CN106556777A - Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line - Google Patents

Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line Download PDF

Info

Publication number
CN106556777A
CN106556777A CN201710073429.7A CN201710073429A CN106556777A CN 106556777 A CN106556777 A CN 106556777A CN 201710073429 A CN201710073429 A CN 201710073429A CN 106556777 A CN106556777 A CN 106556777A
Authority
CN
China
Prior art keywords
data
voltage
single harmonic
current
monitoring
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN201710073429.7A
Other languages
Chinese (zh)
Inventor
郭成
周鑫
覃日升
和鹏
张冀
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electric Power Research Institute of Yunnan Power System Ltd
Original Assignee
Electric Power Research Institute of Yunnan Power System Ltd
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 Electric Power Research Institute of Yunnan Power System Ltd filed Critical Electric Power Research Institute of Yunnan Power System Ltd
Priority to CN201710073429.7A priority Critical patent/CN106556777A/en
Publication of CN106556777A publication Critical patent/CN106556777A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing
    • H02J13/0006
    • 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

Abstract

The present invention discloses a kind of wind-electricity integration operational monitoring method and system monitored on-line based on the quality of power supply, wherein, methods described includes:Obtain the Monitoring Data of electric energy quality monitoring system;Calculate non-equilibrium among three phase voltages and judge non-equilibrium among three phase voltages whether more than 2%;Or, calculating active power decrement and judging active power decrement whether more than 30%;Or, calculating harmonic current containing ratio and single harmonic component voltage containing ratio and judging whether harmonic current containing ratio and single harmonic component voltage containing ratio meet default containing ratio respectively;Or, obtaining line voltage and power network current and judging whether line voltage and power network current meet pre-conditioned respectively;Fan operation early warning is carried out when either condition meets.The embodiment of the present invention by obtain electric energy quality monitoring system Monitoring Data, to Monitoring Data in various data classified counting, judge whether each data result of calculation meets the grid-connected requirement of electrical network respectively, early warning carried out to fan operation state with this.

