Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market
Abstract This paper presents a stochastic optimization framework for microgrid (MG) energy management, integrating electric bicycle (E-Bike) and electric vehicle (EV) charging stations with a green certificate market (GCM) to enhance sustainability and economic efficiency. Uncertainties in renewable...
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-12328-5 |
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| author | Hossein Shayeghi Iraj Faraji Davoudkhani |
| author_facet | Hossein Shayeghi Iraj Faraji Davoudkhani |
| author_sort | Hossein Shayeghi |
| collection | DOAJ |
| description | Abstract This paper presents a stochastic optimization framework for microgrid (MG) energy management, integrating electric bicycle (E-Bike) and electric vehicle (EV) charging stations with a green certificate market (GCM) to enhance sustainability and economic efficiency. Uncertainties in renewable energy generation (solar and wind) and load demand are modeled using the Two-Point Estimation Method (TPEM), enabling robust handling of variability. A novel metaheuristic algorithm, Mountaineering Team-Based Optimization (MTBO), is developed to solve a three-objective optimization problem: minimizing operational costs, minimizing emissions, and maximizing GCM revenue. MTBO is benchmarked against particle swarm optimization, achieving a 21.6% reduction in operational costs and a 13.12% reduction in emissions in deterministic scenarios. Three cases are analyzed: (I) no mobile storage, (II) deterministic mobile storage, and (III) stochastic management. In case II, integrating mobile storage (EVs and E-Bikes) with V2G capabilities reduces operational costs by 18.6% and emissions by 10.9% compared to case I. Case III, incorporating stochastic management, further lowers costs by 1.5% and by 19.8% relative to case I, but increases demand response costs by 7.5% and reduces GCM revenue by 38.9% due to renewable fluctuations. These results highlight the practical benefits of combining E-Bike and EV mobile storage with GCM trading in microgrids, demonstrating MTBO’s superior exploration and exploitation capabilities for high-dimensional, uncertainty-aware energy scheduling. |
| format | Article |
| id | doaj-art-199cabb69abc40278df22b8eaecdb034 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-199cabb69abc40278df22b8eaecdb0342025-08-20T03:46:03ZengNature PortfolioScientific Reports2045-23222025-07-0115112810.1038/s41598-025-12328-5Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate marketHossein Shayeghi0Iraj Faraji Davoudkhani1Energy Management Research Center, University of Mohaghegh ArdabiliEnergy Management Research Center, University of Mohaghegh ArdabiliAbstract This paper presents a stochastic optimization framework for microgrid (MG) energy management, integrating electric bicycle (E-Bike) and electric vehicle (EV) charging stations with a green certificate market (GCM) to enhance sustainability and economic efficiency. Uncertainties in renewable energy generation (solar and wind) and load demand are modeled using the Two-Point Estimation Method (TPEM), enabling robust handling of variability. A novel metaheuristic algorithm, Mountaineering Team-Based Optimization (MTBO), is developed to solve a three-objective optimization problem: minimizing operational costs, minimizing emissions, and maximizing GCM revenue. MTBO is benchmarked against particle swarm optimization, achieving a 21.6% reduction in operational costs and a 13.12% reduction in emissions in deterministic scenarios. Three cases are analyzed: (I) no mobile storage, (II) deterministic mobile storage, and (III) stochastic management. In case II, integrating mobile storage (EVs and E-Bikes) with V2G capabilities reduces operational costs by 18.6% and emissions by 10.9% compared to case I. Case III, incorporating stochastic management, further lowers costs by 1.5% and by 19.8% relative to case I, but increases demand response costs by 7.5% and reduces GCM revenue by 38.9% due to renewable fluctuations. These results highlight the practical benefits of combining E-Bike and EV mobile storage with GCM trading in microgrids, demonstrating MTBO’s superior exploration and exploitation capabilities for high-dimensional, uncertainty-aware energy scheduling.https://doi.org/10.1038/s41598-025-12328-5Microgrid energy managementStochastic optimizationMobile storage integrationGreen certificate marketMountaineering Team-Based optimization |
| spellingShingle | Hossein Shayeghi Iraj Faraji Davoudkhani Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market Scientific Reports Microgrid energy management Stochastic optimization Mobile storage integration Green certificate market Mountaineering Team-Based optimization |
| title | Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market |
| title_full | Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market |
| title_fullStr | Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market |
| title_full_unstemmed | Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market |
| title_short | Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market |
| title_sort | uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market |
| topic | Microgrid energy management Stochastic optimization Mobile storage integration Green certificate market Mountaineering Team-Based optimization |
| url | https://doi.org/10.1038/s41598-025-12328-5 |
| work_keys_str_mv | AT hosseinshayeghi uncertaintyawareenergymanagementinmicrogridswithintegratedelectricbicyclechargingstationsandgreencertificatemarket AT irajfarajidavoudkhani uncertaintyawareenergymanagementinmicrogridswithintegratedelectricbicyclechargingstationsandgreencertificatemarket |