Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems With an Electric Vehicle Charging Station: A Bi-Level Approach
A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy efficiency and environmental pollution, it is a critical task to coordinate flexible demand response and multiple renewable uncertainties. To this e...
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Published in | IEEE transactions on sustainable energy Vol. 12; no. 4; pp. 2321 - 2331 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.10.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy efficiency and environmental pollution, it is a critical task to coordinate flexible demand response and multiple renewable uncertainties. To this end, a novel bi-level optimal dispatching model for the CIES with an EVCS in multi-stakeholder scenarios is established in this paper. In this model, an integrated demand response program is designed to promote a balance between energy supply and demand while maintaining a user comprehensive satisfaction within an acceptable range. To further tap the potential of demand response through flexibly guiding users energy consumption and electric vehicles behaviors (charging, discharging and providing spinning reserves), a dynamic pricing mechanism combining time-of-use and real-time pricing is put forward. In the solution phase, by using sequence operation theory (SOT), the original chance-constrained programming (CCP) model is converted into a readily solvable mixed-integer linear programming (MILP) formulation and finally solved by CPLEX solver. The simulation results on a practical CIES located in North China demonstrate that the presented method manages to balance the interests between CIES and EVCS via the coordination of flexible demand response and uncertain renewables. |
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AbstractList | A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy efficiency and environmental pollution, it is a critical task to coordinate flexible demand response and multiple renewable uncertainties. To this end, a novel bi-level optimal dispatching model for the CIES with an EVCS in multi-stakeholder scenarios is established in this paper. In this model, an integrated demand response program is designed to promote a balance between energy supply and demand while maintaining a user comprehensive satisfaction within an acceptable range. To further tap the potential of demand response through flexibly guiding users energy consumption and electric vehicles behaviors (charging, discharging and providing spinning reserves), a dynamic pricing mechanism combining time-of-use and real-time pricing is put forward. In the solution phase, by using sequence operation theory (SOT), the original chance-constrained programming (CCP) model is converted into a readily solvable mixed-integer linear programming (MILP) formulation and finally solved by CPLEX solver. The simulation results on a practical CIES located in North China demonstrate that the presented method manages to balance the interests between CIES and EVCS via the coordination of flexible demand response and uncertain renewables. |
Author | Yang, Zhen Han, Meng Li, Yang Li, Guoqing |
Author_xml | – sequence: 1 givenname: Yang orcidid: 0000-0002-6515-4567 surname: Li fullname: Li, Yang email: liyang@neepu.edu.cn organization: School of Electrical Engineering, Northeast Electric Power University, Jilin, China – sequence: 2 givenname: Meng orcidid: 0000-0002-6219-2656 surname: Han fullname: Han, Meng email: 2322451905@qq.com organization: School of Electrical Engineering, Northeast Electric Power University, Jilin, China – sequence: 3 givenname: Zhen surname: Yang fullname: Yang, Zhen email: 1678084931@qq.com organization: State Grid Beijing Electric Power Company, Beijing, China – sequence: 4 givenname: Guoqing surname: Li fullname: Li, Guoqing email: lgq@neepu.edu.cn organization: School of Electrical Engineering, Northeast Electric Power University, Jilin, China |
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Snippet | A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy... |
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SubjectTerms | bi-level programming Community integrated energy system Demand side management Dispatching dynamic pricing Electric power demand Electric vehicle charging Electric vehicles Energy consumption Energy efficiency Energy management Energy usage Integer programming integrated demand response Integrated energy systems Linear programming Load management Mixed integer Optimal scheduling Pricing Real time renewable uncertainties Time of use Uncertainty |
Title | Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems With an Electric Vehicle Charging Station: A Bi-Level Approach |
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