Analysis In Power Market And The Electricity Price Forecasting For Independent Power Enterprise

It is an important step to establish the electric power market at the generating side in the commercialization of Chinese electric power market. This paper is about the strategies based on the marginal price prediction for independent power plants to connect to the national network by price competition in the context of electricity market. By using ANN to predict the short-term marginal price of the whole network, an optimal quote model based on real-time cost analysis is established and a game-theory quote strategy is brought forward and a good effect is achieved. In combination with engineering practice, an integrated programming is conducted of quoting auxiliary decision-making system and an engineering implementation scheme is proposed based on the theory study. Finally, power plants pricing competition computer auxiliary decision-making system is developed initially using programming language Visual C#. A simulation is performed of the established model and algorithm with the simulated operational data of Shandong electricity market in this paper.