Multi-objective economic emission dispatch based on an extended crisscross search optimization algorithm

In recent years, a novel algorithm named crisscross search optimization (CSO) algorithm has been successfully applied in the conventional energy economic emission dispatch (EED) problems of pure thermal power system (PTPS) and hydrothermal generation system (HTGS). However, there still have some pro...

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Bibliographic Details
Published in:Energy (Oxford) 2022-04, Vol.244, p.122715, Article 122715
Main Authors: Tang, Xiongmin, Li, Zhengshuo, Xu, Xuancong, Zeng, Zhijun, Jiang, Tianhong, Fang, Wenrui, Meng, Anbo
Format: Article
Language:English
Subjects:
Adaptive choice procedure of the extension coefficient
Air pollution
Algorithms
Crisscross optimization
Economics
Emission analysis
Energy economics
Multi-objective economic emission dispatch
Optimization
Pollutants
Searching
Test systems
Thermal power
Weakening equality constraint
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Summary:In recent years, a novel algorithm named crisscross search optimization (CSO) algorithm has been successfully applied in the conventional energy economic emission dispatch (EED) problems of pure thermal power system (PTPS) and hydrothermal generation system (HTGS). However, there still have some problems, such as slow convergence speed and low stability. To address these issues, an extended crisscross search optimization (ECSO) algorithm is proposed in this paper. The performances of the CSO algorithm are improved by an adaptive choice procedure of the extension coefficient. And a weakening equality constraint method is used in the MOEED problems for ECSO. To test the performance of the proposed algorithm, the IEEE-30 bus System (Test System-Ⅰ), the 40 generators System (Test System-Ⅱ) and the hydrothermal generation system (HTGS) (Test System-Ⅲ) are adopted. Experimental results show that the cost of economic operation and the pollutant emission with the proposed ECSO are minimum in these test systems. Further, the simulation and comparison results show the robustness of the ECSO is superior to the CSO and the other algorithms. •A novel extended CSO algorithm is proposed to address the MOEEDP.•The automatic selection strategy is proposed to enhance CSO's self-adaptability.•The weakening method for the equality constraint is applied to the MOEEDP.•The proposed approach outperforms the CSO and other state-of-the-art algorithms.
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2021.122715