Multi-objective Optimal Design of Hybrid Active Power Filter based on genetic particle swarm composite algorithm

2018 ◽  
Author(s):  
Yong Wan ◽  
Jingjie Qu ◽  
Youhua Jiang
Keyword(s):  
Optimal Design ◽  
Particle Swarm ◽  
Active Power Filter ◽  
Active Power ◽  
Multi Objective ◽  
Power Filter ◽  
Hybrid Active Power Filter

Multi-objective Design Method for Hybrid Active Power Filter

2017 ◽  
Vol 18 (6) ◽  
Author(s):  
Jingrong Yu ◽  
Limin Deng ◽  
Maoyun Liu ◽  
Zhifeng Qiu
Keyword(s):  
Design Method ◽  
Three Dimensional ◽  
Optimal Solution ◽  
Active Power Filter ◽  
Pso Algorithm ◽  
Active Power ◽  
Three Dimension ◽  
Multi Objective ◽  
Power Filter ◽  
Hybrid Active Power Filter

AbstractIn this paper, a multi-objective optimal design for transformerless hybrid active power filter (HAPF) is proposed. The interactions between the active and passive circuits is analyzed, and by taking the interactions into consideration, a three-dimensional objective problem comprising of performance, efficiency and cost of HAPF system is formulated. To deal with the multiple constraints and the strong coupling characteristics of the optimization model, a novel constraint processing mechanism based on distance measurement and adaptive penalty function is presented. In order to improve the diversity of optimal solution and the local searching ability of the particle swarm optimization (PSO) algorithm, a chaotic mutation operator based on multistage neighborhood is proposed. The simulation results show that the optimums near the ordinate origin of the three-dimension space make better tradeoff among the performance, efficiency and cost of HAPF, and the experimental results of transformerless HAPF verify the effectiveness of the method for multi-objective optimization and design.

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