A hybrid static economic dispatch optimization model with wind energy: Improved pathfinder optimization model

Qu, L.-N., Ji, B.-X., Lim, M. K. , Shen, Q., Li, L.-L. and Tseng, M.-L. (2023) A hybrid static economic dispatch optimization model with wind energy: Improved pathfinder optimization model. Energy Reports, 10, pp. 3711-3723. (doi: 10.1016/j.egyr.2023.10.033)

Abstract

This study proposes a hybrid static economic dispatch (HSED) model that incorporates multiple constraints specific to power systems to enhance the economic efficiency of power dispatch following the integration of wind energy. Wind energy integration in power systems can effectively reduce operational costs and energy consumption. However, the significant influx of renewable energy sources can introduce system instability and complicate power dispatch procedures. An improved pathfinder algorithm (IPFA) is proposed to address the cost minimization problem associated with power dispatch involving wind energy. The HSED model contains constraints related to wind energy penetration rate, operating area limitations, and slope rate, thereby ensuring its applicability in real-world power dispatch scenarios. The IPFA incorporates three measures such as Kent mapping initialization, nonlinear adaptation factor, and following correction strategy. The result indicates that the IPFA achieves a reduction of up to 95.86($/h) and 606.24($/h) in operating costs compared to alternative methods when wind energy is not considered. The IPFA reduces operating costs by up to 9.3% and 7.5% compared to scenarios without wind energy when wind energy is integrated. The proposed model and method contribute to enhance renewable energy utilization while simultaneously ensuring the power system economic feasibility and stability.

• Item Type: Articles
• Keywords: Hybrid static economic dispatch, wind energy, improved pathfinder algorithm, permeability limit.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lim, Professor Ming

Creator Roles

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

• Authors: Qu, L.-N., Ji, B.-X., Lim, M. K., Shen, Q., Li, L.-L., and Tseng, M.-L.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Energy Reports
• Publisher: Elsevier
• ISSN: 2352-4847
• ISSN (Online): 2352-4847
• Published Online: 18 October 2023
• Copyright Holders: Copyright: © 2023 The Author(s)
• First Published: First published in Energy Reports 10:3711-3723
• Publisher Policy: Reproduced under a Creative Commons licence