Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques
A very critical and integral part of the power system is the distribution networks. The final component of the power system, including transmission systems or consumers, is the distribution system (DS). This leads to the highest energy loss that happens. So improving the performance of distribution...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Ain Shams Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447922000971 |
| _version_ | 1811296038868221952 |
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| author | Omima M Bakry Abdullah Alhabeeb Mahrous Ahmed Salem Alkhalaf Tomonobu Senjyu Paras Mandal Mostafa Dardeer |
| author_facet | Omima M Bakry Abdullah Alhabeeb Mahrous Ahmed Salem Alkhalaf Tomonobu Senjyu Paras Mandal Mostafa Dardeer |
| author_sort | Omima M Bakry |
| collection | DOAJ |
| description | A very critical and integral part of the power system is the distribution networks. The final component of the power system, including transmission systems or consumers, is the distribution system (DS). This leads to the highest energy loss that happens. So improving the performance of distribution networks is required not only to provide the reliability of power supply but also to achieve the most economic cost. By optimizing the power flow and simultaneously minimizing the total emission cost and generation cost and taking into account the power losses, these objectives can be achieved. In recent years, heuristic methods are widely employed for solving such complex problems, and The main modern optimization techniques are genetic algorithm(GA). The most important issue in Evolutionary Algorithms is exploration vs. exploitation. Maybe GA is restricted for exploration features, what causes slow convergence and poor robustness Therefore, using the hybridization strategy, the main reason behind this is that such a hybrid approach is expected to create swape between the exploration and exploitation. This work presents performance improvement of a radial distribution networks using a new hybrid optimization technique of Genetic Algorithms (GA) with Equilibrium optimizer (EO) algorithm called Hybrid Genetic Algorithm Equilibrium optimizer (GAEO). It is used for optimum location and size of Renewable Energy Sources (wind energy, photovoltaic, fuel cell) on distribution systems. DG source locations and capacity have strongly influenced the improvement of the distribution network performance by reducing the entire system's power loss, enhancing the voltage profile, reducing fuel costs and emissions of contaminants. |
| first_indexed | 2024-04-13T05:42:31Z |
| format | Article |
| id | doaj.art-c04c1b9dac444b1a8ee70135d8ecc616 |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-04-13T05:42:31Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-c04c1b9dac444b1a8ee70135d8ecc6162022-12-22T03:00:03ZengElsevierAin Shams Engineering Journal2090-44792022-11-01136101786Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniquesOmima M Bakry0Abdullah Alhabeeb1Mahrous Ahmed2Salem Alkhalaf3Tomonobu Senjyu4Paras Mandal5Mostafa Dardeer6Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, EgyptDepartment of Information Science, College of Arts, King Saud University, Riyadh, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Computer Science, Alrass College of Science and Arts, Qassim University, Qassim, Saudi ArabiaDepartment of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, JapanDepartment of Electrical and Computer Engineering, University of Texas at El Paso, El Paso, TX 79968, USADepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, EgyptA very critical and integral part of the power system is the distribution networks. The final component of the power system, including transmission systems or consumers, is the distribution system (DS). This leads to the highest energy loss that happens. So improving the performance of distribution networks is required not only to provide the reliability of power supply but also to achieve the most economic cost. By optimizing the power flow and simultaneously minimizing the total emission cost and generation cost and taking into account the power losses, these objectives can be achieved. In recent years, heuristic methods are widely employed for solving such complex problems, and The main modern optimization techniques are genetic algorithm(GA). The most important issue in Evolutionary Algorithms is exploration vs. exploitation. Maybe GA is restricted for exploration features, what causes slow convergence and poor robustness Therefore, using the hybridization strategy, the main reason behind this is that such a hybrid approach is expected to create swape between the exploration and exploitation. This work presents performance improvement of a radial distribution networks using a new hybrid optimization technique of Genetic Algorithms (GA) with Equilibrium optimizer (EO) algorithm called Hybrid Genetic Algorithm Equilibrium optimizer (GAEO). It is used for optimum location and size of Renewable Energy Sources (wind energy, photovoltaic, fuel cell) on distribution systems. DG source locations and capacity have strongly influenced the improvement of the distribution network performance by reducing the entire system's power loss, enhancing the voltage profile, reducing fuel costs and emissions of contaminants.http://www.sciencedirect.com/science/article/pii/S2090447922000971Distribution networksGenetic AlgorithmsEquilibrium optimizerRenewable Energy SourcesPower loss minimizationPollutant emissions |
| spellingShingle | Omima M Bakry Abdullah Alhabeeb Mahrous Ahmed Salem Alkhalaf Tomonobu Senjyu Paras Mandal Mostafa Dardeer Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques Ain Shams Engineering Journal Distribution networks Genetic Algorithms Equilibrium optimizer Renewable Energy Sources Power loss minimization Pollutant emissions |
| title | Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques |
| title_full | Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques |
| title_fullStr | Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques |
| title_full_unstemmed | Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques |
| title_short | Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques |
| title_sort | improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques |
| topic | Distribution networks Genetic Algorithms Equilibrium optimizer Renewable Energy Sources Power loss minimization Pollutant emissions |
| url | http://www.sciencedirect.com/science/article/pii/S2090447922000971 |
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