CN115598581A - Current transformer fault detection method, equipment and medium of energy storage system - Google Patents

Current transformer fault detection method, equipment and medium of energy storage system Download PDF

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Publication number
CN115598581A
CN115598581A CN202211496190.1A CN202211496190A CN115598581A CN 115598581 A CN115598581 A CN 115598581A CN 202211496190 A CN202211496190 A CN 202211496190A CN 115598581 A CN115598581 A CN 115598581A
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China
Prior art keywords
connection
state
flag
mark
tuning
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CN202211496190.1A
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CN115598581B (en
Inventor
王瑞生
石发成
沈仕强
李白龙
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Jiangsu Ascite Energy Technology Co ltd
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Jiangsu Ashite Energy Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00Testing or calibrating of apparatus covered by the other groups of this subclass
    • G01R35/02Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00Integration of renewable energy sources in buildings
    • Y02B10/10Photovoltaic [PV]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Inverter Devices (AREA)

Abstract

The invention relates to the application field of a current transformer, in particular to a fault detection method, equipment and medium of the current transformer of an energy storage system, which comprises the following steps of judging a CT initial state mark; based on the non-disconnection state in the step S1, carrying out CT bias voltage sampling; judging a CT connection sign based on the sampling result in the step S2; based on the step S3, judging a CT initial tuning state mark; detecting the CT direction based on the CT in the step S4 being in the untuned state; based on the direction detection result in the step S5, giving out fault information; the steps S1 to S6 are repeated in real time, and the method can detect whether the current transformer has a fault in real time, avoid the power flow of the inverter from being not assumed by a user, and realize the maximization of anti-reflux or spontaneous self-use.

