In the current electricity market, the volume of daily spot market clearing data has reached millions or tens of millions. With the increase in trading activities and the complexity of the market structure, ensuring the integrity, transparency, and traceability of trading data has become a key issue to be studied in the field of market clearing in China. Therefore, this study proposes a data provenance method for power market clearing based on the PROV model and smart contracts, aiming to automate the storage and updating of provenance information through smart contracts to improve the transparency of the clearing process and the trust of the participants. The proposed method utilizes the elements of entities, activities, and agents in the PROV model, combined with the hierarchical storage and immutability of blockchain technology, to record and track trading activities and rule changes in the electricity market. The method not only enhances data transparency and trust among market participants but also optimizes data management and storage strategies, reducing operational costs. In addition, the method provides proof of compliance for power market clearing, helping market participants meet increasing regulatory requirements.