Reducing fuel cost and enhancing the resource utilization rate in energy economic load dispatch problem

Chen, C., Qu, L., Tseng, M.-L., Li, L., Chen, C.-C. and Lim, M. K. (2022) Reducing fuel cost and enhancing the resource utilization rate in energy economic load dispatch problem. Journal of Cleaner Production, 364, 132709. (doi: 10.1016/j.jclepro.2022.132709)

Abstract

This study contributes for solving the economic load dispatch (ELD) problem to reduce the energy waste caused by thermal generation units and promotes cleaner and sustainable production in the power industry. Electricity is produced by thermal power plants; however, thermal power generation involves low economic benefits and high pollution levels, which hinders cleaner and sustainable production in the power industry. An improved manta ray foraging optimization (IMRFO) algorithm is developed for solving the ELD problem and realizing the cleaner and economic goal of the thermal units. The characteristics of the novel method present that: (1) Sine and cosine adaptations were introduced in the manta ray foraging optimization algorithm to enhance its adaptive ability; (2) a nonlinear convergence factor was presented to enhance the convergence speed; and (3) a differential evolution algorithm was introduced in the original algorithm to enhance robustness. Three typical ELD test systems were selected to prove the feasibility of the IMRFO-based solution method. The results indicated that IMRFO algorithm obtained the most competitive scheduling strategy compared with the existing methods. Improving the economy of power system operation is beneficial to realize cleaner and sustainable power production.

• Item Type: Articles
• Additional Information: This study was supported by the key project of Tianjin Natural Science Foundation [Project No. 19JCZDJC32100] and the Natural Science Foundation of Hebei Province of China [Project No. E2018202282].
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lim, Professor Ming

Creator Roles

Lim, M.: Conceptualization, Writing – original draft, Writing – review and editing

• Authors: Chen, C., Qu, L., Tseng, M.-L., Li, L., Chen, C.-C., and Lim, M. K.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Journal of Cleaner Production
• Publisher: Elsevier
• ISSN: 0959-6526
• ISSN (Online): 1879-1786
• Published Online: 16 June 2022
• Copyright Holders: Copyright © 2022 Elsevier Ltd
• First Published: First published in Journal of Cleaner Production 364:132709
• Publisher Policy: Reproduced in accordance with the publisher copyright policy