CN105488631A - WAMS dynamic data based network source coordination online monitoring and assessment system - Google Patents
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Abstract
The invention discloses a WAMS dynamic data based network source coordination online monitoring and assessment system. The system comprises a primary frequency modulation monitoring module, an excitation system evaluation module, an AGC performance evaluation module, a wind power integration online monitoring module and a subsynchronous oscillation monitoring module. The primary frequency modulation response situations in daily and large-disturbance conditions are subjected to real-time statistics; a real-time operation state of a power generator, the low frequency oscillation suppression capability of a PSS of an excitation regulator, the operation alarming and limitation of the excitation regulator, the state and excitation pressure regulation of an excitation system and the like are calculated and assessed; indexes such as an AGC regulation rate, AGC regulation precision, AGC regulation time and the like of a power generator unit as well as grid-connection indexes such as an active power maximum variation of a wind power plant, high and low voltage ride through of a wind power unit, a frequency change of the wind power plant, voltage fluctuation of a grid-connection point and the like are calculated and analyzed; and a subsynchronous oscillation event is pre-warned. According to the system, auxiliary tools and convenient means are provided for power grid dispatching operation personnel to quickly locate network source coordination problems.
Description
Technical field
The invention belongs to Electrical Power System Dynamic monitoring field, be specifically related to a kind of net source based on electrical network wide-area monitoring systems (i.e. WAMS) dynamic data and coordinate on-line monitoring and evaluating system.
Background technology
In recent years, national alternating current-direct current extra-high voltage interconnected network is formed, and electrical network scale, generating capacity increase fast.Electrical network characteristic is increasingly sophisticated, and the method for operation is changeable, and power grid accident involves wide, complicated mechanism, and generator control characteristic and running status affect day by day remarkable on security of system stable operation.
Simultaneously, under current technological means and way to manage, there is part generate electricity machine excitation, regulating system performance is below standard, or the function of part power plant change regulator and parameter, (full name is AutomaticVoltageRegulator even to exit the AVR of unit, automatic voltage regulator), (full name is PowerSystemStabilizer to PSS, power system stabilizer, PSS) and the situation of the function such as primary frequency modulation, the performance index imperfection of the Adjusting system various functions of some power plant, does not consider the response characteristic of electrical network entirety.For ensureing electric power netting safe running, in-depth " net source coordinate " management, promotes generator dynamic adjustment performance, and on-line analysis, on-line monitoring are significant.Therefore, on-line monitoring and evaluating system is coordinated in the urgent need to studying a kind of net source based on WAMS dynamic data.
On-line monitoring and appraisal procedure are coordinated in current net source, evaluate mainly for the primary frequency modulation performance of genset and the performance of excitation system, neither one targetedly, the statistical analysis system of many-sided examination, and there is a larger problem: namely do not meet the requirement of Guo Tiao center about source net dynamic property on-line monitoring technique specification (allocating and transporting (2014) No. 32).This analytical approach can not show that analysis and assessment result is coordinated in net source comprehensively, there is larger one-sidedness.
Summary of the invention
The object of the invention is the foundation by coordinating on-line monitoring and evaluation index system based on the net source of WAMS dynamic data, solution net source coordinate index cannot the difficult problem of automatic analysis and assessment comprehensively.On-line monitoring is coordinated in the net source built and evaluating system convenience dispatching of power netwoks operations staff can carry out real-time monitoring to the source of net coordination degree greatly.
