基于多种算法优化的水电站经济运行

Economic Operation of Hydropower Station based on Optimization Algorithms

在电力市场逐步成熟的电力系统中,具有运行灵活、负荷调节速度快等特点的水电站,承担着电网的旋转备用,如何让这些水电站经济运行,已成为当前电网系统要解决的重要任务之一。通过建立水电站经济运行模型,将遗传算法引入模拟退火算法,完成水电站经济运行优化,以解决水电站经济运行等联合优化调度等问题。并针对某一大型水电站分别采用了多种算法进行旋转备用经济运行计算,计算结果表明将遗传算法引入模拟退火算法具有收敛速度快、精度高等优点,在大中型水电站的经济运行中具有较大的实用价值。

Due to the flexibility, fast load adjustment, and other characteristics of hydropower station, hydropower has been used as the spinning reserve in the power grid. The economic operation of a hydropower station has become one of the important tasks for current grid systems. An economic operation model was established in this paper. The genetic algorithm （GA） was introduced into the simulated annealing （SA） algorithm to optimize the economic operation of the hydropower station and to solve the economic operation, and the joint and optimized dispatching problems. Various algorithms were used to calculate the economic operation of spinning reserve for a large hydropower station. The results show that the introduction of GA into SA has the advantages of fast convergence and high precision. It has certain practical value in the economic operation of large and medium hydropower stations.