Multi-Objective Optimal Scheduling of Distribution Network with Electric Vehicle Charging Load Considering Time-Varying Road Impedance
Journal of Electrical Engineering and Technology, ISSN: 2093-7423, Vol: 18, Issue: 4, Page: 2667-2681
2023
- 2Citations
- 4Captures
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Article Description
As the influence of time-varying temperature and driving speed on electric vehicle charging load is not considered in the process of distribution network scheduling, a multiobjective optimal scheduling model for distribution networks, which considers electric vehicle charging load, is proposed. First, considering the time-varying road congestion degree to update the road impedance, an enhanced Dijkstra algorithm is proposed to determine the optimal travel route for EV users. Second, considering the dynamic influence of time-varying temperature and driving speed on EV power consumption, the EV charging load is analysed. Third, the distribution network load, tie line power fluctuation, and dispatching operation cost factors are applied to establish a multiobjective optimal dispatching model for the distribution network, and a multiobjective particle swarm algorithm based on dynamic learning factors is proposed to solve the model. The VIKOR method obtains the scheduling scheme closest to the ideal solution from the solution set. The simulation experiment suggests that the dispatching model in this paper can reduce not only the dispatching operation cost of the distribution network but also the distribution network load and power fluctuation of the tie line.
Bibliographic Details
Springer Science and Business Media LLC
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