摘要
针对传统可靠性评估方法容易导致停电损失的问题,提出基于运行优化的含储能的电力系统可靠性评估方法。首先,根据分布式电源出力建立概率模型,并在峰谷电价机制下,建立受利益驱动影响的储能概率模型;然后,根据故障类型细化故障隔离范围,对非故障隔离区域进行孤岛划分和功率匹配,减少停电损失;最后,提出了基于序贯蒙特卡罗的可靠性评估方法,通过仿真验证了该方法的有效性。
In view of the problem that the traditional reliability evaluation method often leads to outage loss of power system, a new reliability evaluation method is proposed for power system with energy storage based on operation optimization. Firstly, a probabilistic model is established according to distributed generation output, and a profit-driven energy storage probability model is established under the peak-valley price mechanism. Secondly, the fault isolation range is refined according to fault types, and the non-fault isolation area is islanded and power matched through network reconfiguration to minimize power outage losses. Finally, a sequential Monte Carlo based reliability evaluation method is proposed. The effectiveness of method is verified through simulation.
作者
张黎明
李浩
吴亚雄
高崇
张俊潇
刘涌
ZHANG Liming;LI Hao;WU Yaxiong;GAO Chong;ZHANG Junxiao;LIU Yong(Grid Planning and Research Center,Guangdong Power Grid Company,Guangzhou 510080,China;Shanghai Proinvent Information Tech Co.,Ltd.,Shanghai 200240,China)
出处
《中国电力》
CSCD
北大核心
2022年第9期23-28,共6页
Electric Power
基金
中国南方电网有限责任公司科技项目(GDKJXM20220273)
广东电网有限责任公司电力规划专题项目(031000QQ00210004)。
关键词
新型电力系统
分布式电源
储能
运行优化
new power system
distributed generation
energy storage
operation optimization
