Decision-making research on multi-day rolling transaction of wind power plant under Shanxi power market system

Junliang He; Zhenzhong Qi

doi:10.1117/12.2680800

23 May 2023 Decision-making research on multi-day rolling transaction of wind power plant under Shanxi power market system

Junliang He, Zhenzhong Qi

Author Affiliations +

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126451V (2023) https://doi.org/10.1117/12.2680800
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

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.

Citation Download Citation

Junliang He and Zhenzhong Qi "Decision-making research on multi-day rolling transaction of wind power plant under Shanxi power market system", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126451V (23 May 2023); https://doi.org/10.1117/12.2680800

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