CN107612032A - A kind of wind-electricity integration power quality supervisory information system and method based on two-state control - Google Patents

A kind of wind-electricity integration power quality supervisory information system and method based on two-state control Download PDF

Info

Publication number
CN107612032A
CN107612032A CN201710975183.2A CN201710975183A CN107612032A CN 107612032 A CN107612032 A CN 107612032A CN 201710975183 A CN201710975183 A CN 201710975183A CN 107612032 A CN107612032 A CN 107612032A
Authority
CN
China
Prior art keywords
power
wind
parameter
grid
information
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
CN201710975183.2A
Other languages
Chinese (zh)
Inventor
王灿
宁志毫
陈远扬
张可人
张斌
左剑
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.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd
State Grid Hunan Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd
State Grid Hunan Electric Power Co 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 State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd, State Grid Hunan Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201710975183.2A priority Critical patent/CN107612032A/en
Publication of CN107612032A publication Critical patent/CN107612032A/en
Pending legal-status Critical Current

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a kind of wind-electricity integration power quality supervisory information system and method based on two-state control, wherein, monitoring system includes:Wind-powered electricity generation data acquisition module, major network data acquisition module, grid-connected interface module, controller and stable compensation access terminal;Wind-powered electricity generation data acquisition module is used for the power information for gathering wind power generating set;Major network data acquisition module is used for the power quality parameter for gathering power network major network;Grid-connected interface module is used for the characteristic parameter for gathering the grid-connected place of wind power generating set and power network major network;Controller is used to generate power compensation information according to the power information of wind power generating set, and for the power quality parameter according to power network major network, characteristic parameter generation damping stable state compensated information;Stable compensation access terminal carries out stable state compensation control to grid-connected place according to power compensation information and damping stable state compensated information.The present invention realizes the bistable state compensation to the wind-electricity integration quality of power supply through the above way, and it is horizontal to improve the power network quality of power supply.

