Coordinated Demand Response Of Numerous Households Based On Many-objective Optimization

The continuous growth of peak load brings new challenges to the balance of power supply and demand in power system,and the residential demand response programs provide a new solution for maintaining the balance of power demand and supply.On the one hand,the power company can guide the electricity consumption behavior of households by stimulating households to participate in demand response so as to alleviate the shortage of system capacity and improve the utilization of power equipment.On the other hand,households can change their original electricity consumption mode of the controllable appliances under the inductive incentive signal issued by the power supply side to obtain economic compensation.However,the residential demand response may result in a new round of load peaks and troughs due to poor incentive effects,which ultimately results in low energy efficiency and low economic efficiency of the grid.In this paper,the following research are made on methods for the coordination of power consumption when residential end-users participate in the demand response programs.A multi-household power consumption optimization model is established when all smart households on the home side participate in demand response independently.Through the simulation,the characteristics of power consumption behaviors for residential end-users are analyzed,and the life loss of the distribution transformer is studied by introducing the life loss model of the distribution transformer.A two-stage coordinated demand response optimization model is proposed considering the benefits of the power supply side and the household side to solve the problem that the distribution transformer may be overloaded again when each household participates in the demand response independently.The first stage of the model is formed from the view of power company and the optimization model is regarded as a load management model of distribution transformer to determine the optimum amount of transformer load deferment and curtailment.The second stage of the model is formed from the view of residential end-users and the multi-household power consumption optimization problem when numerous households participate in the demand response programs is regarded as a many-objective optimization model to solve the problem of coordinated electricity consumption when the total load deferment and curtailment are determined.A novel evolutionary many-objective optimization based on the hyperplane projection(EMOHP)algorithm is proposed to solve the many-criteria decision making(MCDM)problem when multiple intelligent households participate in the demand response programs.The EMOHP algorithm uses the center projection to map the solution set from the hypercube to the hyperplane.The solution set is classified by calculating the distances from the projection points to the reference points,and then the individuals of the same category are evaluated and sorted according to the comprehensive distance measure.It improves the selection ability of evolutionary algorithms.The superiority of the proposed multi-household coordinated demand response is verified by comparing the results of the many objective decision-making solution obtained under the EMOHP algorithm with the other two power consumption optimization models.Focusing on multi-household demand response methods,a two-stage coordinated demand response optimization model is established considering the benefits of the power supply side and the household side,and a novel evolutionary many-objective optimization based on the hyperplane projection algorithm is proposed to solve the many-criteria decision making problem.The simulation shows that the proposed multihousehold demand response method solves the problem of coordinated electricity consumption when multiple intelligent households participate in the demand response programs.