The present invention is concrete by the following technical solutions:
On-line monitoring and an evaluating system are coordinated in net source based on WAMS dynamic data, and on-line monitoring is coordinated in described net source and evaluating system comprises primary frequency modulation monitoring modular, excitation system evaluation module, Automation generation control performance evaluation module, wind-electricity integration performance on-line monitoring module and sub-synchronous oscillation monitoring modular; It is characterized in that:
Described primary frequency modulation monitoring modular, excitation system evaluation module, AGC performance evaluation module, wind-electricity integration performance on-line monitoring module are all connected with wide area measurement system WAMS with the input end of sub-synchronous oscillation monitoring modular, and output terminal is all connected to visual man-machine interface;
Described primary frequency modulation monitoring modular reads wide area measurement system WAMS time series real-time database data, real-time detection computations primary frequency modulation evaluation index, and exports described primary frequency modulation evaluation index to visual man-machine interface;
Described excitation system evaluation module reads wide area measurement system WAMS time series real-time database data, the evaluation index of real-time detection computations excitation system, and exports the evaluation index of described excitation system to visual man-machine interface;
Described AGC performance evaluation module reads wide area measurement system WAMS time series real-time database data, real detection computations AGC Performance Evaluating Indexes, and exports described AGC Performance Evaluating Indexes to visual man-machine interface;
Described wind-electricity integration performance on-line monitoring module reads wide area measurement system WAMS time series real-time database data, real-time detection computations wind-electricity integration performance monitoring index, and exports described wind-electricity integration performance monitoring index to visual man-machine interface;
Described sub-synchronous oscillation monitoring modular reads wide area measurement system WAMS time series history library data, calculated off-line sub-synchronous oscillation evaluation index, and exports described sub-synchronous oscillation evaluation index to visual man-machine interface.
Technical solution of the present invention makes full use of the feature of WAMS massive dynamic data, analyze net source from five the aspect comprehensive assessments of primary frequency modulation, excitation system, AGC performance, wind-electricity integration Performance Evaluation and sub-synchronous oscillation and coordinate situation, auxiliary dispatching operations staff reflects the degree that net source is coordinated and situation intuitively, all sidedly.
The present invention effectively can solve the problem that net source coordination monitoring and evaluation index is difficult to assess; The system built is as the subelement under the WAMS application of intelligent grid supporting system technology, providing convenience for management and running personnel grasp the indices coordinated in net source fast, providing the foundation of aid decision making specifically for analyzing net source coordination degree further.
Accompanying drawing explanation
Fig. 1 is the system architecture diagram that on-line monitoring and evaluating system are coordinated in net source of the present invention;
Fig. 2 is that on-line monitoring and evaluating system are coordinated in net source of the present invention and intelligent grid dispatching technique is supported and the relation schematic diagram of dispatching of power netwoks;
Fig. 3 is the functional block diagram of the primary frequency modulation monitoring modular of the present invention;
Fig. 4 is the functional block diagram of the excitation system evaluation module of the present invention;
Fig. 5 is the functional block diagram of the AGC performance evaluation module of the present invention;
Fig. 6 is unit response process schematic diagram;
Fig. 7 is the functional block diagram of the wind-electricity integration performance on-line monitoring module of the present invention;
Fig. 8 is the functional block diagram of the sub-synchronous oscillation monitoring modular of the present invention;
Fig. 9 is the visualization interface block diagram that the structure composition of on-line monitoring and evaluating system is coordinated in net source of the present invention.
Embodiment
Below in conjunction with Figure of description, technical scheme of the present invention is described in further details.
The present invention is applicable to implement to deploy intelligent grid supporting system technology platform and deploys the electrical network of WAMS application.Net source coordinate on-line monitoring and evaluating system belong to WAMS apply under a subelement, based on intelligent grid supporting system technology platform, coordinating on-line monitoring and evaluating system by net source is that management and running personnel grasp the indices coordinated in net source fast and provide convenience, and provides the foundation of aid decision making specifically for analyzing net source coordination degree further.
Net source of the present invention coordination on-line monitoring and evaluating system are as shown in Figure 1.On-line monitoring is coordinated in a kind of net source based on WAMS dynamic data disclosed by the invention and evaluating system comprises primary frequency modulation monitoring modular, excitation system evaluation module, AGC performance evaluation module, wind-electricity integration on-line monitoring module and sub-synchronous oscillation monitoring modular.
