Enhanced Colliding Bodies Optimization Towards the Solution of Economic Load Dispatch Problem

Sujoy Das, Asmita Roy, Nishat Das and Sanjukta Choudhury
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Sujoy Das: Tripura Institute of Technology, Narsingarh, India
Asmita Roy: Tripura Institute of Technology, Narsingarh, India
Nishat Das: Tripura Institute of Technology, Narsingarh, India
Sanjukta Choudhury: Tripura Institute of Technology, Narsingarh, India

International Journal of Applied Management Sciences and Engineering (IJAMSE), 2021, vol. 8, issue 2, 72-90

Abstract: This paper proposes application of enhanced colliding bodies optimization algorithm (ECBO) for solving the economic load dispatch problem, which aims to get minimum generation cost through economic scheduling of generating unit. The algorithm is a novel efficient optimization algorithm, and its idea is attained from collisions, which are one-dimensional between two or more bodies. Each agent involved in this collision is shaped as a body having defined mass and defined velocity. To analyze the performance of the proposed method, it is tested on four different test systems consisting of 3, 5, 13, and 18 generating units. Both convex and non-convex fuel cost function have been considered. Numerical results have been compared with various well-known algorithms. A significant improvement in the results has been observed. It has been farther noted that an average 5.1% better results were provided by ECBO in terms of generation cost compared to other algorithms. Moreover, the simulation time is also improved. Besides this, Kruskal-Wallis non-parametric test has been performed.

Date: 2021
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