Multi-objective hierarchical optimization dispatch of active distribution network with electric vehicles

Abstract

In order to coordinate the interests between electric vehicle owners and the active distribution network, a multi-objective hierarchical optimization method for the optimal scheduling of the active distribution network with electric vehicles is proposed. This method takes into account both the comprehensive satisfaction of electric vehicle charging and the operational benefits of the active distribution network. The upper layer model focuses on maximizing the charging benefits of electric vehicle owners, and the normalized normal constraint method is used to solve the optimal charging and discharging plan of electric vehicle, which is input to the lower layer optimization model. The lower layer model aims to maximize the operational efficiency of the active distribution network by adjusting the output power of the controllable distributed generation according to the charging and discharging plan of electric vehicle. The second-order cone program and weighted minimal modular ideal point method are used to solve the nonlinear multi-objective problem. Simulation results show that the proposed multi-objective hierarchical optimization method can promote the comprehensive satisfaction of electric vehicle charging exceeding 0.9 while reducing active power loss by 94.12% and operating costs by 30.90%, which achieves a win-win situation for both electric vehicle owners and the active distribution network.

Keywords

• electric vehicle
• active distribution network
• hierarchical optimization
• multi-objective optimization
• normalized normal constraint method
• weighted minimal modular ideal point method
• second-order cone program