The Strategy Study Of Dynamoelectric Enterprise Bidding System In Power Market

With the durative and healthy development of national economy, Chinese electricity industry is pacing a new seedtime after having suffered a complex growing process. People's cognition about the essence of Power is increasing. The doubt and challenge about natural monopolization of electricity industry is booming. How to deploy power resource more effectual is always impalpable questions in face of leaders of many countries include Chinese government and this change cannot produce great impact on safe operation of power system.More and more countries select market. Chinese government presents a pattern by 2002, which break monopolization, boost competition and optimize resource deploying to increase social whole benefit.This thesis studies with emphasis how a dynamoelectric enterprise in market background of the station and the grid is separated should scientifically constitute bidding strategy,participate in market completion and obtain maximum income.Firstly, this thesis introduces not only history of development, mode of operation of overseas and domestic power market but also Chinese power market coming into being and characteristic of current market structure. And that analyzed basic bidding ways of dynamoelectric side.Secondly,having analyzed structure and actuality of power market and bidding characteristic of dynamoelectric side, the thesis put forwards math model which can predict margin price using Artificial Neural Network Forecast Technology of multi forward net with BP learn rule. That provides a decision-making gist for dynamoelectric enterprise. When utilizing month simulation market margin date from the area grid company of the east of China to emulator and train the model, the thesis applies the most currently Artificial Neural Network tool box from the program language MATLAB 6.5.Lastly,the thesis puts up about the bidding strategy of dynamoelectric enterprise.