Multi-objective Transmission Network Planning Based on Multi-objective Optimization Algorithms

被引：0

作者：

Wang Xiaoming ^{[1
]}

Yan Jubin ^{[1
]}

Huang Yan ^{[1
]}

Chen Hanlin ^{[2
]}

Zhang Xuexia ^{[2
]}

Zang Tianlei ^{[3
]}

Yu Zixuan ^{[2
]}

机构：

[1] Chengdu Chengdian Elect Power Engn Design Co Ltd, State Grid Sichuan Econ Res Inst, Chengdu 610041, Sichuan, Peoples R China

[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 611756, Sichuan, Peoples R China

[3] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2017年

关键词：

transmission network planning; power market; transmission congestion; overload risk; MOEA/D; NSGA-II; SYSTEM; MOEA/D;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper applies multi-objective optimization algorithms to deal with transmission network planning considering electricity market environment with 'pool + bilateral trading' mode and overload risk. In planning model of transmission network, transmission congestion management and overload risk management are considered as optimizing objectives to satisfy the demands of power loads as well as balance the benefits of all participants in power market. For solving the established transmission network planning model, the Pareto optimal solution of multi-objective function is adopted in this paper. Through testing the actual 18-node transmission system based on NSGA-II and MOEA/D algorithms, the results show that the optimal transmission network planning scheme can be obtained, and verify the correctness of the transmission network planning model in power market and the validity of multi-objective optimization algorithms.

引用

页数：5

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