An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure
Increasing distributed generations (DGs) are integrated into the distribution network. The risk of not satisfying operation constraints caused by the uncertainty of renewable energy output is increasing. The energy storage (ES) could stabilize the fluctuation of renewable energy generation output. T...
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MDPI AG
2022-10-01
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Online Access: | https://www.mdpi.com/1996-1073/15/20/7690 |
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author | Gang Liang Bing Sun Yuan Zeng Leijiao Ge Yunfei Li Yu Wang |
author_facet | Gang Liang Bing Sun Yuan Zeng Leijiao Ge Yunfei Li Yu Wang |
author_sort | Gang Liang |
collection | DOAJ |
description | Increasing distributed generations (DGs) are integrated into the distribution network. The risk of not satisfying operation constraints caused by the uncertainty of renewable energy output is increasing. The energy storage (ES) could stabilize the fluctuation of renewable energy generation output. Therefore, it can promote the consumption of renewable energy. A distributed photovoltaic (PV) and ES optimal allocation method based on the security region is proposed. Firstly, a bi-level optimal allocation model of PV and ES is established. The outer layer is a nonlinear optimization model, taking the maximum power supply benefit as the objective function. The inner layer is a day-ahead economic dispatching model. Then, a quick model solving method based on the steady-state security region is proposed. An initial allocation scheme of PV and ES is determined with the redundancy capacity. In addition, the linear hyperplane coefficient of the security region is used to convert the nonlinear day-ahead economic dispatching model into a linear one. Finally, the proposed method is used to analyze the improved IEEE 33-node system. It is found that a moderate curtailment measure of distributed PV peak output and the allocation of energy storage have a significant effect on the power supply benefit of the distribution system. The optimal quota capacity of DG exceeds the sum of the maximum load and the branch capacity. In addition, the optimal allocation scheme is closely related to the cost and technical parameters of distributed PV and ES. Dynamic allocation schemes should be formulated for distribution network. |
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institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
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spelling | doaj.art-904cb592c3df4a72a460ce3ff2e4e13b2023-11-23T23:58:58ZengMDPI AGEnergies1996-10732022-10-011520769010.3390/en15207690An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment MeasureGang Liang0Bing Sun1Yuan Zeng2Leijiao Ge3Yunfei Li4Yu Wang5School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaState Grid Tianjin Electric Power Co., Ltd., Tianjin 300300, ChinaState Grid Tianjin Electric Power Co., Ltd., Tianjin 300300, ChinaIncreasing distributed generations (DGs) are integrated into the distribution network. The risk of not satisfying operation constraints caused by the uncertainty of renewable energy output is increasing. The energy storage (ES) could stabilize the fluctuation of renewable energy generation output. Therefore, it can promote the consumption of renewable energy. A distributed photovoltaic (PV) and ES optimal allocation method based on the security region is proposed. Firstly, a bi-level optimal allocation model of PV and ES is established. The outer layer is a nonlinear optimization model, taking the maximum power supply benefit as the objective function. The inner layer is a day-ahead economic dispatching model. Then, a quick model solving method based on the steady-state security region is proposed. An initial allocation scheme of PV and ES is determined with the redundancy capacity. In addition, the linear hyperplane coefficient of the security region is used to convert the nonlinear day-ahead economic dispatching model into a linear one. Finally, the proposed method is used to analyze the improved IEEE 33-node system. It is found that a moderate curtailment measure of distributed PV peak output and the allocation of energy storage have a significant effect on the power supply benefit of the distribution system. The optimal quota capacity of DG exceeds the sum of the maximum load and the branch capacity. In addition, the optimal allocation scheme is closely related to the cost and technical parameters of distributed PV and ES. Dynamic allocation schemes should be formulated for distribution network.https://www.mdpi.com/1996-1073/15/20/7690distribution system planningoptimal allocation methodsteady-state security regionredundancy capacityday-ahead economic dispatchingpower supply benefit |
spellingShingle | Gang Liang Bing Sun Yuan Zeng Leijiao Ge Yunfei Li Yu Wang An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure Energies distribution system planning optimal allocation method steady-state security region redundancy capacity day-ahead economic dispatching power supply benefit |
title | An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure |
title_full | An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure |
title_fullStr | An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure |
title_full_unstemmed | An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure |
title_short | An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure |
title_sort | optimal allocation method of distributed pv and energy storage considering moderate curtailment measure |
topic | distribution system planning optimal allocation method steady-state security region redundancy capacity day-ahead economic dispatching power supply benefit |
url | https://www.mdpi.com/1996-1073/15/20/7690 |
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