Distributed photovoltaic consumption strategy based on dynamic reconfiguration of distribution network

被引:0
|
作者
Liu L. [1 ]
Peng C. [1 ]
Wen Z. [1 ]
Sun H. [1 ]
机构
[1] School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang
基金
中国国家自然科学基金;
关键词
Distribution network reconfiguration; Index differential evolution algorithm; Multi-objective; Photovoltaic consumption; Shortest confidence interval;
D O I
10.16081/j.epae.201911034
中图分类号
学科分类号
摘要
In order to improve the photovoltaic consumption rate of distribution network integrated with photo-voltaic, a new distributed photovoltaic consumption strategy is proposed based on dynamic reconfiguration of distribution network. An optimal multi-objective reconfiguration model of distribution network with the optimization objects of maximum photovoltaic consumption ratio and minimum switching times is established, which comprehensively considers the factors of load demand variation in each period, uncertainty of distribu-ted photovoltaic output and switching times, etc. A fast solution method of the shortest confidence interval is proposed according to the rectangular formula and characteristics of photovoltaic output, which can quickly calculate the shortest confidence interval of Beta distribution at any confidence level, and solve the problem of inaccurate estimation of photovoltaic output error interval. A new multi-objective index differential evolution algorithm is designed to solve the model, which introduces the characteristics of exponential function as both concave function and subtraction function into differential evolution algorithm, and achieves the effect of considering both individual diversity and convergence speed. A case of IEEE 33-bus system integrated with distributed photovoltaic is taken as an example to verify the effectiveness of the proposed stra-tegy. © 2019, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码:56 / 62
页数:6
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