Described primary frequency modulation monitoring modular, excitation system evaluation module, AGC performance evaluation module, wind-powered electricity generation Reactive-power control ability monitoring modular are all connected with wide area measurement system WAMS with the input end of sub-synchronous oscillation monitoring modular, and output terminal is all connected to visual man-machine interface;
Described primary frequency modulation monitoring modular reads wide area measurement system WAMS time series real-time database data, real-time detection computations primary frequency modulation evaluation index, and exports described evaluation index to visual man-machine interface;
Described excitation system evaluation module reads wide area measurement system WAMS time series real-time database data, the evaluation index of real-time detection computations excitation system, and exports described evaluation index to visual man-machine interface;
Described AGC performance evaluation module reads wide area measurement system WAMS time series real-time database data, real detection computations AGC Performance Evaluating Indexes, and exports described evaluation index to visual man-machine interface;
Described wind-electricity integration on-line monitoring module reads wide area measurement system WAMS time series real-time database data, real-time detection computations wind-powered electricity generation Reactive-power control indexes of capability evaluation, and exports described evaluation index to visual man-machine interface;
Described sub-synchronous oscillation monitoring modular reads wide area measurement system WAMS time series history library data, calculated off-line sub-synchronous oscillation evaluation index, and exports described evaluation index to visual man-machine interface.
The linkage function relation of system and dispatching of power netwoks operations staff and intelligent scheduling technology back-up system as shown in Figure 2.Dispatching of power netwoks operations staff, by signing in intelligent grid supporting system technology, has access to WAMS application key frame, by operation " monitoring is coordinated in net source " button, signs in net source and coordinates on-line monitoring and evaluating system.In this system, comprise independent five the sub-function interfaces of primary frequency modulation, excitation system, AGC performance, wind-electricity integration performance and sub-synchronous oscillation analysis, can check and analyze the corresponding function business that on-line monitoring and evaluating system are coordinated in net source respectively.
Below technical scheme of the present invention is described in further detail:
The present invention uses that on-line monitoring and appraisal procedure and software architecture are coordinated in the net source based on WAMS dynamic data based on intelligent grid supporting system technology platform, on-line monitoring and evaluation index system, the read and write access technology of domestic commercial data base and the access technique of WAMS time series real-time database are coordinated in net source, finally can build formation based on the net source coordination on-line monitoring of WAMS dynamic data and evaluating system.
The primary frequency modulation monitoring modular in on-line monitoring and evaluating system is coordinated in net source, and its functional block diagram as shown in Figure 3.Described primary frequency modulation monitoring modular reads configuration information from the allocation list real-time data base, and described configuration information comprises fired power generating unit Regulation dead-band (Hz), Hydropower Unit Regulation dead-band (Hz), more dead band presteady state time (second), disturbance decision threshold, more threshold values duration (second), maximum integral time (second), twice effective disturbance time interval (second), set grid-connection threshold values (MW).Described primary frequency modulation monitoring modular is reading machine group model information from the model table of real-time data base; Real-time dynamic data is read from time series real-time database; When mains frequency disturbance exceedes the threshold value of the frequency of setting, first calculating generator group cross unit primary frequency modulation dead band at mains frequency an integration period in primary frequency modulation contribution amount positive and negative, contribution amount is that canonical judges primary frequency modulation correct operation, otherwise, then think that frequency modulation action is incorrect; By calculating generator group primary frequency modulation performance factor, evaluate genset to the responsiveness of frequency; Real-time statistics unit primary frequency control system throws state of moving back, excitation system is thrown and moved back state, and is recorded in devoting rate statistical form.When monitoring the disturbance of electrical network occurrence frequency and meet frequency modulation event entry condition, record unit correlation parameter, the response effect of primary frequency modulation is calculated, comprises primary frequency modulation contribution amount, primary frequency modulation momentary speed variation, response events, stabilization time and Regulation dead-band etc.After disturbance terminates, result of calculation is written to commercial storehouse table.Visual man-machine interface tool reads primary frequency control system throwing and moves back the statistical information of state and the primary frequency modulation performance data of unit from commercial storehouse, and is organized into report form, for management and running librarian use.
