A Class Of Research On Deferrable Loads Scheduling And Optimal Control Methods Of Smart Grid

In the expected progress of smart grid,a large number of deferrable loads of various types are gradually popularized.Comparing with the power grid of the traditional sense,smart grid load scheduling can be carried out to keep the safe operation of power control systems.Therefore,how to effectively control the load dispatch,optimize the load curve,and optimize the power flow of the power grid,is increasingly concerned.Taking the background of smart grid into consideration,this paper carried out the optimization scheduling method and simulation research on deferrable load,and the main work includes:(1)Optimal control for deferrable loads scheduling under the constraint for electricity supply.Taking static characteristics of control systems into consideration for various types of load modeling,and according to the power supply constraints,we design a suitable objective function to transform the problem of load scheduling into an optimal control problem.And under the guidance of the distributed control strategy,we can finally achieve optimization.(2)Real-time distributed optimal control considering power supply constraint for deferrable loads scheduling.The strategy can compensate the fluctuation of power generation,and realize the real-time tracking with the power supply curve.By using the predictive value of some variables,allowing deferrable loads to arrive in the grid randomly for power consumption,and introducing pseudo load,the real-time scheduling algorithm is proposed by adding the constraint conditions of the power supply.(3)By introducing a branch flow model,we analyze and research optimization control methods based on optimal power flow in distribution network.By introducing a further two step relaxation method,we finally transform the NP original non-convex optimization problem into a convex simple problem to solve he branch flow model.