Novel Hybrid Harmony Search method well perform in higher unit system for ELD

Abstract

Development occur in each and every field of engineering. The researchers worked harder and concentrate to achieve a certain goal in their prospective weather it may be in power system, power electronics or in optimization due to that the development happen day by day. In case of optimization method point of view, previously most of the optimization method such as Particle Swarm Optimization (PSO), Differential Evolutionary (DE), and Harmony Search (HS) etc. are having lots of deficiencies so by making hybridization of two or three method making the new method become more reliable and reduced the deficiencies with incorporation the advantage in hybrid method. Now a days lots of hybrid methods have been developed such as Evolutionary-HS, Improved-HS, Self-Adaptive Differential HS (SADHS) method, Improved HS Algorithm (IHSA), Normal Boundary intersection-based multi-objective HS method, Random-Drift-PSO (RDPSO), and hybrid method consisting of Differential Evolutionary (DE) with biogeography-based optimization (DE-BBO) method, hybrid stochastic search-based approach UC (HSSUC) method and so on. Even it has been observed that hybrid method performs well as it accumulate the benefits or advantages of all methods incorporated in it. Therefore, new hybrid optimization in addition to various method are becoming essential to overcome the deficiencies in existing method. In this article we proposed a hybrid harmony search (HHS) optimization technique  which is combined of Harmony Search (HS),  Differential Evolutionary (DE) and Particle Swarm Optimization (PSO) and applied to power system application in Economic Load Dispatch (ELD) in a six unit system (Thermal unit) for cost and loss minimization. The simulation have been perform in MATLAB software and results are compared. Furthermore the proposed method have been applied in a fifteen unit system in economic load dispatch (ELD) application for both loss and cost minimization and result are compared.