Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed Generators
Renewable-based distributed generation (DG) offers economic and environmental benefits, but integrating it into the distribution network (DN) poses technical challenges. Hosting capacity (HC) defines the maximum amount of DG that can be safely integrated into the DN without violating technical const...
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2025-01-01
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| author | Zenhom M. Zenhom Shady H. E. Abdel Aleem Essam Aboul Zahab Ziad M. Ali Abdulaziz Almalaq Tarek A. Boghdady |
| author_facet | Zenhom M. Zenhom Shady H. E. Abdel Aleem Essam Aboul Zahab Ziad M. Ali Abdulaziz Almalaq Tarek A. Boghdady |
| author_sort | Zenhom M. Zenhom |
| collection | DOAJ |
| description | Renewable-based distributed generation (DG) offers economic and environmental benefits, but integrating it into the distribution network (DN) poses technical challenges. Hosting capacity (HC) defines the maximum amount of DG that can be safely integrated into the DN without violating technical constraints, with various methods available to enhance the DN and increase HC. This article proposes an optimization-based demand response (DR) program using dynamic pricing to enhance the HC. A hierarchical bi-level optimization framework is developed for the DR program, where the upper level optimizes the hosting capacity depending on the optimal load profiles optimized in the lower level. Additionally, DR is combined with smart inverters’ (SIs) optimal Volt/VAR control to further improve the HC. The pelican optimization algorithm (POA) is employed to solve the optimization problem and is compared with four other optimization techniques, demonstrating its good performance. The proposed planning scheme is implemented on the IEEE 33-bus test system and a real DN consisting of 59 buses in Cairo, Egypt. The results show that applying DR alone can increase the average maximum HC value by 29.4%, while combining DR with optimal Volt/VAR control can achieve a 39.6% increase. |
| format | Article |
| id | doaj-art-4b1d211d247541d6a8d4c31dff36f85b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4b1d211d247541d6a8d4c31dff36f85b2025-01-28T00:01:26ZengIEEEIEEE Access2169-35362025-01-0113153901540910.1109/ACCESS.2025.353055710843664Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed GeneratorsZenhom M. Zenhom0https://orcid.org/0009-0007-6951-6645Shady H. E. Abdel Aleem1https://orcid.org/0000-0003-2546-6352Essam Aboul Zahab2https://orcid.org/0009-0006-8327-3638Ziad M. Ali3https://orcid.org/0000-0002-6959-9686Abdulaziz Almalaq4https://orcid.org/0000-0001-8153-4327Tarek A. Boghdady5https://orcid.org/0000-0002-8838-5384Electric Power Engineering Department, Ahram Canadian University, Giza, EgyptDepartment of Electrical Engineering, Institute of Aviation Engineering and Technology, Giza, EgyptElectric Power Engineering Department, Cairo University, Giza, EgyptElectrical Engineering Department, College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi ad-Dawasir, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Hail, Hail, Saudi ArabiaElectric Power Engineering Department, Cairo University, Giza, EgyptRenewable-based distributed generation (DG) offers economic and environmental benefits, but integrating it into the distribution network (DN) poses technical challenges. Hosting capacity (HC) defines the maximum amount of DG that can be safely integrated into the DN without violating technical constraints, with various methods available to enhance the DN and increase HC. This article proposes an optimization-based demand response (DR) program using dynamic pricing to enhance the HC. A hierarchical bi-level optimization framework is developed for the DR program, where the upper level optimizes the hosting capacity depending on the optimal load profiles optimized in the lower level. Additionally, DR is combined with smart inverters’ (SIs) optimal Volt/VAR control to further improve the HC. The pelican optimization algorithm (POA) is employed to solve the optimization problem and is compared with four other optimization techniques, demonstrating its good performance. The proposed planning scheme is implemented on the IEEE 33-bus test system and a real DN consisting of 59 buses in Cairo, Egypt. The results show that applying DR alone can increase the average maximum HC value by 29.4%, while combining DR with optimal Volt/VAR control can achieve a 39.6% increase.https://ieeexplore.ieee.org/document/10843664/Bi-level optimizationdemand responsedynamic tariffhosting capacitymetaheuristic algorithmsoptimization |
| spellingShingle | Zenhom M. Zenhom Shady H. E. Abdel Aleem Essam Aboul Zahab Ziad M. Ali Abdulaziz Almalaq Tarek A. Boghdady Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed Generators IEEE Access Bi-level optimization demand response dynamic tariff hosting capacity metaheuristic algorithms optimization |
| title | Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed Generators |
| title_full | Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed Generators |
| title_fullStr | Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed Generators |
| title_full_unstemmed | Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed Generators |
| title_short | Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed Generators |
| title_sort | synergistic hierarchical bi level optimization of demand response programs and smart inverter volt var control for maximizing hosting capacity of power systems with renewable based distributed generators |
| topic | Bi-level optimization demand response dynamic tariff hosting capacity metaheuristic algorithms optimization |
| url | https://ieeexplore.ieee.org/document/10843664/ |
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