CN115864637A - PMU-based new energy station performance index monitoring system and application method thereof - Google Patents
PMU-based new energy station performance index monitoring system and application method thereof Download PDFInfo
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Abstract
The invention discloses a new energy field energy index monitoring system based on a PMU (power management unit) and an application method thereof. The method can realize the conversion of the performance index from an offline intermittent detection mode to an online full-time and full-process online monitoring and evaluation mode, and is favorable for enhancing the real-time management and control of the power grid on the network-related performance of the new energy station.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a new energy station performance index monitoring system based on a PMU and an application method thereof.
Background
In recent years, the installed scale of new energy sources such as wind power and photovoltaic is continuously increased, and meanwhile, the inherent power fluctuation and randomness of the new energy sources also bring many adverse effects to a power grid, and even the safe and stable operation of the power grid is endangered in severe cases. For this reason, the country has formulated relevant technical standards and guidelines in succession to standardize the grid-related performance and technical characteristics of the grid-connected new energy station, such as: the national standards 'technical specification for accessing a power system by a wind power plant' and 'technical specification for accessing a power system by a photovoltaic power station' provide relevant specifications for key performance indexes of active power change, reactive capacity, active/reactive control, power grid adaptability, low voltage ride through, power quality and the like of the wind power plant/photovoltaic power station. The industrial standards wind power plant grid-connected performance evaluation method and photovoltaic power station grid-connected performance test and evaluation method synchronously provide a test method and a quantitative evaluation method for key performance indexes of a wind power plant/a photovoltaic power station. The newly revised safety and stability guidelines for electric power systems even have specifically required that the voltage and frequency withstand capabilities of new energy stations and distributed power supplies are in principle consistent with the voltage and frequency withstand capabilities of synchronous generator sets.
At present, the detection and evaluation modes of a power grid on key performance indexes of a new energy station are roughly three: 1. for performance indexes such as power grid adaptability and low voltage ride through, whether the similar models have related performance or not is indirectly judged mainly according to a single-machine type test report. In fact, due to the difference of hardware devices, there must be a difference in performance between different units of the same type, and it is not preferable to simulate all the other units of the same type by only testing the type of one unit. 2. For performance indexes such as active power change, reactive capacity, active/reactive control and the like, whether the new energy station meets related standard requirements or not is mainly evaluated by developing field actual measurement by a testing organization with corresponding qualifications. However, such methods also have certain limitations, such as: the field actual measurement is to evaluate the grid-connected performance index of the new energy station in a test time period; and (3) beyond the testing time period, the natural environments such as wind conditions/illumination and the like are likely to present new characteristics, and whether the grid-connected performance of the new energy station can still meet the standard requirements or not is yet further verified. In summary, in order to meet the requirement of high-speed development of new energy, maintain and promote safe, high-quality and economic operation of a power system, and enhance the monitoring capability of a power grid on key performance indexes of a new energy station, especially the full-time online monitoring capability, the power grid becomes a problem to be solved urgently at present.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the problems in the prior art, the invention provides a new energy station performance index monitoring system based on PMU and an application method thereof, which can realize the conversion of the performance index from an offline intermittent detection mode to an online full-time and full-process online monitoring and evaluation mode, and are favorable for enhancing the real-time management and control of a power grid on the network-involved performance of a new energy station.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
the utility model provides a new energy field station can index monitoring system based on PMU, includes performance index on-line monitoring main website unit and at least one PMU unit, the PMU unit is used for gathering new energy field station AGC system, AVC system, primary frequency modulation system, fan EMS system, fan master control system, photovoltaic data acquisition system's grid-connected point voltage/electric current in real time and sending to performance index on-line monitoring main website unit, performance index on-line monitoring main website unit is used for the real-time parallel analysis data that PMU unit gathered and appraises the performance index of each new energy field station.
Optionally, the performance index online monitoring master station unit includes a performance index analysis and evaluation device, a disk array group, and a human-computer interaction unit, the performance index analysis and evaluation device is respectively connected to the disk array group, the human-computer interaction unit, and each synchronous phasor measurement unit, and the disk array group is composed of a plurality of disk array units.
