不同类型水电站群优化调度模型的大系统分解协调法研究 Research on Large-Scale System Decomposition and Coordination Method for Optimal Dispatching Model of Different Types of Hydropower Stations

根据串并联水电站、混联水电站等不同类型水电站群的特点，建立了以发电量最大为目标的优化调度模型，模型同时考虑了水电站群间水力联系、电力联系等影响因素。针对不同类型水电站群优化调度模型构建了大系统分解协调算法，分别对模型问题分解、协调算法和收敛条件进行了详细的说明与推导。以清江流域水布垭、隔河岩、高坝洲水电站为例，建立了考虑梯级间流量传播影响和电力联系的3级串联水电站优化调度的大系统分解协调模型，大系统分解协调算法较传统算法计算效率更高，可以为大流域跨省区的复杂并联、混联水电站群多目标优化调度模型的构建、问题分解、以及算法等方面提供参考。 According to the characteristics of different types of hydropower stations such as cascade and parallel hydropower stations, and mixed hydropower stations, the optimal dispatching model with the largest generating capacity was established. The model considers the influencing factors such as hydraulic connection and power connection between hydropower stations. A large system decomposition and coordination algorithm was used for the optimal scheduling model of different types of hydropower stations. The problem decomposition, coordination algorithm and convergence conditions were described and deduced respectively. A large-scale system decomposition and coordination model of three-stage cascade hydropower station considering the influence of the flow rate between the steps and the power connection was established, taking the Shuibuya, Geheyan and Gaobazhou hydropower stations in the Qingjiang River basin as an example. The proposed method is more efficient than the traditional algorithm, which can provide reference for the complex parallelization of the inter-provincial provinces in the large watershed, the construction of the multi-objective optimal dispatching model of the hybrid hydropower station group, the problem decomposition, and the algorithm.