CN109212379A - A kind of smart electric grid system - Google Patents

A kind of smart electric grid system Download PDF

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Publication number
CN109212379A
CN109212379A CN201811204802.9A CN201811204802A CN109212379A CN 109212379 A CN109212379 A CN 109212379A CN 201811204802 A CN201811204802 A CN 201811204802A CN 109212379 A CN109212379 A CN 109212379A
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China
Prior art keywords
transformer
evaluation factor
indication
factor
subelement
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CN201811204802.9A
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不公告发明人
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Shenzhen Mei Te You Technology Co Ltd
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Shenzhen Mei Te You Technology Co Ltd
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Priority to CN201811204802.9A priority Critical patent/CN109212379A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/086Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/62Testing of transformers

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

Abstract

The present invention provides a kind of smart electric grid systems, including transmission line of electricity, transformer, monitoring system and control master station, the monitoring system includes current monitoring subsystem and transformer monitoring subsystem, the current monitoring subsystem is used to monitor the current value in the transmission line of electricity by current sensor, the transformer monitoring subsystem is for being monitored transformer, and the control master station is for controlling the transmission line of electricity and transformer according to current value and transformer monitoring result.The invention has the benefit that providing a kind of smart electric grid system, effective monitoring and control of transmission line of electricity and transformer is realized.

