考虑用户差异化可靠性需求的配电网规划方法  被引量:14

A Distribution Network Optimization Planning MethodBased on Differential Reliability Demand

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作  者:李俊杰 邓嘉明 姜世公 王云飞 李鹏[1] 范须露[3] LI Junjie;DENG Jiaming;JIANG Shigong;WANG Yunfei;LI Peng;FAN Xulu(School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,Hebei,China;State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209,China;State Grid Tianjin Electric Power Company,Tianjin 300010,China)

机构地区:[1]华北电力大学电气与电子工程学院,河北保定071003 [2]国网经济技术研究院有限公司,北京102209 [3]国网天津市电力公司,天津300010

出  处:《电网与清洁能源》2021年第5期74-82,共9页Power System and Clean Energy

基  金:国家电网公司总部科技项目(5400-202012118A-0-0-00)。

摘  要:综合考虑配电网中源储荷等资源的运行响应特性和终端用户的差异化可靠性需求,提出一种基于主从博弈且满足经济性、可靠性、安全性相协调的配电网双层优化规划方法。其中,上层模型以配电网经济性最优为目标,求解分布式电源选址定容结果;下层模型以用户差异化可靠性指标最优为目标,求解各时段分布式电源和可中断负荷最优出力安排。最后,采用改进的基于混沌搜索的自适应粒子群算法求解,以IEEE-33节点系统为例对所提模型与方法的有效性进行验证。仿真结果表明,该方法能够有效满足不同类型终端用户的差异化可靠性需求。Considering the operation response characteristics of source,load,storage and other resources in the distribution network and the differentiated reliability demands of end users,a two-layer optimal planning method based on mastersubordinate game and satisfying the coordination of economy,reliability and safety is proposed in this paper.The upper model aims at the optimal economic performance of the distribution network and solves the location and capacity of the distributed power supply.The lower layer model takes the user differential reliability index as the goal and solves the optimal output arrangement of distributed power supply and interruptible load in each period.Finally,an improved adaptive particle swarm optimization(PSO)algorithm based on chaotic search is used to solve the problem,and the effectiveness of the proposed model and method is verified by taking IEEE-33 node system as an example.The simulation results show that the proposed method can effectively meet the different reliability requirements of different end users.

关 键 词:差异化 可靠性需求 经济性 混沌自适应粒子群算法 主从博弈 配电网优化规划 

分 类 号:TM614[电气工程—电力系统及自动化]

 

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