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 systemMaster station 4 is controlled, the monitoring system 3 includes current monitoring subsystem and transformer monitoring subsystem, the current monitoring subsystemFor monitoring the current value in the transmission line of electricity 1 by current sensor, the transformer monitoring subsystem is used for change systemDepressor 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 changeDepressor 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 realizedSystem.
Preferably, the transformer monitoring subsystem 1 includes single treatment unit, secondary treatment unit, processing is single three timesMember and four processing units, the single treatment unit reflect the physical quantity or chemistry of transformer state using sensor acquisitionAmount, 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 transmitsNumber, signal amplitude is adjusted and interference signal is inhibited then to adopt signal progress digital-to-analogue conversion completion dataCollection, and the data of acquisition are sent to processing unit three times, the processing unit three times is according to the collected data to transformerState 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 handledThe 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 acquisitionProcessing 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 timesSecondary processing subelement, the single treatment subelement are used to obtain the first evaluation factor of transformer, and secondary treatment is singleMember for obtaining the second evaluation factor of transformer, the subelement of processing three times be used to obtain the third assessment of transformer becauseSon, four processing subelements are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to transformerState 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 transformationDevice oil dissolved gas acetylene content, b3The absolute gas production rate of indication transformer oil dissolved gas carbon monoxide；The transformationA 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, QK2Second evaluation factor of indication transformer, c1Indication transformer steel core current, c2Indication transformer winding D.C. resistance is unevenRate, c3Indication transformer winding absorptance, c4Indication transformer winding dielectric loss；Second evaluation factor of the transformer is bigger, tableShow 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 indicatesThe third evaluation factor of transformer, d1Indication transformer insulation oil temperature, d2Indication transformer insulating oil pH value, d3It indicates to becomeDepressor insulating oil breakdown voltage；The third evaluation factor of the transformer is bigger, and what indication transformer insulating oil broke down canEnergy property is bigger；
Four processing subelements are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to changeDepressor state is assessed, specifically in the following ways:
The Transformer State Assessment factor calculates according to the following formula: FN=μ1QK1+μ2QK2+μ3QK3, in above formula, FN indicates transformationThe device status assessment factor, μ1、μ2、μ3Indicate QK1、QK2、QK3Corresponding weight factor, μ1+μ2+μ3=1；The transformer stateA 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 timesEstimate factor pair transformer state to be assessed, specifically, having fully considered that influence transformer oil insulate in data handling procedureThe 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 fullFootL is evaluation factor number；Assuming that optimal weights are [w1, w2..., wl], evaluation factor is calculated using following formulaOptimal weights:In above formula, AY (wk) indicateK-th of evaluation factor weighting function, wkIndicate k-th of evaluation factor optimal weights, 0≤wk≤ 1, k ∈ { 1,2 ..., l }, wikTableShow k-th of evaluation factor weight that i-th kind of subjective weights method obtains, wpkIt indicates k-th that pth kind Objective Weighting obtainsEvaluation factor weight；
The optimal weights that four processing units of this preferred embodiment propose a kind of subjective and objective weight determine method, realizeThe optimization Weight Acquisition of each evaluation factor of transformer.
Preferably, four processing units are monitored transformer according to condition evaluation results, specifically using followingMode: setting Transformer State Assessment factor threshold Z0, as Transformer State Assessment factor FN >=Z0When, transformer is examinedIt repairs.
Four processing units of this preferred embodiment realize effective monitoring of transformer state, by setting transformer stateEvaluation 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 systemMaster station 4 is controlled, the monitoring system 3 includes current monitoring subsystem and transformer monitoring subsystem, the current monitoring subsystemFor monitoring the current value in the transmission line of electricity 1 by current sensor, the transformer monitoring subsystem is used for change systemDepressor 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 changeDepressor 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 realizedSystem.
Preferably, the transformer monitoring subsystem 1 includes single treatment unit, secondary treatment unit, processing is single three timesMember and four processing units, the single treatment unit reflect the physical quantity or chemistry of transformer state using sensor acquisitionAmount, 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 transmitsNumber, signal amplitude is adjusted and interference signal is inhibited then to adopt signal progress digital-to-analogue conversion completion dataCollection, and the data of acquisition are sent to processing unit three times, the processing unit three times is according to the collected data to transformerState 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 handledThe 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 acquisitionProcessing 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 timesSecondary processing subelement, the single treatment subelement are used to obtain the first evaluation factor of transformer, and secondary treatment is singleMember for obtaining the second evaluation factor of transformer, the subelement of processing three times be used to obtain the third assessment of transformer becauseSon, four processing subelements are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to transformerState 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 transformationDevice oil dissolved gas acetylene content, b3The absolute gas production rate of indication transformer oil dissolved gas carbon monoxide；The transformationA 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, QK2Second evaluation factor of indication transformer, c1Indication transformer steel core current, c2Indication transformer winding D.C. resistance is unevenRate, c3Indication transformer winding absorptance, c4Indication transformer winding dielectric loss；Second evaluation factor of the transformer is bigger, tableShow 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 indicatesThe third evaluation factor of transformer, d1Indication transformer insulation oil temperature, d2Indication transformer insulating oil pH value, d3It indicates to becomeDepressor insulating oil breakdown voltage；The third evaluation factor of the transformer is bigger, and what indication transformer insulating oil broke down canEnergy property is bigger；
Four processing subelements are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to changeDepressor state is assessed, specifically in the following ways:
The Transformer State Assessment factor calculates according to the following formula: FN=μ1QK1+μ2QK2+μ3QK3, in above formula, FN indicates transformationThe device status assessment factor, μ1、μ2、μ3Indicate QK1、QK2、QK3Corresponding weight factor, μ1+μ2+μ3=1；The transformer stateA 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 timesEstimate factor pair transformer state to be assessed, specifically, having fully considered that influence transformer oil insulate in data handling procedureThe 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 fullFootL is evaluation factor number；Assuming that optimal weights are [w1, w2..., wl], evaluation factor is calculated using following formulaOptimal weights:In above formula, AY (wk) indicateK-th of evaluation factor weighting function, wkIndicate k-th of evaluation factor optimal weights, 0≤wk≤ 1, k ∈ { 1,2 ..., l }, wikTableShow k-th of evaluation factor weight that i-th kind of subjective weights method obtains, wpkIt indicates k-th that pth kind Objective Weighting obtainsEvaluation factor weight；
The optimal weights that four processing units of this preferred embodiment propose a kind of subjective and objective weight determine method, realizeThe optimization Weight Acquisition of each evaluation factor of transformer.
Preferably, four processing units are monitored transformer according to condition evaluation results, specifically using followingMode: setting Transformer State Assessment factor threshold Z0, as Transformer State Assessment factor FN >=Z0When, transformer is examinedIt repairs.
Four processing units of this preferred embodiment realize effective monitoring of transformer state, by setting transformer stateEvaluation 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 intelligentlyPower 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 canTo realize the embodiments described herein with hardware, software, firmware, middleware, code or its any appropriate combination.For hardwareIt 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), processingDevice, 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 mediumInstruction or code are transmitted.Computer-readable medium includes computer storage media and communication media, wherein communication media packetIt includes convenient for from a place to any medium of another place transmission computer program.Storage medium can be computer canAny usable medium of access.Computer-readable medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or otherOptical disc storage, magnetic disk storage medium or other magnetic storage apparatus or can be used in carry or store have instruction or dataThe 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 protectedThe limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answeredWork 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 inventionMatter and range.