Description

A kind of smart electric grid system
Technical field
The present invention relates to intelligent power grid technology fields, and in particular to a kind of smart electric grid system.
Background technique
The safe and stable operation of power transmission and transforming equipment is the importance and strong smart grid of power system security Important component.Repair based on condition of component is implemented to power transmission and transforming equipment, is the effective measures and important means for guaranteeing electric power netting safe running. Repair based on condition of component by monitor on-line and live detection technology based on, in real time or periodically pass through on-line monitoring or live detection means The information content of characterization equipment state is obtained, in conjunction with data informations such as historical record and preventive trials, detection device whether there is Abnormal conditions assess equipment integrality, and carry out specific aim maintenance to equipment according to result.Transformer is in power grid One of most important, most expensive power transmission and transformation transformer may cause huge transformer loss of assets and stop if it breaks down Electric loss, generating severe change will affect.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of smart electric grid system.
The purpose of the present invention is realized using following technical scheme:
Provide a kind of smart electric grid system, including transmission line of electricity, transformer, monitoring system and control master station, the prison Examining system includes current monitoring subsystem and transformer monitoring subsystem, and the current monitoring subsystem is for passing through current sense Device monitors the current value in the transmission line of electricity, and the transformer monitoring subsystem is for being monitored transformer, the control Master station processed is for controlling the transmission line of electricity and transformer according to current value and transformer monitoring result.
The invention has the benefit that provide a kind of smart electric grid system, realize transmission line of electricity and transformer has Effect is monitored and controlled.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings Other attached drawings.
Fig. 1 is structural schematic diagram of the invention;
Appended drawing reference:
Transmission line of electricity 1, transformer 2, monitoring system 3, control master station 4.
Specific embodiment
The invention will be further described with the following Examples.
First preferred embodiment:
Referring to Fig. 1, a kind of smart electric grid system of the present embodiment, including transmission line of electricity 1, transformer 2, monitoring 3 and of system Master station 4 is controlled, the monitoring system 3 includes current monitoring subsystem and transformer monitoring subsystem, the current monitoring subsystem For monitoring the current value in the transmission line of electricity 1 by current sensor, the transformer monitoring subsystem is used for change system Depressor 2 is monitored, and the control master station 4 is used for according to current value and transformer monitoring result to the transmission line of electricity 1 and change Depressor 2 is controlled.
A kind of smart electric grid system is present embodiments provided, the effective monitoring and control of transmission line of electricity and transformer are realized System.
Preferably, the transformer monitoring subsystem 1 includes single treatment unit, secondary treatment unit, processing is single three times Member and four processing units, the single treatment unit reflect the physical quantity or chemistry of transformer state using sensor acquisition Amount, and be converted to electric signal and be sent to secondary treatment unit, the secondary treatment unit is used for the telecommunications that receiving sensor transmits Number, signal amplitude is adjusted and interference signal is inhibited then to adopt signal progress digital-to-analogue conversion completion data Collection, and the data of acquisition are sent to processing unit three times, the processing unit three times is according to the collected data to transformer State is assessed, and four processing units are monitored transformer according to condition evaluation results.
This preferred embodiment transformer monitoring subsystem realizes transformation by the way that transformer data are acquired and are handled The status assessment of device further according to the condition evaluation results of transformer, realizes the monitoring of transformer.
Preferably, the sensor is embedded in inside transformer or is mounted on transformer case surface, the number of the acquisition Processing unit three times is sent to according to by wired or wireless transmission network.
The processing unit three times includes single treatment subelement, secondary treatment subelement, handles subelement and four three times Secondary processing subelement, the single treatment subelement are used to obtain the first evaluation factor of transformer, and secondary treatment is single Member for obtaining the second evaluation factor of transformer, the subelement of processing three times be used to obtain the third assessment of transformer because Son, four processing subelements are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to transformer State is assessed;
The single treatment subelement is used to obtain the first evaluation factor of transformer, specifically in the following ways:
First evaluation factor of transformer calculates according to the following formula: In above formula, QK1First evaluation factor of indication transformer, b1Indication transformer oil dissolved gas hydrogen content, b2Indicate transformation Device oil dissolved gas acetylene content, b3The absolute gas production rate of indication transformer oil dissolved gas carbon monoxide;The transformation A possibility that first evaluation factor of device is bigger, and indication transformer oil insulation system breaks down is bigger;
The secondary treatment subelement is used to obtain the second evaluation factor of transformer, specifically in the following ways:
