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Analysis On Bidding Principle And Bidding Mathematical Model In Electricity Market

Posted on:2007-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:T HuFull Text:PDF
GTID:2189360242960844Subject:Probability theory and mathematical statistics
Abstract/Summary:PDF Full Text Request
In recent years, power markets are undergoing reform step by step to enhance their competitiveness over the world. Since the reform trend is infrangible, the deregulation and competition was brought into power industry system. The first step of the power market reform is to open supply-side market, then to transmission-side and distribution-side market step by step. As the core of the power markets'technique support system, bidding arithmetic varies in the different stage of power market, but its mathematical models in nature are the same and its purpose is to improve economic effectiveness while satisfying system security constraints and electricity quality. To maximize power producers'profit and to minimize operator's purchase cost, the Bidding strategies are very important for all the participants of electricity markets. In this paper, we first introduced the markets'structure, operation mode, trading mode and describes our nation's power market reforming and its future. In the next chapter, we first generalize power markets'bidding rule and settlement method, then describe and analysis bidding mathematical models completely. As there is so many constraints and it is hard to solve the problem wholly, a bidding model of multiple stages of time based on three constraints is described in the chapter 4, and we can draw some conclusions through computation by using this model. These conclusions will help us to improve the existent bidding models. At the end of this paper, we use learning automation to study power market and a bidding model of considering transmission network constrains is presented, this model shows the interaction of the power producers and it worth to research further.
Keywords/Search Tags:Power market, Bidding strategy, Bidding model, Climbing constrant, Network constrant, Market power, Learning automation
PDF Full Text Request
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