Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program
Abstract To improve the inadequate reliability of the grid that has led to a worsening energy crisis and environmental issues, comprehensive research on new clean renewable energy and efficient, cost-effective, and eco-friendly energy management technologies is essential. This requires the creation...
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Nature Portfolio
2025-01-01
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| Online Access: | https://doi.org/10.1038/s41598-024-83284-9 |
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| author | Mohamed R. Elshenawy Abdalla Mohamed A. A. Ali Magdi A. Mosa |
| author_facet | Mohamed R. Elshenawy Abdalla Mohamed A. A. Ali Magdi A. Mosa |
| author_sort | Mohamed R. Elshenawy |
| collection | DOAJ |
| description | Abstract To improve the inadequate reliability of the grid that has led to a worsening energy crisis and environmental issues, comprehensive research on new clean renewable energy and efficient, cost-effective, and eco-friendly energy management technologies is essential. This requires the creation of advanced energy management systems to enhance system reliability and optimize efficiency. Demand-side energy management systems are a superior solution for multiple reasons. Firstly, they empower consumers to actively oversee and regulate their energy consumption, resulting in substantial cost savings by minimizing usage during peak hours and enhancing overall efficiency. The Demand Response Program (DRP) and optimal power sharing have gained significant attention to provide technical and economic benefits, while they require an efficient operation framework. Therefore, a two-stage framework is proposed for multi-objective operation of a distribution network with several generation resources. The first stage applies DRP to maximize the distribution network operator’s (DNO) profit by optimizing common incentive rate for all consumers participate in DRP and an individual curtailed power for each consumer. In addition to an individual incentive rate for each consumer participates in DRP which is a new solution in the field of demand side management. The second stage achieves optimal power sharing among generation resources, while considering multiple objectives and incorporating the modified load of the first stage. The multi-objective problem is formulated to reduce energy losses, voltage deviation, total operational cost, gas emissions, and maximize the voltage stability index. The problem is optimized using a combination of the technique for order of preference by similarity to ideal solution (TOPSIS) and the elephant herding optimization (EHO) technique. The framework is validated using a modified IEEE 33-bus that incorporates photovoltaic system, diesel generators, and wind generation system. The proposed framework based on an individual incentive rate DRP provides superior response compared to common incentive rate DRP which reduces the total energy losses by 38.13%, reduces the total generation cost by 9.468%, and reduces the emission by 5.9%. |
| format | Article |
| id | doaj-art-5538e25d45ae4de4862c85f7626ac9c2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-5538e25d45ae4de4862c85f7626ac9c22025-01-12T12:22:31ZengNature PortfolioScientific Reports2045-23222025-01-0115112910.1038/s41598-024-83284-9Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response programMohamed R. Elshenawy0Abdalla Mohamed1A. A. Ali2Magdi A. Mosa3Electrical Power and Machines Engineering Department, Faculty of Engineering, Helwan UniversityElectrical Power and Machines Engineering Department, Faculty of Engineering, Helwan UniversityElectrical Power and Machines Engineering Department, Faculty of Engineering, Helwan UniversityElectrical Power and Machines Engineering Department, Faculty of Engineering, Helwan UniversityAbstract To improve the inadequate reliability of the grid that has led to a worsening energy crisis and environmental issues, comprehensive research on new clean renewable energy and efficient, cost-effective, and eco-friendly energy management technologies is essential. This requires the creation of advanced energy management systems to enhance system reliability and optimize efficiency. Demand-side energy management systems are a superior solution for multiple reasons. Firstly, they empower consumers to actively oversee and regulate their energy consumption, resulting in substantial cost savings by minimizing usage during peak hours and enhancing overall efficiency. The Demand Response Program (DRP) and optimal power sharing have gained significant attention to provide technical and economic benefits, while they require an efficient operation framework. Therefore, a two-stage framework is proposed for multi-objective operation of a distribution network with several generation resources. The first stage applies DRP to maximize the distribution network operator’s (DNO) profit by optimizing common incentive rate for all consumers participate in DRP and an individual curtailed power for each consumer. In addition to an individual incentive rate for each consumer participates in DRP which is a new solution in the field of demand side management. The second stage achieves optimal power sharing among generation resources, while considering multiple objectives and incorporating the modified load of the first stage. The multi-objective problem is formulated to reduce energy losses, voltage deviation, total operational cost, gas emissions, and maximize the voltage stability index. The problem is optimized using a combination of the technique for order of preference by similarity to ideal solution (TOPSIS) and the elephant herding optimization (EHO) technique. The framework is validated using a modified IEEE 33-bus that incorporates photovoltaic system, diesel generators, and wind generation system. The proposed framework based on an individual incentive rate DRP provides superior response compared to common incentive rate DRP which reduces the total energy losses by 38.13%, reduces the total generation cost by 9.468%, and reduces the emission by 5.9%.https://doi.org/10.1038/s41598-024-83284-9Demand response program (DRP)Energy management (EM)Incentive rateTechnique for order of preference by similarity to ideal solution (TOPSIS)Elephant herding optimization (EHO)Distribution network operator (DNO) |
| spellingShingle | Mohamed R. Elshenawy Abdalla Mohamed A. A. Ali Magdi A. Mosa Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program Scientific Reports Demand response program (DRP) Energy management (EM) Incentive rate Technique for order of preference by similarity to ideal solution (TOPSIS) Elephant herding optimization (EHO) Distribution network operator (DNO) |
| title | Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program |
| title_full | Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program |
| title_fullStr | Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program |
| title_full_unstemmed | Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program |
| title_short | Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program |
| title_sort | two stage multi objective framework for optimal operation of modern distribution network considering demand response program |
| topic | Demand response program (DRP) Energy management (EM) Incentive rate Technique for order of preference by similarity to ideal solution (TOPSIS) Elephant herding optimization (EHO) Distribution network operator (DNO) |
| url | https://doi.org/10.1038/s41598-024-83284-9 |
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