Optimal Scheduling of Multi-Energy Complementary System Based on Medium and Long-Term Contract Power Decomposition

The characteristics of volatility and randomness of new energy power generation affected by weather changes determine that it is difficult for new energy to sign medium and long-term electricity contracts in annual and monthly transactions. Therefore, in order to ensure the orderly and effective operation of the spot market, it is necessary to settle and decompose the medium and long-term contracts of new energy in order to connect with the spot market. In order to give full play to the role of medium and long-term contracts in avoiding price risks and optimizing resource allocation, this paper designs a new energy medium and long-term contract power decomposition mechanism based on the theoretical basis of medium and long-term trading in the power market, and constructs a wind-solar-water-fire optimal scheduling model for the source side. The objective function is to minimize the fuel cost and start-up cost of thermal power units, and the dynamic programming method is used to solve the problem. The solution results provide information such as the start-up combination and power generation of the next day's units to the day-ahead trading of the electricity spot market. An example analysis is carried out according to the multi-energy complementary system in the pilot area of the electricity spot market.