Thermal Power Plant Bidding Strategies IDSS Analysis And Design

Recent years, the electric power industries of China have been undergoing massive changes to introduce competition into electric power system. Much effort has been made to restructure the traditional monopoly power industry with objectives of introducing fair competition and improving economic efficiency. Under this background, power plants must participate in the electric power price competition, through participating competitive market to achieve their objective with maximizing significance by means of optimal bidding strategies. Meanwhile, the process of making bidding strategies is very complex and always made promptly. Therefore to accomplish the decision properly, the people who quote the price always need certain information system to support their work. So, it is inevitable for power plants to use advanced information technologies to aid and support to make bidding strategies.The intelligent decision support system (IDSS) is a kind of dynamic intelligent interactive computer software system; it is a combo of the artificial intelligence (AI) technique and the decision support system (DSS) technique. Compared with other information management systems, the IDSS has the ability of the qualitative analysis and quantitative analysis both, it can aid and support people's decision perfectly, and has become the new direction of the information system's development.This paper tries to apply to the IDSS technique to support the bidding strategies' decision, which combines the techniques of the intelligent information and bidding strategies to produce proper bidding strategies decision. A few framework to build optimal bidding strategies for thermal power suppliers in an electricity market are presented first, some optimal technologies, methods and formulations such as optimization auction strategy mould, risk hedging patterns and or so are described, basing on a great many of economy principles and realistic electricity production experiences. Then, basing on all these technologies, a thermal plant bidding IDSS relating with an optimal bidding strategies system that is one of the more coincide with practical conditions than any other else is designed, and the database system, the model database system and the knowledge base system of the IDSS are developed.