Second evaluation factor of transformer calculates according to the following formula:In above formula, QK2 Second evaluation factor of indication transformer, c1Indication transformer steel core current, c2Indication transformer winding D.C. resistance is uneven Rate, c3Indication transformer winding absorptance, c4Indication transformer winding dielectric loss;Second evaluation factor of the transformer is bigger, table Show that a possibility that transformer winding breaks down is bigger;
The subelement of processing three times is used to obtain the third evaluation factor of transformer, specifically in the following ways:
The third evaluation factor of transformer calculates according to the following formula:In above formula, QK3It indicates The third evaluation factor of transformer, d1Indication transformer insulation oil temperature, d2Indication transformer insulating oil pH value, d3It indicates to become Depressor insulating oil breakdown voltage;The third evaluation factor of the transformer is bigger, and what indication transformer insulating oil broke down can Energy property is bigger;
Four processing subelements are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to change Depressor state is assessed, specifically in the following ways:
The Transformer State Assessment factor calculates according to the following formula: FN=μ1QK12QK23QK3, in above formula, FN indicates transformation The device status assessment factor, μ1、μ2、μ3Indicate QK1、QK2、QK3Corresponding weight factor, μ123=1;The transformer state A possibility that evaluation factor is bigger, and indication transformer breaks down is bigger.
Processing unit realizes accurately handling and generate transformer state and comment for transformer data to this preferred embodiment three times Estimate factor pair transformer state to be assessed, specifically, having fully considered that influence transformer oil insulate in data handling procedure The parameters of structure, transformer winding and transformer insulation oil facilitate the subsequent accurate measurements realized to transformer.
Preferably, the weighted value of each evaluation factor determines in the following ways:
Assuming that having m kind subjective weights method and n kind Objective Weighting to carry out tax power to index, every kind of tax power method is all full FootL is evaluation factor number;Assuming that optimal weights are [w1, w2..., wl], evaluation factor is calculated using following formula Optimal weights:In above formula, AY (wk) indicate K-th of evaluation factor weighting function, wkIndicate k-th of evaluation factor optimal weights, 0≤wk≤ 1, k ∈ { 1,2 ..., l }, wikTable Show k-th of evaluation factor weight that i-th kind of subjective weights method obtains, wpkIt indicates k-th that pth kind Objective Weighting obtains Evaluation factor weight;
The optimal weights that four processing units of this preferred embodiment propose a kind of subjective and objective weight determine method, realize The optimization Weight Acquisition of each evaluation factor of transformer.
Preferably, four processing units are monitored transformer according to condition evaluation results, specifically using following Mode: setting Transformer State Assessment factor threshold Z0, as Transformer State Assessment factor FN >=Z0When, transformer is examined It repairs.
Four processing units of this preferred embodiment realize effective monitoring of transformer state, by setting transformer state Evaluation factor threshold value Z0, convenient for being overhauled in time to transformer.
Second preferred embodiment:
Referring to Fig. 1, a kind of smart electric grid system of the present embodiment, including transmission line of electricity 1, transformer 2, monitoring 3 and of system Master station 4 is controlled, the monitoring system 3 includes current monitoring subsystem and transformer monitoring subsystem, the current monitoring subsystem For monitoring the current value in the transmission line of electricity 1 by current sensor, the transformer monitoring subsystem is used for change system Depressor 2 is monitored, and the control master station 4 is used for according to current value and transformer monitoring result to the transmission line of electricity 1 and change Depressor 2 is controlled.
A kind of smart electric grid system is present embodiments provided, the effective monitoring and control of transmission line of electricity and transformer are realized System.
Preferably, the transformer monitoring subsystem 1 includes single treatment unit, secondary treatment unit, processing is single three times Member and four processing units, the single treatment unit reflect the physical quantity or chemistry of transformer state using sensor acquisition Amount, and be converted to electric signal and be sent to secondary treatment unit, the secondary treatment unit is used for the telecommunications that receiving sensor transmits Number, signal amplitude is adjusted and interference signal is inhibited then to adopt signal progress digital-to-analogue conversion completion data Collection, and the data of acquisition are sent to processing unit three times, the processing unit three times is according to the collected data to transformer State is assessed, and four processing units are monitored transformer according to condition evaluation results.
This preferred embodiment transformer monitoring subsystem realizes transformation by the way that transformer data are acquired and are handled The status assessment of device further according to the condition evaluation results of transformer, realizes the monitoring of transformer.
Preferably, the sensor is embedded in inside transformer or is mounted on transformer case surface, the number of the acquisition Processing unit three times is sent to according to by wired or wireless transmission network.
The processing unit three times includes single treatment subelement, secondary treatment subelement, handles subelement and four three times Secondary processing subelement, the single treatment subelement are used to obtain the first evaluation factor of transformer, and secondary treatment is single Member for obtaining the second evaluation factor of transformer, the subelement of processing three times be used to obtain the third assessment of transformer because Son, four processing subelements are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to transformer State is assessed;
