Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters
This article presents a coordinated planning strategy for renewable energy sources (RESs) and energy storage systems (ESSs) in unbalanced microgrids. The approach aims to mitigate voltage unbalance, reduce power losses, alleviate feeder congestion, and maximize the hosting capacity (HC) of RESs in g...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10850903/ |
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| author | Hossam H. H. Mousa Karar Mahmoud Matti Lehtonen |
| author_facet | Hossam H. H. Mousa Karar Mahmoud Matti Lehtonen |
| author_sort | Hossam H. H. Mousa |
| collection | DOAJ |
| description | This article presents a coordinated planning strategy for renewable energy sources (RESs) and energy storage systems (ESSs) in unbalanced microgrids. The approach aims to mitigate voltage unbalance, reduce power losses, alleviate feeder congestion, and maximize the hosting capacity (HC) of RESs in grid-connected unbalanced microgrids. By employing smart inverter control for photovoltaic (PV) and ESS inverters, the strategy enhances the integration of additional RESs while minimizing power exchange between operational zones and the utility grid (UG). To achieve such an ambitious goal, smart inverter control functions are employed, including combined mode, volt-var (VV), volt-watt (VW) for Photovoltaic (PV) inverters, and VW for ESS inverters. The IEEE 123-bus test system, divided into six operational zones, is used as a case study, incorporating plug-in electric vehicle (PEV) demand and wind-based distributed generation (DG). A metaheuristic algorithm is developed for optimal DG and ESS deployment using MATLAB and OpenDSS. The results demonstrate significant improvements, including a 16% reduction in feeder congestion, a 150% increase in PV penetration, a 13% reduction in power losses, and decreased reliance on the UG, ensuring enhanced power quality and system reliability. |
| format | Article |
| id | doaj-art-e48c012b874449dd8482439332b7b7fa |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-e48c012b874449dd8482439332b7b7fa2025-01-31T00:00:39ZengIEEEIEEE Access2169-35362025-01-0113171611718110.1109/ACCESS.2025.353304310850903Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart InvertersHossam H. H. Mousa0https://orcid.org/0000-0003-4753-2998Karar Mahmoud1https://orcid.org/0000-0002-6729-6809Matti Lehtonen2https://orcid.org/0000-0002-9979-7333Department of Electrical Engineering and Automation, Aalto University, Espoo, FinlandDepartment of Electrical Engineering, Aswan University, Aswan, EgyptDepartment of Electrical Engineering and Automation, Aalto University, Espoo, FinlandThis article presents a coordinated planning strategy for renewable energy sources (RESs) and energy storage systems (ESSs) in unbalanced microgrids. The approach aims to mitigate voltage unbalance, reduce power losses, alleviate feeder congestion, and maximize the hosting capacity (HC) of RESs in grid-connected unbalanced microgrids. By employing smart inverter control for photovoltaic (PV) and ESS inverters, the strategy enhances the integration of additional RESs while minimizing power exchange between operational zones and the utility grid (UG). To achieve such an ambitious goal, smart inverter control functions are employed, including combined mode, volt-var (VV), volt-watt (VW) for Photovoltaic (PV) inverters, and VW for ESS inverters. The IEEE 123-bus test system, divided into six operational zones, is used as a case study, incorporating plug-in electric vehicle (PEV) demand and wind-based distributed generation (DG). A metaheuristic algorithm is developed for optimal DG and ESS deployment using MATLAB and OpenDSS. The results demonstrate significant improvements, including a 16% reduction in feeder congestion, a 150% increase in PV penetration, a 13% reduction in power losses, and decreased reliance on the UG, ensuring enhanced power quality and system reliability.https://ieeexplore.ieee.org/document/10850903/Distributed generationenergy storage systemshosting capacityrenewable energy sourcesvoltage unbalance |
| spellingShingle | Hossam H. H. Mousa Karar Mahmoud Matti Lehtonen Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters IEEE Access Distributed generation energy storage systems hosting capacity renewable energy sources voltage unbalance |
| title | Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters |
| title_full | Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters |
| title_fullStr | Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters |
| title_full_unstemmed | Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters |
| title_short | Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters |
| title_sort | enhancing renewable energy hosting capacity in unbalanced microgrids via empowering smart inverters |
| topic | Distributed generation energy storage systems hosting capacity renewable energy sources voltage unbalance |
| url | https://ieeexplore.ieee.org/document/10850903/ |
| work_keys_str_mv | AT hossamhhmousa enhancingrenewableenergyhostingcapacityinunbalancedmicrogridsviaempoweringsmartinverters AT kararmahmoud enhancingrenewableenergyhostingcapacityinunbalancedmicrogridsviaempoweringsmartinverters AT mattilehtonen enhancingrenewableenergyhostingcapacityinunbalancedmicrogridsviaempoweringsmartinverters |