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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Main Authors: Gang Liang, Bing Sun, Yuan Zeng, Leijiao Ge, Yunfei Li, Yu Wang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
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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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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