The single treatment subelement is used to obtain the first evaluation factor of transformer, specifically in the following ways:
First evaluation factor of transformer calculates according to the following formula: In above formula, QK1First evaluation factor of indication transformer, b1Indication transformer oil dissolved gas hydrogen content, b2Indicate transformation Device oil dissolved gas acetylene content, b3The absolute gas production rate of indication transformer oil dissolved gas carbon monoxide;The transformation A possibility that first evaluation factor of device is bigger, and indication transformer oil insulation system breaks down is bigger;
The secondary treatment subelement is used to obtain the second evaluation factor of transformer, specifically in the following ways:
Second evaluation factor of transformer calculates according to the following formula:In above formula, QK2 Second evaluation factor of indication transformer, c1Indication transformer steel core current, c2Indication transformer winding D.C. resistance is uneven Rate, c3Indication transformer winding absorptance, c4Indication transformer winding dielectric loss;Second evaluation factor of the transformer is bigger, table Show that a possibility that transformer winding breaks down is bigger;
The subelement of processing three times is used to obtain the third evaluation factor of transformer, specifically in the following ways:
The third evaluation factor of transformer calculates according to the following formula:In above formula, QK3It indicates The third evaluation factor of transformer, d1Indication transformer insulation oil temperature, d2Indication transformer insulating oil pH value, d3It indicates to become Depressor insulating oil breakdown voltage;The third evaluation factor of the transformer is bigger, and what indication transformer insulating oil broke down can Energy property is bigger;
Four processing subelements are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to change Depressor state is assessed, specifically in the following ways:
The Transformer State Assessment factor calculates according to the following formula: FN=μ1QK12QK23QK3, in above formula, FN indicates transformation The device status assessment factor, μ1、μ2、μ3Indicate QK1、QK2、QK3Corresponding weight factor, μ123=1;The transformer state A possibility that evaluation factor is bigger, and indication transformer breaks down is bigger.
Processing unit realizes accurately handling and generate transformer state and comment for transformer data to this preferred embodiment three times Estimate factor pair transformer state to be assessed, specifically, having fully considered that influence transformer oil insulate in data handling procedure The parameters of structure, transformer winding and transformer insulation oil facilitate the subsequent accurate measurements realized to transformer.
Preferably, the weighted value of each evaluation factor determines in the following ways:
Assuming that having m kind subjective weights method and n kind Objective Weighting to carry out tax power to index, every kind of tax power method is all full FootL is evaluation factor number;Assuming that optimal weights are [w1, w2..., wl], evaluation factor is calculated using following formula Optimal weights:In above formula, AY (wk) indicate K-th of evaluation factor weighting function, wkIndicate k-th of evaluation factor optimal weights, 0≤wk≤ 1, k ∈ { 1,2 ..., l }, wikTable Show k-th of evaluation factor weight that i-th kind of subjective weights method obtains, wpkIt indicates k-th that pth kind Objective Weighting obtains Evaluation factor weight;
The optimal weights that four processing units of this preferred embodiment propose a kind of subjective and objective weight determine method, realize The optimization Weight Acquisition of each evaluation factor of transformer.
Preferably, four processing units are monitored transformer according to condition evaluation results, specifically using following Mode: setting Transformer State Assessment factor threshold Z0, as Transformer State Assessment factor FN >=Z0When, transformer is examined It repairs.
Four processing units of this preferred embodiment realize effective monitoring of transformer state, by setting transformer state Evaluation factor threshold value Z0, convenient for being overhauled in time to transformer.
Power network monitoring is carried out using smart electric grid system of the present invention, 5 smart grids is chosen and is tested, respectively intelligently Power grid 1, smart grid 2, smart grid 3, smart grid 4, smart grid 5, count monitoring accuracy and monitoring cost, Compared with the existing technology, generation has the beneficial effect that shown in table:
Monitoring accuracy improves Monitoring cost reduces
Smart grid 1 29% 27%
Smart grid 2 27% 26%
Smart grid 3 26% 26%
Smart grid 4 25% 24%
Smart grid 5 24% 22%
Through the above description of the embodiments, those skilled in the art can be understood that it should be appreciated that can To realize the embodiments described herein with hardware, software, firmware, middleware, code or its any appropriate combination.For hardware It realizes, processor can be realized in one or more the following units: specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processing Device, controller, microcontroller, microprocessor, other electronic units designed for realizing functions described herein or combinations thereof. For software implementations, some or all of embodiment process can instruct relevant hardware to complete by computer program. When realization, above procedure can be stored in computer-readable medium or as the one or more on computer-readable medium Instruction or code are transmitted.Computer-readable medium includes computer storage media and communication media, wherein communication media packet It includes convenient for from a place to any medium of another place transmission computer program.Storage medium can be computer can Any usable medium of access.Computer-readable medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other Optical disc storage, magnetic disk storage medium or other magnetic storage apparatus or can be used in carry or store have instruction or data The desired program code of structure type simultaneously can be by any other medium of computer access.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention Matter and range.

