Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm
The aim of this manuscript is to introduce solutions to optimize economic dispatch of loads and combined emissions (CEED) in thermal generators. We use metaheuristics, such as particle swarm optimization (PSO), ant lion optimization (ALO), dragonfly algorithm (DA), and differential evolution (DE), w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/9/3253 |
| _version_ | 1797504958448271360 |
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| author | Eliton Smith dos Santos Marcus Vinícius Alves Nunes Manoel Henrique Reis Nascimento Jandecy Cabral Leite |
| author_facet | Eliton Smith dos Santos Marcus Vinícius Alves Nunes Manoel Henrique Reis Nascimento Jandecy Cabral Leite |
| author_sort | Eliton Smith dos Santos |
| collection | DOAJ |
| description | The aim of this manuscript is to introduce solutions to optimize economic dispatch of loads and combined emissions (CEED) in thermal generators. We use metaheuristics, such as particle swarm optimization (PSO), ant lion optimization (ALO), dragonfly algorithm (DA), and differential evolution (DE), which are normally used for comparative simulations, and evaluation of CEED optimization, generated in MATLAB. For this study, we used a hybrid model composed of six (06) thermal units and thirteen (13) photovoltaic solar plants (PSP), considering emissions of contaminants into the air and the reduction in the total cost of combustibles. The implementation of a new method that identifies and turns off the least efficient thermal generators allows metaheuristic techniques to determine the value of the optimal power of the other generators, thereby reducing the level of pollutants in the atmosphere. The results are presented in comparative charts of the methods, where the power, emissions, and costs of the thermal plants are analyzed. Finally, the comparative results of the methods were analyzed to characterize the efficiency of the proposed algorithm. |
| first_indexed | 2024-03-10T04:11:49Z |
| format | Article |
| id | doaj.art-1d698818c6c94bc7ae19cd3d2f8d55a0 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:11:49Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-1d698818c6c94bc7ae19cd3d2f8d55a02023-11-23T08:08:41ZengMDPI AGEnergies1996-10732022-04-01159325310.3390/en15093253Rational Application of Electric Power Production Optimization through Metaheuristics AlgorithmEliton Smith dos Santos0Marcus Vinícius Alves Nunes1Manoel Henrique Reis Nascimento2Jandecy Cabral Leite3Post-Graduate Program in Electrical Engineering, Federal University of Para—UFPA, Belem 66075-110, PA, BrazilPost-Graduate Program in Electrical Engineering, Federal University of Para—UFPA, Belem 66075-110, PA, BrazilResearch Department, Institute of Technology and Education Galileo of the Amazon—ITEGAM, Manaus 69020-030, AM, BrazilResearch Department, Institute of Technology and Education Galileo of the Amazon—ITEGAM, Manaus 69020-030, AM, BrazilThe aim of this manuscript is to introduce solutions to optimize economic dispatch of loads and combined emissions (CEED) in thermal generators. We use metaheuristics, such as particle swarm optimization (PSO), ant lion optimization (ALO), dragonfly algorithm (DA), and differential evolution (DE), which are normally used for comparative simulations, and evaluation of CEED optimization, generated in MATLAB. For this study, we used a hybrid model composed of six (06) thermal units and thirteen (13) photovoltaic solar plants (PSP), considering emissions of contaminants into the air and the reduction in the total cost of combustibles. The implementation of a new method that identifies and turns off the least efficient thermal generators allows metaheuristic techniques to determine the value of the optimal power of the other generators, thereby reducing the level of pollutants in the atmosphere. The results are presented in comparative charts of the methods, where the power, emissions, and costs of the thermal plants are analyzed. Finally, the comparative results of the methods were analyzed to characterize the efficiency of the proposed algorithm.https://www.mdpi.com/1996-1073/15/9/3253economic dispatch and combined emissionsthermal unitphotovoltaic solar generationmetaheuristicsoptimization |
| spellingShingle | Eliton Smith dos Santos Marcus Vinícius Alves Nunes Manoel Henrique Reis Nascimento Jandecy Cabral Leite Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm Energies economic dispatch and combined emissions thermal unit photovoltaic solar generation metaheuristics optimization |
| title | Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm |
| title_full | Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm |
| title_fullStr | Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm |
| title_full_unstemmed | Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm |
| title_short | Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm |
| title_sort | rational application of electric power production optimization through metaheuristics algorithm |
| topic | economic dispatch and combined emissions thermal unit photovoltaic solar generation metaheuristics optimization |
| url | https://www.mdpi.com/1996-1073/15/9/3253 |
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