考虑需求侧响应的光储并网型微电网优化配置  被引量:156

Optimal Sizing for Grid-connected PV-and-storage Microgrid Considering Demand Response

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作  者:赵波[1] 包侃侃 徐志成[1] 张有兵[2] 

机构地区:[1]国网浙江省电力公司电力科学研究院,浙江省杭州市310014 [2]浙江工业大学信息工程学院,浙江省杭州市310023

出  处:《中国电机工程学报》2015年第21期5465-5474,共10页Proceedings of the CSEE

基  金:国家自然科学基金项目(51207140);国家电网公司科技项目:适应高密度分布式光伏系统并网的配电网规划与协调控制技术研究与应用~~

摘  要:针对我国分布式光伏的快速发展,一些地区已经形成高渗透率分布式光伏并网的示范区域。由于配电网消纳能力有限,较高的光伏渗透率已不利于配电网的安全稳定和经济运行,增加储能系统成为有效改善措施之一。该文研究对象为增加储能装置与已有分布式光伏组成并网型光储微电网,引入需求侧响应模型,对微电网储能进行优化配置,并以组合规划结合粒子群算法求解需求侧响应过程,分析需求侧响应对微电网经济效益和储能配置的影响。算例表明并网型光储微电网具有较高的经济效益,有效改善高渗透率分布式光伏并网对系统的影响和弃光限电现象;需求侧响应能够减少储能容量的配置,进一步提高光储微电网的经济效益。The high penetration distributed grid-tied photovoltaic(PV) generation demonstration areas have been formed in China due to the rapid development of PV power generation. Considering the limited PV accommodation of distributed networks, the high PV penetration integration will have negative effect on stable and economic operation of distribution system. In this paper, the object of study is grid-connected PV-and-storage microgrid system which is formed by installing storage energy in distributed PV generation system. Firstly, the storage system optimization is conducted. In addition, a demand response(DR) model is established to analyze its impact on the microgrid economic benefits and storage system optimization. A combinatorial optimization method combining with particle swarm optimization(PSO) is introduced to solve the DR model. The case study indicates the proposed grid-connected PV-and-storage microgrid system has a high economic benefits, low PV power generation curtailment, and beneficial impact on power system. It also demonstrates DR can effectively improve the load characteristics and further reduce storage capacity so that great economic benefits can be achieved.

关 键 词:分布式光伏 储能 并网型光储微电网 需求侧响应 组合规划 

分 类 号:TM615[电气工程—电力系统及自动化]

 

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