Research On Scheduling Of User-side Energy Management System With Multi-objectives

With the increasing shortage of energy required for traditional power generation and the increasingly serious problem of environmental pollution,distributed new energy power generation technology is gradually applied to the power grid,and with the growth of China's power demand and the increasingly high demand for environmental protection,the role of new energy power generation is particularly important.With the rapid development of smart home and Internet of things technology,the user can easily view and manage the working state of household load through mobile phones and other connected devices.To make the user side and grid side exchange information,intelligently schedule household load according to user's needs and demand response of grid side,make distributed energy smoothly connect to the grid at the same time,the users use energy storage device storage electrical energy when the price is low and release it for use by the load when the price is high under the time-sharing electricity price mechanism.It not only reduces the user's electricity costs,but also reduces the pressure of power supply for grid side at times of peak load,so the user-side energy management system based on distributed generation and energy storage technology has become a current research hot spot.In this paper,the significance and role of the user-side energy management system are comprehensively considered,and the optimal scheduling model of the user-side energy management system is established.The user-side energy management system is extended from the home energy management system to the community energy management system.The specific work of research is as follows:Firstly,the basic framework of the home energy management system is constructed,the operation mode of the home energy management system is analyzed,the relevant technologies are introduced,the household electrical equipment is divided into dispatchable load,undispatchable load and energy storage device,and the mathematical models of various electrical equipment are constructed.Then,aiming at the lowest electricity cost for users,home energy management system's optimal operation model is established without affecting the electricity demand of users,the harmony search algorithm is used to optimize the model,in view of the defect of unstable convergence of the algorithm,make appropriate improvements to its parameters,and comprise it with particle swarm optimization algorithm and basic harmony search algorithm,the simulation results show that the scheduling model can effectively save the user's electricity costs,the improved algorithm has better optimization performance.Finally,combine with the development trend of user-side intelligent electricity technology,the scheduling object is extended from a single family to an intelligent community.According to different types of users,the structural framework of the community energy management system is established.Due to the large potential of interactive scheduling among different families,the community energy management system can better coordinate with the grid side,participate in the demand response plan of the grid,and smoothly connect the load of the whole community to the grid.Considering the interests of both user side and grid side,on the basis of the work before,this paper adds the objective of minimizing load fluctuation on the side of distribution network to conduct multi-objective optimal scheduling for community energy management system.This paper proposes a multi-objective harmony search algorithm based on the theory of Pareto,and uses the algorithm to solve the model,compare it with multi-objective particle swarm optimization algorithm,the simulation results show that the scheduling scheme is feasible and valid,and the algorithm used is superior.