Optimal scheduling of virtual power plant with electric vehicles based on dual incentives
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(School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

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TM614;TM734

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    Abstract:

    Electric vehicles have developed rapidly in recent years due to their advantages in energy saving and emission reduction, but their disorderly charging will lead to“peak on peak”in system load. Under the incentive of time -of -use price, the orderly charging and discharging of electric vehicles will also cause newpeak - valley difference. In order to solve the problem, the idea of master - slave game is used and an optimization model of virtual power plant with electric vehicles based on dual incentives of time-of - use price and carbon quota is proposed. Firstly, the concept of equivalent load, and formulates dual incentive policies are introduced based on the equivalent load to guide electric vehicles to discharge at peak times and charge at valley times. The virtual power plant is in the main position as the maker of incentive policies, the maximum benefit of virtual power plant are taken as the optimization objectives. The electric vehicle as the recipient of the incentive policy is in the subordinate position, the minimum cost of electric vehicle are taken as the optimization objectives. Finally, finding the Nash equilibrium solution of the established optimization model, and compared with only considering the time -of -use priceincentive. The calculation example shows that use of dual incentive policies can improve the overall benefits of virtual power plants and electric vehicles, and it can avoid the occurrence of newpeak-valley difference.

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张铁峰,姜喜燕,张灏璠.基于双重激励含电动汽车的虚拟电厂优化调度[J].电力需求侧管理英文版,2022,24(4):21-27.

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History
  • Received:March 10,2022
  • Revised:May 08,2022
  • Adopted:
  • Online: August 11,2022
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