| Issue |
E3S Web Conf.
Volume 182, 2020
2020 10th International Conference on Power, Energy and Electrical Engineering (CPEEE 2020)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 5 | |
| Section | Energy and Energy Storage Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202018203003 | |
| Published online | 31 July 2020 | |
Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate
1 State Key Lab of Control and Simulation of Power Systems and Generation Equipments, Dept. of Electrical Engineering, Tsinghua University, Beijing 100084, China
2 Economic Institute of Technology, State Grid Jiangsu Electric Power Company, Nanjing 210005, China
* Corresponding author: jm-li19@mails.tsinghua.edu.cn
Battery energy storage system (BESS) is one of the important solutions to improve the accommodation of large-scale grid connected photovoltaic (PV) generation and increase its operation economy. However, the strong intra-day volatility and severe curtailment of PV power sets a high demand of BESS charge-rate that is a key factor in operation models but ignored in current planning researches. This paper proposes a BESS capacity configuration model for PV generation systems which takes BESS’s ability to (dis)charge exceeds its rated power into account. The best charge-rate and power & energy capacity of BESS are optimized by particle swarm optimization (PSO) algorithm. Through an analysis of the annual output statistics of PV power station in the northwest of China, the results show that when considering the high charge-rate of BESS, the optimal BESS capacity configuration rises and comprehensive income of the PV-BESS system will increase.
© The Authors, published by EDP Sciences, 2020
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