Optimal power scheduling of thermal units considering emission constraint for GENCOs’ profit maximization |
| |
| Affiliation: | 1. Dept. of Electrical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran;2. Faculty of Engineering, Islamic Azad University of Lahijan Branch, Lahijan, Iran;1. Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang 212013, Jiangsu, China;2. Key Laboratory of Measurement and Control for Complex System of Ministry of Education, Research Institute of Automation, Southeast University, Nanjing 210096, Jiangsu, China;1. Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran;2. Centre of Excellence for Power System Automation and Operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran;3. Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran;1. Department of Electrical Engineering, National Taipei University of Technology, No. 1, Sec. 3, Chung-Hsiao E. Road, Taiper City 10608, Taiwan;2. Department of Electrical Engineering, Chung Yuan Christian University, No. 200, Chung-Pei Road, Chung-Li City 32023, Taiwan;1. Electrical Engineering Dept., Faculty of Engineering, Fayoum University, Fayoum, Egypt;2. Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga National, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor, Malaysia |
| |
| Abstract: | In this paper, authors propose a novel method to determine an optimal solution for profit based unit commitment (PBUC) problem considering emission constraint, under a deregulated environment. In a restructured power system, generation companies (GENCOs) schedule their units with the aim of maximizing their own profit by relaxing demand fulfillment constraints without any regard to social benefits. In the new structure, due to strict reflection of power price in market data, this factor should be considered as an important ingredient in decision-making process. In this paper a social-political based optimization algorithm called imperialist competitive algorithm (ICA) in combination with a novel meta-heuristic constraint handling technique is proposed. This method utilizes operation features of PBUC problem and a penalty factor approach to solve an emission constrained PBUC problem in order to maximize GENCOs profit. Effectiveness of presented method for solving non-convex optimization problem of thermal generators scheduling in a day-ahead deregulated electricity market is validated using several test systems consisting 10, 40 and 100 generation units. |
| |
| Keywords: | Power market Imperialist competitive algorithm Price based unit commitment Emission constraint |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
