WO2013008246A1 - Système intelligent de surveillance de transformateur - Google Patents

Système intelligent de surveillance de transformateur Download PDF

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Publication number
WO2013008246A1
WO2013008246A1 PCT/IN2011/000577 IN2011000577W WO2013008246A1 WO 2013008246 A1 WO2013008246 A1 WO 2013008246A1 IN 2011000577 W IN2011000577 W IN 2011000577W WO 2013008246 A1 WO2013008246 A1 WO 2013008246A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
transformer
monitoring
relation
server
Prior art date
Application number
PCT/IN2011/000577
Other languages
English (en)
Inventor
David G SANDERS
Original Assignee
Crompton Greaves Limited
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Crompton Greaves Limited filed Critical Crompton Greaves Limited
Publication of WO2013008246A1 publication Critical patent/WO2013008246A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/62—Testing of transformers
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
    • H01F27/00—Details of transformers or inductances, in general
    • H01F27/40—Structural association with built-in electric component, e.g. fuse
    • H01F27/402—Association of measuring or protective means
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2209/00—Arrangements in telecontrol or telemetry systems
    • H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
    • H04Q2209/84—Measuring functions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2209/00—Arrangements in telecontrol or telemetry systems
    • H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
    • H04Q2209/86—Performing a diagnostic of the sensing device

