梯级水库短期发电优化调度的协进化粒子群算法应用研究

针对传统优化算法在求解高维、复杂的梯级水库短期发电优化调度时多约束条件难以处理、 计算机时长、易陷入局部最优解等缺陷, 提出了基于协进化的粒子群优化算法, 并建立了相应罚因子的评价机制, 在此基础上对协进化粒子群优化算法进行了改进. 通过实际算例验证了该方法的合理性和可靠性, 从而为高维、复杂梯级水库发电优化调度提供了一种新的求解途径.

The application of study on co-evolutionary particle swarm optimization in short time cascade reservoir power generation optimized operation

For high-dimensional and complex cascade reserviors,the traditional optimization algorithms are difficult to deal with multi-constraint condition,a long computing time,falling into local optimal solution easily and other defects.Combined with the optimal operation characteristics of short time cascade reserviors,co-evolutionary particle swarm optimization algorithm is proposed.At the meantime, a penalty factor of the evaluation mechanism is established and the algorithm is improved.The practical example shows that this method is reasonable and reliable,so as to provide a new way to solve optimal operation of high-dimensional and complex cascade reservoirs based.