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

Jianying Li (), Minsheng Yang, Yuexing Zhang, Jianqi Li and Jianquan Lu
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Jianying Li: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China
Minsheng Yang: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China
Yuexing Zhang: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China
Jianqi Li: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China
Jianquan Lu: School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde 415000, China

Energies, 2023, vol. 16, issue 8, 1-15

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.

Keywords: demand responses; electric vehicles; photovoltaic; micro-grid; uncertainty (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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