Local voltage predictive control of high PV‐penetrated distribution network based on voltage decoupling
Abstract With the awareness of global environmental protection, the generation of photovoltaic (PV) power is increasing rapidly. Local voltage/Var control is widely studied to overcome the real‐time change in PV power generation. The stability condition of local controls is strictly dependent on the...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2022-10-01
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Series: | IET Renewable Power Generation |
Online Access: | https://doi.org/10.1049/rpg2.12547 |
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author | Xi Zeng Hongbin Wu Yuting Hua Bin Xu Jinjin Ding Xianjun Qi |
author_facet | Xi Zeng Hongbin Wu Yuting Hua Bin Xu Jinjin Ding Xianjun Qi |
author_sort | Xi Zeng |
collection | DOAJ |
description | Abstract With the awareness of global environmental protection, the generation of photovoltaic (PV) power is increasing rapidly. Local voltage/Var control is widely studied to overcome the real‐time change in PV power generation. The stability condition of local controls is strictly dependent on the system information, and the control parameter is chosen considering both the stability condition and dynamic performance, which limits its scalability and makes the parameter setting difficult. In this work, the coupling between node voltages is separated in the prediction time, and a local voltage predictive control strategy is proposed to reduce the voltage deviation with respect to the reference voltage. The proposed control is implemented by using historical local data and current local measurements. The control parameter is the data length, which has less correlation with the system information, and the control performance is less sensitive to the control parameter. The proposed control can be regarded as a conventional local control with dynamic compensation, which improves the dynamic performance and the steady‐state error. The proposed local control is tested on a practical distribution system. The simulation result demonstrates the proposed control achieves better performance than the conventional local control under different application scenarios and weather conditions. |
first_indexed | 2024-04-11T21:26:24Z |
format | Article |
id | doaj.art-0a49eef344624a7fa15496ea1ed4dbff |
institution | Directory Open Access Journal |
issn | 1752-1416 1752-1424 |
language | English |
last_indexed | 2024-04-11T21:26:24Z |
publishDate | 2022-10-01 |
publisher | Wiley |
record_format | Article |
series | IET Renewable Power Generation |
spelling | doaj.art-0a49eef344624a7fa15496ea1ed4dbff2022-12-22T04:02:22ZengWileyIET Renewable Power Generation1752-14161752-14242022-10-0116132908292010.1049/rpg2.12547Local voltage predictive control of high PV‐penetrated distribution network based on voltage decouplingXi Zeng0Hongbin Wu1Yuting Hua2Bin Xu3Jinjin Ding4Xianjun Qi5Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of Technology Hefei ChinaAnhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of Technology Hefei ChinaInstitute of Energy Hefei Comprehensive National Science Center, Anhui Hefei ChinaState Grid Anhui Electric Power Research Institute Hefei ChinaState Grid Anhui Electric Power Research Institute Hefei ChinaAnhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of Technology Hefei ChinaAbstract With the awareness of global environmental protection, the generation of photovoltaic (PV) power is increasing rapidly. Local voltage/Var control is widely studied to overcome the real‐time change in PV power generation. The stability condition of local controls is strictly dependent on the system information, and the control parameter is chosen considering both the stability condition and dynamic performance, which limits its scalability and makes the parameter setting difficult. In this work, the coupling between node voltages is separated in the prediction time, and a local voltage predictive control strategy is proposed to reduce the voltage deviation with respect to the reference voltage. The proposed control is implemented by using historical local data and current local measurements. The control parameter is the data length, which has less correlation with the system information, and the control performance is less sensitive to the control parameter. The proposed control can be regarded as a conventional local control with dynamic compensation, which improves the dynamic performance and the steady‐state error. The proposed local control is tested on a practical distribution system. The simulation result demonstrates the proposed control achieves better performance than the conventional local control under different application scenarios and weather conditions.https://doi.org/10.1049/rpg2.12547 |
spellingShingle | Xi Zeng Hongbin Wu Yuting Hua Bin Xu Jinjin Ding Xianjun Qi Local voltage predictive control of high PV‐penetrated distribution network based on voltage decoupling IET Renewable Power Generation |
title | Local voltage predictive control of high PV‐penetrated distribution network based on voltage decoupling |
title_full | Local voltage predictive control of high PV‐penetrated distribution network based on voltage decoupling |
title_fullStr | Local voltage predictive control of high PV‐penetrated distribution network based on voltage decoupling |
title_full_unstemmed | Local voltage predictive control of high PV‐penetrated distribution network based on voltage decoupling |
title_short | Local voltage predictive control of high PV‐penetrated distribution network based on voltage decoupling |
title_sort | local voltage predictive control of high pv penetrated distribution network based on voltage decoupling |
url | https://doi.org/10.1049/rpg2.12547 |
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