Description

Current transformer fault detection method, equipment and medium of energy storage system
Technical Field
The invention relates to the field of application of current transformers, in particular to a method, equipment and medium for detecting faults of a current transformer of an energy storage system.
Background
As shown in fig. 1, in the pv storage inverter system, in order to maximize the pv utilization, i.e. pv power generation, the pv power is preferentially provided to the household load, and excess energy is charged to the battery, and if there is excess energy, the excess energy is fed to the grid.
However, for some countries, photovoltaic energy is not allowed to be fed into the power grid, and only can be used for home loads, and at this time, in order to detect whether there is a situation that photovoltaic energy is fed into the power grid and identify the home load power of a user, as shown in fig. 1, a Current Transformer (CT) needs to be installed, and a sample of the current transformer is connected to an inverter for control.
However, the sampling line of the current transformer may be disconnected midway, or a maintenance person may replace the current transformer without shutting down the inverter, so that the backflow prevention or the spontaneous self-use maximization cannot be realized, and the user cannot know that the current transformer is disconnected and operates for a long time, so that the inverter power flows to a non-user assumption.
Disclosure of Invention
The invention aims to provide a method, equipment and medium for detecting faults of a current transformer of an energy storage system, which are used for detecting whether the current transformer has faults or not in time, avoiding the assumption that the power flow of an inverter is not the user, and realizing the maximization of anti-reflux or spontaneous self-use.
In order to realize the purpose, the invention provides the following technical scheme:
in a first aspect, the invention provides a fault detection method for a current transformer of an energy storage system, which is characterized by comprising the following steps,
s1, judging a CT initial state mark;
s2, based on the condition that the circuit is not disconnected in the step S1, carrying out CT bias voltage sampling;
s3, judging a CT connection sign based on the sampling result in the step S2;
s4, judging a CT initial tuning state mark based on the step S3;
s5, detecting the CT direction based on the CT in the step S4 as the untuned state;
s6, based on the direction detection result in the step S5, giving out information about whether a fault exists;
the steps S1 to S6 are repeated in real time.
Preferably, in step S1, the CT state at the end of the previous round of detection is the initial CT state in the current round of detection, and if the initial CT state is the off state, the CT off fault is set, the machine is stopped, and after maintenance personnel perform maintenance, the real-time detection is repeated again.
Preferably, in step S2, the CT bias voltage sampling is: and accumulating the CT bias voltage collected by the inverter within 0.1S.
Further, in the step S3,
s31, if the bias voltage is not sampled, clearing a CT connection flag;
and S32, if the bias voltage is sampled, setting a CT connection mark.
Further, when the CT connection flag is cleared, the step of judging the CT initial tuning state flag is as follows,
s311, when the tuning is not well performed, setting a CT tuning state flag to be not well tuned, and setting a CT disconnection state flag;
storing the CT tuning state mark, the CT disconnection state mark and the CT connection mark parameters to Flash, restarting the machine, and performing a new round of real-time detection;
s312, when tuning is good, setting a CT tuning state flag to be untuned, and setting a CT disconnection state flag;
and storing the CT tuning state mark, the CT disconnection state mark and the CT connection mark parameters to Flash, restarting the machine, and performing a new round of real-time detection.
Furthermore, when the CT connection flag is set, the step of judging the CT initial tuning state flag is as follows,
s321, when tuning is good, setting a CT tuning state flag, and setting a CT connection state flag;
storing the CT tuning state mark, the CT connection state mark and the CT connection mark parameters to Flash, restarting the machine, and performing a new round of real-time detection;
and S322, when the tuning is not well done, CT direction detection is carried out.
Furthermore, the CT direction detection comprises the specific steps of,
s51, detecting whether the CT direction is known or not, wherein a known method is adopted for detecting the CT direction;
s52, based on the step S51, if the detection direction is known, setting a CT tuning state mark and setting a CT connection state mark, storing the CT tuning state mark, the CT connection state mark and the CT connection mark parameters to Flash, restarting the machine, and performing a new round of real-time detection;
s52, based on the step S52, if the detection direction is unknown, CT direction detection failure counting is carried out, when the CT detection failure counting is larger than two, the CT direction detection failure fault is set, the machine is stopped, the machine is checked and restarted by the maintenance personnel, and a new round of real-time detection is carried out.
In a second aspect, the present invention provides an electronic device, comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
In a third aspect, the present invention provides a computer-readable storage medium, characterized in that: the computer readable storage medium stores computer instructions for causing a processor, when executed, to implement the method of any of claims 1-7.
The invention has the beneficial effects that: whether the current transformer breaks down or not is detected in real time, and when the CT is disconnected, maintenance personnel can immediately judge and check the reason, and can enter CT self-checking again after the CT is reconnected, so that the situation that the power flow of the inverter flows to a non-user is avoided, and a user is helped to achieve the maximization of anti-countercurrent or spontaneous self-use.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a prior art energy storage system module;
fig. 2 is a flow chart of the present invention.
Detailed Description
Example 1
As shown in fig. 2, the present invention provides a method for detecting a fault of a current transformer of an energy storage system, comprising the following steps,
s1, judging a CT initial state mark, setting a CT disconnection fault if the CT state is the CT initial state in the current round of detection when the previous round of detection is finished, stopping the machine, and repeating the steps S1 to S6 again to perform real-time detection after maintenance personnel maintain.
S2, based on the non-disconnection state in the step S1, carrying out CT bias voltage sampling, wherein the CT bias voltage sampling is as follows: and accumulating the CT bias voltage collected by the inverter within 0.1S.