The function realizing method of excitation system evaluation module as shown in Figure 4.Described excitation system evaluation module and from the model table of real-time data base reading machine group model information; Real-time dynamic data is read from time series real-time database; Real-time statistics DCgenerator motor field system is thrown and is moved back state, and is recorded in statistical report form.When monitoring electrical network generation voltage disturbance and meet excitation event entry condition, record unit correlation parameter, and to generator state monitoring index, field regulator PSS power oscillation damping effectiveness assessment index, field regulator is reported to the police and restriction evaluation index, excitation system state estimation index and Excitation Adjustment are pressed in line evaluation index and calculate, by result of calculation respectively stored in genset status monitoring index result table, excitation PSS power oscillation damping effectiveness assessment index result table, excitation warning is pressed in line evaluation index result table with restriction evaluation index result table and Excitation Adjustment.After disturbance terminates, result of calculation is written to commercial storehouse table.Man-machine visualization tool reads to throw and moves back the statistical information of state and the excitation system performance data of unit from commercial storehouse, and is organized into report form, for management and running librarian use.
The function realizing method of AGC performance evaluation module, as shown in Figure 5.Described AGC performance evaluation module, online reading WAMS time series real-time database dynamic data, calculate unit AGC adjusting function index, mainly comprise these three indexs of AGC regulations speed, AGC degree of regulation and AGC response time, be recorded in AGC regulations speed result table, AGC degree of regulation result table and AGC response time result table respectively, for visual man-machine interface queries and displaying.
As shown in Figure 6, this is certain unit once typical AGC unit instruction response process.In figure 6, P
min, ithat the adjustable lower limit of this unit is exerted oneself, P
max, ithat its adjustable upper limit is exerted oneself, P
niits nominal output, P
diits start and stop mill critical point power.Whole process can describe like this: before the T0 moment, and before the T1 moment, this stable operation of unit is going out near force value P1, the T0 moment, AGC control program issues to this unit the order that sets up an office that power is P2, unit starts to swell power, the adjustment dead band of P1 is reliably stepped out to the T1 moment, then arriving the T2 moment enters that to open mill interval, until the T3 moment, open honed journey to terminate, unit continues to swell power, adjustment dead zone range is entered to first time in T4 moment, then but small oscillations near P2, and stable operation is near P2, until the T5 moment, AGC control program sends the new order that sets up an office to this unit, performance number is P3, unit starts to fall the process of exerting oneself subsequently, the T6 moment reliably steps out and regulates dead band, the adjustment dead band of P3 is entered to the T7 moment, and stable operation is near it.Concrete calculation procedure is as follows:
Step 1: calculate AGC regulations speed.Described AGC regulations speed refers to that unit responds the speed of the instruction that sets up an office, and can be divided into climbing speed and fall off rate.The computation process of regulations speed is described below:
Swelling the power stage, namely T1 ~ T4 is interval, due to across opening mill point, therefore must eliminate the impact of opening mill when calculating its regulations speed; Falling interval of exerting oneself, namely T6 ~ T7 is interval, does not grind point across stopping, and does not need the impact of considering to stop grinding when therefore calculating.Comprehensive both of these case, practical adjustments rate calculations formula is as follows:
V in formula
ithe regulations speed (MW/ minute) of i-th unit, P
eiits exert oneself (MW) when terminating response process, P
siits exert oneself (MW) when starting action, T
eithe moment (minute) terminated, T
sithe moment (minute) started, P
diits start and stop mill critical point power (MW), T
diit is the time (minute) of start and stop mill actual consumption.
Step 2: calculate AGC degree of regulation.After described AGC degree of regulation refers to that unit response is stable, the actual difference between exerting oneself of exerting oneself and set up an office.The computation process of degree of regulation is described below:
I-th unit even running stage, namely T4 ~ T5 is interval, and unit output is around P2 slight fluctuations.Within the of this sort period, with the absolute value of the difference of the instruction that sets up an office, integration is carried out to actual exerting oneself, then uses integrated value divided by integral time, be the adjusting deviation amount of this period, as shown in the formula:
Wherein, Δ P
i,jbe the adjusting deviation amount (MW) of i-th unit in jth calculation interval, P
i,jt () is exerted oneself for its actual within this period, P
jfor the command value that sets up an office in this period, T
ejfor segment endpoint moment time this, T
sjfor this starting point moment period.
