Universiti Teknologi Malaysia Institutional Repository

Minimizing harmonic distortion impact at distribution system with considering large-scale EV load behaviour using modified lightning search algorithm and pareto-fuzzy approach

Syed Nasir, S. N. and Jamian, J. J. and Mustafa, M. W. (2018) Minimizing harmonic distortion impact at distribution system with considering large-scale EV load behaviour using modified lightning search algorithm and pareto-fuzzy approach. Complexity, 2018 . ISSN 1076-2787

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Official URL: https://doi.org/10.1155/2018/6587493

Abstract

This research is focusing on optimal placement and sizing of multiple variable passive filter (VPF) to mitigate harmonic distortion due to charging station (CS) at 449 bus distribution network. There are 132 units of CS which are scheduled based on user behaviour within 24 hours, with the interval of 15 minutes. By considering the varying of CS patterns and harmonic impact, Modified Lightning Search Algorithm (MLSA) is used to find 22 units of VPF coordination, so that less harmonics will be injected from 415 V bus to the medium voltage network and power loss is also reduced. Power system harmonic flow, VPF, CS, battery, and the analysis will be modelled in MATLAB/m-file platform. High Performance Computing (HPC) is used to make simulation faster. Pareto-Fuzzy technique is used to obtain sizing of VPF from all nondominated solutions. From the result, the optimal placements and sizes of VPF are able to reduce the maximum THD for voltage and current and also the total apparent losses up to 39.14%, 52.5%, and 2.96%, respectively. Therefore, it can be concluded that the MLSA is suitable method to mitigate harmonic and it is beneficial in minimizing the impact of aggressive CS installation at distribution network.

Item Type:Article
Uncontrolled Keywords:behavioral research, harmonic distortion, learning algorithms
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:79844
Deposited By: Narimah Nawil
Deposited On:29 Feb 2020 13:16
Last Modified:29 Feb 2020 13:16

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