POA-DPSA混合算法在短期优化调度中的应用

POA-DPSA Algorithm for Short-term Hydro Scheduling of Cascaded Hydroelectric Stations

根据逐步优化算法和逐次逼近优化算法的思想,提出了POA-DPSA混合算法,建立了清江梯级水电站短期发电效益最大模型,并利用逐步优化逐次逼近混合算法进行模型求解,在给定总用水量和各时段电价,满足各种约束条件下使总的发电效益最大,取得了较好的优化效果。

From the idea of Progressive Optimality Algorithm and Succesive Approximation Of Dynamic Programming, POA-DPSA Algorithm has been developed. Then the maximum profit model for the cascaded hydroelectric plants on QingJiang River has been constructed. Given total amount of water and price of power of every period of time, the profit of generating electricity maxmized under all restrictions. Using POA-DPSA Algorithm to solve this model, we get good optimal value.