Orderly charging and discharging scheduling strategy of electric vehicle based on dynamic TOU price
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    Abstract:

    Aiming at the influence of the disorderly charging and discharging behavior of electric vehicles on the power grid,and the problems that the traditional peak-valley time-of-use electricity price is likely to cause new load peaks and the dynamic characteristics of electric vehicles cannot be considered,an orderly charging and discharging scheduling of dynamic time-of-use electricity price was established.Taking the charging and discharging electricity price of electric vehicles,the charging and discharging status of electric vehicles and the charging and discharging power as decision variables,a mathematical model was constructed with the minimum charging and discharging cost of electric vehicles,the minimum network loss caused by the access of electric vehicles,and the minimum node voltage deviation as the optimization goals.The multi-variable,multi-objective and high-dimensional optimization problems were solved by convex optimization algorithm.The electric vehicle charging demand and distribution network operation constraints were comprehensively considered,and finally an example was verified in the improved IEEE33 node system.The results show that the dynamic time-of-use electricity price proposed in this paper overcomes the disadvantages of the traditional peak-valley time-of-use electricity price,and can adjust the electricity price according to the dynamic characteristics of electric vehicles.The proposed dispatching strategy integrates the sensitivity analysis method,which can greatly shorten the power flow calculation in the dispatching process,and can effectively reduce the charging and discharging cost of electric vehicles and the impact of electric vehicle access on network loss and node voltage.It has a certain reference significance for the actual dispatch of power grids with electric vehicles.

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DENG Huiqiong, ZHANG Xiaofei, ZENG Fangan, ZHENG Yuyi, LI Peiqiang, ZHENG Rongjin. Orderly charging and discharging scheduling strategy of electric vehicle based on dynamic TOU price[J]. Journal of Hebei University of Science and Technology,2022,43(3):240-248

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History
  • Received:March 23,2022
  • Revised:May 05,2022
  • Adopted:
  • Online: July 08,2022
  • Published: