1. Introduction
Photovoltaic energy sources play an important role in reducing greenhouse gas emissions and their use has been increasing significantly over the years because of the high cost and environmental impact of conventional energy sources [
1].
Maximum power point tracking (MPPT) algorithms are used to maximize the power extracted from a photovoltaic (PV) field. In order to improve efficiency and tracking performance, numerous MPPT algorithms have been published based on many aspects such as complexity, sensors required, cost, and efficiency [
2,
3,
4,
5,
6,
7]. Several approaches have been discussed in order to eliminate and/or reduce the number of sensing elements [
8]. The ripple correlation control (RCC) algorithm [
5,
9,
10] is particularly effective in single-phase single-stage systems, since it exploits the inherent instantaneous power oscillations (second-order harmonics) as perturbations of the working point in order to determine the voltage derivative of power (
dP/
dV) and drive the operating point to the maximum power point (MPP). RCC is generally simple, fast, and does not require any external action to perturb the PV operating point as compared to other MPPT algorithms.
The basic RCC-MPPT algorithm was proposed in [
9,
11]; two high-pass filters (HPF), and two low-pass filters (LPF) are required for implementation. In order to overcome the problem of defining the time constant of the filters, modified RCC-MPPT algorithms have been introduced in [
5,
12]. Similar methods are also presented in [
5], in which the moving average (
MAvg) concept has been used instead of high/low-pass filters to identify PV current and voltage oscillations (second-order harmonic components). Furthermore, only the sign of the product of PV power and voltage ripple can be used to drive the operating point toward the MPP instead of the estimation of
dP/
dV. In [
10] a hybrid RCC-MPPT has been proposed to smooth out the instability introduced by fast irradiance transients. The implementation of maximum power point tracking (MPPT) schemes by ripple correlation control (RCC) algorithms has been discussed in the case of multiple PV harmonics [
13].
In recent years, multilevel inverters have become more attractive for single- and three-phase systems [
14,
15,
16,
17,
18]. The most common multilevel converter topologies, presented in literature, are the neutral-point-clamped (NPC), flying capacitor (FC) and cascaded H-Bridge (CHB) converters [
18,
19,
20,
21]. In both NPC and FC configurations, the number of additional components (diodes or capacitors) proportionally increases with the number of levels, leading to lower reliability and higher complexity, volume, and cost. Increasing the number of levels using the cascaded H-bridge configuration is a flexible solution; it does not require additional components but it needs an isolated dc power source for each H-bridge cell. Recently, asymmetric cascaded H-bridge multilevel inverter topology has gained interest from many researchers for PV system applications [
13,
22,
23]. It is based on a modular half-bridge (two switches) cascaded to a full H-bridge in order to double the output voltage levels (also called the level doubling network, LDN). A proper pulse-width modulation (PWM) pattern provides for a self-balancing mechanism keeping the floating capacitor voltage around the half of the dc-link H-bridge voltage. The LDN configuration is becoming popular due to its simple, modular, and reliable structure and it can be considered as a retrofit which can be added to existing H-bridge configurations in order to double the output voltage levels (
Figure 1).
The LDN topology was presented in [
22] and the concept of self-balancing capability of the capacitor was analyzed. In [
22,
23], only nearest voltage-level control (staircase modulation) was developed to support the LDN operation. At present, the multilevel PWM strategy for the considered LDN inverter has not yet been clearly reported in the literature.
An analysis of the PV current and voltage ripples in single-phase H-bridge inverters has been presented in [
24,
25]. With reference to the LDN configuration, the literature does not provide analysis of the dc voltage and current harmonics. In this paper, the modulation strategy of the proposed LDN multilevel inverter is introduced. A simplified efficiency estimation of the whole multilevel conversion system is given as well, in comparison to the basic H-bridge configuration, taking into account also the ac-link (grid) inductor losses. Modified RCC-MPPT algorithms are proposed and compared, taking into consideration the existence of multiple PV harmonics on the basis of the concept introduced in [
13]. A detailed analysis of the PV current and voltage harmonics is proposed. In particular, the amplitudes of PV current and voltage harmonics have been analytically determined in order to design the proposed RCC-MPPT scheme in the case of multiple PV harmonics.
Preliminary numerical simulations and comprehensive experimental results are presented to prove the effectiveness and the feasibility of the proposed multilevel PV generation systems including the improved RCC-MPPT scheme in both steady-state and transient working conditions.
5. Implementation and Experimental Results
In order to verify the effectiveness of the multilevel PV inverter with the proposed RCC-MPPT algorithms in both steady-state and transient conditions, a grid-connected PV generation system with H-bridge and LDN has been implemented, according to the circuit scheme of
Figure 15.