Description

Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line
Technical field
The present invention relates to wind-electricity integration running technology field, more particularly to a kind of wind-powered electricity generation monitored on-line based on the quality of power supply The monitoring method that is incorporated into the power networks and system.
Background technology
In recent years, China's wind-powered electricity generation is fast-developing, and grid-connected scale is presented is doubled formula growth year by year, brings certain effect to society Benefit, but as power system auxiliary facility imperfection, Wind turbines are unsatisfactory for the factors such as Grid-connection standards in itself, make Wind turbines pole Easily there is groupment off-grid, the power shortage for thereby resulting in brings extreme shock to network system frequency.As wind-electricity integration is advised The expansion of mould, this impact are more and more obvious, only judge fan operation state in time, and analyze blower fan off-grid reason, ability Ensure the safe and stable operation of electrical network.
In correlation technique, in order to monitor whether blower fan occurs off-grid, the general electricity recorded using fault oscillograph in electrical network Stream and voltage, electric current, voltage and waveform when curtage occurs saltus step in fault oscillograph start recording electrical network etc. Numerical value, and while recording saltus step occurs the numerical value such as electric current for the previous period, voltage and waveform, then fault oscillograph will be remembered The numerical value of record is sent to distant place main website, and the staff of distant place main website is according to numerical value such as the electric currents, voltage and waveform for receiving It is analyzed and calculates, draw the data such as nature of trouble, trouble point distance, is sentenced according to data such as nature of trouble, trouble point distances Whether disconnected blower fan there is off-grid.
However, in the prior art, fault oscillograph just start recording data only after blower fan has occurred and that off-grid, What the data for obtaining were collected after all having occurred and that off-grid for blower fan, have impact on real-time and the prediction of fan operation monitoring Property.
The content of the invention
To overcome problem present in correlation technique, the present invention to provide a kind of wind-powered electricity generation monitored on-line based on the quality of power supply simultaneously Network operation monitoring system and method.
A kind of first aspect according to embodiments of the present invention, there is provided wind-electricity integration operation monitored on-line based on the quality of power supply Monitoring method, including:
Obtain the Monitoring Data of electric energy quality monitoring system;
Non-equilibrium among three phase voltages are calculated according to the Monitoring Data and judges whether the non-equilibrium among three phase voltages are big In 2%, or, active power decrement is calculated according to the Monitoring Data and judges whether the active power decrement is more than 30%, or, single harmonic current total harmonic distortion and single harmonic component voltage containing ratio are calculated according to the Monitoring Data and is judged Whether the single harmonic current total harmonic distortion and single harmonic component voltage containing ratio meet default aberration rate respectively and preset contains Rate, or, line voltage and power network current are obtained from the Monitoring Data and the line voltage and electrical network electricity is judged respectively Whether stream meets pre-conditioned;
When the non-equilibrium among three phase voltages are more than 2%, or, when the active power decrement is more than 30%, or Person, the single harmonic current total harmonic distortion and single harmonic component voltage containing ratio meet default aberration rate and default containing ratio respectively When, or, when the line voltage and power network current meet pre-conditioned;Carry out fan operation early warning.
Alternatively, methods described also includes:
When the line voltage or power network current meet it is pre-conditioned, carry out fan operation early warning when, to voltage waveform and Current waveform records ripple, preserves recorder data.
Alternatively, methods described also includes:
Active power data and reactive power data are obtained from the Monitoring Data, by the active power data and nothing Work(power data output pattern power curve, preserves the graphical power curve.
Alternatively, methods described also includes:
Single harmonic current of the order within 40 times and single harmonic component voltage are obtained from the Monitoring Data;
2 times to 40 times single harmonic components are calculated respectively according to the single harmonic current and single harmonic component voltage within described 40 times 99% probit of 99% probit of electric current and 2 times to 40 single harmonic component voltages;
Preserve described 2 times to 40 single harmonic currents 99% probit and 2 times to 40 single harmonic component voltages 99% probit.
Alternatively, the single harmonic current and single harmonic component voltage according within described 40 times calculates 2 times extremely respectively The method of 99% probit of 99% probit of 40 single harmonic currents and 2 times to 40 single harmonic component voltages includes:
Single harmonic current within described 40 times is arranged by the order from little arrival, harmonic current sequence is obtained Row;
In the harmonic current sequence 1% maximum is removed;
The maximum of remaining numerical value in the harmonic current sequence is chosen, as 2 times to 40 single harmonic currents 99% probit;
Single harmonic component voltage within described 40 times is ranked up by the order from little arrival, harmonic voltage sequence is obtained Row;
In the single harmonic current voltage 1% maximum is removed;
Choose the maximum of remaining numerical value in the single harmonic component contact potential series, as 2 times to 40 times single harmonic currents 99% probit.
Alternatively, it is described to judge whether the single harmonic current total harmonic distortion and single harmonic component voltage containing ratio are full respectively The default aberration rate of foot and default containing ratio, including:
Judge the single harmonic current total harmonic distortion whether more than 10%;And,
Judge the single harmonic component voltage containing ratio whether more than 3%.
Alternatively, it is described to judge whether the line voltage and power network current meet pre-conditioned, including:
Judge whether the line voltage drops to the 90% of rated voltage, or be raised to rated voltage 105%;With And,
Judge whether the power network current exceeds more than 2 times of rated current.
Second aspect according to embodiments of the present invention, a kind of wind-electricity integration operational monitoring monitored on-line based on the quality of power supply System, including:
Data interface module, for obtaining the Monitoring Data of electric energy quality monitoring system, and the Monitoring Data is sent To data memory module;
Data memory module, for preserving the Monitoring Data;
Generated energy monitoring modular, for according to the active power in the Monitoring Data and reactive power data output and protecting Graphical power curve is deposited, active power decrement is calculated, judges active power decrement whether more than 30%;
Frequency analyses module, for calculate and preserve 2 times to 40 single harmonic currents 99% probit, 2 times to 40 99% probit of secondary single harmonic component voltage, calculates single harmonic current total harmonic distortion and single harmonic component voltage containing ratio, sentences Whether the single harmonic current total harmonic distortion of breaking and single harmonic component voltage containing ratio meet default aberration rate respectively and preset contains There is rate;
Whether recorder data analysis module, the current data and voltage data for judging in the Monitoring Data meet pre- If condition, the current waveform and voltage waveform in electrical network is recorded when the current data and voltage data meet pre-conditioned, And the current waveform and voltage waveform are stored in data memory module;
Imbalance of three-phase voltage analysis module, for calculating three-phase electricity according to the three-phase voltage data in the Monitoring Data Whether pressure degree of unbalancedness, judge the non-equilibrium among three phase voltages more than 2%;
Early warning output module, for judging whether blower fan has occurred and that off-grid or be likely to occur off-grid, sends blower fan fortune Row early warning.
Alternatively, the data memory module includes:
Voltage x current data submodule, for preserving current data and voltage data in the Monitoring Data;
Active reactive data submodule, for preserving the active power data in the Monitoring Data and reactive power number According to;