Optionally, the PMU unit includes a data concentrator, a human-computer interaction unit, and a plurality of synchronized phasor measurement units, where the data concentrator is connected to the human-computer interaction unit and the plurality of synchronized phasor measurement units, respectively, and the data concentrator is connected to the performance index online monitoring master station unit.
Optionally, the human-computer interaction unit includes a display, a mouse, and a keyboard, and the display, the mouse, and the keyboard are respectively connected to the performance index analysis and evaluation device.
Optionally, the human-computer interaction unit is a touch screen with display and touch functions.
Optionally, the performance index online monitoring master station unit and the PMU unit are respectively arranged in different cubicles, and the performance index online monitoring master station unit and the PMU unit are connected to each other through a communication cable across cubicles.
Optionally, the performance index analysis and evaluation device, the synchrophasor measurement device, and the data concentrator are all computer devices.
The invention also provides an application method of the new energy station energy index monitoring system based on the PMU, which comprises the following steps:
s101, a synchronous phasor measuring device of a PMU unit detects a secondary value of a grid-connected point voltage transformer/current transformer of a new energy station in real time, calculates real-time active power, sends the real-time active power to a data concentrator in a network port communication and GB/T26865.2 communication protocol mode, and then sends the real-time active power to a performance index analysis and evaluation device of a performance index online monitoring main station unit by the data concentrator in a network port communication and 104 communication protocol mode; the AGC instruction and the AGC commissioning state are sent to a data concentrator by an AGC system in a network port communication and GB/T26865.2 communication protocol mode, and then sent to a performance index analysis and evaluation device of a performance index online monitoring main station unit by the data concentrator in a network port communication and 104 communication protocol mode;
s102, the performance index analyzing and evaluating device samples the acquired data by adopting a time window translation method according to a specified step length, and counts each AGC instruction value P of each time window in real time 0-ref AGC command value P 0-ref Reference maximum value P of 0-ref-max And a reference minimum value P 0-ref-min If reference is made to the maximum P 0-ref-max And a reference minimum value P 0-ref-min The difference exceeds the rated power value P of the new energy station n The specified coefficient is multiplied, the AGC command action is regarded, and the recording signal is triggered to continuously store the actual active power P with the specified duration 0 AGC command value P Of 0 to ref Data storage, skipping to step S103; otherwise, ending and exiting;
s103, monitoring the AGC active control overshoot sigma: detecting the saved actual active power P 0 Data, taking its maximum value P 0-max When P is 0-max ≤P 0-ref-max When AGC active control overshoot sigma is 0, when P 0-max >P 0-ref-max The overshoot sigma of active control of time AGC is sigma = [ (P) 0-max -P 0-ref-max )/P n ]*100 percent, when the AGC active control overshoot sigma is less than or equal to the rated power value P of the new energy station n When the specified coefficient is multiplied, the AGC active power control overshoot is judged to be qualified, otherwise, the AGC active power control overshoot is judged to be unqualified, wherein P n Is the rated power value, P, of the new energy station 0-ref-max Is AGC command value P 0-ref Is measured.
Optionally, step S103 further includes monitoring an active control response time T of the AGC s : the active power P of the new energy station grid-connected point 0 Starting from the last sampled power point and the reference maximum value P 0-ref-max Comparing, and sampling power value deviation | P of power point 0 -P 0-ref-max Rated power value P of new energy station with | less than or equal to n When the specified coefficient is multiplied, a sampling power point is calculated and advanced forward, and so on until the power value deviation | P of a certain sampling power point 0 -P 0-ref-max I is greater than rated power value P of new energy station n The time length of the sampling power point and the wave recording triggering time is calculated and is taken as the AGC active power control response time T s If AGC active control response time T s And if the value is less than or equal to the set threshold value, judging that the AGC active control response time is qualified, otherwise, judging that the AGC active control response time is unqualified.
