Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) Curtailment
The global climate crisis demands urgent action to mitigate global warming. Using renewable energy sources, such as solar and wind power, for electricity generation is crucial. This shift from centralized to distributed power systems, however, brings challenges, including voltage fluctuations and re...
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IEEE
2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10838500/ |
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| author | Hyunwoo Song Gab-Su Seo Dongjun Won |
| author_facet | Hyunwoo Song Gab-Su Seo Dongjun Won |
| author_sort | Hyunwoo Song |
| collection | DOAJ |
| description | The global climate crisis demands urgent action to mitigate global warming. Using renewable energy sources, such as solar and wind power, for electricity generation is crucial. This shift from centralized to distributed power systems, however, brings challenges, including voltage fluctuations and renewable energy curtailment. The rapid growth of the electric vehicle (EV) industry adds complexity, increasing overall electricity demand and straining the power supply during peak charging times. This paper proposes a scheduling strategy for EV aggregators to reduce renewable energy curtailment and stabilize grid operation by strategically scheduling EV charging. Using Multi -Agent Transport Simulation (MATSim), a traffic simulation tool, EV driving data in Denver, Colorado, USA, were modeled. The EV aggregator adjusts charging fees based on locational marginal prices, encouraging EVs to charge at different stations according to pricing. Simulations on an IEEE 33-bus system with distributed energy resources and EV charging stations validate the proposed algorithm, demonstrating its effectiveness in reducing curtailment by 12.55% and stabilizing grid operation. |
| format | Article |
| id | doaj-art-8766975c77964475bcf88c89ae27c1c4 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-8766975c77964475bcf88c89ae27c1c42025-01-24T00:01:22ZengIEEEIEEE Access2169-35362025-01-0113112321124710.1109/ACCESS.2025.352862610838500Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) CurtailmentHyunwoo Song0Gab-Su Seo1https://orcid.org/0000-0002-5909-5978Dongjun Won2https://orcid.org/0000-0001-7906-4864Department of Electrical and Computer Engineering, Inha University, Incheon, South KoreaPower Systems Engineering Center, National Renewable Energy Laboratory, Golden, CO, USADepartment of Electrical and Computer Engineering, Inha University, Incheon, South KoreaThe global climate crisis demands urgent action to mitigate global warming. Using renewable energy sources, such as solar and wind power, for electricity generation is crucial. This shift from centralized to distributed power systems, however, brings challenges, including voltage fluctuations and renewable energy curtailment. The rapid growth of the electric vehicle (EV) industry adds complexity, increasing overall electricity demand and straining the power supply during peak charging times. This paper proposes a scheduling strategy for EV aggregators to reduce renewable energy curtailment and stabilize grid operation by strategically scheduling EV charging. Using Multi -Agent Transport Simulation (MATSim), a traffic simulation tool, EV driving data in Denver, Colorado, USA, were modeled. The EV aggregator adjusts charging fees based on locational marginal prices, encouraging EVs to charge at different stations according to pricing. Simulations on an IEEE 33-bus system with distributed energy resources and EV charging stations validate the proposed algorithm, demonstrating its effectiveness in reducing curtailment by 12.55% and stabilizing grid operation.https://ieeexplore.ieee.org/document/10838500/Electric vehiclescurtailmentelectric vehicle aggregatorelectric vehicle schedulinglocational marginal price |
| spellingShingle | Hyunwoo Song Gab-Su Seo Dongjun Won Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) Curtailment IEEE Access Electric vehicles curtailment electric vehicle aggregator electric vehicle scheduling locational marginal price |
| title | Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) Curtailment |
| title_full | Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) Curtailment |
| title_fullStr | Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) Curtailment |
| title_full_unstemmed | Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) Curtailment |
| title_short | Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) Curtailment |
| title_sort | pricing strategy of electric vehicle aggregators based on locational marginal price to minimize photovoltaic pv curtailment |
| topic | Electric vehicles curtailment electric vehicle aggregator electric vehicle scheduling locational marginal price |
| url | https://ieeexplore.ieee.org/document/10838500/ |
| work_keys_str_mv | AT hyunwoosong pricingstrategyofelectricvehicleaggregatorsbasedonlocationalmarginalpricetominimizephotovoltaicpvcurtailment AT gabsuseo pricingstrategyofelectricvehicleaggregatorsbasedonlocationalmarginalpricetominimizephotovoltaicpvcurtailment AT dongjunwon pricingstrategyofelectricvehicleaggregatorsbasedonlocationalmarginalpricetominimizephotovoltaicpvcurtailment |