Harmonic data submodule, for preserving single harmonic current data and single harmonic current in the Monitoring Data Data;
Three-phase imbalance data submodule, for preserving three-phase voltage data and three-phase voltage in the Monitoring Data Degree of unbalancedness data;
Recorder data submodule, for recording the current waveform in electrical network and voltage waveform.
The wind-electricity integration operational monitoring method monitored on-line based on the quality of power supply that embodiments of the invention are provided, by obtaining The Monitoring Data of electric energy quality monitoring early warning system during treating excess syndrome, and to Monitoring Data in various data classified counting, sentence respectively Whether each data result of calculation of breaking meets the grid-connected requirement of electrical network, carries out real-time estimate to the blower fan off-grid that may occur with this.Separately Outward, as the condition for judging fan operation state is not unique, can effectively ensure that the accuracy of fan operation early warning.
The wind-electricity integration operation monitoring system monitored on-line based on the quality of power supply that embodiments of the invention are provided, by number Electric energy quality monitoring data are obtained according to interface module, and is stored in data memory module, for generated energy monitoring modular, harmonic wave point The data type that analysis module, recorder data analysis module and imbalance of three-phase voltage analysis module are calculated as needed is from data Obtain each data to be calculated and judged whether data result of calculation meets blower fan grid-connected conditions in memory module, so as to The purpose of fan operation early warning is reached, while classified counting also improves the accuracy of blower fan early warning.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary and explanatory, not The present invention can be limited.
Description of the drawings
During accompanying drawing herein is merged in description and the part of this specification is constituted, show the enforcement for meeting the present invention Example, and be used for explaining the principle of the present invention together with description.
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing Accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, for those of ordinary skill in the art Speech, without having to pay creative labor, can be with according to these other accompanying drawings of accompanying drawings acquisition.
Fig. 1 is a kind of wind-electricity integration operational monitoring method monitored on-line based on the quality of power supply provided in an embodiment of the present invention Schematic flow sheet;
Fig. 2 is another kind of wind-electricity integration operational monitoring side monitored on-line based on the quality of power supply provided in an embodiment of the present invention The schematic flow sheet of method;
Fig. 3 is the schematic flow sheet that a kind of data provided in an embodiment of the present invention record ripple;
Fig. 4 is a kind of wind-electricity integration operation monitoring system monitored on-line based on the quality of power supply provided in an embodiment of the present invention Structural representation.
Illustrate:
1- data interface modules, 2- data memory modules, 3- generated energy monitoring modulars, 4- frequency analyses modules, 5- record ripples Data analysis module, 6- imbalance of three-phase voltage analysis modules, 7- early warning output modules.
Specific embodiment
Here in detail exemplary embodiment will be illustrated, its example is illustrated in the accompanying drawings.Explained below is related to During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment Described in embodiment do not represent and the consistent all embodiments of the present invention.Conversely, they be only with as appended by The example of consistent apparatus and method in terms of some described in detail in claims, the present invention.
Referring to Fig. 1, it is a kind of wind-electricity integration operation prison monitored on-line based on the quality of power supply provided in an embodiment of the present invention The schematic flow sheet of survey method, as described in Figure 1, the wind-electricity integration monitored on-line based on the quality of power supply provided in an embodiment of the present invention Operational monitoring method includes:
Step S101, obtains the Monitoring Data of electric energy quality monitoring system.
Electric energy quality monitoring system is the equipment for monitoring power quality that almost every wind energy turbine set has installation, and it can be real-time Various data in collection electrical network reach the purpose of electric energy quality monitoring with this, and these Monitoring Data are again may be by calculating The effect of fan operation early warning is reached after reason, and electric energy quality monitoring early warning system possesses high sample frequency, ensure that The accuracy of Monitoring Data.
Perform after Monitoring Data is got:
Step S111, calculates non-equilibrium among three phase voltages according to the Monitoring Data and judges the imbalance of three-phase voltage Whether degree is more than 2%.
Three voltage unbalance factors are the principal elements for causing blower fan off-grid, therefore calculate three voltage unbalance factors particularly It is important, three voltage data U are contained in the Monitoring Data collected from electric energy quality monitoring systemA、UB、UC, from UA、UB、UC In select maximum and minima, maximum is designated as into Umax, minima is designated as into Umin, by formula:Three voltage unbalance factors are tried to achieve,
Wherein, εuRepresent three voltage unbalance factors.Then judge whether the non-equilibrium among three phase voltages for calculating acquisition are big In 2%, and preserve calculating and judged result.
Fan operation early warning is carried out when non-equilibrium among three phase voltages are more than 2%;When non-equilibrium among three phase voltages are not more than Any step wouldn't be performed when 2%, until the prison of electric energy quality monitoring system is reacquired when all Rule of judgment are unsatisfactory for Survey data.
Or, execution step S112 calculates active power decrement according to the Monitoring Data and judges the wattful power Whether rate decrement is more than 30%.
Active power is the electrical power for converting electrical energy into other forms energy (such as mechanical energy, luminous energy or heat energy), by wind Electric field is provided by three buses, and every section of bus accounts for the 1/3 of Wind turbines, is usually that whole section of bus is equal when blower fan occurs off-grid Operation, the active power lost in such electrical network are about the 30% of generated energy, therefore judge whether active power decrement is big Can be with the state of direct reaction fan operation in 30%.First determine whether what this sampled point was obtained when active power decrement is calculated Active power data go up whether the active power of sampled point acquisition is reduced relatively, if the active power of this sampled point relatively goes up one Sampled point active power is reduced, then the active power for calculating this sampled point relatively goes up a sampled point active power reduces how many, And calculate the percentage ratio that the active power of reduction accounts for a sampled point active power, as active power decrement.
Fan operation early warning is carried out when active power decrement is more than 30%;When active power decrement is not more than 30% When wouldn't perform any step, until all Rule of judgment reacquire the monitoring number of electric energy quality monitoring system when being unsatisfactory for According to.
Or, execution step S113 calculates single harmonic current total harmonic distortion and single harmonic component according to the Monitoring Data Voltage containing ratio simultaneously judges whether the single harmonic current total harmonic distortion and single harmonic component voltage containing ratio meet default respectively Aberration rate and default containing ratio.
Certain rule are made that to single harmonic current total harmonic distortion in electrical network and single harmonic component voltage containing ratio in GB It is fixed, it is determined that being wind after the single harmonic current total harmonic distortion in electrical network and single harmonic component voltage containing ratio are beyond regulation Machine off-grid, according to the result of actual monitoring and combines national regulations, will be provided in an embodiment of the present invention online based on the quality of power supply In the wind-electricity integration operational monitoring method of monitoring, the highest resultant distortion of single harmonic current has rate to be set to 10%, single harmonic component electricity The highest containing ratio of pressure is set to 3%, calculates list respectively according to the single harmonic current in Monitoring Data and single harmonic component voltage Subharmonic current total harmonic distortion and single harmonic component voltage containing ratio, and be compared and sentence with default aberration rate and default containing ratio Disconnected fan operation state.
