High Penetration of Solar Photovoltaic Structure on the Grid System Disruption: An Overview of Technology Advancement
Abstract
:1. Introduction
2. Solar PV System: An Overview
2.1. Steady-State Modelling
2.2. Dynamic Modelling
- (1)
- To maximize the amount of real power extracted from photovoltaic modules, MPPT (maximum power point tracking) is used [31];
- (2)
- The power level of PV modules can be verified on the DC voltage and irradiation;
- (3)
- The inverter as a function of the fixed unity power operative factor;
- (4)
- The inverter mainly represents a current source;
- (5)
- The time delay circuit is the main property of an inverter for over-and under-frequency voltage tripping;
- (6)
- The phase-locked loop (PLL) [27].
3. High Levels of PV Penetration in LV Distribution Grids
3.1. Technical Features of PV Grid-Connected Inverter
- (A)
- Main circuit structure
- (B)
- Control Strategy
3.1.1. Solar Panel Deployment for Maximum Penetration
3.1.2. Technical Framework for Photovoltaic System Interconnection
3.2. Required Control Capabilities by Photovoltaic Systems
4. High Penetration Renewable Energy
- ➢
- The Red Electrica de Espana transmission system operator’s (TSO’s) grid codes and operational procedures (POs) [64];
- ➢
- Since 2006, the Control Centre for Renewable Energy (CECRE) has been in operation. CECRE is regarded as a world-first initiative for monitoring and controlling renewable energy plants, particularly wind farms [65].
4.1. Renewable Energy Penetration in France
4.2. PV System and High Penetration
4.3. Solar PV Energy on the Grid
4.4. Development of PV Technology
5. Impact of Large-Scale Penetration
6. Comparisons Study and Importance
7. Conclusions
Future Recommendations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Circuit Penetration Level | No. of Circuits | Percentage of Circuits | ||||
---|---|---|---|---|---|---|
Hawaiian Electric | Hawai’i Electric Light | Maui Electric | Hawaiian Electric | Hawai’i Electric Light | Maui Electric | |
>120% Daytime Minimum Load (“DML”) | 101 | 21 | 8 | 24.3% | 15.4% | 5.8% |
>100% up to and including 120% DML | 29 | 9 | 17 | 7.0% | 6.6% | 12.4% |
≥75% up to and including 100% DML | 59 | 26 | 21 | 14.2% | 19.1% | 15.3% |
<75% DML | 227 | 80 | 91 | 54.6% | 58.8% | 66.4% |
Total | 416 | 136 | 137 | 100.0% | 100.0% | 100.0% |
Components | Size Options | Interpretation |
---|---|---|
PV (kW) | 5–10 | Thin films PV: DC power generation |
Battery (count) | 2 | S45S25P |
Converter (count) | 6 | DCMC converter |
Gird electricity | – | CO2 emission factor 924 g/kWh |
Challenges | Existing (with Present Penetration Levels) | Future (with Smart Cities, PHEVs, Solar Eclipse, Transactive Energy, Big Data, and Cybersecurity) | Suggested Future Solutions |
---|---|---|---|
Reverse Flow of Power | A potential issue, depending on the feeder’s point of interconnection (POI). | An increase is anticipated. Reduced the number of possible points of connection. | Feeders are loaded to a minimum. |
Concerns about voltage instability | The use of on/off load tap changers has proven to be effective. | Increase anticipated. | Geographic Smoothing (GS) in conjunction with photovoltaic fleet management. |
Complicated coordination of protection | There are no significant coordination issues with relays/inverters, sectionalizes, fuses, or reclosers. | Increased bidirectional current flow and fault current levels, increased line-to-ground voltage due to an increase in single-phase consumers, possible desensitization of substation relays, fuses blowing unexpectedly, reclosers, and sectionalizes malfunctioning. | Advanced short circuit analysis with a high penetration of photovoltaics. Intelligent Inverter (SI) with fault current monitoring and control. |
Problems with the power factor | There is no significant concern. | Expected increase. | For both utilities and people who make their electricity, dynamic reactive power control with SI can help them use less power. |
Harmonics | There is no significant concern. | Expected increase. | All SI conform to UL 1741. SI+ features Dynamic Load Harmonic Control (DLHC). Utilization of Static Synchronous Compensation Devices (STATCOMs). |
