汽轮机运行效率评价方法

O. Kolesnikova, Anastasia D. Tsypkaikina, Tamara A. Shiriaeva
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引用次数: 2

摘要

本文研究了一种电厂汽轮机运行模式效率的评价方法。通过将报告期内的发电比热率与参考期内的类似指标进行比较来评估效率,参考期内的比热率通过关键影响参数降至报告期内。该分析方法的一个特点是可靠地考虑了外部影响因素,以获得相容条件下的效率评价。具体而言,这些外部因素包括蒸汽特性、给水特性、汽轮机排热热率特性以及汽轮机冷凝器的清洗方式。在数据聚类的基础上,考虑了凝汽器清洗方式对汽轮机运行方式效率的影响。选择亲和性传播方法进行数据聚类,因为它的特点是可以处理不同大小和形式的聚类。通过对结果进行逐个机组人员分解的效率评估,可以在机组人员(操作人员)之间引入竞争特征,这反过来又将受益于汽轮机运行模式效率的提高。给出了一个基于统计运行数据的电厂汽轮机机组评价实例,根据所考虑的性能指标显示机组中的领先机组。本文对所考虑的方法在电厂自动化能效管理系统中的应用进行了综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method for Evaluating the Steam Turbines Operating Efficiency
The paper considers a method for the evaluation of the power plant steam turbines operating modes efficiency. The efficiency is evaluated by comparing the specific heat rate for power generation in the reporting period with a similar indicator in the reference period reduced to the reporting period by key influencing parameters. A specific feature of the analyzed method is the reliable consideration of external influencing factors for obtaining the efficiency evaluation under compatible conditions. In particular, such external factors include the characteristics of steam, feed water, heat rate for turbine heat extraction and cleaning mode of the turbine condenser. The impact of the condenser cleaning mode on the efficiency of the turbine operating mode is considered based on the data clustering. The Affinity Propagation method has been selected for data clustering, as its special feature is working with the variable sizes and form of clusters. The efficiency evaluation with a crew-by-crew breakdown of the results allows introducing a competitive feature between the crews (operating personnel), which, in turn, will benefit from the improved efficiency of the operating modes of steam turbines. An example of evaluation based on statistical operating data for power plant turbine showing the leader among the crews according to the considered performance indicator is given. The considered method is implemented in the automated power plant energy efficiency management system, which is overviewed in the article.
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