Development of an algorithm of implementation of programs of repair of steam boilers and turbines of TPPs based on technical condition of power equipment

Author:

Baidakova N. V.1,Afonin A. V.1,Blagochinnov A. V.1

Affiliation:

1. Branch of "NIU" MPEI”

Abstract

Deterioration and aging of the technical fleet of thermal power facilities lead to an unpredictable shutdowns of power equipment. Therefore, it is necessary to create a special approach in maintenance and repair programs, taking into account the possibility of predicting the moment of onset of the defect, its development, as well as the time of possible equipment failure. The equipment maintenance system used at the enterprises is based on the collection of retrospective data on defects and failures on the main and auxiliary equipment of the TPP and summarizing statistics on identical or similar equipment samples. Analysis of domestic and foreign methods of maintenance and organization of repair, as well as possibility of their application in modern power engineering is given. In order to create an efficient production asset management system, which addresses the problem of finding a balance between the potential risk of losses associated with both the operation of equipment and the cost of correcting defects, new class systems are now used in the software market, which carry out equipment maintenance based on the forecast. In order to optimize the equipment maintenance system and ensure uninterrupted and reliable operation of the equipment at minimum operating costs, as well as to reduce equipment downtime, unscheduled and emergency operations, it is advisable to use a modern approach to manage both reliability and risk, as well as the cost of asset ownership. This will enable to control the economic efficiency of the use of production assets. The necessity of creation of an algorithm of implementation of repair programs of power equipment base on technical condition for its use in digital power systems is shown. An algorithm is proposed for implementing the repair program of power units of electric power plants, including steam boilers and turbines of thermal power plants, differing by taking into account the technical condition of power equipment, which allows recognizing the defect that has appeared, determining the cause of its occurrence, its evolution and the duration of possible equipment failure. In the developed repair maintenance algorithm, it is proposed to make a transition from statistical empirical assessments of the technical condition of the equipment to objective estimates obtained on the basis of automated technical diagnostics systems and predictive analysis of situations.

Publisher

NPO Energobezopasnost

Reference8 articles.

1. Sultanov M. M., Baidakova N. V., Afonin A. V. Analysis of the technical condition of the equipment of generating systems. In the collection: Alternative and intelligent energy. Proceedings of the II International Scientific and Practical Conference 2020: 16 – 17. (In Russ.)

2. Kosinov Yu. P., Romanov A. A., Trofimov Yu. V. (OJSC TsKB Energoremont, OJSC RAO EESRossiya). Improvement of repair of power equipment to ensure its reliable operation outside the park resource and service life. http://www.combienergy.ru/stat/691-Sovershenstvovanie-remonta-energeticheskogo-oborudovaniya (In Russ.)

3. Grabchak E. P. Assessment of technical condition of power equipment in digital economy. Safety and reliability of the electric power industry. 2017; 10(4): 268 – 274. https://doi.org/10.24223/1999-5555-2017-10-4-268-274 (In Russ.)

4. Kuryanov V. N., Sultanov M. M., Kuryanova E. V. and Skopova E. M. Mathematical model of the processes of restoration of power equipment in power systems by criterion of the index of technical condition. Journal of Physics: Conference Series 1683 (2020) 042041. (In Eng.)

5. Intelligent diagnostics and predictive analysis – the basis of digital energy https://integral-russia.ru/2017/10/06/intellektualnayadiagnostika-i-prediktivnyj-analiz-osnova-tsifrovoj-energetiki (In Russ.)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3