Using energy storage to build a microgrid with photovoltaics can effectively alleviate the impact caused by the instability of photovoltaic power generation on the power system. In view of this, this paper proposes a cooperative optimization strategy of microgrid clusters with photovoltaics and energy storage considering integration of electric vehicles. This strategy is divided into a pricing model for microgrid clusters as the outer loop and energy dispatching models for microgrids and electric vehicles as the inner loop. Based on the across-time-and-space energy transmission characteristics of electric vehicles, double-loop cooperative optimization is used to optimize the overall cost of microgrid clusters under the difference between regional electricity prices. The simulation results of study cases show that this strategy can effectively reduce the operating cost of microgrid clusters.

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Cooperative Optimization Strategy of Microgrid Clusters with Photovoltaics and Energy Storage Considering Integration of Electric Vehicles

  • Tianhao Yang,
  • Changsong Chen,
  • Lin Gan,
  • Bowen Cui,
  • Kang Ni

摘要

Using energy storage to build a microgrid with photovoltaics can effectively alleviate the impact caused by the instability of photovoltaic power generation on the power system. In view of this, this paper proposes a cooperative optimization strategy of microgrid clusters with photovoltaics and energy storage considering integration of electric vehicles. This strategy is divided into a pricing model for microgrid clusters as the outer loop and energy dispatching models for microgrids and electric vehicles as the inner loop. Based on the across-time-and-space energy transmission characteristics of electric vehicles, double-loop cooperative optimization is used to optimize the overall cost of microgrid clusters under the difference between regional electricity prices. The simulation results of study cases show that this strategy can effectively reduce the operating cost of microgrid clusters.