Coordinated Allocation of Multi-station Fusion Substation based on Improved Genetic Algorithm

被引：0

作者：

Zhang, Xiangyu ^{[1
]}

Fang, Jun ^{[1
]}

Zou, Jingfan ^{[2
]}

Chenl, Quan ^{[1
]}

Huang, Hui ^{[1
]}

Chenl, Shuo ^{[1
]}

Wang, Shuang ^{[1
]}

机构：

[1] State Grid Anhui Elect Power Co Hefei Power Suppl, Hefei 230000, Peoples R China

[2] State Grid Anhui Elect Power Co Lujiang Cty Power, Lujiang Cty 231500, Peoples R China

来源：

2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC) | 2022年

关键词：

Multi-station fusion; site selection; distributed power generation; improved genetic algorithm; DISTRIBUTED GENERATION; LOSSES; PLACEMENT;

D O I：

10.1109/IAEAC54830.2022.9930081

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the structure of the AC/DC hybrid distribution network becoming more and more complex, and the distributed generating units need to be located and fixed, a quasi-radial distribution system with 15 bus is used as the model, and an improved genetic algorithm is proposed to deal with the coordinated allocation of multi-station fusion substation problem in this paper. In this proposed method, the PDX crossover method and the domain search mutation method are used. Finally, The proposed method is verified by simulation experiments. Simulation results illustrate the improved genetic algorithm has good performance to solve the problem of DG unit location and capacity.

引用

页码：1211 / 1216

页数：6

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