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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Published in	Energy (Oxford) Vol. 244; p. 122715
Main Authors	Tang, Xiongmin, Li, Zhengshuo, Xu, Xuancong, Zeng, Zhijun, Jiang, Tianhong, Fang, Wenrui, Meng, Anbo
Format	Journal Article
Language	English
Published	Oxford Elsevier Ltd 01.04.2022 Elsevier BV
Subjects	Adaptive choice procedure of the extension coefficient Algorithms Crisscross optimization Economics Emission analysis Emissions energy Energy economics Multi-objective economic emission dispatch Optimization Pollutants Searching Test systems Thermal power Weakening equality constraint Multi-objective economic emission dispatch Crisscross optimization Adaptive choice procedure of the extension coefficient Weakening equality constraint
Online Access	Get full text
ISSN	0360-5442 1873-6785
DOI	10.1016/j.energy.2021.122715

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Abstract	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.
AbstractList	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. 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.
ArticleNumber	122715
Author	Zeng, Zhijun Tang, Xiongmin Xu, Xuancong Jiang, Tianhong Li, Zhengshuo Fang, Wenrui Meng, Anbo
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Keywords	Multi-objective economic emission dispatch Crisscross optimization Adaptive choice procedure of the extension coefficient Weakening equality constraint
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Snippet	In recent years, a novel algorithm named crisscross search optimization (CSO) algorithm has been successfully applied in the conventional energy economic...
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SubjectTerms	Adaptive choice procedure of the extension coefficient Algorithms Crisscross optimization Economics Emission analysis Emissions energy Energy economics Multi-objective economic emission dispatch Optimization Pollutants Searching Test systems Thermal power Weakening equality constraint
Title	Multi-objective economic emission dispatch based on an extended crisscross search optimization algorithm
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