Definitions

  • This invention relates to the field of transformers, information systems, and artificial intelligence based computing systems.
  • this invention relates to an intelligent transformer monitoring system.
  • a transformer is a power electronic device used in applications ranging from home use to industrial use.
  • Power reliability is of critical importance in today's world, since it directly affects production and trade in the industrial world, amongst other things.
  • Power transformers are utilised throughout the electrical power generation, transmission and distribution industry.
  • the equipment such as transformers which form a crucial part of substation and other power industries are expensive.
  • the cost of interruption also turns out to be expensive.
  • Each of the transformers has a plurality of electrical, electronic, mechanical, fluid- based components which collaborate to form its working. Maintenance of the components is a crucial aspect in order to maintain a sustainable environment without glitches and to avoid interruptions which could have cascaded catastrophic effects in and around the power industry environment, depending upon the time for which interruptions occur.
  • An object of the invention is to improve transformer efficiency and reliability.
  • Another object of the invention is to maintain transformer health.
  • Yet another object of the invention is to monitor transformer elements.
  • Still another object of the invention is to merge or collate transformer health data from a plurality of monitoring parameters.
  • An additional object of the invention is to divulge collated transformer health data to a supervisory control and data acquisition system.
  • Another additional object of the invention is to divulge collated transformer health data to a proprietary computational engine.
  • Yet another additional object of the invention is to provide operational data in relation to transformer health condition.
  • Still another additional object of the invention is to provide maintenance data in relation to transformer health condition.
  • an intelligent transformer monitoring system said system comprises:
  • a. plurality of monitoring components adapted to monitor transformer conditions in relation to each of a pre-defined element or parameter of said transformer
  • data merging unit adapted to collate readings from each of said monitoring components, said data merging unit further comprising:
  • computational means adapted to compute and output a first operational data stream in relation to operational data and a second maintenance data stream in relation to maintenance data
  • data logging means adapted for logging data of said transformer's parameters to permit root-cause analysis of alarms for condition based maintenance purposes;
  • supervisory control and data acquisition system adapted to receive said first data stream
  • network means adapted to receive said second data for further relaying to further means for purposes of maintenance scheduling;
  • server means adapted to receive said second data stream, said server being equipped with artificial intelligence in order to process and interpret said second stream data in relation to pre-defined parameters and models in order to obtain predictions of transformer performance parameters and servicing calls in relation to said predicted performance, thereby obtaining a condition based servicing model.
  • said monitoring component includes a plurality of monitoring means selected from a group of monitoring means consisting of but not limited to bushing monitoring means, partial discharge monitoring means, top oil temperature detector monitoring means, load current monitoring means, cooling monitoring means, Dissolved Gas Analysis (single or multi-gas) monitoring means, ambient air temperature detector monitoring means., direct winding fiber optic temperature measurement means, and on-load tap-changer monitoring means.
  • a group of monitoring means consisting of but not limited to bushing monitoring means, partial discharge monitoring means, top oil temperature detector monitoring means, load current monitoring means, cooling monitoring means, Dissolved Gas Analysis (single or multi-gas) monitoring means, ambient air temperature detector monitoring means., direct winding fiber optic temperature measurement means, and on-load tap-changer monitoring means.
  • said computational means includes calculation means to determine calculated winding hotspot temperature, loss of life, calculated early warning for overload conditions, and dynamic loading modelling.
  • said system includes forecasting means adapted to forecast the remaining time until a critical temperature is reached under the current loading conditions of transformer, said prediction based on pre-designed mathematical models and user-input parameters.
  • said system includes a two way communication means between said merging unit and said supervisory control and data acquisition system.
  • said system includes a one way communication means between said merging unit and said network means.
  • said system includes means to permit an operator of said supervisory control and data acquisition system in order to permit adjustment of settings as well as to receive data, said data being used for dynamic loading modeling.
  • said server means includes communication means adapted to communicate predictions of transformer performance parameters and servicing calls to a smart phone, pager or emails to a personal computer.
  • said server means includes communication means adapted to communicate predictions of transformer performance parameters and servicing calls to a website.
  • said server means includes communication means adapted to communicate predictions of transformer performance parameters and servicing calls to a customer support / service centre.
  • said server means includes human assessment means, said human assessment means being human based smart asset group of examiners.
  • Figure 1 illustrates a schematic of the system
  • Figure 2 illustrates a schematic flow diagram of the process of the system of Figure 1.
  • an intelligent transformer monitoring system there is provided an intelligent transformer monitoring system.
  • Figure 1 illustrates a schematic of the system.
  • Figure 2 illustrates a schematic flow diagram of the process of the system of Figure 1.
  • a plurality of monitoring components adapted to monitor transformer condition in relation to each of a pre-defined element of the transformer.
  • the monitoring components are adapted to obtain readings in relation to bushing monitoring (BM), readings in relation to partial discharge (PDM), readings in relation to resistance temperature detector for top oil (ORTDM), readings in relation to load current temperature detector for ambient air (ARTDM).
  • BM bushing monitoring
  • PDM partial discharge
  • ORTDM resistance temperature detector for top oil
  • ARTDM load current temperature detector for ambient air
  • Various known monitoring components or means may be coupled to obtain all of the above-mentioned readings.
  • a data merging unit adapted to receive readings from each of said monitoring components in order to output a first operational data stream (DS1) and a second maintenance data stream (DS2)
  • the merging unit has computational abilities to determine calculated winding hotspot temperature, loss of life, and calculated early warning for overload conditions. This permits critical forecasting to predict the remaining time until a critical temperature is reached under the current loading conditions.
  • the merging unit also has a data logging means (DLM) for logging data of the transformers parameters to permit root-cause analysis of alarms for condition based maintenance purposes.
  • DLM data logging means
  • a supervisory control and data acquisition (SCADA) system adapted to receive said first data stream.
  • SCADA supervisory control and data acquisition
  • This is the operational data for utility. It is a two way exchange of data, permitting an operator of the SCADA system to adjust settings as well as to receive data. This data could be used for dynamic loading modeling.
  • a network means adapted to receive said second data. This completely separate second data stream is the maintenance data.
  • This second data stream is sent to the Internet via a Virtual Private Network (VPN).
  • the VPN uses authentication to deny access to unauthorized users, and encryption to prevent unauthorized users from reading the private network packets.
  • VPN is one of the most secure network connections currently know. It receives the same information as the SCADA operator but has no facility to adjust settings. It is a one way transfer of data. This offers some level of cyber security, in that, the setting adjustment feature will belong to the SCADA operator only.
  • a server means adapted to receive said second data stream.
  • This server is equipped with artificial intelligence in order to process and interpret the second stream data in relation to pre-defined parameters and models.
  • This server is a Smart Asset Group Examiner (SAGE) server.
  • This system will examine the information from an intelligent transformer. It will provide alerts in relation to the transformer condition and utilise artificial intelligence which will make predictions on its performance and make recommendations on servicing.
  • MS manufacturer's service
  • SAGE messaging and data will be available at any time and virtually anywhere through Smart Phone access (SP). It will be monitored 24 hours a day, seven days a week by authorised personnel, to provide the customer, support and expertise in the event of transformer malfunction.
  • the technical advance of this invention lies in the provisioning a data merging unit with computational ability in relation to user-driven parameters, which data merging unit is adapted to provide an output of two data streams, where there is an operational data stream and a completely separate second data stream for maintenance data.
  • data merging unit is adapted to provide an output of two data streams, where there is an operational data stream and a completely separate second data stream for maintenance data.
  • SCADA operator is able to alter settings remotely.
  • This system offers a remote artificial intelligence to interpret the data from the transformer and make recommendations on servicing.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

