电网侧电化学储能电站AGC控制策略优化及试验分析
CSTR:
作者:
通讯作者:

张江丰(1988-),男,硕士,高级工程师,主要从事电力系统网源协调控制技术的研究;E-mail:zhangjiangfeng0725@163.com

中图分类号:

TM912

基金项目:

国网浙江省电力有限公司科技项目(5211DS200003)


Optimization and test analysis of AGC control strategy for the grid-side electrochemical energy storage power station
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    摘要:

    储能系统具有优良的功率调节性能和频率控制能力,在新能源消纳中发挥了重要的作用。详细介绍浙江电网侧储能电站全站及储能单元AGC控制策略,在考虑电池能效的基础上对该策略进行优化,提出考虑电池能耗因子的负荷分配策略。在电化学储能电站AGC现场,首先,采用常规等比例分配策略分别进行储能单位和全站AGC测试,测试结果表明,储能单元AGC控制的调节速率、响应时间、稳态误差等性能均有明显提高;然后,采用等比例、等裕度和优化分配策略分别进行AGC试验,试验结果证明,在使用考虑电池能耗因子的负荷分配策略后,储能单位内各PCS负荷分配结果具有差异性,有利于储能系统负荷快速响应。

    Abstract:

    Energy storage systems have excellent power regulation and frequency control ability, so they play an important role in absorbing new energy. The AGC control strategy of the whole station and energy storage unit of Zhejiang power grid-side energy storage power stations is introduced. The AGC control strategy is optimized based on battery energy efficiency, and a load distribution strategy considering the battery energy consumption factor is proposed. At the AGC site of an electrochemical energy storage power station, the conventional equal proportion distribution strategy is used to test the AGC of the energy storage unit and the whole station, respectively. The test results show that the regulation rate, response time, and steady-state error of AGC control of the energy storage unit are significantly improved. Then, AGC tests are carried out by using equal proportion distribution, equal margin distribution, and optimal distribution strategies. The test results show that after using the load distribution strategy considering the battery energy consumption factor, the load distribution results of PCS in the energy storage unit are different, which is conducive to the rapid load response of the energy storage system.

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张江丰,苏烨,孙坚栋,等.电网侧电化学储能电站AGC控制策略优化及试验分析[J].电力科学与技术学报,2022,37(2):173-180.
ZHANG Jiangfeng, SU Ye, SUN Jiandong, et al. Optimization and test analysis of AGC control strategy for the grid-side electrochemical energy storage power station[J]. Journal of Electric Power Science and Technology,2022,37(2):173-180.

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  • 在线发布日期: 2022-05-26
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