Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants
This paper presents an adaptive high-performance optimization tool for the real-time operation of Renewable-based Virtual Power Plants (RVPPs). The increasing integration of Renewable Energy Sources (RESs) into power systems introduces challenges due to their intermittent nature. Aggregating RES uni...
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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/10836704/ |
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| author | Oluwaseun Oladimeji Alvaro Ortega Lukas Sigrist Bogdan Marinescu Vinu Thomas |
| author_facet | Oluwaseun Oladimeji Alvaro Ortega Lukas Sigrist Bogdan Marinescu Vinu Thomas |
| author_sort | Oluwaseun Oladimeji |
| collection | DOAJ |
| description | This paper presents an adaptive high-performance optimization tool for the real-time operation of Renewable-based Virtual Power Plants (RVPPs). The increasing integration of Renewable Energy Sources (RESs) into power systems introduces challenges due to their intermittent nature. Aggregating RES units into RVPPs creates a more controllable and competitive entity for energy market participation. However, real-time operation, particularly for ancillary services like Frequency Containment Reserve and automatic Frequency Restoration Reserve, remains challenging since the offered delivery of such ancillary services needs to be guaranteed at all times. In this paper, the proposed Adaptive High-performance Optimal Real-time operation Algorithm (AHORA) addresses these challenges by executing re-dispatches every four seconds, mitigating internal and external disturbances while ensuring compliance with System Operator requirements. The framework supports both event-driven and periodic activation strategies, enabling dynamic adaptation to system changes. Real-time implementation of the operation framework is carried out using OPAL-RT real-time simulator, verifying the RVPP’s ability to meet the demands of real-time applications effectively. Test results demonstrate that AHORA achieves a minimum of 85% of the required regulation in worst case disturbances and maintains service provision within a stringent 4-second window. The findings demonstrate AHORA’s practical applicability in enhancing the reliability and efficiency of renewable energy integration into modern power grids, providing a robust solution for managing the complexities of RVPP real-time operation. |
| format | Article |
| id | doaj-art-12602053384246e8b6c01b4af0431ec8 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-12602053384246e8b6c01b4af0431ec82025-01-24T00:01:14ZengIEEEIEEE Access2169-35362025-01-0113114791149310.1109/ACCESS.2025.352812310836704Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power PlantsOluwaseun Oladimeji0https://orcid.org/0000-0003-1615-7929Alvaro Ortega1https://orcid.org/0000-0001-5749-0678Lukas Sigrist2https://orcid.org/0000-0003-2177-2029Bogdan Marinescu3https://orcid.org/0000-0001-7378-9354Vinu Thomas4https://orcid.org/0000-0002-8851-5919Institute for Research in Technology, ICAI, Comillas Pontifical University, Madrid, SpainInstitute for Research in Technology, ICAI, Comillas Pontifical University, Madrid, SpainInstitute for Research in Technology, ICAI, Comillas Pontifical University, Madrid, SpainNantes Université, École Centrale Nantes, UMR 6004, Nantes, FranceNantes Université, École Centrale Nantes, UMR 6004, Nantes, FranceThis paper presents an adaptive high-performance optimization tool for the real-time operation of Renewable-based Virtual Power Plants (RVPPs). The increasing integration of Renewable Energy Sources (RESs) into power systems introduces challenges due to their intermittent nature. Aggregating RES units into RVPPs creates a more controllable and competitive entity for energy market participation. However, real-time operation, particularly for ancillary services like Frequency Containment Reserve and automatic Frequency Restoration Reserve, remains challenging since the offered delivery of such ancillary services needs to be guaranteed at all times. In this paper, the proposed Adaptive High-performance Optimal Real-time operation Algorithm (AHORA) addresses these challenges by executing re-dispatches every four seconds, mitigating internal and external disturbances while ensuring compliance with System Operator requirements. The framework supports both event-driven and periodic activation strategies, enabling dynamic adaptation to system changes. Real-time implementation of the operation framework is carried out using OPAL-RT real-time simulator, verifying the RVPP’s ability to meet the demands of real-time applications effectively. Test results demonstrate that AHORA achieves a minimum of 85% of the required regulation in worst case disturbances and maintains service provision within a stringent 4-second window. The findings demonstrate AHORA’s practical applicability in enhancing the reliability and efficiency of renewable energy integration into modern power grids, providing a robust solution for managing the complexities of RVPP real-time operation.https://ieeexplore.ieee.org/document/10836704/Ancillary service provisionautomatic frequency restoration reserverenewable energy sourcesreal-time optimal operationreal-time simulationrenewable-based virtual power plant |
| spellingShingle | Oluwaseun Oladimeji Alvaro Ortega Lukas Sigrist Bogdan Marinescu Vinu Thomas Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants IEEE Access Ancillary service provision automatic frequency restoration reserve renewable energy sources real-time optimal operation real-time simulation renewable-based virtual power plant |
| title | Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants |
| title_full | Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants |
| title_fullStr | Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants |
| title_full_unstemmed | Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants |
| title_short | Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants |
| title_sort | adaptive high performance optimization tool for real time operation of renewable based virtual power plants |
| topic | Ancillary service provision automatic frequency restoration reserve renewable energy sources real-time optimal operation real-time simulation renewable-based virtual power plant |
| url | https://ieeexplore.ieee.org/document/10836704/ |
| work_keys_str_mv | AT oluwaseunoladimeji adaptivehighperformanceoptimizationtoolforrealtimeoperationofrenewablebasedvirtualpowerplants AT alvaroortega adaptivehighperformanceoptimizationtoolforrealtimeoperationofrenewablebasedvirtualpowerplants AT lukassigrist adaptivehighperformanceoptimizationtoolforrealtimeoperationofrenewablebasedvirtualpowerplants AT bogdanmarinescu adaptivehighperformanceoptimizationtoolforrealtimeoperationofrenewablebasedvirtualpowerplants AT vinuthomas adaptivehighperformanceoptimizationtoolforrealtimeoperationofrenewablebasedvirtualpowerplants |