摘要
为合理利用微电网储能资源,发挥储能系统的综合效用,提出微电网计划孤岛下考虑停电成本的增配储能优化策略。首先,建立考虑微电网负荷类型的停电损失模型,采用等微增率法则优化各类负荷的停电时间;然后,考虑不同时刻微电网风光出力和负荷需求不同,构建微电网计划停电典型运行场景;最后,以增配储能投资成本和切除负荷引起的停电损失之和最小为目标,以增配储能容量为决策量,建立微电网计划孤岛下考虑停电成本的储能优化配置模型,并采用粒子群算法进行求解。算例结果表明,所提方法能够在遵循负荷最优停电策略的框架下对储能容量经济增配方案做出合理决策。
To effectively utilize the energy storage resources of microgrid and give full play to the comprehensive utility of an energy storage system(ESS),an optimal ESS expanding strategy for microgrid is proposed with the consideration of outage loss of intentional islanding.First,by taking into account the types of microgrid load,a load outage loss model is established,and the outage time under various types of load is optimized by the equal incremental rate criterion.Then,considering that the wind and photovoltaic power output as well as the load demand of microgrid are different at different time,the typical operation scenarios of intentional power outage of microgrid are constructed.With the objective of minimizing the sum of the investment cost of ESS expanding and the outage loss caused by load shedding,an optimal allocation model of energy storage considering the outage loss of intentional islanding is established with the expanded capacity of ESS as a decision variable,which is solved by the particle swarm optimization(PSO)algorithm.The results of a numerical example show that the proposed method can make a reasonable decision on the economic expanding scheme for energy storage capacity under the framework of the optimal outage strategy.
作者
张红斌
金强
王宁
宋子洋
钱康
汪湘晋
ZHANG Hongbin;JIN Qiang;WANG Ning;SONG Ziyang;QIAN Kang;WANG Xiangjin(State Grid Economic and Technological Research Institute Co.,Ltd,Beijing 102209,China;School of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China;Jiangsu Power Design Institute Company,China Energy Engineering Group Co.,Ltd,Nanjing 211102,China;Electric Power Research Institute,State Grid Zhejiang Electric Power Co.,Ltd,Hangzhou 310014,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2020年第8期145-150,共6页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(51877186)
国家电网有限公司总部科技资助项目(521104180014)。
关键词
微电网
计划孤岛
储能
停电损失
优化配置
microgrid
intentional islanding
energy storage
outage loss
optimal allocation