| With the sustainable growth of electricity demand,the shortage of traditional energy and the problem of environmental pollution are increasingly serious,which drives power grid develop in the direction of cleanliness,efficiency,intelligence and flexibility.Distributed energy resource technology,which has the advantages of small negative environmental impact,high resource utilization efficiency and large comprehensive benefit,can make rational use of resources such as clean energy and energy storage,and is an important development direction of power grid.In recent years,the concept is extended to the demand side,containing various dispatchable load,so that the coordination between source-load-storage is becoming an important research issue.However,a large number of studies remain theoretical with a lack of engineering verification.Hence,conducting a study of distributed resource coordinated scheduling technology and carrying out demonstration application are of great significance in research and practice,which can verify the theoretical research results of distributed controllable resources participating in power grid scheduling.To realize the engineering application of distributed energy resource scheduling,this paper conducts the research from the aspects of theoretical method,software development and hardware designing.In the aspect of theory,this paper proposes an optimal operation strategy of microgrid considering air conditioner participating in automatic demand response.And a Stackelberg game model is proposed considering the benefit of both operator and consumer.The simulation verifies that the proposed demand response strategy can improve the mutual benefit of power gird and user.Moreover,this paper carries out a study of the mode and strategy of distributed resources participating in power grid operation.Optimization models for air conditioner supplying frequency regulation reserve,air conditioner participating in power shaving,combined economic operation of distributed resources and distribution network are proposed,and the simulation results show the effectiveness of proposed models.This paper focus on the algorithm embedding in software development.The implementation of optimal scheduling algorithm is divided into controlled object layer,control management layer,optimal scheduling layer and operational analysis layer,and the overall design concept of optimal scheduling algorithm is described in detail from the perspective of those four layers.Finally,this paper expounds the detailed processes of the optimal operation program.As to hardware development,this paper improves the function of cluster controller base on prior researches.Firstly,DSP/BIOS,a real-time operating system kernel,is introduced to modularize the equipment program,which can enhance the instantaneity of program.Besides,the function of distributed devices monitoring is developed base on Modbus protocol,providing the management of distributed devices like Photovoltaic and energy storage.Moreover,a parameter identification algorithm is embedded in cluster controller,which realizes the parameter identification function without the dependence of the cloud platform and gives support for algorithm implement.Relying on Science and Technology Project of China Southern Power Grid,the algorithm and equipment developed in this paper are deployed into the practical application system.The performance of proposed scheduling algorithm is verified via trial operation,which provides the engineering experience for the practical research of distributed energy resource scheduling. |