Instability of Frequency | There is no significant concern. Germany’s ‘50.2 Hz’ frequency issue. | Expected increase. | For utility−scale photovoltaic systems, GS with PV aggregation. SI+ Fault Ride Through (FRT), Energy Routing Optimization (OER). |
Losses at the feeder | Increased slightly depending on the POI. | Future possible increases. | Algorithms for optimal photovoltaic placement that are robust, OER on distribution feeders. |
The grid’s thermal limits | No discernible effects. | Expected increase. | All SI must comply with UL 1741. Location optimization of utility-scale and small−scale aggregated photovoltaic systems, OER. |
Supply−chain security | There is no significant issue. | Threatened. | Accurate forecasting methods (for supply security) should include future market analysis. Taking into account the PV system’s intermittent nature as well as the development of other dispatchable energy sources. |
Cybersecurity in Distributed Energy Resources (DER) and substations | There are no communication or control links. The IEEE 2030 standard has not been completed. | It is necessary to have reliable and well−defined communication and control protocols. In a transactive energy (TE) environment, interoperability of distributed energy resources (DRE) is critical. | Electronic Device That Is Intelligent (IEDs). IEEE 2030 standards in their entirety and adoption by all photovoltaic systems. Architecture for high−performance computing and communication. |
Dynamic modelling of high penetration photovoltaics | Distribution Management Systems (DMS) based on Geographic Information Systems (GIS) model photovoltaic (PV) systems as a negative load. | System modelling with PHEVs and the rise of prosumers would be needed to figure out how the system works. Modelling energy routes for Internet of Things (IoT) −enabled TE will need to be done. More in-depth studies on the effects of solar eclipses would be needed. | Dynamic PV systems models be developed for remote monitoring and control via GIS-based DMS and GIS−based Energy Management Systems (EMS). |
Forecasting | Forecasting is inherently uncertain. The level of precision is still quite low. | Accuracy is critical for proper planning, unit commitment, and dispatch. | Forecasting in a hybrid fashion (nowcasting + forecasting). More precise forecasting models through the use of multiple forecasting methods. |
A problem with dispatching and scheduling | There have been no significant issues reported. | Increased PV penetration in a transactive environment will necessitate the use of optimal power flow and dispatch with a high PV penetration. | Optimal Smart Inverter Scheduling (OSID). The storage system’s optimal set point. Techniques for mitigating forecast and communication errors in (OSID). |
Challenges for Higher Levels of PV Penetration | Recommendations |
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The PV output’s intermittent nature.
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Hossain, M.S.; Abboodi Madlool, N.; Al-Fatlawi, A.W.; El Haj Assad, M. High Penetration of Solar Photovoltaic Structure on the Grid System Disruption: An Overview of Technology Advancement. Sustainability 2023, 15, 1174. https://doi.org/10.3390/su15021174
Hossain MS, Abboodi Madlool N, Al-Fatlawi AW, El Haj Assad M. High Penetration of Solar Photovoltaic Structure on the Grid System Disruption: An Overview of Technology Advancement. Sustainability. 2023; 15(2):1174. https://doi.org/10.3390/su15021174
Chicago/Turabian StyleHossain, Md. Shouquat, Naseer Abboodi Madlool, Ali Wadi Al-Fatlawi, and Mamdouh El Haj Assad. 2023. "High Penetration of Solar Photovoltaic Structure on the Grid System Disruption: An Overview of Technology Advancement" Sustainability 15, no. 2: 1174. https://doi.org/10.3390/su15021174
APA StyleHossain, M. S., Abboodi Madlool, N., Al-Fatlawi, A. W., & El Haj Assad, M. (2023). High Penetration of Solar Photovoltaic Structure on the Grid System Disruption: An Overview of Technology Advancement. Sustainability, 15(2), 1174. https://doi.org/10.3390/su15021174