Contain when single harmonic current total harmonic distortion and single harmonic component voltage containing ratio meet default aberration rate respectively and preset Fan operation early warning is carried out when having rate;When single harmonic current total harmonic distortion and single harmonic component voltage containing ratio be unsatisfactory for it is default abnormal Any step wouldn't be performed when variability and default containing ratio, until electric energy matter is reacquired when all Rule of judgment are unsatisfactory for The Monitoring Data of amount monitoring system.
Or, execution step S114 obtains line voltage and power network current from the Monitoring Data and judges institute respectively State line voltage and whether power network current meets pre-conditioned.
Wind-powered electricity generation off-grid accident process would generally experience two stages:Low-voltage off-grid stage and overvoltage off-grid stage.Therefore When barrier occurs, blower fan is because of Voltage Drop trigger protection action, idle in a large number to Systemic absorption, causes neighbouring wind farm grid-connected point female Line voltage declines and causes low pressure off-grid, supply voltage root-mean-square value the short time drop to suddenly rated voltage amplitude 90%~ 10%, its Typical duration is 10ms~1min;After failure removal, due in off-grid wind energy turbine set reactive power compensator it is slow Slow motion causes System Reactive Power superfluous, and neighbouring wind farm grid-connected busbar voltage raises more line causes over-pressed off-grid, supply voltage Root-mean-square value is flown up in the short time to the 110% of rated voltage amplitude.In judging electrical network, voltage is relative to rated voltage Difference can also reflect the running status of blower fan, but find during actual monitoring, when supply voltage root-mean-square value rises to Rated voltage amplitude 105% when blower fan just have occurred and that off-grid, therefore provided in an embodiment of the present invention based on the quality of power supply In the wind-electricity integration operational monitoring method of on-line monitoring by off-grid condition setting be grid voltage sags to the 90% of rated voltage, Or it is raised to the 105% of rated voltage;And, power network current exceeds more than 2 times of rated current.
Fan operation early warning is carried out when line voltage and power network current meet pre-conditioned;When line voltage and electrical network electricity Stream wouldn't perform any step when being unsatisfactory for pre-conditioned, until all Rule of judgment reacquire the quality of power supply when being unsatisfactory for The Monitoring Data of monitoring system.
In sum, when non-equilibrium among three phase voltages, active power decrement, harmonic current containing ratio and single harmonic component electricity Fan operation early warning is issued by when any value meets the condition of blower fan off-grid in pressure containing ratio, line voltage and power network current, When non-equilibrium among three phase voltages, active power decrement, single harmonic current total harmonic distortion and single harmonic component voltage containing ratio, electricity When whole numerical value are unsatisfactory for the condition of blower fan off-grid in net voltage and power network current, electric energy quality monitoring system is reacquired Monitoring Data.Due to the condition for judging blower fan off-grid it is not unique, therefore, it is possible to ensure the accuracy of fan operation early warning.
Referring to Fig. 2, it is another kind of wind-electricity integration operation monitored on-line based on the quality of power supply provided in an embodiment of the present invention The schematic flow sheet of monitoring method, as described in Figure 2, the wind-powered electricity generation monitored on-line based on the quality of power supply provided in an embodiment of the present invention is simultaneously Network operation monitoring method also includes:
Step S102, obtains single harmonic current of the order within 40 times and single harmonic component electricity from the Monitoring Data Pressure, calculates 2 times to 40 times single harmonic currents respectively according to the single harmonic current and single harmonic component voltage within described 40 times 99% probit and 99% probit of 2 times to 40 single harmonic component voltages, preserve 2 times to the 40 times single harmonic currents 99% probit and 99% probit of 2 times to 40 single harmonic component voltages.
After there is fan operation early warning for electrical network when judging that blower fan occurs trawlnet in time in the numerical value of parameter become Change and find the reason for cause blower fan off-grid, need to refer to 2 times to 40 single harmonic currents 99% probit and 2 times extremely 99% probit of 40 single harmonic component voltages.After fan operation early warning sends, user can be transferred aobvious by look-up command Show 99% probit of 99% probit that is saved in 2 times to 40 single harmonic currents and 2 times to 40 single harmonic component voltages, The reason for causing blower fan off-grid is searched with this.
Wherein, 99% probit of 2 times to 40 single harmonic currents and 2 times are 99% general to 40 single harmonic component voltages The circular of rate value is as described below:
Single harmonic current harmony wave voltage of the order within 40 times is obtained first from Monitoring Data;
Single harmonic current within 40 times is arranged by the order from little arrival, harmonic current sequence is obtained;
In harmonic current sequence 1% maximum is removed;
The maximum of remaining numerical value in harmonic current sequence is chosen, the 99% of as 2 times to 40 single harmonic currents is general Rate value;
Then the harmonic voltage within 40 times is ranked up by the order from little arrival, obtains harmonic voltage sequence;
In single harmonic current voltage 1% maximum is removed;
The maximum of remaining numerical value in harmonic voltage sequence is chosen, the 99% of as 2 times to 40 single harmonic currents is general Rate value.
Also include, step S103, active power data and reactive power data are obtained from the Monitoring Data, will be described Active power data and reactive power data output figure power curve, preserve the graphical power curve.
Active power and reactive power directly reflect the energy variation situation that blower fan occurs electrical network before and after off-grid, by electrical network In active power and reactive power carry out statistics can occur fan operation early warning after observe blower fan occur off-grid before Energy variation in electrical network afterwards, by active power data and reactive power data output figure power curve, can be more directly perceived Find out the change curve that active power and reactive power in electrical network before and after blower fan off-grid occur, graphical power curve is protected Deposit, after fan operation early warning sends, user can be transferred by look-up command and show the graphical power curve for preserving.
Referring to Fig. 3, a kind of data provided in an embodiment of the present invention record the schematic flow sheet of ripple, and as described in Figure 3, the present invention is real The wind-electricity integration operational monitoring method monitored on-line based on the quality of power supply for applying example offer is also included:
Step S105, when the line voltage or power network current meet it is pre-conditioned, carry out fan operation early warning when, to electricity Corrugating and current waveform record ripple, preserve recorder data.
When whether line voltage drops to the 90% of rated voltage, or be raised to rated voltage 105%;Or electrical network electricity Whether pressure during beyond more than 2 times of rated voltage, blower fan may off-grid or off-grid, now in start recording electrical network electric current ripple The waveform of shape and voltage, and recorder data is preserved, after fan operation early warning sends, user can be transferred by look-up command Show the recorder data for preserving.
The wind-electricity integration operational monitoring method monitored on-line based on the quality of power supply that embodiments of the invention are provided, by obtaining The Monitoring Data of electric energy quality monitoring early warning system during treating excess syndrome, and to Monitoring Data in various data classified counting, sentence respectively Whether each data result of calculation of breaking meets the grid-connected requirement of electrical network, carries out real-time estimate to the blower fan off-grid that may occur with this.Separately Outward, as the condition for judging blower fan off-grid is not unique, it is ensured that the accuracy of fan operation early warning.
