An Enhanced Jaya Optimization Algorithm (EJOA) for Solving Multi-Objective ORPD Problem

Abstract

This article presents an enhanced Jaya optimization algorithm (EJOA) for solving a multi objective function (MOF) of the optimal reactive power dispatch (ORPD) problem. This solution aims to determine the optimal scheduling of control variables to achieve the ORPD primary objectives as well as respecting equality and inequality constrains. This problem is concerned with minimizing the real power losses (P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</sub> ) and voltage deviation (VD) in power systems. The ORPD problem can be formulated as a non-linear and complex framework. The MOF is dependent on a combination of weighted sum method and fuzzy logic to find the best compromise solution of the competitive objective functions (COFs). For proving the effectiveness of the proposed EJOA, two test systems, IEEE 30-bus system and the network of west delta as a real system (WDRN), are used to prove the capability of the proposed Jaya algorithm with weight sum method and fuzzy member ship for solving a multi-objective ORPD problem. The obtained results confirm that the proposed Jaya algorithm is an effective tool that can makes a noticeable enhancement on solving ORPD problem.