Research on The Location and Capacity of The Distributed Generation in Distribution Network

被引:0
|
作者
Li, Yuhang [1 ]
机构
[1] Nari Technol State Grid Elect Power Res Inst Co L, Nari Tech Power Distribut & Rural Electrificat Br, Nanjing, Peoples R China
关键词
component: distributed generation; PSO algorithm; chaos search; location and capacity;
D O I
10.1109/ICDSBA48748.2019.00100
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Distributed Generation plays an important role in promoting sustainable economic and social development. It has a huge contribution to optimizing energy structure, coping with climate change and protecting ecological environment. The way for selecting and fixing the capacity, therefor, is a very important part of the implementation process. Based on chaotic search and particle swarm optimization, this paper implements an economical and practical method for distributed power supply location and capacity by analyzing grid loss. Through the analysis of the example, the new algorithm, which is superior to the original particle swarm optimization algorithm in calculation accuracy, convergence velocity and optimization ability, provides a theoretical base for multi-objective planning of distributed generation supply.
引用
收藏
页码:459 / 463
页数:5
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