Referring to Fig. 4, it is a kind of wind-electricity integration operation prison monitored on-line based on the quality of power supply provided in an embodiment of the present invention The structural representation of examining system, as shown in figure 4, the wind-electricity integration monitored on-line based on the quality of power supply provided in an embodiment of the present invention Operation monitoring system, including:
Data interface module 1, for obtaining the Monitoring Data of electric energy quality monitoring system collection, and Monitoring Data is sent To data memory module 2;
Data memory module 2, for preserving Monitoring Data;
Generated energy monitoring modular 3, for according to the active power in Monitoring Data and reactive power data output and preserving Whether graphical power curve, calculates active power decrement, judge active power decrement more than 30%;
Frequency analyses module 4, for calculate and preserve 2 times to 40 single harmonic currents 99% probit, 2 times to 40 99% probit of secondary single harmonic component voltage, calculates single harmonic current total harmonic distortion and single harmonic component voltage containing ratio, sentences Whether disconnected single harmonic current total harmonic distortion and single harmonic component voltage containing ratio completely preset aberration rate and the default containing ratio of foot respectively.
Recorder data analysis module 5, for judging whether the current data in Monitoring Data and voltage data meet default Condition, records the current waveform and voltage waveform in electrical network when current data and voltage data meet pre-conditioned, and by electricity Stream waveform and voltage waveform are stored in data memory module 2;
Imbalance of three-phase voltage analysis module 6, for calculating three-phase voltage according to the three-phase voltage data in Monitoring Data Whether degree of unbalancedness, judge non-equilibrium among three phase voltages more than 2%;
Early warning output module 7, runs or will occur operation for judging whether blower fan has occurred and that, send fan operation Early warning.
Wherein, 1 two ends of data connection module connect wind energy turbine set Electric Power Quality On-line Monitor System and data storage mould respectively Block 2;Generated energy monitoring modular 3, frequency analyses module 4, recorder data analysis module 5 and three voltage unbalance factors monitor mould One end of block 6 connects data memory module 2 respectively, and the other end connects early warning output module 7 respectively.
In order to different data are carried out classification preservation, data memory module 2 includes:
Voltage x current data submodule, for preserving the current data in Monitoring Data and voltage data;
Active reactive data submodule, for preserving the active power data in Monitoring Data and reactive power data;
Harmonic data submodule, for preserving the single harmonic current data in Monitoring Data and single harmonic current number According to;
Three-phase imbalance data submodule is uneven for preserving the three-phase voltage data in Monitoring Data and three-phase voltage Weighing apparatus degrees of data;
Recorder data submodule, for recording the current waveform in electrical network and voltage waveform.
The concrete work of the wind-electricity integration operation monitoring system monitored on-line based on the quality of power supply provided in an embodiment of the present invention Make mode as described below:
Monitoring Data of the data interface module 1 by the wind energy turbine set quality of power supply in the Real-time Collection for thinking monitoring system is sent to number According to memory module 2, due to the various data included in Monitoring Data, in order to subsequent operation is conveniently by the electric current number in Monitoring Data According to the voltage x current data submodule that data memory module 2 is stored in voltage data;By active power data and reactive power Data are stored in the active reactive data submodule of data memory module 2;By single harmonic current data and single harmonic current Data are stored in the harmonic data submodule of data memory module 2;Three-phase voltage data is stored in into the three of data memory module 2 Phase unbalanced data submodule.
Generated energy monitoring modular 3 from the active reactive data submodule of data memory module 2 obtain active power data and Reactive power data, according to active power and reactive power data output figure power curve, and by graphical power curve Wait user's to transfer display in being stored in the sub-module stored of generated energy monitoring modular 3, then calculate active power decrement, And active power decrement is judged whether more than 30%, when active power decrement is more than 30% to early warning output module 7 Go out early warning instruction.
Frequency analyses module 4 obtains single harmonic current data and list from the harmonic data submodule of data memory module 2 Subharmonic current data, the single harmonic current data and single harmonic current data according to order within 40 times are calculated 2 times 99% probit, 99% probit of 2 times to 40 single harmonic component voltages to 40 single harmonic currents, by 2 times to 40 times 99% probit of single harmonic current, 99% probit of 2 times to 40 single harmonic component voltages are stored in frequency analyses module 4 Sub-module stored in wait user to transfer displays, then calculating single harmonic current total harmonic distortion and single harmonic component voltage Containing ratio, judge single harmonic current total harmonic distortion and single harmonic component voltage containing ratio whether meet respectively default aberration rate and Default containing ratio;Contain when single harmonic current total harmonic distortion and single harmonic component voltage containing ratio meet default aberration rate and preset There is rate to send early warning instruction to early warning output module 7;
Recorder data analysis module 5 obtains current data and electricity from the voltage x current data submodule of data memory module 2 Pressure data, judge whether current data and voltage data meet pre-conditioned, when current data and voltage data meet default bar Early warning instruction is sent to early warning output module 7 during part, and the current waveform in electrical network and voltage waveform is recorded, by current waveform and Voltage waveform is stored in the recorder data submodule in data memory module 2.
Imbalance of three-phase voltage analysis module 6 is obtained three from the three-phase imbalance data submodule of data memory module 2 Phase voltage data, calculate non-equilibrium among three phase voltages according to three-phase voltage data, judge whether non-equilibrium among three phase voltages are more than 2%, early warning instruction is sent to early warning output module 7 when non-equilibrium among three phase voltages are more than 2%.
The wind-electricity integration operation monitoring system monitored on-line based on the quality of power supply that embodiments of the invention are provided, by number Electric energy quality monitoring data are obtained according to interface module 1, and is stored in data memory module 2, for generated energy monitoring modular 3, humorous The data class that wave analysiss module 4, recorder data analysis module 5 and imbalance of three-phase voltage analysis module 6 are calculated as needed Type obtains from data memory module 2 that the respective data are calculated and to be judged whether data result of calculation meets blower fan grid-connected Condition, so as to reach the purpose of fan operation early warning, while classified counting also improves the accuracy of fan operation early warning.
It should be noted that herein, term " including ", "comprising" or its any other variant are intended to non-row His property is included, so that a series of process, method, article or equipment including key elements not only include those key elements, and And also include other key elements being not expressly set out, or also include for this process, method, article or equipment institute inherently Key element.In the absence of more restrictions, the key element for being limited by sentence "including a ...", it is not excluded that including institute Also there is other identical element in process, method, article or the equipment of stating key element.
Those skilled in the art will readily occur to its of the present invention after considering description and putting into practice disclosure of the invention here Its embodiment.The application is intended to any modification of the present invention, purposes or adaptations, these modifications, purposes or Person's adaptations follow the general principle of the present invention and including the undocumented common knowledge in the art of the present invention Or conventional techniques.Description and embodiments are considered only as exemplary, and true scope and spirit of the invention are by following Claim is pointed out.
It should be appreciated that the precision architecture for being described above and being shown in the drawings is the invention is not limited in, and And various modifications and changes can be being carried out without departing from the scope.The scope of the present invention is limited only by appended claim.

