引用本文:边晓燕,孙明琦,许家玉,王小宇,李国庆,李东东.计及灵活性储备的含风电多微电网系统分布式协调调控策略[J].电力自动化设备,2021,41(8):
BIAN Xiaoyan,SUN Mingqi,XU Jiayu,WANG Xiaoyu,LI Guoqing,LI Dongdong.Distributed coordinated dispatch and control strategy of multi-microgrid system with wind power considering flexibility reserve[J].Electric Power Automation Equipment,2021,41(8):
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计及灵活性储备的含风电多微电网系统分布式协调调控策略
边晓燕1, 孙明琦1, 许家玉2, 王小宇1, 李国庆3, 李东东1
1.上海电力大学 电气工程学院,上海 200090;2.国网宁波供电公司,浙江 宁波 315020;3.国网新疆电力有限公司电力调控中心,新疆 乌鲁木齐 830063
摘要:
高比例风电的接入和需求响应技术的应用对分布式架构下的多微电网系统有功功率动态平衡提出了更高的要求,有必要充分利用灵活性资源对系统进行协调调控。提出一种新颖的灵活性电池储备模型对多微电网系统灵活性备用容量进行评估,定义虚拟灵活性电池储备模型对风电场备用与需求响应负荷备用进行评估,充分挖掘其调频的潜在能力。在此基础上,基于一致性算法求解该模型下各微电网的功率分配,提出计及灵活性储备的含风电多微电网系统分布式协调调控策略,实现分布式架构下灵活性资源的协调优化。通过华东某地区实际数据验证了所提策略的有效性。算例结果表明,协调优化源-荷灵活性储备资源在保障风电消纳的同时,实现了分布式架构下系统的动态功率平衡。
关键词:  灵活性电池储备模型  多微电网  一致性算法  源-荷协调  可变减载率
DOI:10.16081/j.epae.202104013
分类号:TM73;TM614
基金项目:国家自然科学基金资助项目(51977128);上海市科学技术委员会资助项目(19020500800);上海市教育委员会“曙光计划”项目(18SG50)
Distributed coordinated dispatch and control strategy of multi-microgrid system with wind power considering flexibility reserve
BIAN Xiaoyan1, SUN Mingqi1, XU Jiayu2, WANG Xiaoyu1, LI Guoqing3, LI Dongdong1
1.College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.State Grid Ningbo Power Supply Company, Ningbo 315020, China;3.Power Dispatch and Control Center of State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830063, China
Abstract:
The access of high proportion of wind power and application of demand response technology make high requirements for dynamic balance of active power of multi-microgrid system under distributed architecture, it is necessary to fully use flexible resources for system coordinated dispatch and control. A novel flexible battery reserve model is proposed to evaluate the flexible reserve power of multi-microgrid system, and a virtual flexible battery reserve model is defined to evaluate wind farm reserve and demand response load reserve, and fully exploit their potential capacity of frequency regulation. On this basis, the power allocation of each microgrid under this model is solved based on the consensus algorithm, and a distributed coordinated dispatch and control strategy of multi-microgrid system with wind power is proposed considering the flexible reserve, which realizes coordinated optimization of flexible resources under distributed architecture. The effectiveness of the proposed strategy is verified by the actual data of a certain region in East China. Case results show that the coordinated optimization of source-load flexible reserve resource realizes the dynamic power balance of the system under distributed architecture while guarantees wind power consumption.
Key words:  flexible battery reserve model  multi-microgrid  consensus algorithm  source-load coordination  variable load shedding ratio

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