L'invention porte sur un système intelligent de surveillance de transformateur, qui est équipé d'intelligence artificielle afin de traiter et interpréter lesdites secondes données de courant en relation avec des paramètres et modèles prédéfinis afin d'obtenir des prédictions de paramètres de performance de transformateur, et des appels d'entretien en relation à ladite performance prédite, obtenant ainsi un modèle d'entretien basé sur une condition.
PCT/IN2011/000577 2011-07-13 2011-08-25 Système intelligent de surveillance de transformateur WO2013008246A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN2011/MUM/2011 2011-05-26
IN2011MU2011 2011-07-13

Publications (1)

Publication Number Publication Date
WO2013008246A1 true WO2013008246A1 (fr) 2013-01-17

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IN2011/000577 WO2013008246A1 (fr) 2011-07-13 2011-08-25 Système intelligent de surveillance de transformateur

Country Status (1)

Country Link
WO (1) WO2013008246A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103346564A (zh) * 2013-07-24 2013-10-09 国家电网公司 变电站主变压器跳闸突发事故应急方案智能生成方法
WO2017146877A1 (fr) * 2016-02-03 2017-08-31 General Electric Company Systèmes et procédés de surveillance et de diagnostic de santé de transformateur
CN108051709A (zh) * 2017-11-30 2018-05-18 南京力通达电气技术有限公司 基于人工智能技术的变压器状态在线评估分析方法
CN111245093A (zh) * 2020-01-08 2020-06-05 北京国电通网络技术有限公司 一种中压线-变关系识别方法和系统
US10782360B2 (en) 2015-05-04 2020-09-22 General Electric Company Systems and methods for monitoring and diagnosing transformer health
US11087920B2 (en) 2018-03-30 2021-08-10 General Electric Company System and method for transformer control

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6671635B1 (en) * 2001-02-23 2003-12-30 Power Measurement Ltd. Systems for improved monitoring accuracy of intelligent electronic devices
US20090312881A1 (en) * 2005-06-21 2009-12-17 Venturini Cheim Luiz Americo System and method for centralized monitoring of distributed power transformer
US20110160922A1 (en) * 2009-12-30 2011-06-30 Eduardo Pedrosa Santos Decentralized system and architecture for remote real time monitoring of power transformers, reactors, circuit breakers, instrument transformers, disconnect switches and similar high voltage equipment for power plants and electric power substations

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6671635B1 (en) * 2001-02-23 2003-12-30 Power Measurement Ltd. Systems for improved monitoring accuracy of intelligent electronic devices
US20090312881A1 (en) * 2005-06-21 2009-12-17 Venturini Cheim Luiz Americo System and method for centralized monitoring of distributed power transformer
US20110160922A1 (en) * 2009-12-30 2011-06-30 Eduardo Pedrosa Santos Decentralized system and architecture for remote real time monitoring of power transformers, reactors, circuit breakers, instrument transformers, disconnect switches and similar high voltage equipment for power plants and electric power substations

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103346564A (zh) * 2013-07-24 2013-10-09 国家电网公司 变电站主变压器跳闸突发事故应急方案智能生成方法
US10782360B2 (en) 2015-05-04 2020-09-22 General Electric Company Systems and methods for monitoring and diagnosing transformer health
WO2017146877A1 (fr) * 2016-02-03 2017-08-31 General Electric Company Systèmes et procédés de surveillance et de diagnostic de santé de transformateur
CN108603907A (zh) * 2016-02-03 2018-09-28 通用电气公司 用于监测和诊断变压器健康的系统和方法
CN108051709A (zh) * 2017-11-30 2018-05-18 南京力通达电气技术有限公司 基于人工智能技术的变压器状态在线评估分析方法
US11087920B2 (en) 2018-03-30 2021-08-10 General Electric Company System and method for transformer control
CN111245093A (zh) * 2020-01-08 2020-06-05 北京国电通网络技术有限公司 一种中压线-变关系识别方法和系统

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