Optimal planning of battery energy storage system considering renewable energy consumption and frequency and voltage support

被引：0

作者：

Hu Z. ^{[1
]}

Cai F. ^{[1
,2
]}

Feng J. ^{[1
]}

机构：

[1] Department of Electrical Engineering, Tsinghua University, Beijing

[2] China Huaneng Group Co.，Ltd., Beijing

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 07期

关键词：

battery energy storage system; frequency support; location and sizing; renewable energy consumption; voltage support;

D O I：

10.16081/j.epae.202405026

中图分类号：

学科分类号：

摘要：

With the gradual increase of renewable energy power generation proportion,it is more difficult and stressful for the power system to absorb renewable energy power generation,and the frequency and voltage stability of the power grid are facing great challenges. Battery energy storage system(BESS) can enhance both the renewable energy consumption and the frequency and voltage supporting capability. Therefore,for improving energy storage utilization and reducing system cost,the optimal method of BESS location and sizing is studied with the consideration of using BESS for renewable energy consumption under normal conditions and using BESS for frequency and voltage support under emergency conditions. A collaborative planning model considering renewable energy consumption is built to optimize the location and sizing of centralized BESSs in transmission network and distributed BESSs in distribution network. A planning method that accounts for frequency and voltage support is proposed to respectively optimize BESS location,reactive power capacity,active power capacity and energy capacity. The BESS planning model considering multiple functions of the renewable energy consumption and the frequency and voltage support is established by constructing reserve constraints for frequency and voltage support,so as to determine the final location and capacity of BESS. Simulation analysis is conducted based on the IEEE 24-bus transmission network and the IEEE 33-bus distribution network to verify the effectiveness of the proposed method. © 2024 Electric Power Automation Equipment Press. All rights reserved.

引用

页码：3 / 12

页数：9

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