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Multi-Objective Evolutionary Programming (MOEP) using mutation based on adaptive mutation operator (AMO) applied for Optimal Reactive Power Dispatch


Article Information

Title: Multi-Objective Evolutionary Programming (MOEP) using mutation based on adaptive mutation operator (AMO) applied for Optimal Reactive Power Dispatch

Authors: Mahaletchumi A. P. Morgan, Nor Rul Hasma Abdullah, Mohd Herwan Sulaiman, Mahfuzah Mustafa, Rosdiyana Samad

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 14

Language: English

Categories

Abstract

Nowadays, power system operates in a stressed condition and causes the voltage at a load bus to drop to a point lower than secure limit. Hence, this research involves development of an adaptive mutation algorithm based multi-objective for Optimal Reactive Power Dispatch (ORPD) in a power system in order to minimize the total loss and the improved voltage stability simultaneously. The Optimal Reactive Power Dispatch problem is formulated as a non-linear constrained multi-objective optimization problem. Furthermore, the proposed mutation was applied into the Multi-Objective Evolutionary Programming (MOEP) in order to optimize the installation of reactive power into the power system networks. The method was a test of IEEE 30-Bus RTS systems and the results have been compared with Multi-objective Evolutionary Programming based Polynomial Mutation Operator (MOEP-PMO) indicating that MOEP-AMO outperformed MOEP-PMO.


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