Description

A kind of wind-electricity integration power quality supervisory information system and method based on two-state control
Technical field
The invention belongs to wind power-generating grid-connected system, and in particular to a kind of wind-electricity integration electric energy matter based on two-state control Measure monitoring system and method.
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, and certain effect is brought to society Benefit, but because power system auxiliary facility imperfection, Wind turbines are unsatisfactory for the factors such as Grid-connection standards in itself, make Wind turbines pole Group off-grid easily occurs, the power shortage thereby resulted in carrys out extreme shock to network system frequency band.As wind-electricity integration is advised The expansion of mould, this impact are more and more obvious;For the wind power plant sent out at a distance, when wind power output is higher, a large amount of wind-powered electricity generations The remote of power is sent outside and line drop can be caused to increase, and the voltage stability margin of sending can reduce;When wind power output compared with Hour, the charge power of circuit can cause line end voltage higher, and voltage control is difficult.
To improve power network quality of power supply level, influence of the wind-electricity integration to the power network quality of power supply is reduced, has carried out power network Electric energy quality monitoring, realize the basic function of data acquisition and related power quality compensation.But utilize simultaneously network electric energy quality The research of extraction, analysis and identification and to operation of power networks horizontal comprehensive assessment etc. of the Monitoring Data to disturbance information is also It is not deep enough, and mainly for the power quality problem of grid-connected power network, without considering wind power generating set power pair simultaneously The influence of net.
The content of the invention
It is an object of the invention to provide a kind of wind-electricity integration computer Quality Monitoring Control System and method based on two-state control, While except monitoring grid-connected electric energy quality monitoring, wind power generator group function is also considered to grid-connected influence, so as to phase Control is adjusted with answering improves power network quality of power supply level.
On the one hand, the present invention provides a kind of wind-electricity integration power quality supervisory information system based on two-state control, including:Wind Electric data collecting module, major network data acquisition module, grid-connected interface module, controller and stable compensation access terminal;
Wherein, wind-powered electricity generation data acquisition module, major network data acquisition module, grid-connected interface module and stable compensation access terminal It is connected with the controller, the stable compensation access terminal is also connected with the grid-connected interface module;
The wind-powered electricity generation data acquisition module is used for the power information for gathering wind power generating set, and sends the control to Device;
The major network data acquisition module is used for the power quality parameter for gathering power network major network, and sends the control to Device;
The grid-connected interface module is used for the feature for gathering the grid-connected place of the wind power generating set and the power network major network Parameter, and send the controller to;
Wherein, the characteristic parameter includes device parameter and ambient parameter;
The controller is used to generate power compensation information according to the power information of wind power generating set, and for basis Power quality parameter, the characteristic parameter generation damping stable state compensated information of power network major network, and be used for the power compensation information The stable compensation access terminal is sent to the damping stable state compensated information;
The stable compensation access terminal is according to the power compensation information and the damping stable state compensated information to grid-connected Place carries out stable state compensation control.
Wherein, the power information of wind power generating set obtains in the following way:Wind-powered electricity generation data collecting module collected wind-force The magnitude of voltage and current value of the middle measured point of generating set, and calculate corresponding power.
Preferably, the controller is provided with wind-powered electricity generation analytic unit, and the stable compensation access terminal is provided with synchronous mend Repay device;
Wherein, the wind-powered electricity generation analytic unit is used to calculate wind-power electricity generation according to the power information of the wind power generating set The power decrement of unit, and judge whether the power decrement exceedes threshold value, if exceeding threshold value, generation power back-off letter Breath;
The synchronous compensator carries out power back-off according to the power compensation information to grid-connected place.
The wind-powered electricity generation analytic unit subtracts for the power information to be obtained into power compared with the power information to prestore On a small quantity, it is preferable to carry out how much difference power mends how many modes, such as power decrement is quantity of power to be compensated.
Preferably, the controller is provided with major network analytic unit, and it is steady that the stable compensation access terminal is provided with system Determine device;
The major network analytic unit is used to judge grid-connected match somebody with somebody according to the power quality parameter and characteristic parameter analysis Whether electricity is abnormal, if abnormal, carries out abnormal positioning, and for steady according to the generation damping of the power quality parameter of the power network major network State compensated information;
The system stabilizer carries out transient stability compensation according to the damping stable state compensated information to grid-connected place.
Wherein, controller also includes evaluation unit, and evaluation unit judges that grid-connected distribution is no different for major network analytic unit When normal or wind power generating set power decrement is not less than threshold value, the wind-electricity integration quality of power supply is evaluated, it was evaluated Journey includes step 31- steps 36.
Preferably, the system stabilizer has measurement filter circuit, phase compensating circuit, gain adjusting circuit, isolation letter Block isolating circuit and the amplitude limiter circuit composition of number stationary value, wherein using motor speed deviation, to export, grid-connected place's major network voltage is Output.