Claims (9)

1. it is a kind of based on the quality of power supply monitor on-line wind-electricity integration operational monitoring method, it is characterised in that include:
Obtain the Monitoring Data of electric energy quality monitoring system;
Non-equilibrium among three phase voltages are calculated according to the Monitoring Data and judges whether the non-equilibrium among three phase voltages are more than 2%, or, active power decrement is calculated according to the Monitoring Data and judges whether the active power decrement is more than 30%, or, single harmonic current total harmonic distortion and single harmonic component voltage containing ratio are calculated according to the Monitoring Data and is judged Whether the single harmonic current total harmonic distortion and single harmonic component voltage containing ratio meet default aberration rate respectively and preset contains Rate, or, line voltage and power network current are obtained from the Monitoring Data and the line voltage and electrical network electricity is judged respectively Whether stream meets pre-conditioned;
When the non-equilibrium among three phase voltages are more than 2%, or, when the active power decrement is more than 30%, or, institute State single harmonic current total harmonic distortion and when single harmonic component voltage containing ratio meets default aberration rate and default containing ratio respectively, or When person, the line voltage and power network current meet pre-conditioned, fan operation early warning is carried out.
2. method according to claim 1, it is characterised in that methods described also includes:
When the line voltage or power network current meet it is pre-conditioned, carry out fan operation early warning when, to voltage waveform and electric current Waveform records ripple, preserves recorder data.
3. method according to claim 1, it is characterised in that methods described also includes:
Active power data and reactive power data are obtained from the Monitoring Data, by the active power data and idle work( Rate data output figure power curve, preserves the graphical power curve.
4. method according to claim 1, it is characterised in that methods described also includes:
Single harmonic current of the order within 40 times and single harmonic component voltage are obtained from the Monitoring Data;
2 times to 40 times single harmonic currents are calculated respectively according to the single harmonic current and single harmonic component voltage within described 40 times 99% probit and 99% probit of 2 times to 40 single harmonic component voltages;
Preserve described 2 times to 40 single harmonic currents 99% probit and 2 times it is 99% general to 40 single harmonic component voltages Rate value.
5. method according to claim 4, it is characterised in that the single harmonic current according within described 40 times and Single harmonic component voltage calculates 99% probit of 2 times to 40 single harmonic currents and 2 times to 40 times single harmonic component voltages respectively The method of 99% probit include:
Single harmonic current within described 40 times is arranged by the order from little arrival, harmonic current sequence is obtained;
In the harmonic current sequence 1% maximum is removed;
The maximum of remaining numerical value in the harmonic current sequence is chosen, it is general as the 99% of 2 times to 40 single harmonic currents Rate value;
Single harmonic component voltage within described 40 times is ranked up by the order from little arrival, harmonic voltage sequence is obtained;
In the single harmonic current voltage 1% maximum is removed;
The maximum of remaining numerical value in the single harmonic component contact potential series is chosen, as 2 times to 40 single harmonic currents 99% probit.
6. method according to claim 1, it is characterised in that the judgement single harmonic current total harmonic distortion and list Whether subharmonic voltage containing ratio meets default aberration rate and default containing ratio respectively, including:
Judge the single harmonic current total harmonic distortion whether more than 10%;And,
Judge the single harmonic component voltage containing ratio whether more than 3%.
7. method according to claim 1, it is characterised in that described to judge whether the line voltage and power network current are full Foot is pre-conditioned, including:
Judge whether the line voltage drops to the 90% of rated voltage, or be raised to rated voltage 105%;And,
Judge whether the power network current exceeds more than 2 times of rated current.
8. a kind of wind-electricity integration operation monitoring system monitored on-line based on the quality of power supply, is appointed for performing claim 1-7 such as Method described in one, it is characterised in that include:
Data interface module (1), for obtaining the Monitoring Data of electric energy quality monitoring system, and the Monitoring Data is sent to Data memory module (2);
Data memory module (2), for preserving the Monitoring Data;
Generated energy monitoring modular (3), for according to the active power in the Monitoring Data and reactive power data output and protecting Graphical power curve is deposited, active power decrement is calculated, judges active power decrement whether more than 30%;
Frequency analyses module (4), for calculate and preserve 2 times to 40 single harmonic currents 99% probit, 2 times to 40 times 99% probit of single harmonic component voltage, calculates single harmonic current total harmonic distortion and single harmonic component voltage containing ratio, judges Whether the single harmonic current total harmonic distortion and single harmonic component voltage containing ratio meet default aberration rate respectively and preset contains Rate;
Whether recorder data analysis module (5), the current data and voltage data for judging in the Monitoring Data meet pre- If condition, the current waveform and voltage waveform in electrical network is recorded when the current data and voltage data meet pre-conditioned, And the current waveform and voltage waveform are stored in data memory module (2);
Imbalance of three-phase voltage analysis module (6), for calculating three-phase electricity according to the three-phase voltage data in the Monitoring Data Whether pressure degree of unbalancedness, judge the non-equilibrium among three phase voltages more than 2%;
Early warning output module (7), for judging that whether blower fan occurs off-grid or be likely to occur off-grid, sends fan operation pre- It is alert.
9. system according to claim 8, it is characterised in that the data memory module (2) includes:
Voltage x current data submodule, for preserving current data and voltage data in the Monitoring Data;
Active reactive data submodule, for preserving the active power data in the Monitoring Data and reactive power data;
Harmonic data submodule, for preserving the single harmonic current data in the Monitoring Data and single harmonic current number According to;
Three-phase imbalance data submodule is uneven for preserving the three-phase voltage data in the Monitoring Data and three-phase voltage Weighing apparatus degrees of data;
Recorder data submodule, for recording the current waveform in electrical network and voltage waveform.
CN201710073429.7A 2017-02-10 2017-02-10 Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line Pending CN106556777A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710073429.7A CN106556777A (en) 2017-02-10 2017-02-10 Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710073429.7A CN106556777A (en) 2017-02-10 2017-02-10 Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line

