Title: Techno-economic analysis of novel multi-objective soft computing technique

Authors: Gourab Das

Addresses: Department of Applied Physics, University of Calcutta, 92, Acharya Prafulla Chandra Road, Kolkata 700009, India

Abstract: The optimal DG placement in radial distribution system is an important way for techno-economic analysis. The maximum technical benefits can be extracted by minimising the distribution power loss as well as bus voltage deviation, whereas the maximum economical benefits can be procured by minimising the total yearly economic loss which includes installation, operation and maintenance cost. So for the maximum techno-economic benefits, all three objectives should be simultaneously minimised by considering a multi-objective optimisation technique. For optimal results, a Pareto optimal concept-based a novel multi-objective quasi-oppositional grey wolf optimiser (MQOGWO) algorithm has been proposed. The performance of the proposed algorithm has been tested on IEEE-33 bus radial distribution system. In this analysis, various voltage dependent load models such as constant power, constant current, constant impedance, residential, industrial and commercial load models have been considered at different loading conditions like light load, full load and heavy load. The effects of DG type on the system performance has also been analysed to find the best optimal solution.

Keywords: distributed generation; yearly economic loss; voltage deviation; MQOGWO; power loss; optimal DG placement; ODGP.

DOI: 10.1504/IJBIC.2022.127505

International Journal of Bio-Inspired Computation, 2022 Vol.20 No.3, pp.172 - 182

Received: 02 May 2020
Accepted: 03 May 2021
Published online: 07 Dec 2022 *

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