Wherein, the motor in motor speed deviation is the motor of wind power generating set.It is preferred that synchronous compensator is become by coupling The direct current of energy storage device is converted into one group of three-phase alternating current output voltage by depressor and voltage source inverter composition, synchronous compensator, By the amplitude and phase of the voltage for adjusting bridge rectifier AC, the reactive current for meeting to require is sent, is realized grid-connected Power back-off.
On the other hand, the present invention also provides a kind of wind-electricity integration electric energy quality monitoring method based on two-state control, its It is characterised by:Comprise the following steps:
Step 1:Gather power information, the power quality parameter and wind-driven generator of power network major network of wind power generating set The characteristic parameter at the grid-connected place of group and power network major network;
Wherein, characteristic parameter includes device parameter and ambient parameter;
Step 2:Power compensation information is generated according to the power information of wind power generating set in step 1, and according to step 1 Power quality parameter, the characteristic parameter generation damping stable state compensated information of middle power network major network;
Step 3:According to the power compensation information and the damping stable state compensated information to wind power generating set and power network The grid-connected place of major network carries out stable state compensation control.
Preferably, the process that stable compensated information is generated in step 2 is as follows:
The power information of the wind power generating set gathered according to step 1 calculates the power decrement of wind power generating set, And judge whether the power decrement exceedes threshold value, if exceeding threshold value, generate power compensation information;It is right not above threshold value The wind-electricity integration quality of power supply is evaluated;
The power quality parameter of the power network major network gathered according to step 1 and wind power generating set and power network major network it is grid-connected The characteristic parameter at place judges whether grid-connected distribution is abnormal, if abnormal, carries out abnormal positioning, and according to the electric energy of the power network major network Mass parameter generation damping stable state compensated information;If not abnormal, the wind-electricity integration quality of power supply is evaluated.
Wherein, the power information is obtained into power decrement compared with the power information to prestore, and described in judgement Whether power decrement is more than threshold value, if being more than threshold value, generates power compensation information.Threshold value is the spy being empirically derived out Fixed number value.
Preferably, power quality parameter and the characteristic parameter analysis gathered according to step 1 judges whether grid-connected distribution is abnormal, If abnormal, the process positioned extremely comprises the following steps:
Step 21:The early warning knowledge base and performance prediction model of electric energy quality monitoring are called, in the early warning knowledge base Including warning index and its standard value, abnormity diagnosis rule, the abnormity diagnosis rule is got over line situation including warning index and corresponded to Abnormal cause event;
Step 22:Power quality parameter, ambient parameter, device parameter are compared with the standard value of setting respectively, such as Any value that is above standard of fruit then sends warning;
Step 23:The predicted value of power quality index, and bonding apparatus parameter and environment are calculated according to performance prediction model Parameter carries out trend analysis to grid-connected Monitoring Data and obtains grid-connected trend analysis result;
Step 24:From early warning knowledge base select warning index, by and trend analysis result carry out warning index meter Calculate, and the calculated value of warning index is obtained to the out-of-limit feelings of each warning index compared with the standard value in early warning knowledge base Condition;
Step 25:According to warning index result of calculation and out-of-limit situation, match abnormity diagnosis rule in early warning knowledge base and know Other abnormal cause event completes abnormal positioning.
Preferably, if judging that grid-connected distribution is without exception or the power decrement of wind power generating set is not less than threshold value, The wind-electricity integration quality of power supply is evaluated;
Wherein, it is as follows to the process of wind-electricity integration quality of power supply evaluation:
Step 31:Power quality parameter, device parameter and the ambient parameter gathered to step 1 verifies, and obtains The once power parameter of the wind power generating set after grid-connected place's power back-off;
Step 32:Establishing includes the stereoscopic level structure of the hierarchical relationship between every evaluation index, the evaluation index The directly or indirectly power parameter of the wind power generating set after power quality parameter, compensation, ambient parameter and equipment ginseng Number;
Step 33:Calculating scoring individually is carried out to every evaluation index;
Step 34:Two are carried out to the desired value of the evaluation index of same level in stereoscopic level result according to triple assessment method Two compare, and comparator matrix C is established according to comparative result, calculate in comparator matrix C importance between element, comparator matrix is converted to Judgment matrix;
Step 35:Obtain the relative weighting of evaluation index in each level, and carry out consistency desired result, if verification not by, Then redirect and perform step 34, if verification passes through, redirect and perform step 36;
Step 36:Weight coefficient is corrected, and grid-connected electric energy is calculated according to the scoring of every evaluation index and weight coefficient Comprehensive effectiveness.
Wherein, the power parameter of the wind power generating set after power quality parameter and compensation is primary element, ambient parameter It is minor element with device parameter, power quality parameter includes frequency quality, tri-phase unbalance factor, harmonic content, voltage pulsation Amplitude.
Preferably, step 35 comprises the following steps:
Step 41:The eigenvalue of maximum λ max of judgment matrix described in obtaining step 34;
Step 42:Obtain characteristic vector W corresponding to the eigenvalue of maximum λ max;
Wherein, it is the quantity of evaluation index that the characteristic vector W, which includes n weight vectors Wi, n,;
Step 43:The characteristic vector W according to step 42 obtains each evaluation index on the relative of upper level index Weight;
Step 44:Consistency check is carried out to characteristic vector W using specific formulation, if verification is not by redirecting execution Step 34, if verification passes through, redirect and perform step 36;
Wherein, the specific formulation for consistency check is as follows:
DI=(λ max-b)/(b-1)
