A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch
Dynamic Economic Emission Dispatch (DEED) problems present a critical multi-objective optimization challenge in power systems, requiring simultaneous minimization of conflicting objectives of costs and emissions while addressing complex operational constraints. This problem becomes particularly intr...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525002625 |
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| author | Shuqu Qian Huihui He Huihong Wu Philippe Fournier-Viger Hui Li Shoude Huang |
| author_facet | Shuqu Qian Huihui He Huihong Wu Philippe Fournier-Viger Hui Li Shoude Huang |
| author_sort | Shuqu Qian |
| collection | DOAJ |
| description | Dynamic Economic Emission Dispatch (DEED) problems present a critical multi-objective optimization challenge in power systems, requiring simultaneous minimization of conflicting objectives of costs and emissions while addressing complex operational constraints. This problem becomes particularly intricate when considering the Valve-Point Effect Cost (VPEC) in generation units, which exhibits non-smooth, non-convex characteristics that significantly complicate solution landscapes. To address these challenges, this paper proposes a Hybrid Constrained Multi-Objective Algorithm (HCMOA) incorporating three innovative mechanisms. First, a clonal selection mechanism enhances local exploitation through systematic generation of high-quality non-dominated solutions. Second, a most-crowded neighborhood update strategy combats premature convergence in high-dimensional DEED scenarios while optimizing archive diversity and computational efficiency. Third, a step-by-step repair strategy ensures operational feasibility through systematic output refinement. Comprehensive evaluations on 10-unit and 15-unit systems with varying VPEC configurations demonstrate HCMOA’s superiority over ten state-of-the-art algorithms. Experimental results reveal that HCMOA achieves the Pareto-optimal set with superior spread and distribution uniformity compared to existing approaches. These findings collectively establish HCMOA as an effective solution for practical DEED implementations, particularly in scenarios requiring rigorous consideration of non-convex VPEC characteristics. |
| format | Article |
| id | doaj-art-fa40f1e5cf054c26b3df97edd891cee4 |
| institution | OA Journals |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-fa40f1e5cf054c26b3df97edd891cee42025-08-20T02:07:58ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-08-0116911071110.1016/j.ijepes.2025.110711A hybrid constrained multi-objective algorithm for dynamic economic emission dispatchShuqu Qian0Huihui He1Huihong Wu2Philippe Fournier-Viger3Hui Li4Shoude Huang5Anshun University, Anshun, China; Corresponding author.No. 1 Middle School of Kaiyang County, Kaiyang, ChinaAnshun University, Anshun, ChinaShenzhen University, Shenzhen, ChinaAnshun University, Anshun, ChinaAnshun University, Anshun, ChinaDynamic Economic Emission Dispatch (DEED) problems present a critical multi-objective optimization challenge in power systems, requiring simultaneous minimization of conflicting objectives of costs and emissions while addressing complex operational constraints. This problem becomes particularly intricate when considering the Valve-Point Effect Cost (VPEC) in generation units, which exhibits non-smooth, non-convex characteristics that significantly complicate solution landscapes. To address these challenges, this paper proposes a Hybrid Constrained Multi-Objective Algorithm (HCMOA) incorporating three innovative mechanisms. First, a clonal selection mechanism enhances local exploitation through systematic generation of high-quality non-dominated solutions. Second, a most-crowded neighborhood update strategy combats premature convergence in high-dimensional DEED scenarios while optimizing archive diversity and computational efficiency. Third, a step-by-step repair strategy ensures operational feasibility through systematic output refinement. Comprehensive evaluations on 10-unit and 15-unit systems with varying VPEC configurations demonstrate HCMOA’s superiority over ten state-of-the-art algorithms. Experimental results reveal that HCMOA achieves the Pareto-optimal set with superior spread and distribution uniformity compared to existing approaches. These findings collectively establish HCMOA as an effective solution for practical DEED implementations, particularly in scenarios requiring rigorous consideration of non-convex VPEC characteristics.http://www.sciencedirect.com/science/article/pii/S0142061525002625Dynamic Economic Emission DispatchConstrained multi-objective optimizationClonal Selection PrincipleMost-crowded neighborhoodStep-by-step repair |
| spellingShingle | Shuqu Qian Huihui He Huihong Wu Philippe Fournier-Viger Hui Li Shoude Huang A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch International Journal of Electrical Power & Energy Systems Dynamic Economic Emission Dispatch Constrained multi-objective optimization Clonal Selection Principle Most-crowded neighborhood Step-by-step repair |
| title | A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch |
| title_full | A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch |
| title_fullStr | A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch |
| title_full_unstemmed | A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch |
| title_short | A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch |
| title_sort | hybrid constrained multi objective algorithm for dynamic economic emission dispatch |
| topic | Dynamic Economic Emission Dispatch Constrained multi-objective optimization Clonal Selection Principle Most-crowded neighborhood Step-by-step repair |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525002625 |
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