摘要
海上“风-储”协同有利于提高电力系统运行稳定性,但其易受海况影响,运维难度较高。提出在电力物联网的环境下面向海上风电的储能集群协同调峰的控制方法。考虑了海上风电出力的模糊性,建立风电功率的模糊机会约束模型,并将模糊机会约束条件转化为等价清晰类,以最低运行成本和最小弃风量为目标,综合考虑系统以及各设备的运行约束条件,分别建立风-火、风-火-储调峰模型,使用布谷鸟搜索算法求出最优解。通过算例分析,结果表明,火-储联合调峰能够更好地消纳风能,并且减少系统运行成本,提高经济效益。
The collaboration of offshore the“wind-storage”system helps to improve the stability of power system operation,but it is easily affected by sea conditions and has higher difficulty in operation and maintenance.This paper proposes a control method for collaborative peak shaving of energy storage clusters for offshore wind power in the context of the power Internet of Things.Considering the fuzziness of offshore wind power output,a fuzzy chance constraint model for wind power is established,and the fuzzy chance constraint conditions are transformed into equivalent clear classes.With the goal of minimum operating cost and minimum abandoned wind volume,the wind-thermal and wind-thermal-storage peak shaving models are established respectively by comprehensively considering the operating constraints of the system and various equipment.The cuckoo search algorithm is used to find the optimal solution.The results of the case analysis show that the collaborative peak shaving of the thermal-storage system can better absorb wind energy,reduce system operating costs,and improve economic benefits.
作者
刘国伟
吴杰康
马楠
王益军
辛立胜
唐文浩
LIU Guowei;WU Jiekang;MA Nan;WANG Yijun;XIN Lisheng;TANG Wenhao(Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen 518000,Guangdong,China;School of Automation,Guangdong University of Technology,Guangzhou 510006,Guangdong,China)
出处
《电网与清洁能源》
CSCD
北大核心
2024年第7期1-10,共10页
Power System and Clean Energy
基金
广东省基础与应用基础研究基金区域联合基金项目——粤港澳研究团队项目(2020B1515130001)
中国南方电网有限责任公司科技项目(090000KK52222158)。
关键词
海上风电
储能集群
协同调峰
“风储”协同
“风-荷”不确定性
offshore wind power
energy storage cluster
collaborative peak shaving
“wind-storage”collaboration
“wind-load”uncertainties