Publications (1)

Publication Number Publication Date
CN106556777A true CN106556777A (en) 2017-04-05

Family

ID=58445963

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710073429.7A Pending CN106556777A (en) 2017-02-10 2017-02-10 Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line

Country Status (1)

Country Link
CN (1) CN106556777A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108053095A (en) * 2017-11-22 2018-05-18 全球能源互联网研究院有限公司 A kind of electrical energy power quality disturbance affair character extracting method and system
CN109004659A (en) * 2017-06-07 2018-12-14 广东电网有限责任公司佛山供电局 A kind of distribution transforming active load imbalance judgment method based on metering centralized meter reading terminal data
CN110110961A (en) * 2019-03-26 2019-08-09 国网河北省电力有限公司沧州供电分公司 Power quality data monitoring method, device and terminal device
CN112428864A (en) * 2020-12-21 2021-03-02 深圳威迈斯新能源股份有限公司 Intelligent power grid quality identification and self-adaptive control method and vehicle-mounted OBC power transmission architecture
CN112924798A (en) * 2021-02-08 2021-06-08 北京中电普华信息技术有限公司 Power quality monitoring method and device and electronic equipment
CN113586423A (en) * 2021-09-08 2021-11-02 广东鑫钻节能科技股份有限公司 Electric energy stability monitoring system for air compressor
CN115097301A (en) * 2022-06-22 2022-09-23 佛山众陶联供应链服务有限公司 Ceramic raw material workshop intermittent ball mill early warning method and system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102435830A (en) * 2011-12-14 2012-05-02 华南理工大学 Real-time wind power quality monitor
CN102636713A (en) * 2012-04-05 2012-08-15 上海市电力公司 Monitoring method for electric energy quality of distributed wind power generation
CN203101531U (en) * 2012-11-05 2013-07-31 中国电力科学研究院 Wind power plant power quality monitoring system based on time series database platform
CN103336215A (en) * 2013-07-24 2013-10-02 国家电网公司 Method for carrying out online monitoring on data of electric energy quality
EP2670022A2 (en) * 2012-06-01 2013-12-04 LSIS Co., Ltd. Power monitoring system and method of displaying power system information
CN104111388A (en) * 2014-06-20 2014-10-22 国家电网公司 Wind power plant energy storage testing system and evaluation method
CN106156945A (en) * 2016-06-27 2016-11-23 国网辽宁省电力有限公司电力科学研究院 Wind energy turbine set electric energy quality monitoring data statistical approach based on power interval

