Order Charging Strategy based on Optimal TOU Demand Response

Promoting the use of green transportation equipment like electric cars energetically has become a trend that cannot be avoided if human sustainable development is to be achieved. The safe and efficient operation of the electrical grid, however, will face difficulties due to the disorderly charging of huge numbers of electric vehicles. Given that EV charging behavior is unpredictable, this study studies the effects of disorderly charging on the power grid and its capacity for accepting new loads and suggests an orderly charging method based on optimal TOU demand response. First of all, the concept of TOU and the principle of demand response are briefly introduced. The period division method based on fuzzy clustering is then detailed in detail, along with the introduction of the typical commodity demand price relationship to the charging of electric vehicles and the charging demand following the determination of the energy price response. A multi-objective optimization model of the ideal TOU charging strategy is then created, taking into account the bilateral interests and restrictions of the power grid and customers, and the model is then solved using the improved genetic algorithm. To confirm the approach’s efficacy in fully utilizing the demand response capability of electric vehicles and enhancing the overall benefits of the charging strategy, the simulation results of the strategy are compared with those of the other two charging techniques.