Google Scholar] [CrossRef]
  37. Kasem, A.H.; EI-Saadany, E.F.; EI-Tamaly, H.H.; Wahab, M.A.A. An improved fault ride-through strategy for doubly fed induction generator-based wind turbines. IET Renew. Power Gener. 2008, 2, 201–214. [Google Scholar] [CrossRef]
  38. Hu, J.; Xu, H.; He, Y. Coordinated control of DFIG’s RSC and GSC under generalized unbalanced and distorted grid voltage conditions. IEEE Trans. Ind. Electron. 2013, 60, 2808–2819. [Google Scholar] [CrossRef]
Figure 1. The distribution grid.
Figure 1. The distribution grid.
Energies 10 00212 g001
Figure 2. The complete model of doubly fed induction generator (DFIG) tidal current turbine added to the distribution grid. IM: Induction machine.
Figure 2. The complete model of doubly fed induction generator (DFIG) tidal current turbine added to the distribution grid. IM: Induction machine.
Energies 10 00212 g002
Figure 3. Block diagrams of induction machine control for the DFIG tidal current turbine, (a) current reference Pulse Width Modulation (PWM) based rotor side converter and (b) synchronised PWM based grid side converter.
Figure 3. Block diagrams of induction machine control for the DFIG tidal current turbine, (a) current reference Pulse Width Modulation (PWM) based rotor side converter and (b) synchronised PWM based grid side converter.
Energies 10 00212 g003
Figure 4. The simplified distributed generation system.
Figure 4. The simplified distributed generation system.
Energies 10 00212 g004
Figure 5. Phase-A currents at node 1 with and without DFIG connected, where an AG fault is applied at node 3.
Figure 5. Phase-A currents at node 1 with and without DFIG connected, where an AG fault is applied at node 3.
Energies 10 00212 g005
Figure 6. Active and reactive powers at node 1 with and without DFIG connected, where the active power with DFIG is in the same level as the active power without DFIG.
Figure 6. Active and reactive powers at node 1 with and without DFIG connected, where the active power with DFIG is in the same level as the active power without DFIG.
Energies 10 00212 g006
Figure 7. Phase-A currents at node 3 with and without DFIG connected, where an AG fault is applied at node 3.
Figure 7. Phase-A currents at node 3 with and without DFIG connected, where an AG fault is applied at node 3.
Energies 10 00212 g007
Figure 8. Active and reactive powers at node 3 with and without DFIG connected, where an AG fault is applied at node 3.
Figure 8. Active and reactive powers at node 3 with and without DFIG connected, where an AG fault is applied at node 3.
Energies 10 00212 g008
Figure 9. (a) The active power of the system when the DFIG operates at different levels of rated power; (b) The reactive power of the system when the DFIG operates at different levels of rated power.
Figure 9. (a) The active power of the system when the DFIG operates at different levels of rated power; (b) The reactive power of the system when the DFIG operates at different levels of rated power.
Energies 10 00212 g009
Figure 10. The active power of grid system under different connection distance between the grid source and the DFIG.
Figure 10. The active power of grid system under different connection distance between the grid source and the DFIG.
Energies 10 00212 g010
Figure 11. The reactive power of grid system under different connection distance between the grid source and the DFIG.
Figure 11. The reactive power of grid system under different connection distance between the grid source and the DFIG.
Energies 10 00212 g011
Figure 12. (a) Symmetrical voltage dips of 70% rated value; (b) Single-phase unsymmetrical voltage dips of 70% rated value; and (c) Two-phase unsymmetrical voltage dips of 70% rated value.
Figure 12. (a) Symmetrical voltage dips of 70% rated value; (b) Single-phase unsymmetrical voltage dips of 70% rated value; and (c) Two-phase unsymmetrical voltage dips of 70% rated value.
Energies 10 00212 g012
Table 1. 2 MW, 1 kV doubly fed induction generator (DFIG) model parameters [5]. pu: per unit.
Table 1. 2 MW, 1 kV doubly fed induction generator (DFIG) model parameters [5]. pu: per unit.
Base Angular FrequencyStator Resistance (Rs)Wound Rotor Resistance (Rr)Magnetizing Inductance (Lm)Stator Leakage Inductance (Lsσ)Wound Rotor Leakage Inductance (Lrσ)
314.16 rad/s0.0054 pu0.00607 pu4.362 pu0.102 pu0.11 pu

Share and Cite

MDPI and ACS Style

Zhang, D.; Ma, X.; Si, Y.; Huang, C.; Huang, B.; Li, W. Effect of Doubly Fed Induction GeneratorTidal Current Turbines on Stability of a Distribution Grid under Unbalanced Voltage Conditions. Energies 2017, 10, 212. https://doi.org/10.3390/en10020212

AMA Style

Zhang D, Ma X, Si Y, Huang C, Huang B, Li W. Effect of Doubly Fed Induction GeneratorTidal Current Turbines on Stability of a Distribution Grid under Unbalanced Voltage Conditions. Energies. 2017; 10(2):212. https://doi.org/10.3390/en10020212

Chicago/Turabian Style

Zhang, Dahai, Xiandong Ma, Yulin Si, Can Huang, Bin Huang, and Wei Li. 2017. "Effect of Doubly Fed Induction GeneratorTidal Current Turbines on Stability of a Distribution Grid under Unbalanced Voltage Conditions" Energies 10, no. 2: 212. https://doi.org/10.3390/en10020212

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop