@inproceedings{020afe883a4f43c8bf5f83d14b454add,
title = "Implementation of Multi-objective Particle Swarm Optimization in Distribution Network for High-efficiency Allocation and Sizing of SAPFs",
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.",
keywords = "Harmonic compensation, Multi-objective particle swarm optimization(MOPSO), Particle swarm optimization(PSO), Shunt active power filter (SAPF)",
author = "Zebin Yang and Fang Zhuo and Ran Tao and Ziqian Zhang and Hao Yi and Meng Wang and Chengzhi Zhu",
year = "2019",
month = aug,
day = "1",
doi = "10.1109/ICEMS.2019.8922399",
language = "English",
series = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",
address = "United States",
note = "22nd International Conference on Electrical Machines and Systems : ICEMS 2019 ; Conference date: 11-08-2019 Through 14-08-2019",
}