Pareto Front of Multi-objective Optimal Reactive Power Dispatch

被引：0

作者：

Zhang, Cong ^{[1
]}

Chen, Haoyong ^{[1
,3
]}

Xu, Xuanhao ^{[1
]}

Cai, Runqing ^{[2
]}

机构：

[1] South China Univ Technol, Sch Elect Engn, Guangzhou, Guangdong, Peoples R China

[2] China Guangzhou Grid, Power Supply Bur, Guangzhou, Guangdong, Peoples R China

[3] Asia Pacific Res Inst Smart Grid & Renewable Ener, Kowloon, Hong Kong, Peoples R China

来源：

2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC) | 2014年

基金：

中国国家自然科学基金;

关键词：

optimal reactive power dispatch; multi-objective nonlinear programming; Pareto front; Pareto optimum solution; primal dual interior point method; GENETIC ALGORITHM;

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：

In this paper, we are aimed to search the Pareto front of multi-objective optimal reactive power dispatch by the primal dual interior point method. In the front part are the introductions of optimal reactive power dispatch model, the concepts of Pareto optimum solution and Pareto front, and the primal dual interior point method. In the rear part, the process of searching Pareto front will be presented, followed by the case study which consists of three cases. By conducting case study, we concludes that the primal dual interior point method performs effectively as well as efficiently in searching the Pareto front of multi- objective optimal reactive power dispatch.

引用

页数：6

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