首页|基于最优流量分配的水电站短期精细化调度研究

基于最优流量分配的水电站短期精细化调度研究

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在水电站发电调度研究中,因"以水定电"和"以电定水"两种模式应用场景不同,通常独立使用短期调度模型或实时调度模型,这会导致调度过程中各时段出力的求解有所偏差,难以保证短期调度与实时调度出力计算的一致性和最优性.因此,通过构建最优流量分配模型,将短期调度模型和时段内机组最优流量分配模型进行耦合,可得到短期调度模型中各计算时段内的理论最优出力,实现电站与机组在短期及实时调度层面的无缝衔接.以阿尔塔什电站的发电调度为例,通过计算发现所建短期精细化调度模型的调度期发电量提高了近 9%,相较于传统优化调度方式额外提高了 5.5%,极大地提高了水电站的经济效益.
Research on Short-term Fine Operation of Hydropower Station Based on Optimal Flow Allocation
In the previous research on hydropower station scheduling,due to the different application scenarios of the"determining electricity by water"and"determining water by electricity"modes,short-term optimal dispatch or real-time optimal dispatch is usually used for hydropower stations alone.When short-term or real-time dispatching is carried out separately,due to the different output calculation methods of the two,the solution of the output in each period in the scheduling process is different,and it is difficult to ensure the consistency and optimality of the short-term scheduling and real-time scheduling output calculation.Therefore,this study,by building an optimal flow allocation model,couples the short-term dispatch model and the optimal flow allocation of units,to obtain the theoretical optimal output within the cal-culation period,so as to realize the coupling of power station and unit at the short-term and real-time scheduling level.Taking the power generation scheduling of Aertashi Reservoir as an example,through calculation,it is found that the power generation of the proposed method during the dispatch period is increased by nearly 9%,which is an additional 5.5%compared with the traditional optimized dispatch method,which greatly improves the economic benefits of the hy-dropower station.

short-term operationoptimal flow allocationdynamic programmingAertashi hydropower station

梁树超、翟保豫、李星、徐志、李春红、李子安、蒋志强

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国网新疆电力有限公司电力科学研究院, 新疆 乌鲁木齐 830000

南京南瑞水利水电科技有限公司,江苏 南京 211106

华中科技大学土木与水利工程学院, 湖北 武汉 430074

短期调度 厂内最优流量分配 动态规划 阿尔塔什水电站

国家自然科学基金

52179016

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(4)
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