Wherein, DI is compatibility index, and b is the quantity of weight phasor;As DI < 0.2, receive the consistent of judgment matrix Property;As DI >=0.2, judgment matrix should be made an amendment again, then that weight is recalculated to the matrix after correction is consistent with progress Property examine and received until uniformity.
Preferably, the comparator matrix in step 34 is as follows:
Wherein, the rule of triple assessment method is:
Wherein, cijFor the desired value a of i-th of evaluation index in certain layer of indexiWith the desired value a of j-th of evaluation indexj's Comparative result, aiFor the desired value of i-th of evaluation index in certain layer of index, ajFor the index of j-th of evaluation index in certain layer of index Value, aiAnd ajFor same layer Index element, n is the dimension of comparator matrix.
Wherein, C={ (cij)}。
Beneficial effect
Compared with existing Forecasting Methodology, present invention tool has the advantage that:The present invention gets the power of wind power generating set The characteristic parameter at the grid-connected place of information, the power quality parameter of power network major network and wind power generating set and power network major network and judgement Go out it is grid-connected match somebody with somebody electrical anomaly after, generate damping stable state compensated information and power compensation information compensate, the present invention can interpolate that Go out whether grid-connected distribution abnormal, and considered simultaneously power network major network the quality of power supply and wind power generating set power pair simultaneously The influence of net and correspondingly carry out bistable state compensation, improve the power network quality of power supply level, in addition, the present invention can analyze judgement Whether abnormal go out grid-connected distribution, and carry out abnormal positioning and evaluation, obtain the comprehensive effectiveness of grid-connected power network, get in time simultaneously The situation of net power network.
Brief description of the drawings
Fig. 1 is a kind of wind-electricity integration power quality supervisory information system based on two-state control provided in an embodiment of the present invention Block diagram;
Fig. 2 is a kind of wind-electricity integration electric energy quality monitoring method based on two-state control provided in an embodiment of the present invention One flow chart;
Fig. 3 is a kind of wind-electricity integration electric energy quality monitoring method based on two-state control provided in an embodiment of the present invention Another flow chart;
Fig. 4 is the flow chart provided in an embodiment of the present invention for judging whether grid-connected distribution is abnormal;
Fig. 5 is the flow chart provided in an embodiment of the present invention evaluated the wind-electricity integration quality of power supply.
Embodiment
Below in conjunction with embodiment, the present invention is described further.
As shown in figure 1, the wind-electricity integration computer Quality Monitoring Control System based on two-state control of the present embodiment includes wind-powered electricity generation Data acquisition module, major network data acquisition module, grid-connected interface module, controller and stable compensation access terminal, wherein, wind-powered electricity generation Data acquisition module, major network data acquisition module, grid-connected interface module and stable compensation access terminal are connected with controller, surely Surely compensation access terminal is also connected with grid-connected interface module, and grid-connected interface module connects respectively with wind power generating set and power network major network Connect.
Wherein, wind-powered electricity generation data acquisition module is connected with wind power generating set, and the power for gathering wind power generating set is believed Breath, and send controller to;Major network data acquisition module is connected with wind power generating set, for gathering the electric energy matter of power network major network Parameter is measured, and sends controller to;Grid-connected interface module is used for the spy for gathering the grid-connected place of wind power generating set and power network major network Parameter is levied, and sends controller to, characteristic parameter includes device parameter and ambient parameter.
Specifically, the gatherer process of the power information of wind power generating set is:Wind-powered electricity generation data collecting module collected wind-force is sent out The magnitude of voltage and current value of the middle measured point of group of motors, and calculate corresponding power.The power quality parameter bag of power network major network Include but be not restricted to frequency quality, tri-phase unbalance factor, harmonic content, voltage pulsation amplitude.Device parameter does not limit still Numbering, model, the numbering of power network major network etc. in Wind turbines.Ambient parameter includes but is not restricted to temperature, wind speed etc..
Controller is used to generate power compensation information according to the power information of wind power generating set, and for according to power network Power quality parameter, the characteristic parameter generation damping stable state compensated information of major network, and for power compensation information and damping is steady State compensated information is sent to stable compensation access terminal, and the stable access terminal that compensates is mended according to power compensation information and damping stable state Repay information and stable state compensation control is carried out to grid-connected place.
Specifically, controller includes wind-powered electricity generation analytic unit and major network analytic unit, the stable access terminal that compensates includes system Stabilizer and synchronous compensator.
Wherein, wind-powered electricity generation analytic unit is used to calculate wind power generating set according to the power information of the wind power generating set Power decrement, and judge whether the power decrement exceedes threshold value, if exceeding threshold value, generate power compensation information, Synchronous compensator carries out power back-off according to power compensation information to grid-connected place.Specifically, wind-powered electricity generation analytic unit is used for power Information obtains power decrement compared with the power information to prestore.Synchronous compensator is by coupling transformer and voltage source inverter Device is formed, and the direct current of energy storage device is converted into one group of three-phase alternating current output voltage by synchronous compensator, by adjusting bridge rectifier The amplitude and phase of the voltage of circuit AC side, the reactive current for meeting to require is sent, realizes grid-connected power back-off.