And S3, judging the CT connection mark based on the sampling result in the step S2.
And S31, if the bias voltage is not sampled, clearing the CT connection flag.
And S32, if the bias voltage is sampled, setting a CT connection flag.
And S4, judging the CT initial tuning state mark based on the step S3.
And S5, detecting the CT direction based on the CT in the step S4 which is in the untuned state.
And S6, based on the direction detection result in the step S5, giving out whether the fault information exists or not.
Steps S1 to S6 are repeated in real time.
In this embodiment, when the CT connection flag is cleared, the step of determining the CT initial tuning status flag is as follows,
and S311, when the tuning is not well performed, setting a CT tuning state flag to be not well tuned, and setting a CT disconnection state flag.
And (5) storing the CT tuning state mark, the CT disconnection state mark and the CT connection mark parameters to Flash, restarting the machine, and repeating the steps from S1 to S6 to perform a new round of real-time detection.
S312, when the tuning is good, the CT tuning state flag is not tuned well, and the CT disconnection state flag is set.
And (5) storing the CT tuning state mark, the CT disconnection state mark and the CT connection mark parameters to Flash, restarting the machine, and repeating the steps from S1 to S6 to perform a new round of real-time detection.
In this embodiment, when the CT connection flag is set, the step of determining the CT initial tuning state flag is as follows,
and S321, setting a CT tuning state flag and setting a CT connection state flag when tuning is good.
And (4) storing the CT tuning state mark, the CT connection state mark and the CT connection mark parameters to Flash, restarting the machine, and repeating the steps from S1 to S6 to perform a new round of real-time detection.
And S322, when the tuning is not well performed, CT direction detection is performed.
In this embodiment, the CT direction detection specifically comprises the steps of,
s51, detecting whether the CT direction is known or not, wherein the known method is adopted for detecting the CT direction.
S52, based on the step S51, if the detection direction is known, setting the CT tuning state flag and the CT connection state flag, storing the CT tuning state flag, the CT connection state flag and the CT connection flag parameters to Flash, restarting the machine, and repeating the steps S1 to S6 to perform a new round of real-time detection.
S52, based on the step S52, if the detection direction is unknown, CT direction detection failure counting is carried out, when the CT detection failure counting is larger than two, the CT direction detection failure fault is set, the machine is stopped, the machine is checked and restarted by the maintenance personnel, and the steps S1 to S6 are repeated to carry out a new round of real-time detection.
Example 2
The present invention provides an electronic device, characterized in that the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
Example 3
The present invention provides a computer-readable storage medium characterized in that: a computer readable storage medium stores computer instructions for causing a processor, when executed, to implement the method of any one of claims 1-7.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. A fault detection method for a current transformer of an energy storage system is characterized by comprising the following steps:
s1, judging a CT initial state mark;
s2, based on the condition that the step S1 is in an uninterrupted state, carrying out CT bias voltage sampling;
s3, judging a CT connection mark based on the sampling result in the step S2, if the bias voltage is not sampled, resetting the CT connection mark, and if the bias voltage is sampled, setting the CT connection mark;
s4, based on the step S3, judging a CT initial tuning state mark, wherein:
when the CT connection flag is cleared in the step S3, the step of judging the CT initial tuning state flag is as follows: when not tuned, the CT tuning state flag is not tuned, the CT disconnection state flag is set, the CT tuning state flag, the CT disconnection state flag and the CT connection flag parameters are stored in Flash, and the machine is restarted; when the tuning is good, the CT tuning state flag is not tuned, the CT disconnection state flag is set, the CT tuning state flag, the CT disconnection state flag and the CT connection flag parameters are stored in Flash, and the machine is restarted;
when the CT connection flag is set in step S3, the step of determining the CT initial tuning state flag is as follows: when the tuning is good, setting a CT tuning state mark, setting a CT connection state mark, storing the CT tuning state mark, the CT connection state mark and the CT connection mark parameters to Flash, and restarting the machine;
s5, based on the CT connection flag set in the step S4 and the CT is in an untuned state, CT direction detection is carried out;
s6, based on the direction detection result in the step S5, giving out fault information;
the steps S1 to S6 are repeated in real time.
2. The fault detection method for the current transformer of the energy storage system according to claim 1, wherein: in the step S1, the CT state at the end of the previous round of detection is the CT initial state in the current round of detection, and if the initial state is the off state, the CT off fault is set, and the machine is stopped.
3. The fault detection method for the current transformer of the energy storage system according to claim 1, wherein: in step S2, the CT bias voltage sampling is: and accumulating the CT bias voltage collected by the inverter within 0.1S.
4. The fault detection method for the current transformer of the energy storage system according to claim 1, wherein: the CT direction detection comprises the specific steps of,
s51, detecting whether the CT direction is known;
s52, based on the step S51, if the detection direction is known, setting a CT tuning state flag, setting a CT connection state flag, storing the CT tuning state flag, the CT connection state flag and CT connection flag parameters to Flash, and restarting the machine;
s52, based on the step S52, if the detection direction is unknown, CT direction detection failure counting is carried out, when the CT detection failure counting is larger than two, a CT direction detection failure fault is set, the machine is stopped, and the machine is checked and restarted by the maintenance personnel.
5. An electronic device, characterized in that the electronic device comprises:
at least one processor;
and a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.
6. A computer-readable storage medium characterized by: the computer readable storage medium stores computer instructions for causing a processor, when executed, to implement the method of any of claims 1-4.
CN202211496190.1A 2022-11-28 2022-11-28 Current transformer fault detection method, equipment and medium of energy storage system Active CN115598581B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117075027A (en) * 2023-10-16 2023-11-17 江苏纳通能源技术有限公司 CT transformer fault identification method and identification system thereof

