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The Distributed Optimization Of Microgrid Based On DMPC

Posted on:2018-03-30Degree:MasterType:Thesis
Country:ChinaCandidate:H X JiangFull Text:PDF
GTID:2392330590977584Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As an important part of intelligent distribution network,microgrid has the ability of accepting large-scale distributed power connection and improving the reliability of power supply.Therefore,microgrid has been paid more and more attention by domestic and foreign scholars.As with the traditional grid,microgrid energy optimization management is required to realize the highefficient and stable operation of the microgrid.To facilitate access of distributed power to microgrid,it is necessary to adapt energy management system to “Plug and Play” function.Based on distributed predictive control,a distributed energy optimal scheduling algorithm and secondary voltage control algorithm are propose in this paper.The key contents of this paper are as follows:(1)For studying the overall control strategy of microgrid,this paper studied the characteristics of distributed power supplies and energy storage device in microgrid,and built the Simulink model of AC/DC hybrid microgrid: the modeling methods of wind power generation,PV power generation and battery were studied in this paper besides the MPPT control,virtual synchronous generator control etc..This paper simulated the AC/DC hybrid microgrid in grid-connected status by simulation.The simulation result showed that the propose model could operate stably in the grid-connected status and follow the power instruction.(2)Aiming at the problem that the centralized model predictive control has many computational variables and has poor flexibility in large scale system,this paper proposed an optimal scheduling algorithm based on distributed predictive control for microgrids.This algorithm decoupled the centralized optimization objects into distributed controllers,and obtained the optimal result by coordinating.Compared with centralized optimization,the distributed optimization method is more flexible and more suitable for “plug and play”.In this paper,the convergence analysis of distributed distributed predictive control was also given.Simulation results showed that the distributed optimization method is close to centralized optimization in convex optimization.(3)In order to keep the frequency offset of microgrids small,a secondary voltage control method based on distributed predictive control is proposed by analyzing the steady-state characteristics of droop control.Where the voltage frequency secondary control was aiming at minimizing the frequency offset while the cost of microgrid was minimized.The voltage amplitude secondary control was based on the average update rule.By this means,the voltage amplitude of each distributed power supply converged to the nominal voltage amplitude of microgrid.
Keywords/Search Tags:Microgrid, Receding Horizon Optimization, Energy Optimization Management, Distributed Model Prediction Control, Secondary Voltage Control
PDF Full Text Request
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