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102435830A (en) * 2011-12-14 2012-05-02 华南理工大学 Real-time wind power quality monitor
CN102636713A (en) * 2012-04-05 2012-08-15 上海市电力公司 Monitoring method for electric energy quality of distributed wind power generation
EP2670022A2 (en) * 2012-06-01 2013-12-04 LSIS Co., Ltd. Power monitoring system and method of displaying power system information
CN203101531U (en) * 2012-11-05 2013-07-31 中国电力科学研究院 Wind power plant power quality monitoring system based on time series database platform
CN103336215A (en) * 2013-07-24 2013-10-02 国家电网公司 Method for carrying out online monitoring on data of electric energy quality
CN104111388A (en) * 2014-06-20 2014-10-22 国家电网公司 Wind power plant energy storage testing system and evaluation method
CN106156945A (en) * 2016-06-27 2016-11-23 国网辽宁省电力有限公司电力科学研究院 Wind energy turbine set electric energy quality monitoring data statistical approach based on power interval

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
中华人民共和国国家质量监督检验检疫总局: "《GB/T 19963-2011 风电场接入电力系统技术规定》", 31 December 2011 *
吴素农: "《分布式电源控制与运行》", 31 March 2012, 中国电力出版社 *
毛克胜 等: "《牵引供电综合自动化技术》", 31 October 2007, 西南交通大学出版社 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109004659A (en) * 2017-06-07 2018-12-14 广东电网有限责任公司佛山供电局 A kind of distribution transforming active load imbalance judgment method based on metering centralized meter reading terminal data
CN108053095A (en) * 2017-11-22 2018-05-18 全球能源互联网研究院有限公司 A kind of electrical energy power quality disturbance affair character extracting method and system
CN108053095B (en) * 2017-11-22 2024-03-19 全球能源互联网研究院有限公司 Power quality disturbance event feature extraction method and system
CN110110961A (en) * 2019-03-26 2019-08-09 国网河北省电力有限公司沧州供电分公司 Power quality data monitoring method, device and terminal device
CN112428864A (en) * 2020-12-21 2021-03-02 深圳威迈斯新能源股份有限公司 Intelligent power grid quality identification and self-adaptive control method and vehicle-mounted OBC power transmission architecture
CN112924798A (en) * 2021-02-08 2021-06-08 北京中电普华信息技术有限公司 Power quality monitoring method and device and electronic equipment
CN112924798B (en) * 2021-02-08 2022-11-08 北京中电普华信息技术有限公司 Power quality monitoring method and device and electronic equipment
CN113586423A (en) * 2021-09-08 2021-11-02 广东鑫钻节能科技股份有限公司 Electric energy stability monitoring system for air compressor
CN113586423B (en) * 2021-09-08 2022-05-10 广东鑫钻节能科技股份有限公司 Electric energy stability monitoring system for air compressor
CN115097301A (en) * 2022-06-22 2022-09-23 佛山众陶联供应链服务有限公司 Ceramic raw material workshop intermittent ball mill early warning method and system

Similar Documents

Publication Publication Date Title
CN106556777A (en) Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line
Diao et al. Decision tree-based online voltage security assessment using PMU measurements
CN104730458B (en) Generator excited system state monitoring method
CN105205232A (en) RTDS (real time digital simulator) based stability simulation testing platform for micro grid system
CN114994441B (en) Intelligent electric power efficiency monitoring device
Kamdar et al. Transient stability analysis and enhancement of IEEE-9 bus system
EP2381094A1 (en) Energy network and control thereof
Ameur et al. Steady state and dynamic analysis of renewable energy integration into the grid using pss/e software
CN108167135A (en) Marine wind electric field fan auxiliary control system, method and device
CN109752629B (en) Intelligent diagnosis method and system for power grid measurement problems
CN104821789A (en) Method for detecting reliability of photovoltaic power generation system
Liu et al. Design of wind turbine dynamic trip-off risk alarming mechanism for large-scale wind farms
CN111209535B (en) Power equipment successive fault risk identification method and system
Bracale et al. Probabilistic short circuit analysis in electric power distribution systems including distributed generation
Dmitrova et al. Early prevention method for power system instability
Sun et al. Overview of power system operational reliability
CN104834305A (en) Distribution network automated terminal telemetering abnormity analyzing system and method based on DMS system
Gholami et al. Active distribution management system
CN107171371A (en) A kind of method for controlling power supply and device for realizing oil machine and battery
CN107465206A (en) A kind of anti-isolated island recognition methods of wind power plant based on harmonic impedance matrix and its system
Naik et al. Identification of coherent generator groups in power system networks with windfarms
CN116449146A (en) Power system transmission line fault online analysis method
Wu et al. Monitoring power system transient stability using synchrophasor data
CN111146779B (en) Flexible safety control method and system for large power grid with successive faults of power equipment
Rüeger et al. Lyapunov exponent for evaluation and ranking of the severity of grid events on extra-large power systems

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20170405