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009150672A (en) * 2007-12-19 2009-07-09 Rigaku Corp X-ray analyzer
US20090256576A1 (en) * 2002-08-08 2009-10-15 Weems Ii Warren A Apparatus and method for ground fault detection and location in electrical systems
CN106383292A (en) * 2016-10-09 2017-02-08 中国电力科学研究院 Current transformer disconnection judgment method based on fault escape
CN107547085A (en) * 2016-06-28 2018-01-05 英特尔Ip公司 Scaled for the bias voltage based on frequency of phaselocked loop
CN110045313A (en) * 2019-03-19 2019-07-23 江苏固德威电源科技股份有限公司 Three-phase energy-storage system ammeter current transformer connecting detection method
CN111751766A (en) * 2020-06-28 2020-10-09 深圳供电局有限公司 Main transformer bushing current transformer polarity detection method
CN112462303A (en) * 2021-01-28 2021-03-09 浙江艾罗网络能源技术股份有限公司 Connection identification detection method of power grid current sensor
CN113659619A (en) * 2021-08-04 2021-11-16 江苏阿诗特能源科技有限公司 Energy storage system and current detection module self-identification method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090256576A1 (en) * 2002-08-08 2009-10-15 Weems Ii Warren A Apparatus and method for ground fault detection and location in electrical systems
JP2009150672A (en) * 2007-12-19 2009-07-09 Rigaku Corp X-ray analyzer
CN107547085A (en) * 2016-06-28 2018-01-05 英特尔Ip公司 Scaled for the bias voltage based on frequency of phaselocked loop
CN106383292A (en) * 2016-10-09 2017-02-08 中国电力科学研究院 Current transformer disconnection judgment method based on fault escape
CN110045313A (en) * 2019-03-19 2019-07-23 江苏固德威电源科技股份有限公司 Three-phase energy-storage system ammeter current transformer connecting detection method
CN111751766A (en) * 2020-06-28 2020-10-09 深圳供电局有限公司 Main transformer bushing current transformer polarity detection method
CN112462303A (en) * 2021-01-28 2021-03-09 浙江艾罗网络能源技术股份有限公司 Connection identification detection method of power grid current sensor
CN113659619A (en) * 2021-08-04 2021-11-16 江苏阿诗特能源科技有限公司 Energy storage system and current detection module self-identification method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
宋桂娥 等: "CT断线判据在母线保护中的应用分析", 《电工技术》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117075027A (en) * 2023-10-16 2023-11-17 江苏纳通能源技术有限公司 CT transformer fault identification method and identification system thereof
CN117075027B (en) * 2023-10-16 2024-01-26 江苏纳通能源技术有限公司 CT transformer fault identification method and identification system thereof

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Address after: No. 18, Ruipu Road, Suzhou Industrial Park, Suzhou City, Jiangsu Province, 215000

Patentee after: Jiangsu Ascite Energy Technology Co.,Ltd.

Address before: No. 18, Ruipu Road, Suzhou Industrial Park, Suzhou Area, China (Jiangsu) Pilot Free Trade Zone, Suzhou City, Jiangsu Province, 215000

Patentee before: JIANGSU ASHITE ENERGY TECHNOLOGY Co.,Ltd.