Step 3: calculate the AGC response time.After the described AGC response time refers to that AGC system sends instruction, unit output former go out force basis on, reliably step out the time used with the adjustment dead band regulating direction consistent.Namely
T
i-1=T
1-T
0and t
i=T
6-T
5
The function realizing method of wind-electricity integration on-line monitoring module as shown in Figure 7, the computing method that power system technology specifies >> file are accessed according to the < < GBT19963-2011 wind energy turbine set that State Grid Corporation of China issues for 2011, the backstage computing unit of described wind-electricity integration on-line monitoring module reads WAMS time series real-time database data online, analytical calculation goes out the maximum variable quantity of active power of wind power field, wind turbine generator system high-low voltage is passed through, the grid-connected indexs such as wind energy turbine set frequency variation and grid-connected point voltage variation, be written in the table of commercial storehouse, read for man-machine visualization interface and show.
The functional block diagram of sub-synchronous oscillation monitoring modular as shown in Figure 8.Described sub-synchronous oscillation monitoring modular off-line reads wide area measurement system WAMS time series history library data, and described data are the PMU substation phasor data of 100 frames/s.For fired power generating unit, read field voltage, exciting current, set end voltage, machine end electric current and generator mechanical rotary speed data by off-line, calculated by FFT and qualitatively off-line analysis calculating is carried out to sub-synchronous oscillation; For Wind turbines, the voltage and current data collecting circuit are read by off-line, calculated by FFT and qualitatively off-line analysis calculating is carried out to sub-synchronous oscillation, and draw the FFT spectrum analysis curve of the signals such as field voltage, exciting current, set end voltage, machine end electric current, the voltage collecting circuit, electric current, show sub-synchronous oscillation frequency, amplitude in table form.It should be noted that: can adopt ZL201210066205.0 " implementation method of subsynchronous oscillation of electrical power system event on-line detecting system " to the concrete scheme that sub-synchronous oscillation carries out off-line analysis calculating qualitatively based on FFT, the application repeats no more this.
The visualization interface structure of monitoring and evaluating system is coordinated as shown in Figure 9 in net source.
Performing step is as follows:
(1) Qt4.8.3 is adopted to design overall interface;
(2) this module is divided into " primary frequency modulation ", " excitation system ", " AGC performance ", " wind-electricity integration performance " and " sub-synchronous oscillation analysis " five sub-interfaces;
(3) in the daily and mains frequency large disturbances situation of primary frequency modulation interface primary responsibility unit to the supervision of the response effectiveness indicator of frequency;
(4) excitation system interface primary responsibility generator real-time running state, field regulator PSS power oscillation damping ability, field regulator run the displaying of reporting to the police with the index such as restriction, excitation system state and excitation pressure regulation;
(5) displaying of the AGC response speed of AGC performance interface primary responsibility genset, AGC regulating time, these 3 indexs of AGC degree of regulation;
(6) the maximum variable quantity of wind-electricity integration performance interface primary responsibility active power of wind power field, wind turbine generator system high-low voltage pass through, the displaying of the grid-connected index such as wind energy turbine set frequency change and grid-connected point voltage variation;
(7) displaying of sub-synchronous oscillation assay surface primary responsibility sub-synchronous oscillation frequency, amplitude index and FFT spectrum curve.
This net source coordination monitoring and evaluating system is deployed in intelligent grid supporting system technology WAMS and applies lower and access the scene meeting Guo Tiao center and measure about the PMU that source net dynamic property on-line monitoring technique specification (allocating and transporting (2014) No. 32) requires.In engineering construction, normally can run and the correct condition of disposing of WAMS application at the basic environment of intelligent grid supporting system technology, just can run native system and operate, be simple and easy to very much use.