The picture of the corresponding experimental setup is shown in
Figure 16. It consists of two power boards (H-bridge and LDN) based on Mitsubishi insulated-gate bipolar transistor (IGBT) smart modules, IPM PS22A76 (1200 V, 25 A, Mitsubishi Electric Corporation, Tokyo, Japan), Yokogawa DLM 2024 oscilloscope (Yokogawa Electric Corporation, Tokyo, Japan) with the PICO TA057 differential voltage probe (25 MHz, ±1400 V, ±2%, Pico Technology, Tyler, TX, USA), and LEM PR30 current probe (dc to 20 kHz, ±20 A, ±1%, LEM Europe GmbH, Fribourg, Switzerland). Additionally, two current transducers of the LA 55-P model (LEM
® Company, Geneva, Switzerland) were used to measure PV and grid currents, while PV and grid voltages were measured using two voltage transducers of the LV 25-P model (LEM
® Company, Geneva, Switzerland). The switching frequency of the multilevel grid-connected inverter is set to 2.5 kHz. For digital implementation of current and voltage controllers, as well as the phase-locked loop (PLL) and the RCC-MPPT algorithms, a digital signal processor (DSP TMS320F28377D) was used to generate the PWM signals for the H-bridge and the LDN boards of the multilevel LDN inverter. An optical interface board links DSP with power boards. Results are shown by oscilloscope screenshots, elaborating and emphasizing the signals of interest. The main parameters of the experimental setup are given in
Table 1.
The dc source has been implemented by a resistive voltage supply with variable series resistance for preliminary steady-state and transient tests, according to the scheme of
Figure 15. The corresponding parameters are given in
Table 2.
For realistic tests, a reduced-scale array consisting of two series-connected PV modules has been adopted, introducing different irradiance conditions by covering/uncovering with a white sheet, well representing sunny and cloudy conditions (the sun irradiance on the PV module surface ranges between approximately 100% and 40%), as shown in the right side of
Figure 16. PV modules, placed on the roof of the building, supply the conversion system in the Lab at the ground floor using a connection cable (length of approximately 40 m). The main parameters of the PV source are given in
Table 3, whereas the corresponding
I-
V and
P-
V characteristics, obtained from the Lab by the charging transient of a capacitor (1 mF), are given in
Figure 17.
The first test is carried out in order to verify the input/output steady-state waveforms of the considered multilevel inverter, in the grid-connected configuration shown in
Figure 15 with resistive dc supply (linear-equivalent PV source). In particular,
Figure 18a shows grid voltage and current (top half screen) and PV voltage and current (bottom half screen), whereas
Figure 18b shows the time zoom of inverter voltage and current (top half screen) and PV voltage and current (bottom half screen). As expected, the inverter voltage has a proper multilevel waveform over five levels, and inverter (grid) current is almost sinusoidal despite the switching frequency being only 2.5 kHz, with unity power factor. PV voltage and PV current have oscillations, including both first and second harmonic components (50 and 100 Hz, respectively), in phase opposition.
The following tests are carried out in order to verify the dynamic performance of the different RCC-MPPT algorithms in the case of irradiance transients. In particular, two sets of experimental tests have been considered. In the first tests presented in
Figure 19 and
Figure 20 the linear-equivalent PV source has been selected in order to simulate extremely fast irradiance transients by switching on/off the series resistances, performing dynamic comparative tests for all the four types of RCC-MPPT algorithms. The last tests presented in
Figure 21 are performed considering the real PV source, introducing irradiance transients by shadowing/unshadowing the PV modules by a white sheet, well representing the effects of real clouds (
Figure 16 and
Figure 17).
Figure 19 shows grid voltage and current (top half screen) as well as PV voltage and current (bottom half screen) in the case of transients obtained by switching on/off the series resistances (
Figure 15,
Table 2), representing a step irradiance transient. Diagrams in
Figure 19a are obtained by the basic RCC scheme with low-pass filters based on
MAvg over
T/2 (100 Hz, corresponding to
Figure 11), whereas diagrams in
Figure 19b are obtained by the modified RCC scheme with low-pass filters based on
MAvg over
T (50 Hz, corresponding to
Figure 13).
In both cases, as expected, the steady-state MPP voltage is equal to the half of the dc source voltage (VS = 100V, VMPP = 50V). In this case, the (equivalent) irradiance step is seen as a perturbation by the PV voltage controller. Correspondingly, the PV current shows a fast step transient.
Despite the basic RCC scheme giving acceptable results, it leads to larger overshoots and higher settling times comparing to the modified RCC.
Figure 20 shows the same quantities with the same kind of transients as in
Figure 19, but referred to the modified RCC schemes employing only a specific harmonic component (reference is made to
Figure 12). In particular, diagrams in
Figure 20a are obtained by the modified RCC scheme based on the 2nd harmonic component (100 Hz), whereas diagrams in
Figure 20b are obtained by the modified RCC scheme based on the first harmonic component (50 Hz). Both these modified RCC-MPPT schemes give similar results, being similar the amplitude of voltage and current harmonics (
Figure 7 and
Figure 8), with smoothed overshoots and short settling times for the PV variables.