Major network analytic unit is used to judge whether grid-connected distribution is abnormal according to power quality parameter and characteristic parameter analysis, if It is abnormal, abnormal positioning is carried out, and for generating damping stable state compensated information according to the power quality parameter of power network major network, system is steady Determine device and transient stability compensation is carried out to grid-connected place according to damping stable state compensated information.System stabilizer have measurement filter circuit, Phase compensating circuit, gain adjusting circuit, the block isolating circuit of isolation signals stationary value and amplitude limiter circuit composition, wherein using motor Rotating speed deviation is output, and grid-connected place's major network voltage is output.
Wherein, major network analytic unit judges the whether abnormal procedure performance step 21- steps 25 of grid-connected distribution.Specifically, Major network analytic unit includes:
Call unit:For calling the early warning knowledge base and performance prediction model of electric energy quality monitoring, the early warning is known Knowing storehouse includes warning index and its standard value, abnormity diagnosis rule, and the abnormity diagnosis rule gets over line feelings including warning index Abnormal cause event corresponding to condition.Wherein early warning knowledge base and performance prediction model can be building temporarily or pre- First build.
Alarm unit:For the standard value of power quality parameter, ambient parameter, device parameter respectively with setting to be compared It is right, send warning if any value that is above standard.
Trend analysis unit:For calculating the predicted value of power quality index, and bonding apparatus according to performance prediction model Parameter and ambient parameter carry out trend analysis to grid-connected Monitoring Data and obtain grid-connected trend analysis result.
Early warning analysis unit:For selecting warning index from early warning knowledge base, by and trend analysis result carry out it is pre- The calculating of alert index, and the calculated value of warning index is obtained into each early warning compared with the standard value in early warning knowledge base and referred to The out-of-limit situation of target, and for according to warning index result of calculation and out-of-limit situation, matching abnormity diagnosis in early warning knowledge base Rule identification abnormal cause event completes abnormal positioning.
Wherein, controller also includes evaluation unit, and evaluation unit judges that grid-connected distribution is no different for major network analytic unit When normal or wind power generating set power decrement is not less than threshold value, the wind-electricity integration quality of power supply is evaluated, it was evaluated Journey includes step 31- steps 36.Specifically, evaluation unit includes:
Verification unit:Power quality parameter, device parameter and ambient parameter for being gathered to step 1 verify, and Obtain the power parameter of the wind power generating set after last grid-connected place's power back-off;
Construction unit:Include the stereoscopic level structure of the hierarchical relationship between every evaluation index, institute's commentary for establishing Valency index directly or indirectly the power parameter of wind power generating set after power quality parameter, compensation, ambient parameter and Device parameter;
Index scoring unit:For individually carrying out calculating scoring to every evaluation index;
Judgment matrix generation unit:For the evaluation index according to triple assessment method to same level in stereoscopic level result Desired value compared two-by-two, comparator matrix C is established according to comparative result, calculates in comparator matrix C importance between element, will Comparator matrix is converted to judgment matrix;
Weight calculation unit:For obtaining the relative weighting of evaluation index in each level, and carry out consistency desired result.
Comprehensive effectiveness computing unit, for correcting weight coefficient, and the scoring according to every evaluation index and weight coefficient Calculate the comprehensive effectiveness of grid-connected electric energy.
It please see Figure 2, a kind of wind-electricity integration electric energy quality monitoring method based on two-state control of the present embodiment, including such as Lower step:
Step 1:Gather power information, the power quality parameter and wind-driven generator of power network major network of wind power generating set The characteristic parameter at the grid-connected place of group and power network major network;
Step 2:Power compensation information is generated according to the power information of wind power generating set in step 1, and according to step 1 Power quality parameter, the characteristic parameter generation damping stable state compensated information of middle power network major network;
Step 3:According to the power compensation information and the damping stable state compensated information to wind power generating set and power network The grid-connected place of major network carries out stable state compensation control.
Wherein, characteristic parameter includes device parameter and ambient parameter;Stable compensated information includes damping stable state compensated information And power compensation information.
Wherein, second of a kind of wind-electricity integration electric energy quality monitoring method based on two-state control as shown in Figure 3 Flow chart, understood with reference to figure 3, the process that stable compensated information is generated in step 2 is as follows:
The power information of the wind power generating set gathered according to step 1 calculates the power decrement of wind power generating set, And judge whether the power decrement exceedes threshold value, if exceeding threshold value, generate power compensation information and perform alarm police Show;If being no more than threshold value, the wind-electricity integration quality of power supply is evaluated;
The power quality parameter of the power network major network gathered according to step 1 and wind power generating set and power network major network it is grid-connected The characteristic parameter at place judges whether grid-connected distribution is abnormal, if abnormal, carries out abnormal positioning, and according to the electric energy of the power network major network Mass parameter generation damping stable state compensated information and execution alarm warning;If without exception, the wind-electricity integration quality of power supply is entered Row evaluation.
Wherein, the power information is obtained into power decrement compared with the power information to prestore, and described in judgement Whether power decrement is more than threshold value, if being more than threshold value, generates power compensation information.How much it is preferable to carry out the how many benefits of difference power Mode, such as power decrement is quantity of power to be compensated.
As shown in figure 4, power quality parameter and the characteristic parameter analysis gathered according to step 1 judges whether grid-connected distribution is different Often, if abnormal, the process positioned extremely comprises the following steps:
Step 21:The early warning knowledge base and performance prediction model of electric energy quality monitoring are called, in the early warning knowledge base Including warning index and its standard value, abnormity diagnosis rule, the abnormity diagnosis rule is got over line situation including warning index and corresponded to Abnormal cause event;
Wherein performance prediction model is the multiple linear regression parameter model of quality of power supply function.
Step 22:Power quality parameter, ambient parameter, device parameter are compared with the standard value of setting respectively, such as Any value that is above standard of fruit then sends warning;
Step 23:The predicted value of power quality index, and bonding apparatus parameter and environment are calculated according to performance prediction model Parameter carries out trend analysis to grid-connected Monitoring Data and obtains grid-connected trend analysis result;
Step 24:From early warning knowledge base select warning index, by and trend analysis result carry out warning index meter Calculate, and the calculated value of warning index is obtained to the out-of-limit feelings of each warning index compared with the standard value in early warning knowledge base Condition;
Step 25:According to warning index result of calculation and out-of-limit situation, match abnormity diagnosis rule in early warning knowledge base and know Other abnormal cause event completes abnormal positioning.
It was found from above-mentioned steps, step 21 has considered the apparatus factor for influenceing the quality of power supply, environmental factor, and simultaneously The power of wind power generating set is also contemplated, and when occurring abnormal, pass through the early warning knowledge base and performance prediction model of foundation Abnormal positioning certainly can be realized, after abnormal fixation and recognition goes out abnormal cause event, sends instructions to stable compensation access eventually End carries out transient stability compensation.Specifically include and correspondingly carried out damping stable state compensation and power benefit according to abnormal cause event Repay, wherein having preset abnormal cause event and having damped the corresponding relation between stable state compensation.
If as shown in figure 5, judge that grid-connected distribution is without exception or the power decrement of wind power generating set is not less than threshold value, The process then evaluated the wind-electricity integration quality of power supply includes step 31- steps 36:
Step 31:Power quality parameter, device parameter and the ambient parameter gathered to step 1 verifies, and obtains The once power parameter of the wind power generating set after grid-connected place's power back-off;
Step 32:Establishing includes the stereoscopic level structure of the hierarchical relationship between every evaluation index, the evaluation index The directly or indirectly power parameter of the wind power generating set after power quality parameter, compensation, ambient parameter and equipment ginseng Number;
Wherein, the power parameter of the wind power generating set after power quality parameter and compensation is primary element, ambient parameter It is minor element with device parameter, power quality parameter includes frequency quality, tri-phase unbalance factor, harmonic content, voltage pulsation Amplitude.
Step 33:Calculating scoring individually is carried out to every evaluation index;
Step 34:Two are carried out to the desired value of the evaluation index of same level in stereoscopic level result according to triple assessment method Two compare, and comparator matrix C is established according to comparative result, calculate in comparator matrix C importance between element, comparator matrix is converted to Judgment matrix;
Step 35:Obtain the relative weighting of evaluation index in each level, and carry out consistency desired result, if verification not by, Then redirect and perform step 34, if verification passes through, redirect and perform step 36;
Step 36:Weight coefficient is corrected, and grid-connected electric energy is calculated according to the scoring of every evaluation index and weight coefficient Comprehensive effectiveness.
Wherein, the comparator matrix in step 34 is as follows:
Wherein, triple assessment method is specifically used for calculating the importance in comparator matrix C between element, the rule of triple assessment method For:
Wherein, cijFor the desired value a of i-th of evaluation index in certain layer of indexiWith the desired value a of j-th of evaluation indexj's Comparative result, aiFor the desired value of i-th of evaluation index in certain layer of index, ajFor the index of j-th of evaluation index in certain layer of index Value, aiAnd ajFor same layer Index element, n is the dimension of comparator matrix.
Wherein, the relative weighting of evaluation index in each level is obtained in step 35, and carries out the specific mistake of consistency desired result Journey comprises the following steps:
Step 41:The eigenvalue of maximum λ max of judgment matrix described in obtaining step 34;
Step 42:Obtain characteristic vector W corresponding to the eigenvalue of maximum λ max;
Wherein, it is the quantity of evaluation index that the characteristic vector W, which includes n weight vectors Wi, n,;
Step 43:The characteristic vector W according to step 42 obtains each evaluation index on the relative of upper level index Weight;
Step 44:Consistency check is carried out to characteristic vector W using specific formulation, if verification is not by redirecting execution Step 34, if verification passes through, redirect and perform step 36;
Wherein, the specific formulation for consistency check is as follows:
DI=(λ max-b)/(b-1)
Wherein, DI is compatibility index, and b is the quantity of weight phasor;As DI < 0.2, receive the consistent of judgment matrix Property;As DI >=0.2, judgment matrix should be made an amendment again, then that weight is recalculated to the matrix after correction is consistent with progress Property examine and received until uniformity.
The present invention is sent out by gathering the power information of wind power generating set, the power quality parameter of power network major network and wind-force The characteristic parameter at the grid-connected place of group of motors and power network major network obtains damping stable state compensated information and power compensation information compensates, The quality of power supply and wind power generating set power for having considered power network major network correspondingly carry out bistable to grid-connected influence State compensates.
It is emphasized that example of the present invention is illustrative, rather than it is limited, therefore the present invention is unlimited Example described in embodiment, it is every drawn by those skilled in the art's technique according to the invention scheme other Embodiment, present inventive concept and scope are not departed from, whether modification or replace, also belong to protection model of the invention Enclose.

