The Optimal Allocation and Operation of an Energy Storage System with High Penetration Grid-Connected Photovoltaic Systems

Hui Wang, Jun Wang, Zailin Piao, Xiaofang Meng, Chao Sun, Gang Yuan and Sitong Zhu
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Hui Wang: School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Jun Wang: School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Zailin Piao: School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Xiaofang Meng: School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Chao Sun: State Grid Yingkou Power Supply Company, Yingkou 115000, China
Gang Yuan: School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Sitong Zhu: School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China

Sustainability, 2020, vol. 12, issue 15, 1-22

Abstract: High-penetration grid-connected photovoltaic (PV) systems can lead to reverse power flow, which can cause adverse effects, such as voltage over-limits and increased power loss, and affect the safety, reliability and economic operations of the distribution network. Reasonable energy storage optimization allocation and operation can effectively mitigate these disadvantages. In this paper, the optimal location, capacity and charge/discharge strategy of the energy storage system were simultaneously performed based on two objective functions that include voltage deviations and active power loss. The membership function and weighting method were used to combine the two objectives into a single objective. An energy storage optimization model for a distribution network considering PV and load power temporal changes was thus established, and the improved particle swarm optimization algorithm was utilized to solve the problem. Taking the Institute of Electrical and Electronic Engineers (IEEE)-33 bus system as an example, the optimal allocation and operation of the energy storage system was realized for the access of high penetration single-point and multi-point PV systems in the distribution network. The results of the power flow optimization in different scenarios were compared. The results show that using the proposed approach can improve the voltage quality, reduce the power loss, and reduce and smooth the transmission power of the upper-level grid.

Keywords: photovoltaic (PV); energy storage system; high penetration; distribution network; optimal allocation; optimal operation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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