Optimal power scheduling of thermal units considering emission constraint for GENCOs’ profit maximization
| Autor: | Alfred Baghramian, M. Hosseini Imani, A. Itami Karin, M. Jabbari Ghadi |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Energy Optimization problem Computer science 020209 energy Profit maximization 020208 electrical & electronic engineering Energy Engineering and Power Technology Imperialist competitive algorithm 02 engineering and technology Profit (economics) Electric power system Power system simulation Market data 0202 electrical engineering electronic engineering information engineering Electricity market Electrical and Electronic Engineering |
| Zdroj: | International Journal of Electrical Power & Energy Systems. 82:124-135 |
| ISSN: | 0142-0615 |
| DOI: | 10.1016/j.ijepes.2016.03.011 |
| Popis: | © 2016 Elsevier Ltd. All rights reserved. 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. |
| Databáze: | OpenAIRE |
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