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...

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Main Authors: Xi Zeng, Hongbin Wu, Yuting Hua, Bin Xu, Jinjin Ding, Xianjun Qi
Format: Article
Language:English
Published: Wiley 2022-10-01
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.
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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
work_keys_str_mv AT xizeng localvoltagepredictivecontrolofhighpvpenetrateddistributionnetworkbasedonvoltagedecoupling
AT hongbinwu localvoltagepredictivecontrolofhighpvpenetrateddistributionnetworkbasedonvoltagedecoupling
AT yutinghua localvoltagepredictivecontrolofhighpvpenetrateddistributionnetworkbasedonvoltagedecoupling
AT binxu localvoltagepredictivecontrolofhighpvpenetrateddistributionnetworkbasedonvoltagedecoupling
AT jinjinding localvoltagepredictivecontrolofhighpvpenetrateddistributionnetworkbasedonvoltagedecoupling
AT xianjunqi localvoltagepredictivecontrolofhighpvpenetrateddistributionnetworkbasedonvoltagedecoupling