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 inIEEE transactions on sustainable energy Vol. 12; no. 4; pp. 2321 - 2331
Main Authors Li, Yang, Han, Meng, Yang, Zhen, Li, Guoqing
Format Journal Article
LanguageEnglish
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.
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
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  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
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  givenname: Meng
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  surname: Han
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  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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