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基于流量分级策略的水电站分期调度规则提取方法

Derivation of staged operation rules for hydropower stations using inflow classification strategy

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【作者】 梁志明万飚陈森林艾学山毛忠华肖瑶

【Author】 LIANG Zhiming;WAN Biao;CHEN Senlin;AI Xueshan;MAO Zhonghua;XIAO Yao;State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University;Hydropower Plant of Tianshengqiao-I Hydropower Development Co.Ltd;College of Mathematics and Statistics, Central China Normal University;

【机构】 武汉大学水资源与水电工程科学国家重点实验室天生桥一级水电开发有限责任公司水力发电厂华中师范大学数学与统计学学院

【摘要】 在水电站优化调度中,确定性优化所得到的最优决策受前后时段径流影响,入库径流的不稳定会使部分时段的调度规则极为复杂,提取存在较大的难度。针对这一问题,提出了一种机理明确的水电站分期调度规则提取思路,即根据各个时段调度规律的稳定性将调度期划分为稳定期与衔接期,并对调度规律稳定期与衔接期分别采用不同的调度规则提取方法。同时,通过分析衔接期径流特性,引入了逐时段流量分级策略,对衔接期最优决策呈现出的上下调度线进行了有效划分。以天生桥一级水电站为对象进行了实例研究,结果证明了该方法的有效性与优越性。

【Abstract】 In the optimal operation of hydropower stations, an optimal decision obtained by deterministic optimization for a certain period is influenced by the inflow in the adjacent periods. Due to the instability of inflow, the operation rules for some periods often become extremely complicated, resulting in a difficulty in rule derivation. To solve this problem, this paper presents a new idea of extracting staged operation rules using explicit mechanism and a practical method that divides the scheduling period into two parts, a stable period and a transition period, according to the rule patterns throughout the scheduling period, and then adopts different method of rule derivation for each period. For the transition period, we introduced a strategy of period-by-period inflow classification for an effective division of the upper and lower scheduling lines obtained by optimal decision, based on the inflow characteristics. To verify the robustness of this method, a case study was made for the Tianshengqiao-I hydropower station, and results show that the method is effective and advantageous in derivation of operation rules.

【基金】 国家自然科学基金(51479141);国家高技术研究发展计划(“863”计划)项目(2013BAA02B01)
  • 【文献出处】 水力发电学报 ,Journal of Hydroelectric Engineering , 编辑部邮箱 ,2016年01期
  • 【分类号】TV737
  • 【被引频次】10
  • 【下载频次】290
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