梯级水电站群日优化调度模型及应用

Optimal Daily Operation of Cascade Hydropower Stations

摘要: 采用以水定电和以电定水两种运行方式，分别以发电量最大和总耗水量最小为目标函数，建立了梯级水电站群日优化调度模型，并采用动态规划方法进行求解。使用梯级水电站群日发电资料和径流资料(2013年7月~12月)的应用检验结果表明，优化调度较实际调度提高发电量约0.67亿kW·h(增加11.54%)和减少耗水量0.26亿m3(减少−0.89%)，发电保证率由92%提高到100%，显著提高了水电站群的发电效益。

Abstract: Daily operation models for cascade hydropower stations were proposed and developed in this paper. The dynamic programming (DP) was used to solve daily optimal operation for two deterministic models with the goal of maximizing the hydropower generation and minimizing turbine discharge of the cascade hydropower stations, respectively. The inflow (from July to December in 2013) and corresponding real-time hydropower record data were used. The optimal result showed that hydropower generation can be increased from 0.581 billion kW•h to 0.648 billion kW•h (or an increase 11.54%) and turbine discharge of the cascade hydropower stations can be decreased from 2.92 billion m3 to 2.89 billion m3 (or a decrease of 0.89%) compared with current operation method. The assurance rate of firm output can be increased from 92% to 100%.