佟忠正,孙旸子,王忠军

• 1:广东电力信息科技有限公司
• 2:广东电科院能源技术有限公司
• 3:三峡大学

摘要(Abstract)：

由于传统的梯级水电站电力负荷分频调度方法存在耗时长、费用高、资源利用率低、分频调度效果不佳的问题,提出一种基于背包算法的梯级水电站电力负荷分频调度方法。在水位约束、水库水位约束、流量约束、出力约束以及梯级水电站的水量平衡方程下,构建目标函数,计算下游梯级不同电站的入流以及出力,并将计算结果和天然径流下的出力进行多组统计对比,获取对应的补偿效益,构建梯级水电站电力负荷分频调度模型。采用背包算法,对组建的模型进行求解,获取最佳梯级水电站电力负荷分频调度方案。仿真试验结果表明,该方法的梯级水电站电力负荷分频调度耗时最高只有1.56 min,且调度精度最高可达90%,能够有效降低电力负荷分频调度耗时及费用,提升梯级水电站的资源利用率和电力负荷分频调度精度。

关键词(KeyWords)： 背包算法;梯级水电站;电力负荷;分频调度;人工智能算法;应用;水库

Abstract:

Keywords:

基金项目(Foundation): 中国南方电网有限责任公司科技项目(GDKJXM20183896);; 国家自然科学基金项目“水单机组对电力系统低频振荡影响机理及其优化控制研究”(51709121)

作者(Author): 佟忠正,孙旸子,王忠军

DOI: 10.13928/j.cnki.wrahe.2021.11.014

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