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Multi-layer Coordinated Optimal Dispatch of Electric-Thermal-Hydrogen Integrated Energy System Based on V2G Load Feedback Correction
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Affiliation:

Shaanxi Key Laboratory of Smart Grid (Xi'an Jiaotong University), Xi'an 710049, China

Abstract:

The integrated energy system including electric vehicles (EVs) and hydrogen fuel cell vehicles (FCVs) can achieve multi-energy coordination and complementarity, and effectively promote the realization of the "carbon emission peak and carbon neutrality" goal, but temporary changes in vehicle travel plans have adverse effects on the system. Therefore, a multi-layer coordinated optimal strategy for the electric-thermal-hydrogen integrated energy system including the load feedback correction of the vehicle to grid (V2G) is proposed. Based on the coordination and cooperation of three-layer optimization, the charging and discharging management layer of EVs comprehensively considers the variance of the load curve and the dissatisfaction of EV owners, formulates charging and discharging plans and transmits them to the rolling optimization layer of model predictive control. In the rolling optimization process, the number of unplanned vehicles is identified in real time, and the V2G load feedback correction layer is operated independently, so as to eliminate the adverse effects of temporary changes in vehicle travel plans. The simulation results show that the proposed strategy not only achieves a win-win situation between car owners and operators, but also improves operational economy of the system and improves the track results of the planned power flow of the main grid tie-line line.

Keywords:

Foundation:

This work is supported by China-UK International Cooperative Research Project of the National Natural Science Foundation of China (No. 52061635105).

Get Citation
[1]JIA Shiduo, KANG Xiaoning, HEI Haojie, et al. Multi-layer Coordinated Optimal Dispatch of Electric-Thermal-Hydrogen Integrated Energy System Based on V2G Load Feedback Correction[J]. Automation of Electric Power Systems,2023,47(15):100-110. DOI:10.7500/AEPS20220911003
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History
  • Received:September 11,2022
  • Revised:March 06,2023
  • Adopted:March 20,2023
  • Online: August 07,2023
  • Published: