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Research On Optimal Real-time Pricing And Load Scheduling Based On Demand Response Management In Smart Grid

Posted on:2018-12-15Degree:MasterType:Thesis
Country:ChinaCandidate:L MuFull Text:PDF
GTID:2322330536981723Subject:Computer technology
Abstract/Summary:PDF Full Text Request
The traditional power grids occur various drawbacks because of the increasing demand,the reliability and quality of electricity using on the power system of consumers.As a result,the smart grid becomes a future power system.Demand response management,a key component of the smart grid,is defined as changes in electric usage by electricity consumers to minimize the electric bill and reduction of cost by electricicity suppliers.The demand response management not only helps to balance the demand and supply in the power system,but also uses the load scheduling to reduce the peak-to-average ratio.The traditional power grids only consider one electricity supplier,the main grid.The paper adds another one,local power supplier,in the smart grid system.This paper researches the real-time pricing and load schedule problems on the local power supplier side.The paper mainly researches two problems,namely the problem of real-time pricing and load scheduling.As for the real-time pricing in a smart community,we proposed a new model based on the connection of user's satisfy degree and user's bill curtailment reducing.On the supplier side,it can efficiently increase the revenue of it.The model is feasible one after the vertification with mathematic analysis based on the convex programming.Considering the Stackelberg game model,we model the real-time pricing problem as a one-leader multi-follower's Stackelberg game.The paper introduce two methods to tackle the real-time pricing scheme for local power supplier,the centralized algorithm and distributed one,respectively.The distributed algorithm is prefer than centralized one with considering the safety electricity use on the user side.Then we verified the distributed algorithm can convergence to centralized one.The method not only benefits the user's utility but also the supplier's revenue in a smart grid community.The load scheduling scheme based on the demand response is implemented by installing the storage device on the local power supplier side.A novel model implement the charging/discharging strategy is introduced.It is analyzed both on the user and supplier side for maximizing the revenue of the local power supplier.The methods about scheduling the storage device are based on the improved price scheme and linear programming scheme.The revenue achieved by the LPS with ESD is more than without ESD.With the comparison of the two methods,the revenue of method based on linear programming is more than based on improved price scheme.However,the complexity of linear programming method is bigger,which leads to the speed of the algorithm of linear programming is longer than the improved price scheme,especially when the user number increase quickly.The feasibility of above two methods is compared and verified in this paper.
Keywords/Search Tags:smart grid, real-time pricing, load scheduling, charging/discharging strategy, linear programming
PDF Full Text Request
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