Optionally, step S103 further includes monitoring voltage fluctuation of a grid-connected point of the new energy station: counting the maximum value U of the voltage U of the new energy station grid-connected point within 5min of the wave recording time period max And minimum value U min Calculating Δ U max ＝|U max -U n I and Delta U min ＝|U min -U n When Δ U max >10％U n Or Delta U min >10％U n If so, determining that high and low voltage ride through influence exists, otherwise, determining that high and low voltage ride through influence does not exist, wherein U n A grid-connected point nominal voltage value of the new energy station; the new energy field station grid-connected point voltage U is obtained by detecting a secondary value of a new energy field station grid-connected point voltage transformer in real time through a synchronous phasor measuring device of a PMU unit, calculating a real-time grid-connected point positive sequence voltage effective value, sending the real-time grid-connected point positive sequence voltage effective value to a data concentrator in a network port communication and GB/T26865.2 communication protocol mode, and sending the real-time grid-connected point positive sequence voltage effective value to a performance index analysis and evaluation device of a performance index on-line monitoring main station unit through the data concentrator in a network port communication and 104 communication protocol mode to perform analysis and evaluation.
Optionally, step S103 further includes monitoring a primary frequency modulation control influence of the new energy station: maximum value f of new energy field station grid-connected point frequency f within 5min of statistical wave recording time period max And minimum value f min When f is max When f is less than or equal to 50+ delta f, the primary frequency modulation control influence is not considered to exist, and when f is less than or equal to 50+ delta f max >50+ Δ fJudging that the primary frequency modulation control influence exists; when f is min When f is more than or equal to 50-delta f, judging that the primary frequency modulation control influence does not exist, and when f is more than or equal to 50-delta f min <When the frequency is 50-delta f, judging that the primary frequency modulation control influence exists; delta f is a frequency modulation dead zone value, the new energy field grid-connected point frequency f is a secondary value of a new energy field grid-connected point voltage transformer detected by a synchronous phasor measuring device of a PMU unit in real time, the real-time grid-connected point frequency is calculated, the real-time grid-connected point frequency is sent to a data concentrator in a mode of internet access communication and GB/T26865.2 communication protocols, and then the data concentrator is sent to a performance index analysis and evaluation device of a performance index on-line monitoring main station unit in a mode of internet access communication and 104 communication protocols for analysis and evaluation; the frequency modulation dead zone value delta f is sent to the data concentrator by the primary frequency modulation system of the new energy station in a network port communication and GB/T26865.2 communication protocol mode, and then sent to the performance index analysis and evaluation device of the performance index on-line monitoring main station unit by the data concentrator in a network port communication and 104 communication protocol mode for analysis and evaluation.
Compared with the prior art, the invention mainly has the following advantages:
1. the new energy station energy index monitoring system based on the PMU can realize that the new energy station grid-related performance index is converted from an offline intermittent detection mode to an online full-time and full-process online monitoring and evaluation mode, and is favorable for enhancing the real-time management and control of a power grid on the new energy station grid-related performance.
2. The PMU-based new energy station energy index monitoring system can evaluate various network-related performance levels of the new energy station, and can effectively identify and distinguish other interference factors, such as the influence of interference factors of primary frequency modulation control, high-voltage and low-voltage ride through and the like, while evaluating the AGC performance index.
Drawings
Fig. 1 is a schematic structural diagram of a system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an access system of a PMU according to an embodiment of the present invention.
Illustration of the drawings: 1. a master station unit for monitoring performance indexes on line; 11. a performance index analyzing and evaluating device; 12. a disk array group; 2. a PMU unit; 21. a synchronized phasor measurement device; 22. a data concentrator.
Detailed Description
As shown in fig. 1, this embodiment provides a new energy station energy index monitoring system based on PMU, which includes a performance index online monitoring master station unit 1 and at least one PMU (synchronous vector measurement device) unit 2, where the PMU unit 2 is configured to collect, in real time, voltages/currents of a grid connection point of a new energy station AGC system, an AVC system, a primary frequency modulation system, a fan EMS system, a fan main control system, and a photovoltaic data collection system and send the voltages/currents to the performance index online monitoring master station unit 1, and the performance index online monitoring master station unit 1 is configured to analyze, in real time, data collected by the PMU unit 2 in parallel and evaluate performance indexes of each new energy station. Referring to fig. 1, in this embodiment, M PMU units 2 (PMU unit #1 to PMU unit # M) are specifically included, but the new energy site performance index monitoring system based on PMU in this embodiment depends on the number of the specific PMU units 2, so that one or more PMU units 2 may be provided, and description thereof is omitted.
