Implementation of Multi-objective Particle Swarm Optimization in Distribution Network for High-efficiency Allocation and Sizing of SAPFs

Zebin Yang, Fang Zhuo, Ran Tao, Ziqian Zhang, Hao Yi, Meng Wang, Chengzhi Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

The traditional control strategies of shunt active power filter (SAPF) is primarily focused on the compensation of local non-linear loads, which may become uneconomical for the network with a number of distributed non-linear loads. In this paper, two methods applied to the allocation and sizing of multiple shunt active filters in distribution network are proposed and compared, including an improved particle swarm optimization (PSO) algorithm with one mixed objective function and a multi-objective particle swarm optimization (MOPSO) algorithm. To evaluate the capability of the proposed methods, the IEEE 18-bus test system is employed in simulation. Simulation results confirms that both methods can achieve the goal but the MOPSO-based algorithm is more efficient and universal in the allocation and sizing of multiple SAPFs compared with the PSO based algorithm.

Original languageEnglish
Title of host publication2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781728133980
DOIs
Publication statusPublished - 1 Aug 2019
Event22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China
Duration: 11 Aug 201914 Aug 2019

Publication series

Name2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference22nd International Conference on Electrical Machines and Systems, ICEMS 2019
CountryChina
CityHarbin
Period11/08/1914/08/19

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Keywords

  • Harmonic compensation
  • Multi-objective particle swarm optimization(MOPSO)
  • Particle swarm optimization(PSO)
  • Shunt active power filter (SAPF)

ASJC Scopus subject areas

  • Control and Optimization
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Yang, Z., Zhuo, F., Tao, R., Zhang, Z., Yi, H., Wang, M., & Zhu, C. (2019). Implementation of Multi-objective Particle Swarm Optimization in Distribution Network for High-efficiency Allocation and Sizing of SAPFs. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 [8922399] (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICEMS.2019.8922399