Abstract: Under the continuous increase in the proportion of renewable energy, the inter-provincial consumption demand has been steadily rising. Establishing an inter-provincial electricity market that meets the overall resource optimization operation is crucial to promoting market efficiency. A bi-level clearing model of the inter-and intra-provincial electricity spot markets is established based on the time-coupling relationship of multiple block orders and hourly orders. Firstly, a mixed-integer linear programming model is constructed, encompassing multiple orders including ordinary hourly orders, flexible hourly orders, conventional block orders,removable block orders, and extended linked block orders. Secondly, to address the challenge of clearing difficulty arising from the complexity of inter-temporal coupling in block orders and the large number of inter-provincial market entities, a screening mechanism for the entities participating in inter-provincial market is proposed, which is based on the intra-provincial clearing results. Furthermore, the inter-provincial market clearing based on the selected entities from each province is realized, and the final winning bid result is formed by integrating the inter-and intra-provincial clearing results. Finally, the rationality and effectiveness of the model are verified through a case of IEEE RTS-96 system interconnected in multiple regions. The results indicate that,compared with individual provincial clearing, the bi-level clearing of the inter-and intra-provincial markets can enhance the overall social welfare. The proposed method can not only improve the solving efficiency, but also approach the global optimal solution to the inter-provincial overall clearing, thereby maximizing the social welfare.