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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Format: | Article |
Language: | English |
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Taylor & Francis Group
2016-12-01
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Series: | Cogent Engineering |
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Online Access: | http://dx.doi.org/10.1080/23311916.2016.1266863 |
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author | Thang Trung Nguyen Dieu Ngoc Vo Bach Hoang Dinh |
author_facet | Thang Trung Nguyen Dieu Ngoc Vo Bach Hoang Dinh |
author_sort | Thang Trung Nguyen |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-12T07:56:15Z |
format | Article |
id | doaj.art-d5c1c74d70014441916775b429a50af1 |
institution | Directory Open Access Journal |
issn | 2331-1916 |
language | English |
last_indexed | 2024-03-12T07:56:15Z |
publishDate | 2016-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Cogent Engineering |
spelling | doaj.art-d5c1c74d70014441916775b429a50af12023-09-02T20:15:35ZengTaylor & Francis GroupCogent Engineering2331-19162016-12-013110.1080/23311916.2016.12668631266863A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperationThang Trung Nguyen0Dieu Ngoc Vo1Bach Hoang Dinh2Ton Duc Thang UniversityHo Chi Minh City University of TechnologyTon Duc Thang UniversityOptimal 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.http://dx.doi.org/10.1080/23311916.2016.1266863cuckoo bird-inspired algorithmoptimal hydrothermal generation cooperationvalve point loading effect |
spellingShingle | Thang Trung Nguyen Dieu Ngoc Vo Bach Hoang Dinh A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation Cogent Engineering cuckoo bird-inspired algorithm optimal hydrothermal generation cooperation valve point loading effect |
title | A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation |
title_full | A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation |
title_fullStr | A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation |
title_full_unstemmed | A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation |
title_short | A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation |
title_sort | cuckoo bird inspired meta heuristic algorithm for optimal short term hydrothermal generation cooperation |
topic | cuckoo bird-inspired algorithm optimal hydrothermal generation cooperation valve point loading effect |
url | http://dx.doi.org/10.1080/23311916.2016.1266863 |
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