Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles

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Abstract
Multiple demand responses and electric vehicles are considered, and a micro-grid day-ahead dispatch optimization model with photovoltaic is constructed based on stochastic optimization theory. Firstly, an interruptible load model based on incentive-based demand response is introduced, and a demand response mechanism for air conditioning load is constructed to implement an optimal energy consumption curve control strategy for air conditioning units. Secondly, considering the travel demand and charging/discharging rules of electric vehicles, the electric vehicle optimization model is built. Further, a stochastic optimization model of micro-grid with demand response and electric vehicles is developed because of the uncertainty of photovoltaic power output. Finally, the simulation example verifies the effectiveness of the proposed model. The simulation results show that the proposed model can effectively tackle the uncertainty of photovoltaic, as well as reduce the operating cost of micro-grid. Therefore, the effective interaction between users and electric vehicles can be realized.
Funding Information
  • National Natural Science Foundation of China (62273142, 2021JJ30477, 2021JJ50023, 2021GK5074, 2021GK2010, 22A0490, B08007054)
  • Natural Science Foundation of Hunan Province (62273142, 2021JJ30477, 2021JJ50023, 2021GK5074, 2021GK2010, 22A0490, B08007054)
  • Hunan Enterprise Science and Technology Commissioner Program (62273142, 2021JJ30477, 2021JJ50023, 2021GK5074, 2021GK2010, 22A0490, B08007054)
  • science and technology innovation Program of Hunan Province (62273142, 2021JJ30477, 2021JJ50023, 2021GK5074, 2021GK2010, 22A0490, B08007054)
  • Research Foundation of Education Bureau of Hunan Province, China (62273142, 2021JJ30477, 2021JJ50023, 2021GK5074, 2021GK2010, 22A0490, B08007054)

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