Abstract: Centralized optimization is widely used in optimal dispatching of wind-solar-hydro-thermal power including cascade hydropower. However, the upstream and downstream areas of cascade hydropower often belong to different interest alliances, and centralized optimization cannot consider the interest tendencies of a single interest alliance when making dispatch decisions. In this regard, a game optimization dispatch model with the goal of maximizing the respective interests of the upstream and downstream regions was established. The downstream provides a certain proportion of the downstream revenue increase to the upstream as compensation, and the upstream changes the scheduling strategy to increase the downstream revenue. This game is a Stackelberg game. The leader is the downstream that provides compensation and formulates the compensation coefficient, and the follower is the upstream that formulates the upstream scheduling strategy. In the double-layer nested optimization model based on this Stackelberg game, the upstream optimal scheduling model as the lower layer considers the downstream optimal scheduling strategy, that is, the lower-layer model is also a double-layer optimization model. Finally, a game optimization scheduling model based on the three-layer optimization model is formed. The results show that this model can promote the improvement of the overall benefits of both parties while ensuring the respective interests of the upstream and downstream regions.

Key words: cascade hydropower, wind-solar-hydro-thermal power, compensation, Stackelberg game, optimal dispatch