Metaheuristic Approaches for Hydropower System Scheduling
This paper deals with the short-term scheduling problem of hydropower systems. The objective is to meet the daily energy demand in an economic and safe way. The individuality of the generating units and the nonlinearity of their efficiency curves are taken into account. The mathematical model is for...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2015/701851 |
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| author | Ieda G. Hidalgo Regiane S. de Barros Jéssica P. T. Fernandes João Paulo F. Estrócio Paulo B. Correia |
| author_facet | Ieda G. Hidalgo Regiane S. de Barros Jéssica P. T. Fernandes João Paulo F. Estrócio Paulo B. Correia |
| author_sort | Ieda G. Hidalgo |
| collection | DOAJ |
| description | This paper deals with the short-term scheduling problem of hydropower systems. The objective is to meet the daily energy demand in an economic and safe way. The individuality of the generating units and the nonlinearity of their efficiency curves are taken into account. The mathematical model is formulated as a dynamic, mixed integer, nonlinear, nonconvex, combinatorial, and multiobjective optimization problem. We propose two solution methods using metaheuristic approaches. They combine Genetic Algorithm with Strength Pareto Evolutionary Algorithm and Ant Colony Optimization. Both approaches are divided into two phases. In the first one, to maximize the plant’s net generation, the problem is solved for each hour of the day (static dispatch). In the second phase, to minimize the units’ switching on-off, the day is considered as a whole (dynamic dispatch). The proposed methodology is applied to two Brazilian hydroelectric plants, in cascade, that belong to the national interconnected system. The nondominated solutions from both approaches are presented. All of them meet demand respecting the physical, electrical, and hydraulic constraints. |
| format | Article |
| id | doaj-art-908004b2891b413299acb5ccf48ee466 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-908004b2891b413299acb5ccf48ee4662025-02-03T05:45:22ZengWileyJournal of Applied Mathematics1110-757X1687-00422015-01-01201510.1155/2015/701851701851Metaheuristic Approaches for Hydropower System SchedulingIeda G. Hidalgo0Regiane S. de Barros1Jéssica P. T. Fernandes2João Paulo F. Estrócio3Paulo B. Correia4Faculty of Technology, State University of Campinas (Unicamp), 13.484-332 Limeira, SP, BrazilFaculty of Mechanical Engineering, State University of Campinas (Unicamp), 13.083-860 Campinas, SP, BrazilFaculty of Mechanical Engineering, State University of Campinas (Unicamp), 13.083-860 Campinas, SP, BrazilCia Energética de São Paulo (CESP), 04.447-011 São Paulo, SP, BrazilFaculty of Mechanical Engineering, State University of Campinas (Unicamp), 13.083-860 Campinas, SP, BrazilThis paper deals with the short-term scheduling problem of hydropower systems. The objective is to meet the daily energy demand in an economic and safe way. The individuality of the generating units and the nonlinearity of their efficiency curves are taken into account. The mathematical model is formulated as a dynamic, mixed integer, nonlinear, nonconvex, combinatorial, and multiobjective optimization problem. We propose two solution methods using metaheuristic approaches. They combine Genetic Algorithm with Strength Pareto Evolutionary Algorithm and Ant Colony Optimization. Both approaches are divided into two phases. In the first one, to maximize the plant’s net generation, the problem is solved for each hour of the day (static dispatch). In the second phase, to minimize the units’ switching on-off, the day is considered as a whole (dynamic dispatch). The proposed methodology is applied to two Brazilian hydroelectric plants, in cascade, that belong to the national interconnected system. The nondominated solutions from both approaches are presented. All of them meet demand respecting the physical, electrical, and hydraulic constraints.http://dx.doi.org/10.1155/2015/701851 |
| spellingShingle | Ieda G. Hidalgo Regiane S. de Barros Jéssica P. T. Fernandes João Paulo F. Estrócio Paulo B. Correia Metaheuristic Approaches for Hydropower System Scheduling Journal of Applied Mathematics |
| title | Metaheuristic Approaches for Hydropower System Scheduling |
| title_full | Metaheuristic Approaches for Hydropower System Scheduling |
| title_fullStr | Metaheuristic Approaches for Hydropower System Scheduling |
| title_full_unstemmed | Metaheuristic Approaches for Hydropower System Scheduling |
| title_short | Metaheuristic Approaches for Hydropower System Scheduling |
| title_sort | metaheuristic approaches for hydropower system scheduling |
| url | http://dx.doi.org/10.1155/2015/701851 |
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