As shown in fig. 1, the performance index online monitoring master station unit 1 of the present embodiment includes a performance index analysis and evaluation device 11, a disk array group 12, and a man-machine interaction unit, where the performance index analysis and evaluation device 11 is respectively connected to the disk array group 12, the man-machine interaction unit, and each synchronous phasor measurement device 21, and the disk array group 12 is composed of a plurality of disk array units (respectively denoted as "1 # disk array" to "N # disk array" in fig. 1). The performance index analysis and evaluation device 11 of the online performance index monitoring main station unit 1 has the functions of analyzing the related network-related performance data uploaded by each PMU unit 2 in real time in parallel and evaluating the network-related performance level of each new energy field station. The disk array group 12 is used for storing network-related performance related data uploaded by each PMU unit (2) and evaluation result information by a plurality of disk array units.
The PMU unit 2 has the function of acquiring related data information such as grid-connected point voltage/current of an AGC system, an AVC system, a primary frequency modulation system, a fan EMS system, a fan main control system and a photovoltaic data acquisition system of the new energy station in real time. As shown in fig. 2, the PMU unit 2 of this embodiment includes a data concentrator 22, a human-computer interaction unit, and a plurality of synchronous phasor measurement devices 21, where the data concentrator 22 is connected to the human-computer interaction unit and the plurality of synchronous phasor measurement devices 21, respectively, and the data concentrator 22 is connected to the online performance index monitoring master station unit 1. Referring to fig. 2, the external systems accessed by the data concentrator 22 respectively include a fan main control system, a photovoltaic data acquisition system, a fan EMS system (fan energy management system), a new energy station AGC system, an AVC system, and a primary frequency modulation system, and respectively receive the relevant real-time data uploaded by them; the performance index analysis and evaluation device 11 between the online performance index monitoring main station unit 1 and each PMU unit 2 is connected to the data concentrator 21, so as to realize real-time uploading of synchronous Phasor Measurement (PMU) data.
In this embodiment, the human-computer interaction unit includes a display, a mouse, and a keyboard, and the display, the mouse, and the keyboard are respectively connected to the performance index analysis and evaluation device 11, or the human-computer interaction unit may also be a touch screen having display and touch functions.
Referring to fig. 1 and fig. 2, in this embodiment, the online performance index monitoring master station unit 1 and the PMU unit 2 are respectively disposed in different cubicles, and the online performance index monitoring master station unit 1 and the PMU unit 2 are connected to each other through a communication cable across the cubicles. In this embodiment, the performance index analyzing and evaluating device 11, the synchrophasor measuring device 21, and the data concentrator 22 are all computer devices, and a server, a PC, or an embedded computer device may be used as needed.
In summary, the new energy site energy index monitoring system based on the PMU of the embodiment includes a performance index online monitoring main station unit 1 and a plurality of PMU units 2, where the performance index online monitoring main station unit 1 is composed of a performance index analysis and evaluation device, a disk array group, a display, and a mouse keyboard, and the PMU unit 2 is composed of a data concentrator, a synchronous phasor measurement device, a display, and a mouse keyboard. The new energy station synchronous Phasor Measurement (PMU) device is mainly used for carrying out the on-line monitoring work of key performance indexes of the new energy station, the new energy station synchronous Phasor Measurement (PMU) device collects relevant information of an AGC system, an AVC system, a primary frequency modulation system, a fan EMS system, a fan main control system and a photovoltaic data acquisition system of the new energy station in real time and synchronously uploads the relevant information to the performance index on-line monitoring master station unit 1, and a master station performance index analysis and evaluation device analyzes and evaluates the networking performance of the new energy station according to the requirements of national/industrial relevant standards, so that the real-time supervision of a power grid on the networking performance indexes of each new energy station is realized.