Claims (6)
1. on-line monitoring and an evaluating system are coordinated in the net source based on WAMS dynamic data, and on-line monitoring is coordinated in described net source and evaluating system comprises primary frequency modulation monitoring modular, excitation system evaluation module, AGC performance evaluation module, wind-electricity integration on-line monitoring module, sub-synchronous oscillation monitoring modular and visual man-machine interface; It is characterized in that:
Described primary frequency modulation monitoring modular, excitation system evaluation module, AGC performance evaluation module, wind-powered electricity generation Reactive-power control ability monitoring modular are all connected with wide area measurement system WAMS with the input end of sub-synchronous oscillation monitoring modular, and output terminal is all connected to visual man-machine interface;
Described primary frequency modulation monitoring modular reads wide area measurement system WAMS time series real-time database data, real-time detection computations primary frequency modulation evaluation index, and exports described primary frequency modulation evaluation index to visual man-machine interface;
Described excitation system evaluation module reads wide area measurement system WAMS time series real-time database data, the evaluation index of real-time detection computations excitation system, and exports the evaluation index of described excitation system to visual man-machine interface;
Described AGC performance evaluation module reads wide area measurement system WAMS time series real-time database data, real-time detection computations AGC Performance Evaluating Indexes, and exports described AGC Performance Evaluating Indexes to visual man-machine interface;
Described wind-electricity integration on-line monitoring module reads wide area measurement system WAMS time series real-time database data, real-time detection computations wind-electricity integration Performance Evaluating Indexes, and exports described wind-electricity integration Performance Evaluating Indexes to visual man-machine interface;
Described sub-synchronous oscillation monitoring modular reads wide area measurement system WAMS time series history library data, calculated off-line sub-synchronous oscillation evaluation index, and exports described sub-synchronous oscillation evaluation index to visual man-machine interface.
2. on-line monitoring and evaluating system are coordinated in net source according to claim 1, it is characterized in that:
Described primary frequency modulation monitoring modular reads wide area measurement system WAMS time series real-time database data, when mains frequency disturbance exceedes the threshold value of the frequency of setting, first calculating generator group cross unit primary frequency modulation dead band at mains frequency an integration period in primary frequency modulation contribution amount positive and negative, contribution amount is that canonical judges primary frequency modulation correct operation, otherwise, then think that frequency modulation action is incorrect; By calculating generator group primary frequency modulation performance factor, evaluate genset to the responsiveness of frequency;
The primary frequency modulation evaluation index of described primary frequency modulation monitoring modular calculating generator group, comprise primary frequency modulation momentary speed variation, response time, stabilization time, Regulation dead-band etc., finally the primary frequency modulation evaluation index of the genset of above-mentioned calculating is write commercial storehouse, by visual man-machine interface display.
3. on-line monitoring and evaluating system are coordinated in net source according to claim 1, it is characterized in that:
The evaluation index of described excitation system comprises generator state monitoring index, field regulator PSS power oscillation damping effectiveness assessment index, field regulator warning and restriction evaluation index, excitation system state estimation index and Excitation Adjustment and is pressed in line evaluation index; Above-mentioned evaluation index result is stored in the table of commercial storehouse, and by visual man-machine interface queries commercial storehouse table and WAMS historical time sequence library data, shows described evaluation index with data, form and curve form.
4. on-line monitoring and evaluating system are coordinated in net source according to claim 1, it is characterized in that: described AGC Performance Evaluating Indexes comprises the AGC regulations speed of genset, AGC degree of regulation and AGC regulating time index, above-mentioned AGC Performance Evaluating Indexes result is stored in the table of commercial storehouse by AGC performance evaluation module, finally by AGC performance evaluation analysis indexes situation described in visual man-machine showing interface.
5. on-line monitoring and evaluating system are coordinated in net source according to claim 1, it is characterized in that:
Described wind-electricity integration Performance Evaluating Indexes comprises the maximum variable quantity of active power of wind power field, wind turbine generator system high-low voltage passes through event, the grid-connected index such as wind energy turbine set frequency variation and grid-connected point voltage variation; Above-mentioned wind-electricity integration Performance Evaluating Indexes is stored in the table of commercial storehouse with record form by described wind-electricity integration on-line monitoring module, to be read and add up above-mentioned wind-electricity integration Performance Evaluating Indexes by visual man-machine interface as output terminal.
