梯级水电站短期优化调度算法研究及软件开发

Study on Short-term Optimal Dispatching Algorithm and Software Development for Cascade Hydropower Stations

传统的动态规划算法和POA算法在求解梯级电站短期优化调度上容易出现维数灾的问题,为此以重庆阿蓬江流域梯级水电站为例,根据实际调度需求提出了改进逐次逼近动态规划算法,建立了梯级水电站发电量最大模型,并开发了相应的高级应用软件。结果表明,其运算效率高,收敛性好,能够满足梯级水电系统的调度需要。

Because the traditional dynamic programming algorithm and POA algorithm are easy to appear dimension-disaster in solving the short-term optimal dispatching of cascade hydropower stations. Taking the cascade hydropower stations in APeng River Basin of Chongqing as an example, an improved Dynamic Programming with Successive Approximation （DPSA） algorithm is proposed based on the actual operation demand, and then an optimization model with maximum power output is established by using this algorithm. The corresponding application software is also developed. The results show that improved DPSA algorithm has high efficiency and good convergence, and can meet the requirements on dispatching of cascade hydropower stations.