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Electric cars

Optimizing Distribution Network Economy with Electric Vehicle Charging Demand-Price Uncertainty Correlations

Strategic Insights

— 1 min read

Research has proposed an economic dispatch strategy to optimize the economy of distribution networks (DN) with a large number of electric vehicles (EVs) connected. The strategy incorporates a data-driven uncertainty set into a two-stage robust optimization (TSRO) model to minimize planning and operational costs. The model has been tested on the modified IEEE-33 bus system, demonstrating a decrease in total cost by 14% to 32% compared to other uncertainty models. This research has been peer-reviewed and has significant implications for the economic operation of DN with EV charging demand-price uncertainty correlations.

Key Takeaways:

  • The proposed economic dispatch strategy incorporates a data-driven uncertainty set into a two-stage robust optimization (TSRO) model to minimize planning and operational costs.
  • The TSRO model uses a recourse method to quantify worst-case output scenarios for wind, photovoltaic, and EV charging demands, reflected as operating costs of the DN.
  • Numerical simulations on the modified IEEE-33 bus system demonstrate a decrease in total cost by 14% to 32% compared to other uncertainty models.
  • The proposed model has low conservatism while ensuring robustness and economy, making it suitable for long-term planning.
  • Electric Power Systems Research has published the research paper, titled "Two-stage Robust Economic Dispatch of Distribution Networks Considering Electric Vehicles Charging Demand-price Uncertainty Correlations".
  • The research has been funded by National Natural Science Foundation of China (NSFC), Shaanxi Outstanding Youth Science Fund Project, Xi'an Science and Technology Plan Project, and Xi'an Key Laboratory.
  • Xinghua Liu from Xi'an University of Technology is one of the additional authors of the research paper, along with Zhonghe Li, Xiang Yang, Zhengmao Li, Zhongbao Wei, and Peng Wang.

Statistics:

  • Decrease in total cost by 14-32% compared to other uncertainty models.
  • Results obtained through numerical simulations on the modified IEEE-33 bus system.
  • Peer-reviewed research published in Electric Power Systems Research journal.
  • Funded by National Natural Science Foundation of China (NSFC), Shaanxi Outstanding Youth Science Fund Project, Xi'an Science and Technology Plan Project, and Xi'an Key Laboratory.

Sources:

  • NewsRx. New Findings on Information Technology Described by Investigators at Xi'an University of Technology (Two-stage Robust Economic Dispatch of Distribution Networks Considering Electric Vehicles Charging Demand-price Uncertainty Correlations). Information Technology Newsweekly. November 4, 2025; p 417.
  • Elsevier. Electric Power Systems Research. (2025);248.
  • Electric Power Systems Research. Two-stage Robust Economic Dispatch of Distribution Networks Considering Electric Vehicles Charging Demand-price Uncertainty Correlations.

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