In particular, the modified RCC scheme employing the first harmonic component (50 Hz) seems to be more effective, also offering the advantage of using the highest harmonic amplitude in the typical modulation index range for grid-connected PV generation schemes (i.e.,
m between 0.7 and 0.8). For these reasons, only this last modified RCC-MPPT scheme is considered in the last tests presented in
Figure 21, considering a real PV source (two PV modules), in real environmental operating conditions, and with realistic irradiance transients. Increasing and decreasing sun irradiance transients obtained by shadowing and unshadowing the PV modules by a white sheet have been considered, corresponding to the P-V and I-V characteristics of
Figure 17 (500 W/m
2 and 200 W/m
2).
In particular,
Figure 21 shows grid voltage and current (top half of the screen), together with PV voltage and the estimation of
dP/
dV (bottom half of the screen). As expected, the estimation of
dP/
dV fails during the initial part of the transient, but without introducing particular drawbacks in PV and grid variables. In fact, both for increasing and decreasing irradiance transients, grid current amplitude has a smoothed and fast profile, without significant overshoots.
6. Efficiency Analysis in Comparison to the Basic H-Bridge Configuration
As a final remark, the proposed multilevel conversion scheme, in
Figure 1b, is compared with the basic H-bridge conversion scheme, in
Figure 1a, from the point of view of the overall efficiency. In particular, a comparative estimation of power losses is carried out introducing some simplifying assumptions.
Generally speaking, the multilevel converter itself has one additional leg (with two additional power switches), i.e., three legs instead of two, with a consequent increase in conduction and switching losses being the main disadvantage of multilevel configurations. On the other hand, the reduced harmonic distortion in multilevel output voltage (inter-level voltage excursion is half, passing from 3 to 5 levels) makes it possible to reduce the inductance (Lf) of the ac-link inductor to obtain the same grid current distortion, reducing inductor losses. This is one of the known advantages of multilevel configurations.
With reference to the multilevel inverter losses, for the LDN leg in series with the two H-bridge legs, they share the same current, so each leg has the same conduction losses. The steady-state voltage the half in the LDN leg, as discussed in
Section 2, the switching losses in the LDN leg are the half compared to the switching losses in the individual H-bridge legs. Supposing conduction and switching losses equally shared, as in most of the switching converter design, the additional LDN leg introduces 50% more of the conduction losses, and 25% more of the switching losses. So, comparing to the basic H-bridge inverter, the multilevel inverter has almost 37.5% of additional losses.
With reference to the ac-link inductor, in case of multilevel inverter, it can be designed for the half of the inductance (Lf/2) compared to the basic H-bridge scheme (Lf), since the voltage harmonic distortion is almost half, leading to almost the same current harmonic distortion. Supposing the use of the same amount of copper for the reactor winding, and neglecting the core losses (if any), the copper losses are reduced to 50%, with the winding resistance reduced to half (turns are √2 times less and the wire cross area can be √2 times more to have the same copper weight), and the ac-link reactor current the same.
All in all, a real benefit in terms of efficiency can be experienced in the case of the multilevel inverter (H-bridge + LDN) compared to basic inverter (only H-bridge) especially in case of an overall conversion system design with lower inverter losses (that are increased 37.5%) compared to ac-link inductor losses (that are decreased by 50%).
7. Conclusions
In this paper, a single-phase single-stage PV generation system with multilevel output voltage waveforms and an improved RCC-MPPT algorithm has been proposed and examined in detail. The multilevel inverter is implemented by an LDN cell, as a kind of retrofit to the basic H-bridge cell, increasing the output voltage levels from three to five. In addition to the second harmonic resulting from the basic H-bridge configuration, a multilevel configuration introduces additional voltage and current harmonics on the input (PV) side. In particular, a relevant first-order harmonic is noticeable, the third harmonic is slightly appreciable, whereas higher-order harmonics are completely negligible. Both PV voltage and current harmonic amplitudes are analytically calculated in the whole modulation range, offering the possibility of a precise and effective design of the dc-link capacitor to satisfy the ripple requirements.
Due to the additional harmonics, the basic RCC-MPPT scheme becomes inadequate, leading to a misestimation of dP/dV. A modified RCC scheme extracting the amplitude of a specific harmonic from PV voltage and current waveforms has been proposed in order to overcome this drawback. Reference has been made to the harmonic with highest amplitude in order to maximize the resolution, leading to a correct and precise estimation of dP/dV. It has been verified that a correct estimation of dP/dV can be simply obtained by doubling the time window of low-pass filters in the RCC scheme (i.e., moving average, from T/2 to T). It has been proven that the resulting dP/dV is a weighted average of all the dP/dV estimations performed by the individual PV voltage and current harmonics, the weight being the individual voltage harmonic amplitude itself.
Numerical and experimental tests have been carried out to prove the effectiveness of the whole PV generation scheme, including multilevel waveforms and improved RCC-MPPT algorithms. Both the linear-equivalent PV source and real PV sources have been implemented in the experimental setup, considering both steady-state and fast sun irradiance transient conditions in order to verify the dynamic performance of the different RCC-MPPT methods.