改进混沌优化算法在水电站水库优化调度中的应用

为提高多维目标函数全局最优解的计算精度,提出了一种改进的混沌优化算法(MCOA).利用混沌运动的随机性、遍历性和规律性进行全局寻优;通过引入解向量的优选,将解向量定位到最优解的附近,从而找出全局最优解.最后将该算法应用于水电站水库优化调度问题,并进行仿真计算,计算结果验证了算法的有效性.MCOA原理简单,易于编程实现,具有较大的实用价值,为求解水电站水库优化调度问题提供了一种有效方法.

Application of modified chaos optimal algorithm in optimal regulation of a hydropower station reservoir

In order to improve the precision of global optimal solution in the calculation of multi-dimensional objective function,a modified chaos optimal algorithm(MCOA),using the randomness,ergodicity and regularity of chaos movement for global optimization,was established.By introducing solution vector optimization,this algorithm tries to locate the solution vector close to the optimal solution and find the global optimal solution.The application of MCOA in the optimal regulation and simulation hydropower station reservoir indicates that MCOA not only is an effective algorithm but also can enhance the precision of solutions.Its principle is simple and easy for programming implementation.The algorithm has high practical value and provides an efficient method for optimal regulation of hydropower station reservoirs.