Hybrid-Swarm Evolutionary Programming Based Technique for Optimal Placement and Sizing DGPV for Loss Control in Power System

Authors

  • Muhammad Akmal Muhamad Hapiz, Ismail Musirin, Siti Rafidah Abdul Rahim, Muhamad Hatta Hussain, Muhammad Murtadha Othman, A. V. Senthil Kumar, Nor Laili Ismail

DOI:

https://doi.org/10.17762/msea.v71i3.206

Abstract

Photovoltaic energy generation has significant development potential as a clean and renewable energy source. Non-optimum of distributed, grid-connected photovoltaic (DGPV) sizing and placement can lead to over- compensation or under-compensation in a loss reduction scheme. This study proposes a method for finding the optimal placement and size of DGPV to reduce total system losses in a power system. This work presents a new method of optimization that integrates Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) in the Hybrid Swarm Evolutionary Programming (HSEP). This study purpose is to find the right placement and sizing of DGPV to control the loss in power system. DGPV were optimised utilising a metaheuristic algorithm with high exploitation capability. The proposed HSEP technique was utilized to optimize the sizing and location for DGPV for loss control in power system. This revealed that the proposed HSEP outperformed EP in achieving lower loss value.

Downloads

Published

2022-06-09

How to Cite

Muhammad Akmal Muhamad Hapiz, Ismail Musirin, Siti Rafidah Abdul Rahim, Muhamad Hatta Hussain, Muhammad Murtadha Othman, A. V. Senthil Kumar, Nor Laili Ismail. (2022). Hybrid-Swarm Evolutionary Programming Based Technique for Optimal Placement and Sizing DGPV for Loss Control in Power System. Mathematical Statistician and Engineering Applications, 71(3), 676 –. https://doi.org/10.17762/msea.v71i3.206

Issue

Section

Articles