Switching harmonic suppression design based on multi-objective optimization algorithm with constraint processing. Issue 4 (10th July 2020)

• Record Type: Journal Article
• Authors: Huang, Songtao; Ye, Jie; Wang, Haozhe; Li, Baojin; Shen, Anwen; Deng, Junli
• Is Part Of: Compel. Volume 39:Issue 4(2020)
• Page Start: 899
• Page End: 913
• Publication Date: 2020-07-10
• Subjects: Optimal design -- Multiobjective optimization -- Constraints handling -- Harmonic suppression -- LCL filter parameters design -- StarSim software; Electrical engineering -- Data Processing -- Periodicals; Electrical engineering -- Mathematics -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Data Processing -- Periodicals; Electronics -- Mathematics -- Periodicals; 621.3
• DOI: 10.1108/COMPEL-12-2019-0489
• Languages: English
• ISSNs: 0332-1649

Abstract

Abstract : Purpose: Traditional switching harmonic suppressor design methods require domain experts to adjust design parameters due to various complex performance requirements and practical limitations in switching ripple suppressor designs. The purpose of this paper is to present a method for filter parameter design. Design/methodology/approach: An improved non-dominated sorting genetic algorithm II (NSGA II) was used in the inductor-capacitor-inductor (LCL) filter design to find the optimal design parameters, and a method was proposed to handle the constraints by transforming the them into decision variables. Findings: The performance of the proposed algorithm in parameter designing was verified by simulation on MATLAB and experimental results on hardware-in-the-loop plat-form with StarSim software. The results indicate that the optimization algorithm has a better effect than the traditional expert parameters on each optimization index, especially on the switching harmonic suppression. Originality/value: The paper presents an improved multi-objective optimization algorithm with ingenious constraints handing to obtain better filter parameters and reduces switching harmonics.