A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation
Optimal short-term hydrothermal generation cooperation (OSTHTGC) is used to determine the optimal operation strategy for cascaded hydropower plants and thermal plants. In this problem, equality constraints consisting of water time delay, reservoir volume, continuity water and power balance, as well...
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| Published in | Cogent engineering Vol. 3; no. 1; p. 1266863 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Abingdon
Cogent
31.12.2016
Taylor & Francis Ltd Taylor & Francis Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2331-1916 2331-1916 |
| DOI | 10.1080/23311916.2016.1266863 |
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| Abstract | Optimal short-term hydrothermal generation cooperation (OSTHTGC) is used to determine the optimal operation strategy for cascaded hydropower plants and thermal plants. In this problem, equality constraints consisting of water time delay, reservoir volume, continuity water and power balance, as well as inequality constraints related to the limits of thermal and hydro generations are taken into account. In this paper, a Cuckoo Bird-Inspired Meta-Heuristic Algorithm (CBIA), which is advanced by using only few control parameters and high success rate, has been proposed to solve the OSTHTGC problem. The proposed method is applied for four test cases where the valve point loading effects of thermal units and the combination operation of a four-cascaded reservoir system are considered. The comparison of obtained results has revealed that that CBIA method is an efficient method with high quality solution and fast convergence speed compared to other relevant approaches. |
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| AbstractList | Optimal short-term hydrothermal generation cooperation (OSTHTGC) is used to determine the optimal operation strategy for cascaded hydropower plants and thermal plants. In this problem, equality constraints consisting of water time delay, reservoir volume, continuity water and power balance, as well as inequality constraints related to the limits of thermal and hydro generations are taken into account. In this paper, a Cuckoo Bird-Inspired Meta-Heuristic Algorithm (CBIA), which is advanced by using only few control parameters and high success rate, has been proposed to solve the OSTHTGC problem. The proposed method is applied for four test cases where the valve point loading effects of thermal units and the combination operation of a four-cascaded reservoir system are considered. The comparison of obtained results has revealed that that CBIA method is an efficient method with high quality solution and fast convergence speed compared to other relevant approaches. |
| Author | Ngoc Vo, Dieu Dinh, Bach Hoang Nguyen, Thang Trung |
| Author_xml | – sequence: 1 givenname: Thang Trung surname: Nguyen fullname: Nguyen, Thang Trung email: nguyentrungthang@tdt.edu.vn organization: Ton Duc Thang University – sequence: 2 givenname: Dieu orcidid: 0000-0002-1237-0071 surname: Ngoc Vo fullname: Ngoc Vo, Dieu organization: Ho Chi Minh City University of Technology – sequence: 3 givenname: Bach Hoang surname: Dinh fullname: Dinh, Bach Hoang organization: Ton Duc Thang University |
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| CitedBy_id | crossref_primary_10_3390_su13084277 crossref_primary_10_1016_j_energy_2022_124025 crossref_primary_10_1093_ijlct_ctac036 crossref_primary_10_1016_j_engappai_2020_103845 |
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| SubjectTerms | Algorithms Cooperation Cuckoo bird-inspired algorithm Heuristic methods Hydroelectric plants Hydroelectric power optimal hydrothermal generation cooperation Reservoirs valve point loading effect |
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| Title | A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation |
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