Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events
Frequent disruptions from extreme weather events pose a significant threat to modern power distribution systems. To enhance grid resilience, this study proposes a novel framework for the strategic placement of virtual power plants (VPPs) within interconnected microgrids (MGs), integrating diverse di...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-07-01
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| Series: | Energy Conversion and Management: X |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174525003083 |
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| author | T.D. Suresh M. Thirumalai R. Hemalatha Mohit Bajaj Vojtech Blazek Lukas Prokop |
| author_facet | T.D. Suresh M. Thirumalai R. Hemalatha Mohit Bajaj Vojtech Blazek Lukas Prokop |
| author_sort | T.D. Suresh |
| collection | DOAJ |
| description | Frequent disruptions from extreme weather events pose a significant threat to modern power distribution systems. To enhance grid resilience, this study proposes a novel framework for the strategic placement of virtual power plants (VPPs) within interconnected microgrids (MGs), integrating diverse distributed energy resources (DERs) such as solar, wind, battery energy storage systems (BESS), and battery electric vehicles (BEVs). Utilizing a modified IEEE 118-bus radial distribution system (RDS), segmented into residential, commercial, and industrial zones, the black widow optimization (BWO) algorithm is employed to optimally size and site VPPs, minimizing operational costs and maximizing system resilience. Renewable energy uncertainty is modeled via the two-point estimation method, with performance assessed using key resilience metrics like energy not supplied (ENS) and load restoration index (LRI). Simulation results demonstrate the BWO-based strategy’s superior performance, reducing total objective cost to $2.54 million, outperforming genetic algorithm (GA) and particle swarm optimization (PSO) by 5.01% and 8.54% respectively. Furthermore, it achieves the lowest ENS, highest LRI across critical zones, and exhibits faster convergence with fewer fitness evaluations. This work highlights the significant potential of VPP-enabled MGs coupled with bio-inspired optimization to improve power system resilience under adverse conditions. |
| format | Article |
| id | doaj-art-c03d9ad7f02a415483028df7f2405a62 |
| institution | Kabale University |
| issn | 2590-1745 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Conversion and Management: X |
| spelling | doaj-art-c03d9ad7f02a415483028df7f2405a622025-08-20T04:00:32ZengElsevierEnergy Conversion and Management: X2590-17452025-07-012710117610.1016/j.ecmx.2025.101176Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme eventsT.D. Suresh0M. Thirumalai1R. Hemalatha2Mohit Bajaj3Vojtech Blazek4Lukas Prokop5Department of Mechatronics, T.S. Srinivasan Centre for Polytechnic College and Advanced Training (CPAT-TVS), Chennai 600 095, IndiaDepartment of Electronics and Communication Engineering, Saveetha Engineering College, Chennai 602105, IndiaDepartment of Electrical and Electronics Engineering, Saveetha Engineering College, Chennai 602105, IndiaDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, India; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan; College of Engineering, University of Business and Technology, Jeddah 21448, Saudi Arabia; Corresponding author at: Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, India.ENET Centre, CEET, VSB-Technical University of Ostrava 708 00 Ostrava, Czech RepublicENET Centre, CEET, VSB-Technical University of Ostrava 708 00 Ostrava, Czech RepublicFrequent disruptions from extreme weather events pose a significant threat to modern power distribution systems. To enhance grid resilience, this study proposes a novel framework for the strategic placement of virtual power plants (VPPs) within interconnected microgrids (MGs), integrating diverse distributed energy resources (DERs) such as solar, wind, battery energy storage systems (BESS), and battery electric vehicles (BEVs). Utilizing a modified IEEE 118-bus radial distribution system (RDS), segmented into residential, commercial, and industrial zones, the black widow optimization (BWO) algorithm is employed to optimally size and site VPPs, minimizing operational costs and maximizing system resilience. Renewable energy uncertainty is modeled via the two-point estimation method, with performance assessed using key resilience metrics like energy not supplied (ENS) and load restoration index (LRI). Simulation results demonstrate the BWO-based strategy’s superior performance, reducing total objective cost to $2.54 million, outperforming genetic algorithm (GA) and particle swarm optimization (PSO) by 5.01% and 8.54% respectively. Furthermore, it achieves the lowest ENS, highest LRI across critical zones, and exhibits faster convergence with fewer fitness evaluations. This work highlights the significant potential of VPP-enabled MGs coupled with bio-inspired optimization to improve power system resilience under adverse conditions.http://www.sciencedirect.com/science/article/pii/S2590174525003083Resilience metricsRadial distribution systemsVirtual power plantsMicrogridsBattery energy storage systemsDistributed energy resources |
| spellingShingle | T.D. Suresh M. Thirumalai R. Hemalatha Mohit Bajaj Vojtech Blazek Lukas Prokop Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events Energy Conversion and Management: X Resilience metrics Radial distribution systems Virtual power plants Microgrids Battery energy storage systems Distributed energy resources |
| title | Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events |
| title_full | Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events |
| title_fullStr | Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events |
| title_full_unstemmed | Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events |
| title_short | Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events |
| title_sort | resilient vpp cost optimization in der driven microgrids for large distribution systems considering uncertainty during extreme events |
| topic | Resilience metrics Radial distribution systems Virtual power plants Microgrids Battery energy storage systems Distributed energy resources |
| url | http://www.sciencedirect.com/science/article/pii/S2590174525003083 |
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