摘要
为充分利用储能对电网调频性能的改善作用,对储能电池参与电网快速调频的控制策略展开了研究。通过分析含储能电池的区域电网幅频特性,得到电网可承受的最大负荷扰动范围;兼顾电网调频控制要求和储能电池容量限制因素,提出一种考虑储能电池荷电状态(SOC)因素的调频自适应控制策略,并给出了储能电池参与调频的时域评价指标;最后以典型区域电网为例对该策略进行仿真验证。结果表明:所提策略能较大幅度提升区域电网所能承受的负荷扰动最大值,即改善电网的抗干扰能力;相较其他控制策略,其在短时扰动(阶跃负荷扰动)工况下,改善频率指标的效果更为显著,而在长时扰动(连续负荷扰动)工况下,其在储能电池SOC指标效果上更有优势。研究结果验证了所提方法的有效性和优势。
In order to make full use of energy storage battery on the grid to improve the performances of frequency reg- ulation, 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 re- quirements 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 strate- gy 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 ca- pability of the grid. Compared with other control strategies, under short-term dis~'bance (step load disturbance) conditions, the proposed strategy does better in improving the frequency index, and under long-term disturbance (contin- uous 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.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2017年第7期2362-2369,共8页
High Voltage Engineering
基金
国家自然科学基金(51477043)
湖南省科技重大专项(2016GK1003)~~
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
battery energy storage
fast frequency regulation
regional grid
self-adaptation control
load disturbance
state of charge