【摘要】 变尺度混沌优化方法 (MutativeScaleChaosOptimizationAlgorithem ,MSCOA)利用混沌现象的特点 ,把混沌变量映射到待寻优变量区间 ,不断缩小优化变量的搜索空间和提高搜索精度 ,从而有较高的搜索效率 .对几个测试函数的优化计算验证了该方法有的效性 .电站经济运行问题是一个具有整型变量、连续变量及非线性函数的混合整数非线性规划问题 ,本文将变尺度混沌优化方法首次应用到电站机组经济运行优化问题中 ,优化计算结果可以同时得到最优机组组合及机组的负荷最优分析 .更多还原

【Abstract】 Based on the properties of chaotic phenomena, mutative scale chaos optimization algorithem(MSCOA) reflects the chaotic variable to the range of variables optimized. high efficiency was obtained by continually minimizing the searching space of variable optimized and enhancing the searching precision. Simulation results of several testing functions demonstrates the effectiveness of the algorithm. Power plant units economic dispatch is a nonlinear programming problem mixed with integer variables, continuous variables and nonlinear functions. By applying MSCOA to the units economic dispatch firstly, the unit combination and its load dispatch can be obtained simultaneously.更多还原