Risk Assessment of Distribution Networks Integrating Large-Scale Distributed Photovoltaics
Risk impacts on the operation of electric power distribution networks, when large amounts of distributed photovoltaics (PVs) are included, are gradually increasing to become a critical consideration for distribution networks' operations. In this paper, a risk assessment method is proposed which...
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doaj-ad66c7c113c1407cab5967816e1ea9482021-03-29T22:49:34ZengIEEEIEEE Access2169-35362019-01-017596535966410.1109/ACCESS.2019.29128048695736Risk Assessment of Distribution Networks Integrating Large-Scale Distributed PhotovoltaicsLei Wang0Minyu Yuan1https://orcid.org/0000-0002-1506-4002Fan Zhang2Xuli Wang3Lei Dai4Feng Zhao5Anhui Provincial Laboratory of Renewable Energy and Energy Saving, Hefei University of Technology, Hefei, ChinaAnhui Provincial Laboratory of Renewable Energy and Energy Saving, Hefei University of Technology, Hefei, ChinaAnhui Provincial Laboratory of Renewable Energy and Energy Saving, Hefei University of Technology, Hefei, ChinaEconomical Technical Institute, State Grid Anhui Electric Power Co. Ltd., Hefei, ChinaEconomical Technical Institute, State Grid Anhui Electric Power Co. Ltd., Hefei, ChinaState Grid Anhui Electric Power Co., Ltd., Hefei, ChinaRisk impacts on the operation of electric power distribution networks, when large amounts of distributed photovoltaics (PVs) are included, are gradually increasing to become a critical consideration for distribution networks' operations. In this paper, a risk assessment method is proposed which considers large-scale distributed PV feeding into distribution networks. Cluster partitioning is used to group large-scale distributed PV, to more accurately calculate the operational risk indicators for distribution networks with large-scale distributed PV compared to traditional risk assessment methods. A copula function is used to describe the correlation between the PV output and the load, in order to more accurately calculate power flow information compared to the traditional independent model of output and load. Node voltages over-limits and branch power flows outside boundaries are selected as the risk indicators, and a comprehensive risk indicator is introduced to more comprehensively and meaningfully evaluate the risk of distribution networks' operation. Also, the effects on the operational risk of the distribution network of load fluctuations, and, PV quantity, capacity, and location are analyzed and discussed. Finally, the IEEE34-bus system was simulated, and the results for different scenarios were calculated and analyzed. The simulation results demonstrate the effectiveness of the proposed method.https://ieeexplore.ieee.org/document/8695736/Distributedlarge-scalephotovoltaicsrisk assessment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lei Wang Minyu Yuan Fan Zhang Xuli Wang Lei Dai Feng Zhao |
spellingShingle |
Lei Wang Minyu Yuan Fan Zhang Xuli Wang Lei Dai Feng Zhao Risk Assessment of Distribution Networks Integrating Large-Scale Distributed Photovoltaics IEEE Access Distributed large-scale photovoltaics risk assessment |
author_facet |
Lei Wang Minyu Yuan Fan Zhang Xuli Wang Lei Dai Feng Zhao |
author_sort |
Lei Wang |
title |
Risk Assessment of Distribution Networks Integrating Large-Scale Distributed Photovoltaics |
title_short |
Risk Assessment of Distribution Networks Integrating Large-Scale Distributed Photovoltaics |
title_full |
Risk Assessment of Distribution Networks Integrating Large-Scale Distributed Photovoltaics |
title_fullStr |
Risk Assessment of Distribution Networks Integrating Large-Scale Distributed Photovoltaics |
title_full_unstemmed |
Risk Assessment of Distribution Networks Integrating Large-Scale Distributed Photovoltaics |
title_sort |
risk assessment of distribution networks integrating large-scale distributed photovoltaics |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Risk impacts on the operation of electric power distribution networks, when large amounts of distributed photovoltaics (PVs) are included, are gradually increasing to become a critical consideration for distribution networks' operations. In this paper, a risk assessment method is proposed which considers large-scale distributed PV feeding into distribution networks. Cluster partitioning is used to group large-scale distributed PV, to more accurately calculate the operational risk indicators for distribution networks with large-scale distributed PV compared to traditional risk assessment methods. A copula function is used to describe the correlation between the PV output and the load, in order to more accurately calculate power flow information compared to the traditional independent model of output and load. Node voltages over-limits and branch power flows outside boundaries are selected as the risk indicators, and a comprehensive risk indicator is introduced to more comprehensively and meaningfully evaluate the risk of distribution networks' operation. Also, the effects on the operational risk of the distribution network of load fluctuations, and, PV quantity, capacity, and location are analyzed and discussed. Finally, the IEEE34-bus system was simulated, and the results for different scenarios were calculated and analyzed. The simulation results demonstrate the effectiveness of the proposed method. |
topic |
Distributed large-scale photovoltaics risk assessment |
url |
https://ieeexplore.ieee.org/document/8695736/ |
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