6. on-line monitoring and evaluating system are coordinated in net source according to claim 1, it is characterized in that:
Described sub-synchronous oscillation monitoring modular reads wide area measurement system WAMS time series history library data, and the history library data read are the PMU substation phasor data of 100 frames/s; For fired power generating unit, read field voltage, exciting current, set end voltage, machine end electric current and generator mechanical rotary speed data by off-line, off-line analysis calculating is carried out to sub-synchronous oscillation; For Wind turbines, read the voltage and current data collecting circuit by off-line, off-line analysis calculating is carried out to sub-synchronous oscillation; Described sub-synchronous oscillation monitoring modular draws the FFT spectrum analysis curve of the signals such as field voltage, exciting current, set end voltage, machine end electric current, the voltage collecting circuit, electric current, shows sub-synchronous oscillation frequency, amplitude in table form by visual man-machine interface.
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| CN201510882734.1A CN105488631A (en) | 2015-12-04 | 2015-12-04 | WAMS dynamic data based network source coordination online monitoring and assessment system |
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| CN106300372A (en) * | 2016-09-23 | 2017-01-04 | 国电南瑞科技股份有限公司 | Wind energy turbine set Control of Voltage performance measuring and evaluating method based on PMU data |
| CN106383311A (en) * | 2016-11-25 | 2017-02-08 | 国网浙江省电力公司电力科学研究院 | Method for online determining generator excitation limitation performance |
| CN106786665A (en) * | 2016-12-14 | 2017-05-31 | 国家电网公司华中分部 | A kind of generating set primary frequency regulation property abnormality Online statistics analysis method |
| CN106771852A (en) * | 2016-11-25 | 2017-05-31 | 国网浙江省电力公司电力科学研究院 | A kind of online monitoring data unification collection of net source and analysis and processing method |
| CN107862449A (en) * | 2017-10-31 | 2018-03-30 | 合肥天鹰高科技有限公司 | A kind of power plant AGC adjusts checking system |
| CN107976592A (en) * | 2017-10-25 | 2018-05-01 | 国电南瑞科技股份有限公司 | Unit primary frequency modulation on-line testing method based on wide area measurement information |
| CN108226879A (en) * | 2017-12-21 | 2018-06-29 | 北京遥感设备研究所 | A kind of SAR landform scattering disturbance restraining method based on multichannel |
| CN108681817A (en) * | 2018-05-17 | 2018-10-19 | 中电普瑞电力工程有限公司 | A kind of excitation system performance estimating method, device and storage medium |
| CN109347100A (en) * | 2018-11-26 | 2019-02-15 | 国网四川省电力公司经济技术研究院 | Promote the mixed energy storage system Optimal Configuration Method of wind power plant comprehensive performance |
| CN109669122A (en) * | 2019-01-17 | 2019-04-23 | 国网河南省电力公司电力科学研究院 | Generating set primary frequency regulation active Online Transaction Processing and its application method |
| CN111416364A (en) * | 2020-04-14 | 2020-07-14 | 三峡大学 | Wind power plant variable-coordinated frequency modulation control method considering actual wind speed characteristics |
| CN112379163A (en) * | 2020-11-16 | 2021-02-19 | 广东电网有限责任公司电力科学研究院 | Mobile test system for primary frequency modulation function of offshore wind farm |
| CN112505451A (en) * | 2020-11-23 | 2021-03-16 | 广东电网有限责任公司电力科学研究院 | Mobile AGC (automatic gain control) and AVC (automatic Voltage control) function test system for offshore wind farm |
| CN112684764A (en) * | 2020-11-26 | 2021-04-20 | 杭州众工电力科技有限公司 | Unit primary frequency modulation online test substation system based on active test |
| CN112986735A (en) * | 2021-02-20 | 2021-06-18 | 国网重庆市电力公司电力科学研究院 | Ultralow frequency subsynchronous oscillation online monitoring system |
| CN115065167A (en) * | 2022-07-15 | 2022-09-16 | 国网江苏省电力有限公司 | Primary frequency modulation online monitoring system of new energy station |