Claims (10)

  1. A kind of 1. wind-electricity integration power quality supervisory information system based on two-state control, it is characterised in that:Including:Wind-powered electricity generation data are adopted Collect module, major network data acquisition module, grid-connected interface module, controller and stable compensation access terminal;
    Wherein, wind-powered electricity generation data acquisition module, major network data acquisition module, grid-connected interface module and stable compensation access terminal with The controller connection, the stable compensation access terminal are also connected with the grid-connected interface module;
    The wind-powered electricity generation data acquisition module is used for the power information for gathering wind power generating set, and sends the controller to;
    The major network data acquisition module is used for the power quality parameter for gathering power network major network, and sends the controller to;
    The grid-connected interface module is used for the characteristic parameter for gathering the grid-connected place of the wind power generating set and the power network major network, And send the controller to;
    Wherein, the characteristic parameter includes device parameter and ambient parameter;
    The controller is used to generate power compensation information according to the power information of wind power generating set, and for according to power network Power quality parameter, the characteristic parameter generation damping stable state compensated information of major network, and be used for the power compensation information and institute State damping stable state compensated information and be sent to the stable compensation access terminal;
    The stable compensation access terminal is entered according to the power compensation information and the damping stable state compensated information to grid-connected place The compensation control of row stable state.
  2. 2. system according to claim 1, it is characterised in that:The controller is provided with wind-powered electricity generation analytic unit, described steady Surely compensation access terminal is provided with synchronous compensator;
    Wherein, the wind-powered electricity generation analytic unit is used to calculate wind power generating set according to the power information of the wind power generating set Power decrement, and judge whether the power decrement exceedes threshold value, if exceeding threshold value, generate power compensation information;
    The synchronous compensator carries out power back-off according to the power compensation information to grid-connected place.
  3. 3. system according to claim 2, it is characterised in that:The controller is provided with major network analytic unit, described steady Surely compensation access terminal is provided with system stabilizer;
    The major network analytic unit is used to judge that grid-connected distribution is according to the power quality parameter and characteristic parameter analysis No exception, if abnormal, abnormal positioning is carried out, and mend for generating damping stable state according to the power quality parameter of the power network major network Repay information;
    The system stabilizer carries out transient stability compensation according to the damping stable state compensated information to grid-connected place.
  4. 4. system according to claim 3, it is characterised in that:The system stabilizer has measurement filter circuit, phase to mend Circuit, gain adjusting circuit, the block isolating circuit of isolation signals stationary value and amplitude limiter circuit composition are repaid, wherein inclined using motor speed Difference is output, and grid-connected place's major network voltage is output.
  5. A kind of 5. wind-electricity integration electric energy quality monitoring method based on two-state control, it is characterised in that:Comprise the following steps:
    Step 1:Gather the power information of wind power generating set, the power quality parameter of power network major network and wind power generating set and The characteristic parameter at the grid-connected place of power network major network;
    Wherein, characteristic parameter includes device parameter and ambient parameter;
    Step 2:Power compensation information is generated according to the power information of wind power generating set in step 1, and according to electric in step 1 Power quality parameter, the characteristic parameter generation damping stable state compensated information of host's net;
    Step 3:According to the power compensation information and the damping stable state compensated information to wind power generating set and power network major network Grid-connected place carry out stable state compensation control.
  6. 6. according to the method for claim 5, it is characterised in that:The process that stable compensated information is generated in step 2 is as follows:
    The power information of the wind power generating set gathered according to step 1 calculates the power decrement of wind power generating set, and sentences Whether the power decrement of breaking exceedes threshold value, if exceeding threshold value, generates power compensation information;Not above threshold value, to wind-powered electricity generation And network electric energy quality is evaluated;
    The power quality parameter of the power network major network gathered according to step 1 and the grid-connected place of wind power generating set and power network major network Characteristic parameter judges whether grid-connected distribution is abnormal, if abnormal, carries out abnormal positioning, and according to the quality of power supply of the power network major network Parameter generation damping stable state compensated information;If not abnormal, the wind-electricity integration quality of power supply is evaluated.
  7. 7. according to the method for claim 6, it is characterised in that:Power quality parameter and the feature ginseng gathered according to step 1 Number analysis judges whether grid-connected distribution is abnormal, if abnormal, the process positioned extremely comprises the following steps:
    Step 21:The early warning knowledge base and performance prediction model of electric energy quality monitoring are called, the early warning knowledge base includes Warning index and its standard value, abnormity diagnosis rule, the abnormity diagnosis rule are got over different corresponding to line situation including warning index Normal reason event;
    Step 22:Power quality parameter, ambient parameter, device parameter are compared with the standard value of setting respectively, if appointed One value that is above standard then sends warning;
    Step 23:The predicted value of power quality index, and bonding apparatus parameter and ambient parameter are calculated according to performance prediction model Trend analysis is carried out to grid-connected Monitoring Data and obtains grid-connected trend analysis result;
    Step 24:From early warning knowledge base select warning index, by and trend analysis result carry out warning index calculating, and The calculated value of warning index is obtained to the out-of-limit situation of each warning index compared with the standard value in early warning knowledge base;
    Step 25:According to warning index result of calculation and out-of-limit situation, it is different to match abnormity diagnosis rule identification in early warning knowledge base Normal reason event completes abnormal positioning.
  8. 8. according to the method for claim 6, it is characterised in that:If judging, grid-connected distribution is without exception or wind power generating set Power decrement not less than threshold value, then the wind-electricity integration quality of power supply is evaluated;
    Wherein, it is as follows to the process of wind-electricity integration quality of power supply evaluation:
    Step 31:Power quality parameter, device parameter and the ambient parameter gathered to step 1 verifies, and obtains the last time The power parameter of wind power generating set after grid-connected place's power back-off;
    Step 32:Establishing includes the stereoscopic level structure of the hierarchical relationship between every evaluation index, and the evaluation index is direct Or power parameter, ambient parameter and the device parameter of wind power generating set of the secondary source after power quality parameter, compensation;
    Step 33:Calculating scoring individually is carried out to every evaluation index;
    Step 34:The desired value of the evaluation index of same level in stereoscopic level result is compared two-by-two according to triple assessment method Compared with establishing comparator matrix C according to comparative result, calculate in comparator matrix C importance between element, comparator matrix is converted into judgement Matrix;
    Step 35:The relative weighting of evaluation index in each level is obtained, and carries out consistency desired result, if verification is not by jumping Turn to perform step 34, if verification passes through, redirect and perform step 36;
    Step 36:Weight coefficient is corrected, and the comprehensive of grid-connected electric energy is calculated according to the scoring of every evaluation index and weight coefficient Close efficiency.
  9. 9. according to the method for claim 8, it is characterised in that:Step 35 comprises the following steps:
    Step 41:The eigenvalue of maximum λ max of judgment matrix described in obtaining step 34;
    Step 42:Obtain characteristic vector W corresponding to the eigenvalue of maximum λ max;
    Wherein, it is the quantity of evaluation index that the characteristic vector W, which includes n weight vectors Wi, n,;
    Step 43:The characteristic vector W according to step 42 obtains relative weighting of each evaluation index on upper level index;
    Step 44:Consistency check is carried out to characteristic vector W using specific formulation, if verification is not by redirecting execution step 34, if verification passes through, redirect and perform step 36;
    Wherein, the specific formulation for consistency check is as follows:
    DI=(λ max-b)/(b-1)
    Wherein, DI is compatibility index, and b is weight phasor quantity;As DI < 0.2, receive the uniformity of judgment matrix;Work as DI When >=0.2, judgment matrix should be made an amendment again, then the matrix after correction is recalculated weight and carry out consistency check it is straight Received to uniformity.
  10. 10. according to the method for claim 8, it is characterised in that:Comparator matrix in step 34 is as follows:
    Wherein, the rule of triple assessment method is:
    Wherein, cijFor the desired value a of i-th of evaluation index in certain layer of indexiWith the desired value a of j-th of evaluation indexjComparison As a result, aiFor the desired value of i-th of evaluation index in certain layer of index, ajFor the desired value of j-th of evaluation index in certain layer of index, aiAnd ajFor same layer Index element, n is the dimension of comparator matrix.
CN201710975183.2A 2017-10-19 2017-10-19 A kind of wind-electricity integration power quality supervisory information system and method based on two-state control Pending CN107612032A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710975183.2A CN107612032A (en) 2017-10-19 2017-10-19 A kind of wind-electricity integration power quality supervisory information system and method based on two-state control

