Research On Microgrid Energy Management System Based On Rolling-horizon Mathod

As a major component of smart grid in the future, microgrid has caught worldwideresearchers’ eye, because of its economics, environment-friendliness and reliability.Compared with the traditional grid with centralized power supply mode, the microgrid is asmall grid system composed of DGs, storages, load resources and management system.According to Shanghai Wuning Sci-tech Park’s microgrid, this paper designs the powerelectric control of distributed devices. Based on that, the paper puts forward a novelenergy management method for the microgrid with DG resources, storage and shiftableresources.Firstly, this paper analyses the DG and storage resources, focusing on the powerelectrical control of PV-wind-storage microgrid. Based on the MATLAB/Simulinkplatform, the converter models of each distributed power resources are built and thesimulation of AC microgrid is designed successfully.Based on the research of distributed equipment control, the corresponding optimalcontrol is put forward for source-storage microgrid. According to the mathematical modelof distributed resources, the EMS realizes the economics, environmental friendliness andreliability which are required by the consumers of microgrid.At last, the paper introduces the demand side resources. In summary, this paperestablishes a integral energy management optimization for source-load-storage microgrid.The system first consumes the energy from renewable DG to curtail the load. Then itutilizes the controllable DGs, storage and shiftable load resources to optimize whole-dayload curve. Due to the interaction between the three controllable resources’ optimizationresults, system uses iteration method to approach the global best solution. Considering thatthere are a large number of nonlinear problems in the calculating system, the PSO isemployed to solve above optimization problems. Meanwhile, this system adopts therolling horizon algorithm to improve its accuracy, which counters the randomness of loadin the microgrid. Example indicates that through the optimization of this EMS, microgridnot only cuts the peak load, but also reduces the electricity costs by the TOU price policyand improves the environment friendliness.