基于二层规划的无功优化模型及其混合算法

REACTIVE POWER OPTIMIZATION MODEL AND ITS HYBRID ALGORITHM BASED ON BILEVEL PROGRAMMING

建立了电力系统无功优化的二层规划数学模型。基于二层规划模型和遗传算法、模拟退火算法的特点,构造了求解该模型的混合算法,即上层采用遗传算法求解,下层采用模拟退火法求解。对IEEE-6节点和IEEE-30节点系统进行的仿真计算表明所建立的模型和算法有效可行,对于大系统而言,该算法与上下层均采用遗传算法相比能大大提高计算速度。

A new bilevel programming model for power system reactive power optimization is proposed. Based on bilevel programming and according to the features of genetic algorithm and simulated annealing algorithm, a hybrid algorithm to solve this model is constructed, i.e., the upper level is solved by genetic algorithm and the lower one by simulated annealing algorithm. The simulation by IEEE 6-bus system and IEEE 30-bus system show that the proposed model and algorithm are effective and feasible. For large scale power grid, the calculation speed can be obviously speeded up by the proposed algorithm than that by genetic algorithm for both layers.