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710975183.2A CN107612032A (en) 2017-10-19 2017-10-19 A kind of wind-electricity integration power quality supervisory information system and method based on two-state control

Publications (1)

Publication Number Publication Date
CN107612032A true CN107612032A (en) 2018-01-19

Family

ID=61077063

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710975183.2A Pending CN107612032A (en) 2017-10-19 2017-10-19 A kind of wind-electricity integration power quality supervisory information system and method based on two-state control

Country Status (1)

Country Link
CN (1) CN107612032A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110118898A (en) * 2018-02-05 2019-08-13 南京易司拓电力科技股份有限公司 A kind of electric energy quality monitoring method based on big data

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103647276A (en) * 2013-12-10 2014-03-19 国家电网公司 Electric energy quality early warning system and method thereof
CN204333976U (en) * 2015-01-06 2015-05-13 湖南工业大学 A kind of wind-electricity integration stability of a system and quality of power supply improving device
CN104701847A (en) * 2015-04-03 2015-06-10 国家电网公司 Parameter calculating method for induction filtering branch circuit of wind power plant access system
CN105634139A (en) * 2016-03-22 2016-06-01 中国大唐集团科学技术研究院有限公司 Intelligent micro grid control and electric energy quality monitoring integrated equipment
CN106384186A (en) * 2016-08-26 2017-02-08 国家电网公司 Distributed new energy grid-connected power quality monitoring method and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103647276A (en) * 2013-12-10 2014-03-19 国家电网公司 Electric energy quality early warning system and method thereof
CN204333976U (en) * 2015-01-06 2015-05-13 湖南工业大学 A kind of wind-electricity integration stability of a system and quality of power supply improving device
CN104701847A (en) * 2015-04-03 2015-06-10 国家电网公司 Parameter calculating method for induction filtering branch circuit of wind power plant access system
CN105634139A (en) * 2016-03-22 2016-06-01 中国大唐集团科学技术研究院有限公司 Intelligent micro grid control and electric energy quality monitoring integrated equipment
CN106384186A (en) * 2016-08-26 2017-02-08 国家电网公司 Distributed new energy grid-connected power quality monitoring method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
匡洪海等: "STATCOM-PSS控制对风电并网系统稳定性和电能质量改善", 《电源学报》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110118898A (en) * 2018-02-05 2019-08-13 南京易司拓电力科技股份有限公司 A kind of electric energy quality monitoring method based on big data

Similar Documents

Publication Publication Date Title
Chi et al. Overview of mechanism and mitigation measures on multi-frequency oscillation caused by large-scale integration of wind power
Li et al. An improved single-machine equivalent method of wind power plants by calibrating power recovery behaviors
Asmine et al. Model validation for wind turbine generator models
CN109031000A (en) A kind of method and system based on non-faulting disturbance In situ Measurement grid short circuit capacity
CN109001573B (en) Method for determining short-circuit capacity of collector bus of wind power plant
CN105119267B (en) A kind of power grid static voltage stability horizontal analysis method
CN106556777A (en) Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line
CN105701265B (en) A kind of double-fed fan motor unit modeling method and device
CN107612032A (en) A kind of wind-electricity integration power quality supervisory information system and method based on two-state control
CN107294096A (en) A kind of determination unit function coefficient method for considering alternating current filter
CN115659601A (en) Parameter identification method and device for single-machine equivalent grid-connected model of double-fed wind power plant
CN207368674U (en) A kind of wind-electricity integration power quality supervisory information system based on two-state control
CN114047442B (en) Fault ride-through detection method, device and system for new energy station
CN115632408A (en) Multi-mode oscillation analysis method of multi-energy power generation delivery system
CN115833089A (en) Wind power system subsynchronous oscillation risk assessment method based on series compensation resistor
Gao et al. Improved extended kalman filter based dynamic equivalent method of DFIG wind farm cluster
CN114696301A (en) Double-fed wind power plant output line single-phase grounding protection method and system
Zhou et al. Research of impact of the direct drive wind farm on power system relay protection
CN111999562A (en) Method for measuring system impedance by using generator phase-in operation
Ma et al. Cyber-physical Modeling Technique based Dynamic Aggregation of Wind Farm Considering LVRT Characteristic
Lu et al. Locating Sources of Sub-Synchronous Oscillations in Wind Farms Based on Instantaneous Energy Supply on Port and Bicoherence
CN116581757B (en) Load model modeling method and system considering high-proportion power electronic equipment
CN115085164B (en) Wind field outbound interactive protection method and system
Cao et al. Equivalence method for wind farm based on clustering of output power time series data
CN114172201B (en) Modular direct-driven fan control model structure identification method

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

Application publication date: 20180119

RJ01 Rejection of invention patent application after publication