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In recent years, clean energy installed capacity has a rapid increase in China. Large bases of clean energy mostly locate in the north and southwest regions, and load centers are reversely located. This kind of situation leads to increasingly prominent consumption problems of clean energy. As a result, the requirement to enhance clean energy long-range, large-scale deployment capacity through UHV power grid is becoming stronger. The current cross-provincial and cross-regional tie-line plan is based on medium and long-term electricity transactions which don't reflect the fluctuation characteristic of clean energy. On the other hand, the external transmission of thermal power has a large proportion in these transactions, and it affects the overall energy consumption capacity in large power grid. In view of above problems, this paper proposed a multi-period joint scheduling model with the goal of maximizing renewable energy consumption; this model can improve clean energy cross-provincial and cross-regional delivery proportion from the aspects of month, day-ahead, and intra-day. Firstly, this paper analyzed the essence of the problem of abandoning solar, wind and water power, and figured out feasible solutions including tie line optimization and cross-regional spare sharing etc. Secondly, this paper designed a multi-period cross-regional joint scheduling method. In the long-term level, surplus clean energy should be organized to enter into the medium and long-term transactions to raise the proportion of clean energy in the external transmission; in the short term, the additional renewable energy can be traded again in cross-regional spot market. At the end of this paper, the validity of the proposed method is verified by practical examples.