和声搜索混合优化算法在水电厂机组组合优化中的应用

The Application of Harmony Search Hybrid Optimization Algorithm to Unit Commitment Optimization of Hydropower Plants

针对水电站机组组合优化运行问题的特殊性,建立了以耗水量最小为目标的机组组合优化模型,提出了一种改进二进制和声搜索算法优化水电厂机组的开停机顺序,采用启发式修复策略处理旋转备用容量约束与最小开停机时间约束,并通过查询经济运行总表的方法进行不同时段机组间的负荷分配。以柘林水电厂某日的实际负荷过程为例进行计算,并与改进二进制粒子群算法(IBPSO)和传统的动态规划法(DP)进行对比。结果表明,该算法简单快速,优化效果好,实现了机组间负荷的最优分配,提高了水能利用率,具有较强的工程实用性。

Based on the particularity of the safe and economic operation of hydropower plants, a unit commitment optimization model with the lowest water consumption is established and an improved binary harmony search algorithm is proposed. The heuristic repair strategy is used to handle the spinning reserve constraints and the minimum up and down time constraints, and the economic load dispatch problem is solved by querying the economic operation table. The actual load process of Zhelin Hydropower Plant is used as an example. The results show that the algorithm is simple and fast, and the optimization effect is good, and the optimal dispatch of the load between the units in different periods is improved, compared with the IBPSO and traditional DP method. Furthermore, the utilization rate of water is improved, and engineering practicability is strong.