Time structure of the distortion source identification of the electric power quality indicators and hardware and software system for its reduction

Author:

Borodin M. V.1,Vinogradov A. V.2,Bukreev A. V.2,Panfilov A. A.3

Affiliation:

1. Orel State Agrarian University namend after N.V. Parakhina

2. Federal Scientific Agroengineering Center VIM

3. Orel State Agrarian University namend after N.V. Parakhina; Branch of PJSC «Rosseti Center»–«Orelenergo»

Abstract

THE PURPOSE. Investigation of the time structure forthedistortion source identification of the electric power quality and a method for its reduction using of a mobile software and hardware instrumentation system.METHODS. The analysis of the number of complaints regarding low-quality electric power, the structure and values of the time spent on the identification of the distortion sources of the electric power quality indicators (PQI) for the standard values, taking into account all its components, was carried out.RESULTS. It is determined that the number of complaints received by the power grid company regarding lowquality electric powerremains high. At the same time, it takes a long time to identify the distortionsource before putting in place the necessary remedial measures. According to the analyzed data, it can take up to 21 days. The number of cases when the distortion source of the PQI couldn’t be detected within two days was 117 cases of 419 analyzed. The solutions to reduce this time are proposed.CONCLUSIONS. The solutions presented in the article make it possible to reduce the time spent on the source distortion identificationofthe PQI due to the use of a mobile hardware and software instrumentation system (HSIS). A variant of the HSIS structure is proposed, which includes sensors and the HSIS central unit. The proposed HSIS can be used in the absence of external communication channels through the use of data transmitted from the sensors of the system to the central unit using Long Range (LORA) or Wireless Fidelity (Wi-Fi) technologies. In addition, the HSIS provides time synchronization of all the sensors.

Publisher

Kazan State Power Engineering University

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Reference20 articles.

1. Naumov AA. Obespechenie trebuemogo kachestva elektricheskoj energii. Izvestiya vysshih uchebnyh zavedenij. Problemy energetiki. 2020;22(1):85-92.

2. Amerhanov RA, Savenko AV. Monitoring pokazatelej kachestva elektricheskoj energii dlya sel'skohozyajstvennyh obektov. Energosberezhenie i vodopodgotovka. 2018;5(115):32-36.

3. Belikov R.P. Organizacionno-tekhnicheskie i tekhnicheskie meropriyatiya povysheniya kachestva elektroenergii. V sbornike: Fizika i sovremennye tekhnologii v APK. Materialy H Mezhdunarodnoj molodezhnoj konferencii molodyh uchenyh, studentov i shkol'nikov. 2019. pp. 38-41.

4. Loshkarev VI, SHkryl' AM, Mashanov EV. Kachestvo elektricheskoj energii v CHeboksarskih gorodskih elektricheskih setyah. V sbornike: Regional'naya energetika i elektrotekhnika: problemy i resheniya. sbornik nauchnyh trudov. A.YU. Aleksandrov (gl. redaktor). CHeboksary, 2015. pp. 178-185.

5. Gracheva EI, Naumov OV, Fedotov EA. Vliyanie nagruzochnoj sposobnosti silovyh transformatorov na ih ekspluatacionnye harakteristiki. Izvestiya vysshih uchebnyh zavedenij. Problemy energetiki. 2017;19(7-8):71-77.

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