Multi-Objective Optimization Scheduling Method for Distribution Network with Distributed Energy
In order to improve the operational revenue of the distribution network and reduce energy losses during its power supply and distribution process,a multi-objective optimization scheduling method is designed and studied using a distribution network with distributed energy as an example.Establish a multi-objective function for distribution network optimization scheduling by taking economic goals and energy loss goals as scheduling objectives.Considering the physical limitations,operational requirements,as well as economic and environmental factors of the distribution network,the parameters in the established economic cost optimization objective function are constrained by using design function constraints.Introduce particle swarm optimization algorithm to evaluate the fitness of particles in the search space,in order to achieve collaborative scheduling optimization of distribution networks.The comparative experimental results demonstrate that the designed method can achieve the economic goals of the distribution network,improve the operating income of the distribution unit,reduce energy loss during operation of the distribution network,and improve the utilization rate of electrical energy.
distribution networkdistributed energyscheduling methodmulti-objective optimization