This embodiment also provides an application method of the foregoing new energy station energy index monitoring system based on PMU, including:
s101, a synchronous phasor measuring device of a PMU unit 2 detects a secondary value of a grid-connected point voltage transformer/current transformer of a new energy station in real time, calculates real-time active power, sends the real-time active power to a data concentrator 22 in a mode of network port communication and GB/T26865.2 communication protocols, and then sends the real-time active power to a performance index analysis and evaluation device 11 of a performance index online monitoring main station unit 1 by the data concentrator 22 in a mode of network port communication and 104 communication protocols; the AGC instruction and the AGC commissioning state are sent to the data concentrator 22 by the AGC system in the way of internet access communication and GB/T26865.2 communication protocol, and then sent to the performance index analysis and evaluation device 11 of the performance index on-line monitoring main station unit 1 by the data concentrator 22 in the way of internet access communication and 104 communication protocol;
s102, the performance index analysis and evaluation device 11 samples the acquired data by adopting a time window translation method according to a specified step length, and counts each AGC instruction value P of each time window in real time 0-ref AGC command value P 0-ref Reference maximum value P of 0-ref-max And a reference minimum value P 0-ref-min If the maximum value P is referenced 0-ref-max And a reference minimum value P 0-ref-min The difference exceeds the rated power value P of the new energy station n The specified coefficient is multiplied, the AGC command action is regarded, and the recording signal is triggered to continuously store the actual active power P with the specified duration 0 AGC command value P Of 0 to ref Data storage, skipping to step S103; otherwise, ending and exiting; in this embodiment, when the performance index analyzing and evaluating device 11 samples the acquired data by using a time window translation method with a specified step size in step S102, the sampling is performed with a step size of 100ms, the translation is performed with a time window of 306S, and the translation duration is longThe method counts 3061 AGC instruction values P of each time window in real time for 100ms 0-ref 3061 AGC command values P are calculated in real time for each 306s time window 0-ref Maximum value P of 0-ref-max And a minimum value P 0-ref-min When P is 0-ref-max -P 0-ref-min >3％P n (P n Rated power value of the new energy station), the station is regarded as an AGC command action, and the control performance analysis and evaluation are carried out, otherwise, the station is ended and quit. Actual active power P for triggering wave recording signal to continuously store specified duration 0 AGC command value P Of 0 to ref The data storage is specifically to trigger the recording signal to be stored for 5min, and P0-ref data storage (according to 100ms as a sampling step, 3001 points should be temporarily stored) is used for analysis and calculation.
S103, monitoring the AGC active control overshoot sigma: detecting the stored actual active power P 0 Data, taking its maximum value P 0-max When P is 0-max ≤P 0-ref-max When AGC active control overshoot sigma is 0, when P 0-max >P 0-ref-max The overshoot sigma of active control of time AGC is sigma = [ (P) 0-max -P 0-ref-max )/P n ]*100 percent, when the AGC active control overshoot sigma is less than or equal to the rated power value P of the new energy station n When the specified coefficient is multiplied, the AGC active power control overshoot is judged to be qualified, otherwise, the AGC active power control overshoot is judged to be unqualified, wherein P n Is the rated power value, P, of the new energy station 0-ref-max Is AGC command value P 0-ref Is measured. In this embodiment, when the AGC active control overshoot σ is monitored in step S103, the actual active power P of 5min is detected specifically 0 Data, taking its maximum value P 0-max When P is 0-max ≤P 0-ref-max The overshoot is 0 when P is 0-max >P 0-ref-max The time overshoot is σ = [ (P) 0-max -P 0-ref-max )/P n ]*100%, when σ ≦ 10% n When the AGC active power control overshoot is qualified; when sigma is>10% Pn, the AGC active power control overshoot is not qualified.
