Based on cost data of certain zone history power transmission line projects, applying data mining technology including relative analysis, clustering analysis and support vector machine theory, one kind of new cost forecast methods of power projects is presented. Firstly, applying relative analysis and partial correlation analysis in SPSS15.0 software package, cost forecast index system is built after simplifying technical conditions of power projects. Next, using, clustering analysis, noise information of cost data of history projects is deleted. At last, using support vector machine theory, cost forecast model of power projects is designed. Simulation results of real power transmission line projects in Matlab7.0 software package show such model is valid and feasible.
As a controllable load and distributed energy storage unit, electric vehicle (EV) can use electric vehicle with vehicle-to-grid (V2G) technology to realize peak load shifting. In order to study the maximum bearing price of the grid in the discharge behaviour of electric vehicles, the paper takes the lowest operating cost of the grid as the objective function, establishes the optimal unit combination model of the standby unit during the peak load. The maximum bearing price of the gird is applied to the maximum cost of scheduling electric vehicle. Then the relationship between the maximum acceptable price and the power of the electric vehicle can be obtained. With the day-ahead load forecast, the upper limit of the electric vehicle acceptable discharge price is obtained. Finally, the simulation and analysis of the proposed method are carried out by numerical examples, and the feasibility and effectiveness of the proposed method are verified.
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