Title: Economic load dispatch problem using spider monkey optimisation algorithm

Authors: Ajay Sharma; Harish Sharma; Annapurna Bhargava; Nirmala Sharma

Addresses: University Department, Electrical Engineering, Rajasthan Technical University, Kota, 324010, India ' University Department, Computer Science and Engineering, Rajasthan Technical University, Kota, 324010, India ' University Department, Electrical Engineering, Rajasthan Technical University, Kota, 324010, India ' University Department, Computer Science and Engineering, Rajasthan Technical University, Kota, 324010, India

Abstract: The coal reserves are lessening, and subsequently fuel prices are escalating now a days. Therefore, an appropriate schedule of generating units for thermal energy is indispensable to convince this rising load demand at minimum price by reducing generation cost is termed as economic load dispatch problem (ELDP). Spider monkey optimisation algorithm (SMOA) is implied to execute ELDP. The proposed methodology considers transmission losses, prohibited operating zones (POZs), and multiple fuels constraints (MFCs). The experiments were executed over a variety of arrangements of a different number of generating units. The significance of the applied strategy to solve ELDP is analysed while assessing the reported results with other renowned methods.

Keywords: swarm intelligence; ELDP; economic load dispatch problem; spider monkey optimisation; nature inspired algorithm; real world problems.

DOI: 10.1504/IJIEI.2022.125865

International Journal of Intelligent Engineering Informatics, 2022 Vol.10 No.2, pp.145 - 159

Received: 15 Feb 2021
Accepted: 29 Nov 2021
Published online: 30 Sep 2022 *

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