Linear interpolated multi-objective economic emission scheduling using grey wolf optimizer: a strategic balance and solution with diverse load pattern
ISSN: 0332-1649
Article publication date: 7 December 2021
Issue publication date: 11 January 2022
Abstract
Purpose
The purpose of this paper is to focus on the cost-effective and environmentally sustainable operation of thermal power systems to allocate optimum active power generation resultant for a feasible solution in diverse load patterns using the grey wolf optimization (GWO) algorithm.
Design/methodology/approach
The economic dispatch problem is formulated as a bi-objective optimization subjected to several operational and practical constraints. A normalized price penalty factor approach is used to convert these objectives into a single one. The GWO algorithm is adopted as an optimization tool in which the exploration and exploitation process in search space is carried through encircling, hunting and attacking.
Findings
A linear interpolated price penalty model is developed based on simple analytical geometry equations that perfectly blend two non-commensurable objectives. The desired GWO algorithm reports a new optimum thermal generation schedule for a feasible solution for different operational strategies. These are better than the earlier reports regarding solution quality.
Practical implications
The proposed method seems to be a promising optimization tool for the utilities, thereby modifying their operating strategies to generate electricity at minimum energy cost and pollution levels. Thus, a strategic balance is derived among economic development, energy cost and environmental sustainability.
Originality/value
A single optimization tool is used in both quadratic and non-convex cost characteristics thermal modal. The GWO algorithm has discovered the best, cost-effective and environmentally sustainable generation dispatch.
Keywords
Acknowledgements
This work is supported by the Department of EEE, Shri Vishnu Engineering College for Women (Autonomous), Bhimavaram, Andhra Pradesh, India.
Funding: This research received no funding from any agency.
Citation
Kadali, K.S., Veeraswamy, M., Ponnusamy, M. and Jawalkar, V.R. (2022), "Linear interpolated multi-objective economic emission scheduling using grey wolf optimizer: a strategic balance and solution with diverse load pattern", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 41 No. 1, pp. 427-454. https://doi.org/10.1108/COMPEL-01-2021-0022
Publisher
:Emerald Publishing Limited
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