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首页> 外文期刊>Water Resources Management >Short-Term Hydro Generation Scheduling of the Three Gorges Hydropower Station Using Improver Binary-coded Whale Optimization Algorithm
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Short-Term Hydro Generation Scheduling of the Three Gorges Hydropower Station Using Improver Binary-coded Whale Optimization Algorithm

机译：三峡水电站使用改进二进制编码鲸优化算法的短期水电站调度

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摘要

The short-term hydropower generation scheduling (STHGS) is a complicated problem in the utilization of hydropower and water resources. An improved binary-coded whale optimization algorithm (IBWOA) is proposed in this paper to solve the complex nonlinear problem. The STHGS problem is divided into unit combination (UC) subproblem and economic load distribution (ELD) subproblem. For the UC subproblem, we use the sigmoid function (SF) to generate a binary array representing the start/stop state of the unit. The whale algorithm's search mechanism is optimized, and the inertia weight and perturbation variation strategy are introduced to improve the algorithm's optimization ability. Each generation solution is optimized by repairing the minimum uptime/downtime constraint and the spinning reserve capacity constraint. For ELD subproblem, the optimal stable load distribution table (OSLDT) is used to distribute the load quickly. The Mutation mechanism and the Locally balanced dynamic search mechanism compensate for the non-convex problems caused by start-stop constraints and stable optimal table methods. Finally, the proposal is applied to solve the STHGS of the Three Gorges Hydropower Station. When the water head is 75 m,88 m, and 107 m, the minimum water consumption calculated by the IBWOA algorithm is 1,058,323,464 m(3), 892,524,696 m(3), and 745,272,216 m(3), respectively. Compared with the traditional whale optimization algorithm, the water consumption of the IBOWA algorithm corresponding to 75 m, 88 m, and 107 m water heads is reduced by 0.76%, 0.26%, and 0.05%, respectively. The comparison between the IBWOA algorithm and other heuristic algorithms shows that the IBWOA has good feasibility and high optimization accuracy.
机译：短期水电站调度（STHG）是利用水电和水资源的复杂问题。在本文中提出了一种改进的二进制编码鲸优化算法（IBWOA）以解决复杂的非线性问题。 STHGS问题分为单位组合（UC）子问题和经济负载分布（ELD）子问题。对于UC子问题，我们使用SIGMOID函数（SF）来生成表示单位的开始/停止状态的二进制数组。鲸鱼算法的搜索机制得到了优化，引入了惯性重量和扰动变化策略以提高算法的优化能力。通过修复最小正常运行时间/停机时间和旋转储备容量约束来优化各一代解决方案。对于ELD子问题，最佳稳定负载分配表（OSLDT）用于快速分配负载。突变机制和局部平衡的动态搜索机制补偿了由启动限制引起的非凸面问题和稳定的最佳表方法。最后，该提案用于解决三峡水电站的STHG。当水头为75米，88米和107米时，通过IBWOA算法计算的最小耗水量分别为1,058,323,464 m（3），8.92,524,696m（3）和745,272,216 m（3）。与传统的鲸鱼优化算法相比，对应于75米，88米和107米水头的Ibowa算法的耗水量分别减少0.76％，0.26％和0.05％。 IBWOA算法与其他启发式算法之间的比较显示，IBWOA具有良好的可行性和高优化精度。

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