Application of Multi-Objective PSO Algorithm for Static Reactive Power Dispatch

被引：0
|
作者：
Dhifaoui, Chefai [1 ]
Guesmi, Tawfik [1 ]
Welhazi, Yosra [1 ]
Abdallah, Hsan Hadj [1 ]
机构：
[1] ENIS, Natl Engn Sch Sfax, Control & Energies Management CEM Lab, Sfax, Tunisia
来源：
2014 5TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC) | 2014年
关键词：
multi-objective particle swarm optimization; reactive power dispatch; multi-objective optimization; PARTICLE SWARM OPTIMIZATION; VOLTAGE CONTROL; ECONOMIC-DISPATCH; FUZZY; FLOW;
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 presents the application of multiple-objective particle swarm optimization (MOPSO) algorithm for solving the static reactive power dispatch (RPD) problem. The optimal RPD problem is a nonlinear multi-objective optimization problem which involves the simultaneous minimization of two objective functions. The first function is the total real power losses in transmission lines. While the second one is the voltage deviation at load buses. This optimization is done by considering functional equality and inequality constraints. Since the problem is treated as a true multi-objective optimization problem, different trade-off solutions are provided. The decision maker has an option to choose a solution among the different trade-off solutions provided in the pareto-optimal front. The three-machine nine-bus system is used and the results show the effectiveness of MOPSO and confirm its potential to solve the multi-objective RPD problem.
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页数：6
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