In this embodiment, step S103 further includes monitoring an active control response time T of the AGC s : the active power P of the new energy station grid-connected point 0 Starting from the last sampled power point and the reference maximum value P 0-ref-max Comparing, and sampling power value deviation | P of power point 0 -P 0-ref-max Rated power value P of new energy station with | less than or equal to n When the specified coefficient is multiplied, a sampling power point is calculated and advanced forward, and so on until the power value deviation | P of a certain sampling power point 0 -P 0-ref-max I is greater than rated power value P of new energy station n The time length of the sampling power point and the wave recording triggering time is calculated and is taken as the AGC active power control response time T s If AGC active control response time T s And if the value is less than or equal to the set threshold value, judging that the AGC active control response time is qualified, otherwise, judging that the AGC active control response time is unqualified. In this embodiment, the AGC active control response time T is monitored s The active power P of the grid-connected point of the new energy station is 0 From the last sampled power point (3001 st point), and P 0-ref-max Making a comparison when | P 0 -P 0-ref-max |≤3％P n Then, one point is calculated forward, whether the power difference value at the 3000 th point exceeds 3% Pn is calculated, and so on until the power value deviation at a certain point exceeds 3% n Calculating the time length between the point and the wave recording triggering time, and taking the time length as the AGC active power control response time T s When T is s When the time is less than or equal to 120s, the AGC active control response time is qualified; when T is s >And at 120s, the AGC active control response time is unqualified.
In this embodiment, step S103 further includes monitoring voltage fluctuation of a grid-connected point of the new energy station: maximum value U of new energy station grid-connected point voltage U within 5min of statistical wave recording time period max And minimum value U min Calculating Δ U max ＝|U max -U n I and Delta U min ＝|U min -U n When Δ U max >10％U n Or Delta U min >10％U n If so, determining that high and low voltage ride through influence exists, otherwise, determining that high and low voltage ride through influence does not exist, wherein U n A grid-connected point nominal voltage value of the new energy station; the voltage U of the new energy field grid-connected point is a secondary value of a new energy field grid-connected point voltage transformer detected by a synchrophasor measurement device of the PMU unit 2 in real time, a positive sequence voltage effective value of the real-time grid-connected point is calculated, and is sent to the data concentrator 22 in a network port communication and GB/T26865.2 communication protocol manner, and then is sent to the performance index analysis and evaluation device 11 of the performance index online monitoring master station unit 1 by the data concentrator 22 in a network port communication and 104 communication protocol manner for analysis and evaluation.
In this embodiment, step S103 further includes monitoring a primary frequency modulation control influence of the new energy station: maximum value f of new energy field station grid-connected point frequency f within 5min of statistical wave recording time period max And minimum value f min When f is max When f is less than or equal to 50+ delta f, the primary frequency modulation control influence is not considered to exist, and when f is less than or equal to 50+ delta f max >When the frequency is 50+ delta f, the influence of primary frequency modulation control is considered to exist; when f is min When f is more than or equal to 50-delta f, judging that the primary frequency modulation control influence does not exist, and when f is more than or equal to 50-delta f min <When the frequency is 50-delta f, judging that the primary frequency modulation control influence exists; the delta f is a frequency modulation dead zone value, the new energy field grid-connected point frequency f is a secondary value of a new energy field grid-connected point voltage transformer detected by a synchrophasor measuring device of the PMU unit 2 in real time, the real-time grid-connected point frequency is calculated, the real-time grid-connected point frequency is sent to the data concentrator 22 in a mode of internet access communication and GB/T26865.2 communication protocols, and then the real-time grid-connected point frequency is sent to the performance index analysis and evaluation device 11 of the performance index on-line monitoring main station unit 1 by the data concentrator 22 in a mode of internet access communication and 104 communication protocols for analysis and evaluation; the frequency modulation dead zone value delta f is sent to the data concentrator 22 by the primary frequency modulation system of the new energy station in a mode of internet access communication and a communication protocol GB/T26865.2, and then sent to the performance index analysis and evaluation device 11 of the performance index on-line monitoring main station unit 1 by the data concentrator 22 in a mode of internet access communication and a communication protocol 104 for analysis and evaluation.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (11)
1. The new energy field energy index monitoring system based on the PMU is characterized by comprising a performance index online monitoring main station unit (1) and at least one PMU unit (2), wherein the PMU unit (2) is used for acquiring the voltage/current of a grid-connected point of an AGC (automatic gain control) system, an AVC (automatic voltage control) system, a primary frequency modulation system, a fan EMS (energy management system), a fan main control system and a photovoltaic data acquisition system of the new energy field in real time and transmitting the voltage/current to the performance index online monitoring main station unit (1), and the performance index online monitoring main station unit (1) is used for analyzing the data acquired by the PMU unit (2) in real time and evaluating the performance index of each new energy field.