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| CN106300372B (en) * | 2016-09-23 | 2019-06-25 | 国电南瑞科技股份有限公司 | Wind-powered electricity generation field voltage control performance assessment method based on PMU data |
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| CN106383311A (en) * | 2016-11-25 | 2017-02-08 | 国网浙江省电力公司电力科学研究院 | Method for online determining generator excitation limitation performance |
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| CN106383311B (en) * | 2016-11-25 | 2018-12-11 | 国网浙江省电力有限公司电力科学研究院 | A kind of online judgment method of generator excitation limiting performance |
| CN106771852B (en) * | 2016-11-25 | 2019-07-23 | 国网浙江省电力有限公司电力科学研究院 | A kind of unified acquisition of net source online monitoring data and analysis and processing method |
| CN106786665A (en) * | 2016-12-14 | 2017-05-31 | 国家电网公司华中分部 | A kind of generating set primary frequency regulation property abnormality Online statistics analysis method |
| CN106786665B (en) * | 2016-12-14 | 2019-11-12 | 国家电网公司华中分部 | A kind of generating set primary frequency regulation abnormal performance Online statistics analysis method |
| CN107976592A (en) * | 2017-10-25 | 2018-05-01 | 国电南瑞科技股份有限公司 | Unit primary frequency modulation on-line testing method based on wide area measurement information |
| CN107862449A (en) * | 2017-10-31 | 2018-03-30 | 合肥天鹰高科技有限公司 | A kind of power plant AGC adjusts checking system |
| CN108226879A (en) * | 2017-12-21 | 2018-06-29 | 北京遥感设备研究所 | A kind of SAR landform scattering disturbance restraining method based on multichannel |
| CN108226879B (en) * | 2017-12-21 | 2021-08-13 | 北京遥感设备研究所 | SAR terrain scattering interference suppression method based on multiple channels |
| CN108681817A (en) * | 2018-05-17 | 2018-10-19 | 中电普瑞电力工程有限公司 | A kind of excitation system performance estimating method, device and storage medium |
| CN109347100A (en) * | 2018-11-26 | 2019-02-15 | 国网四川省电力公司经济技术研究院 | Promote the mixed energy storage system Optimal Configuration Method of wind power plant comprehensive performance |
| CN109669122A (en) * | 2019-01-17 | 2019-04-23 | 国网河南省电力公司电力科学研究院 | Generating set primary frequency regulation active Online Transaction Processing and its application method |
| CN111416364A (en) * | 2020-04-14 | 2020-07-14 | 三峡大学 | Wind power plant variable-coordinated frequency modulation control method considering actual wind speed characteristics |
| CN111416364B (en) * | 2020-04-14 | 2023-06-02 | 三峡大学 | Wind farm transformation cooperative frequency modulation control method considering actual wind speed characteristics |
| CN112379163A (en) * | 2020-11-16 | 2021-02-19 | 广东电网有限责任公司电力科学研究院 | Mobile test system for primary frequency modulation function of offshore wind farm |
| CN112505451A (en) * | 2020-11-23 | 2021-03-16 | 广东电网有限责任公司电力科学研究院 | Mobile AGC (automatic gain control) and AVC (automatic Voltage control) function test system for offshore wind farm |
| CN112684764A (en) * | 2020-11-26 | 2021-04-20 | 杭州众工电力科技有限公司 | Unit primary frequency modulation online test substation system based on active test |
| CN112986735A (en) * | 2021-02-20 | 2021-06-18 | 国网重庆市电力公司电力科学研究院 | Ultralow frequency subsynchronous oscillation online monitoring system |
| CN115065167A (en) * | 2022-07-15 | 2022-09-16 | 国网江苏省电力有限公司 | Primary frequency modulation online monitoring system of new energy station |
| CN115065167B (en) * | 2022-07-15 | 2023-10-20 | 国网江苏省电力有限公司 | Primary frequency modulation on-line monitoring system for new energy station |
| CN116436160A (en) * | 2023-03-29 | 2023-07-14 | 华能威海发电有限责任公司 | AGC performance index on-line monitoring system and method |
| CN116436160B (en) * | 2023-03-29 | 2023-12-22 | 华能威海发电有限责任公司 | AGC performance index on-line monitoring system and method |
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