In this paper, a multi-day rolling transaction decision-making method for the wind power plant under the Shanxi power market system is formulated by researching the transaction rules of Shanxi power market, and the average transaction price of the rolling matchmaking transactions in the next two to five days has been successfully predicted through the time-delay gray model. The time-delay gray model is a model established on the basis of the traditional gray prediction model by introducing the system characteristics and time-delay items of related factors. It has been verified that the model is effective in predicting the average transaction price of daily rolling matchmaking transaction, and the predication data can play an important role in the multi-day rolling transaction decision-making of the wind power plant under the Shanxi power market system and has high application value.
This article this article is committed to achieving the goal of maximizing the value of the new energy enterprises in the spot market by taking the pain points of new energy enterprises in the spot market as the entry point and through the key research on the key technology integration of the classified and time-sharing new energy power prediction optimization, the spot transaction intelligent auxiliary decision-making system of the new energy enterprises based on the spot market, and the experience sharing during the practice process.
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