2. The PMU-based energy site index monitoring system according to claim 1, wherein the online performance index monitoring main station unit (1) includes a performance index analysis and evaluation device (11), a disk array group (12) and a human-computer interaction unit, the performance index analysis and evaluation device (11) is respectively connected with the disk array group (12), the human-computer interaction unit and each synchrophasor measurement device (21), and the disk array group (12) is composed of a plurality of disk array units.
3. The PMU-based new energy site energy index monitoring system according to claim 2, characterized in that the PMU unit (2) includes a data concentrator (22), a human-computer interaction unit and a plurality of synchrophasor measurement devices (21), the data concentrator (22) is connected with the human-computer interaction unit and the synchrophasor measurement devices (21), respectively, and the data concentrator (22) is connected with the online performance index monitoring master station unit (1).
4. The PMU-based new energy station energy index monitoring system according to claim 3, wherein the human-computer interaction unit includes a display, a mouse and a keyboard, and the display, the mouse and the keyboard are respectively connected to the performance index analysis and evaluation device (11).
5. The PMU-based new energy station energy index monitoring system according to claim 3, wherein the human-computer interaction unit is a touch screen with display and touch functions.
6. The PMU-based new energy site energy index monitoring system according to claim 4 or 5, characterized in that the online performance index monitoring main station unit (1) and the PMU unit (2) are respectively arranged in different cabinets, and the online performance index monitoring main station unit (1) and the PMU unit (2) are connected with each other through a communication cable across the cabinets.
7. The PMU-based energy site index monitoring system according to claim 6, wherein the performance index analysis and evaluation device (11), the synchrophasor measurement device (21) and the data concentrator (22) are all computer devices.
8. A method for applying the PMU-based new energy site energy index monitoring system according to any one of claims 1 to 7, comprising:
s101, a synchronous phasor measuring device of a PMU unit (2) detects a secondary value of a grid-connected point voltage transformer/current transformer of a new energy station in real time, calculates real-time active power, sends the real-time active power to a data concentrator (22) in a mode of network port communication and GB/T26865.2 communication protocol, and then sends the real-time active power to a performance index analysis and evaluation device (11) of a performance index online monitoring main station unit (1) by the data concentrator (22) in a mode of network port communication and 104 communication protocol; the AGC instruction and the AGC commissioning state are sent to a data concentrator (22) by an AGC system in a network port communication and GB/T26865.2 communication protocol mode, and then sent to a performance index analysis and evaluation device (11) of a performance index online monitoring master station unit (1) by the data concentrator (22) in a network port communication and 104 communication protocol mode;
s102, the performance index analyzing and evaluating device (11) samples the acquired data by adopting a time window translation method according to a specified step length, and counts each AGC instruction value P of each time window in real time 0-ref AGC command value P 0-ref Reference maximum value P of 0-ref-max And a reference minimum value P 0-ref-min If reference is made to the maximum P 0-ref-max And a reference minimum value P 0-ref-min The difference exceeds the rated power value P of the new energy station n The specified coefficient is multiplied, the AGC command action is regarded, and the recording signal is triggered to continuously store the actual active power P with the specified duration 0 AGC command value P Of 0 to ref Data storage, skipping to step S103; otherwise, ending and exiting;
s103, monitoring the AGC active control overshoot sigma: detecting the stored actual active power P 0 Data, taking its maximum value P 0-max When P is 0-max ≤P 0-ref-max When AGC active control overshoot sigma is 0, when P 0-max >P 0-ref-max The overshoot sigma of active control of time AGC is sigma = [ (P) 0-max -P 0-ref-max )/P n ]*100 percent, when the AGC active control overshoot sigma is less than or equal to the rated power value P of the new energy station n When the specified coefficient is multiplied, the AGC active power control overshoot is judged to be qualified, otherwise, the AGC active power control overshoot is judged to be unqualified, wherein P n Is the rated power value, P, of the new energy station 0-ref-max Is AGC command value P 0-ref Is measured.
