Studies On Bidding Strategy Of Independent Power Plants Based On Power Price Forecasting

Building up the power market on power generation side through separate power plants from power network and price competition is the first step for China power market commercial operation. As the independent entity, power plants must generate power through price competition and bear the profit and loss. So there is theory and practice significance for studying on Auxiliary Decision-making System for Power Plants Price Competition. The system margin price is the unite price which reflects the short-term supply-demand relation of power commodity. For system purchase party, it consists of the power purchase unit cost, the forecasting of which make it possible for control the dynamic cost of itself; For market monitors, the forecasting of it provide rational foundation for the development and competition with soundness,stability and order; For power generators, the system margin price is its product price and its profit rely on the success bidding strategy which bases on the grasp the tendency of short-term market price. If known the information of power price beforehand, the power generators will get greater profit. SO the power price forecasting is one of the most urgent problems that should be solved. In this paper, we firstly study on the bidding strategy of independent power plants based on power price forecasting in the power market, then build up the optimal bidding model based on the real-time cost analysis for power plant, give a feasible bidding strategy.