Development of a Software Module of Intra-Plant Optimization for Short-Term Forecasting of Hydropower Plant Operating Conditions

S. Mitrofanov, A. Svetlichnaya, A. Arestova, A. Rusina
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Abstract

The paper deals with the problem of optimizing the unit commitment and loading of hydro units at a hydropower plant. The optimal operating conditions of the hydropower plant equipment will ensure the required power quality in the peak area of the load schedule and increase the efficiency of the power plant. The problem of uneven loading of hydro units is relevant because of differences in equipment parameters, flow characteristics or uneven physical wear of hydropower plant elements. To improve the quality of optimization, it is required to verify the hydro unit parameters and their flow characteristics. The paper analyzes the methods of intra-plant optimization of unit commitment and presents the main optimization criteria, operational and technological constraints. The authors also propose an optimization algorithm and its software implementation using Matlab software. The algorithm was verified using the Sayano-Shushensky hydropower complex that includes two plants in a cascade. The software module provides three options for calculating the optimal unit commitment and loading of hydro units: optimization of instantaneous values, optimization on a daily interval, and optimization on a daily interval with the constraint on the number of start-stop operations.
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水电站运行工况短期预测的厂内优化软件模块开发
本文研究了某水电站水力发电机组机组负荷优化问题。水电厂设备的最优运行状态将保证负荷调度峰区所需的电能质量,提高电厂的运行效率。由于设备参数、流量特性的差异或水电厂元件物理磨损的不均匀,水电厂机组负荷不均匀的问题是相关的。为了提高优化质量,需要对水力发电机组参数及其流动特性进行验证。分析了机组运行状态的厂内优化方法,提出了主要的优化准则、操作约束和技术约束。作者还提出了一种优化算法,并利用Matlab软件进行了软件实现。该算法通过萨亚诺-舒申斯基水电站进行了验证,该水电站包括两个级联电站。软件模块提供了三种选择,用于计算水电机组的最佳机组承诺和负荷:瞬时值优化、日间隔优化和带启停次数约束的日间隔优化。
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