高电压技术2017，Vol.43Issue(7)：2362-2369,8.DOI:10.13336/j.1003-6520.hve.20170628035
储能电池参与电网快速调频的自适应控制策略
Battery Energy Storage Systems' Self-adaptation Control Strategy in Fast Frequency Regulation
摘要
Abstract
In order to make full use of energy storage battery on the grid to improve the performances of frequency regulation,we researched the self-adaptation control strategy of fast frequency regulation for energy storage battery in power grids.By analyzing the amplitude-frequency characteristics of regional power grid containing energy storage battery,we obtained the range of maximum load disturbance the grid that could withstand.Moreover,taking into account the requirements of power grid frequency control and the limiting factors of energy storage battery capacity,we proposed a self-adaption control strategy of frequency regulation considering the state of charge (SOC) of energy storage battery,as well as time domain evaluation indices of energy storage battery participating in frequency regulation.Finally,the strategy was simulated and verified in a typical regional power grid.The results show that the proposed strategy can greatly improve the maximum value of load disturbance the regional grid that can withstand,i.e.,improve the anti-jamming capability of the grid.Compared with other control strategies,under short-term disturbance (step load disturbance) conditions,the proposed strategy does better in improving the frequency index,and under long-term disturbance (continuous load disturbance) conditions,it has more advantages in the performances of the SOC index of energy storage battery.The research results validate the effectiveness and advantages of the proposed method.关键词
储能电池/快速调频/区域电网/自适应控制/负荷扰动/荷电状态Key words
battery energy storage/fast frequency regulation/regional grid/self-adaptation control/load disturbance/state of charge引用本文复制引用
李欣然,邓涛,黄际元,黎淑娟,杨俊,邓敏..储能电池参与电网快速调频的自适应控制策略[J].高电压技术,2017,43(7):2362-2369,8.基金项目
国家自然科学基金(51477043) （51477043）
湖南省科技重大专项(2016GK1003).Project supported by National Natural Science Foundation of China (51477043),Major Science and Technology Projects of Hunan Province (2016GK1003). （2016GK1003）