9. The PMU-based energy site index monitoring system of claim 8, wherein step S103 further includes monitoring AGC active control response time T s : the active power P of the new energy station grid-connected point 0 Starting from the last sampled power point and the reference maximum value P 0-ref-max Comparing, and sampling power value deviation | P of power point 0 -P 0-ref-max Rated power value P of new energy station with | less than or equal to n When the specified coefficient is multiple, forward calculation advances one samplingSampling power point, and so on until power value deviation | P of a certain sampling power point 0 -P 0-ref-max I is greater than rated power value P of new energy station n The time length of the sampling power point and the wave recording triggering time is calculated and is taken as the AGC active power control response time T s If AGC active control response time T s And if the value is less than or equal to the set threshold value, judging that the AGC active control response time is qualified, otherwise, judging that the AGC active control response time is unqualified.
10. The PMU-based new energy station energy index monitoring system of claim 8, wherein step S103 further includes monitoring new energy station grid-connected point voltage fluctuations: maximum value U of new energy station grid-connected point voltage U within 5min of statistical wave recording time period max And minimum value U min Calculate Δ U max =|U max -U n Δ and Δ U min =|U min -U n | when is U max >10%U n Or Δ U min >10%U n If so, determining that high and low voltage ride through influence exists, otherwise, determining that high and low voltage ride through influence does not exist, wherein U n A grid-connected point nominal voltage value of the new energy station; the voltage U of the new energy field station grid-connected point is a secondary value of a new energy field station grid-connected point voltage transformer detected by a synchrophasor measuring device of the PMU unit (2) in real time, a real-time positive sequence voltage effective value of the grid-connected point is calculated, the real-time positive sequence voltage effective value is sent to a data concentrator (22) in a mode of network port communication and GB/T26865.2 communication protocols, and then the real-time positive sequence voltage effective value is sent to a performance index analysis and evaluation device (11) of a performance index on-line monitoring main station unit (1) by the data concentrator (22) in a mode of network port communication and 104 communication protocols to perform analysis and evaluation.
11. The PMU-based new energy station energy index monitoring system according to claim 10, wherein step S103 further includes monitoring primary frequency modulation control effects of the new energy station: maximum value f of new energy station grid-connected point frequency f within 5min of statistical wave recording time period max And minimum value f min When f is max At less than 50 Δ, no primary frequency modulation effect is observed, when f max >If it is 50 +/f, it is regarded as the effect of one-time frequency modulation; when f is min When the frequency is more than or equal to 50, the influence of primary frequency modulation control is judged not to exist, and when f is equal to or less than 50 min <When the frequency is 50- Δ f, the influence of primary frequency modulation is judged to exist; wherein, the rate f is a frequency modulation dead zone value, the frequency f of the grid-connected point of the new energy station is a secondary value of a voltage transformer of the grid-connected point of the new energy station detected by a synchrophasor measuring device of the PMU unit (2) in real time, the frequency of the grid-connected point is calculated, and the frequency is sent to the data concentrator (22) in a mode of network port communication and GB/T26865.2 communication protocols and then sent to the performance index analysis and evaluation device (11) of the performance index on-line monitoring main station unit (1) in a mode of network port communication and 104 communication protocols by the data concentrator (22) for analysis and evaluation; the frequency modulation dead zone value Δ f is sent to the data concentrator (22) by the primary frequency modulation system of the new energy station in a network port communication and GB/T26865.2 communication protocol mode, and then sent to the performance index analysis and evaluation device (11) of the performance index on-line monitoring main station unit (1) by the data concentrator (22) in a network port communication and 104 communication protocol mode for analysis and evaluation.
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