Claims (7)

1. a kind of smart electric grid system, which is characterized in that described including transmission line of electricity, transformer, monitoring system and control master station Monitoring system includes current monitoring subsystem and transformer monitoring subsystem, and the current monitoring subsystem is used to pass by electric current Sensor monitors the current value in the transmission line of electricity, and the transformer monitoring subsystem is described for being monitored to transformer Control master station is for controlling the transmission line of electricity and transformer according to current value and transformer monitoring result.
2. smart electric grid system according to claim 1, which is characterized in that the transformer monitoring subsystem includes primary Processing unit, secondary treatment unit, three times processing unit and four processing units, the single treatment unit are adopted using sensor The physical quantity or chemical quantity of collection reflection transformer state, and be converted to electric signal and be sent to secondary treatment unit, the secondary place Reason unit is used for the electric signal that receiving sensor transmits, and is adjusted to signal amplitude and inhibit then right to interference signal Signal carries out digital-to-analogue conversion and completes the acquisition of data, and the data of acquisition are sent to processing unit three times, described to handle three times Unit according to the collected data assesses the state of transformer, and four processing units are according to condition evaluation results to change Depressor is monitored.
3. smart electric grid system according to claim 2, which is characterized in that the sensor be embedded in inside transformer or It is mounted on transformer case surface, the data of the acquisition are sent to processing unit three times by wired or wireless transmission network;
The processing unit three times includes single treatment subelement, secondary treatment subelement, handles at subelement and four times three times Subelement is managed, the single treatment subelement is used to obtain the first evaluation factor of transformer, and the secondary treatment subelement is used In the second evaluation factor for obtaining transformer, the subelement of processing three times is used to obtain the third evaluation factor of transformer, institute State four processing subelements for according to the first evaluation factor, the second evaluation factor and third evaluation factor to transformer state into Row assessment.
4. smart electric grid system according to claim 3, which is characterized in that the single treatment subelement becomes for obtaining First evaluation factor of depressor, specifically in the following ways:
First evaluation factor of transformer calculates according to the following formula: In above formula, QK1First evaluation factor of indication transformer, b1Indication transformer oil dissolved gas hydrogen content, b2Indicate transformation Device oil dissolved gas acetylene content, b3The absolute gas production rate of indication transformer oil dissolved gas carbon monoxide;The transformation A possibility that first evaluation factor of device is bigger, and indication transformer oil insulation system breaks down is bigger.
5. smart electric grid system according to claim 4, which is characterized in that the secondary treatment subelement becomes for obtaining Second evaluation factor of depressor, specifically in the following ways:
Second evaluation factor of transformer calculates according to the following formula:In above formula, QK2It indicates Second evaluation factor of transformer, c1Indication transformer steel core current, c2Indication transformer winding D.C. resistance unbalance factor, c3 Indication transformer winding absorptance, c4Indication transformer winding dielectric loss;Second evaluation factor of the transformer is bigger, indicates to become A possibility that depressor winding breaks down is bigger.
6. smart electric grid system according to claim 5, which is characterized in that the processing subelement three times becomes for obtaining The third evaluation factor of depressor, specifically in the following ways:
The third evaluation factor of transformer calculates according to the following formula:In above formula, QK3Indicate transformation The third evaluation factor of device, d1Indication transformer insulation oil temperature, d2Indication transformer insulating oil pH value, d3Indication transformer Insulating oil breakdown voltage;A possibility that third evaluation factor of the transformer is bigger, and indication transformer insulating oil breaks down It is bigger.
7. smart electric grid system according to claim 6, which is characterized in that four processing subelements are used for according to the One evaluation factor, the second evaluation factor and third evaluation factor assess transformer state, specifically in the following ways:
The Transformer State Assessment factor calculates according to the following formula: FN=μ1QK12QK23QK3, in above formula, FN indication transformer shape State evaluation factor, μ1、μ2、μ3Indicate QK1、QK2、QK3Corresponding weight factor, μ123=1;The Transformer State Assessment A possibility that factor is bigger, and indication transformer breaks down is bigger.
CN201811204802.9A 2018-10-16 2018-10-16 A kind of smart electric grid system Pending CN109212379A (en)

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CN205231849U (en) * 2015-11-12 2016-05-11 国网重庆市电力公司江津供电分公司 Intelligent substation fortune is holded together all
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Application publication date: 20190115