Network source coordination online monitoring and evaluation system based on WAMS dynamic data

Abstract

The invention discloses a network source coordination online monitoring and evaluation system based on WAMS dynamic data. 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, a subsynchronous oscillation monitoring module and a visual human-computer interface. Primary frequency modulation response conditions under daily and large disturbance conditions are counted, the real-time operation state of a generator, the low-frequency oscillation suppression capability of an excitation regulator PSS, the operation alarm and limitation of the excitation regulator, the state of an excitation system, excitation voltage regulation and the like are evaluated, important data such as the AGC regulation rate, the AGC regulation precision and the AGC regulation time of the generator set are analyzed, and the AGC regulation accuracy and the AGC regulation time of the generator set are analyzed. And the wind power plant active power maximum variable quantity, wind turbine generator high-low voltage ride through, wind power plant frequency change, grid-connected point voltage change and the like are calculated, and early warning is carried out on a subsynchronous oscillation event. The invention provides an auxiliary tool and a convenient means for quickly positioning a network source coordination problem.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of power grids, and in particular to a network source coordination online monitoring and evaluation system based on WAMS dynamic data. Background Art

[0002] In recent years, the national AC / DC UHV interconnected power grid is taking shape, and the scale of the power grid and the power generation capacity are growing rapidly. The characteristics of the power grid are becoming increasingly complex, the operation mode is changeable, the power grid accidents have a wide impact, the mechanism is complex, and the generator regulation characteristics and operating status have an increasingly significant impact on the safe and stable operation of the system. At the same time, under the current technical means and management methods, there are some generators whose excitation and regulation system performance does not meet the standards, or some power plants change the functions and parameters of the regulators, or even withdraw the AVR (full name Automatic Voltage Regulator), PSS (full name Power System Stabilizer) and primary frequency regulation functions of the units. The performance parameters of the various functions of the unit regulation system of some power plants are not perfect, and the overall response characteristics of the power grid are not considered.

[0003] In order to ensure the safe operation of the power grid, deepen the management of "grid-source coordination", and improve the dynamic regulation characteristics of generators, online analysis and online monitoring methods are of great significance. At present, the online monitoring and evaluation methods of grid-source coordination mainly evaluate the primary frequency regulation performance and excitation system performance of the generator set. There is no targeted and multi-faceted statistical analysis system, and there is a big problem: it does not meet the requirements of the National Dispatching Center for the technical specifications for online monitoring of the dynamic performance of the source network. This analysis method cannot fully display the results of the grid-source coordination evaluation and is relatively one-sided. Summary of the invention

[0004] In view of the technical problems existing in the prior art, the present invention provides a network source coordination online monitoring and evaluation system based on WAMS dynamic data, which provides auxiliary tools and convenient means for quickly locating network source coordination problems.

[0005] In order to solve the above technical problems, the technical solution proposed by the present invention is:

[0006] A network source coordination online monitoring and evaluation system based on WAMS dynamic data, comprising a primary frequency regulation monitoring module, an excitation system evaluation module, an AGC performance evaluation module, a wind power grid-connected online monitoring module, a subsynchronous oscillation monitoring module and a visual human-machine interface; the input ends of the primary frequency regulation monitoring module, the excitation system evaluation module, the AGC performance evaluation module, the wind power reactive power regulation capability monitoring module and the subsynchronous oscillation monitoring module are all connected to the wide area measurement system WAMS, and the output ends are all connected to the visual human-machine interface;

[0007] The primary frequency modulation monitoring module is used to read the time series real-time library data of the wide area measurement system WAMS, detect and calculate the primary frequency modulation evaluation data in real time, and output the primary frequency modulation evaluation data to the visual human-computer interface;

[0008] The excitation system evaluation module is used to read the time series real-time library data of the wide area measurement system WAMS, detect and calculate the evaluation data of the excitation system in real time, and output the evaluation data of the excitation system to the visual human-computer interface;

[0009] The AGC performance evaluation module is used to read the time series real-time library data of the wide area measurement system WAMS, detect and calculate the AGC performance evaluation data in real time, and output the AGC performance evaluation data to the visual human-computer interface;

[0010] The wind power grid-connected online monitoring module is used to read the time series real-time library data of the wide area measurement system WAMS, detect and calculate the wind power reactive power regulation capability evaluation data in real time, and output the wind power reactive power regulation capability evaluation data to the visual human-computer interface;

[0011] The subsynchronous oscillation monitoring module is used to read the time series history library data of the wide area measurement system WAMS, calculate the subsynchronous oscillation evaluation data offline, and output the subsynchronous oscillation evaluation data to a visual human-computer interface.

[0012] Preferably, the primary frequency modulation evaluation data includes primary frequency modulation contribution, primary frequency modulation speed change rate, response event, stabilization time and frequency modulation dead zone.

[0013] Preferably, the primary frequency regulation monitoring module is also used to read the unit model information from the model table of the real-time database and read the real-time dynamic data from the time series real-time library; when the grid frequency disturbance exceeds the set frequency threshold value, first calculate the positive and negative primary frequency regulation contribution of the generator set during an integration period when the grid frequency crosses the primary frequency regulation dead zone of the unit, and if the primary frequency regulation contribution is positive, it is judged that the primary frequency regulation is correctly operating; otherwise, it is considered that the frequency regulation action is incorrect.

[0014] Preferably, the AGC performance evaluation data includes AGC regulation rate, AGC regulation accuracy and AGC response time.

[0015] Preferably, the calculation process of the AGC adjustment rate is:

[0016] P min,i is the adjustable lower limit output of the unit, P max,i is its adjustable upper limit output, P Ni is its rated output, P di It is the critical power of its start-stop grinding;

[0017] The AGC unit command response process is as follows: before T0 and before T1, the unit stably operates near the output value P1. At T0, the AGC control program sends a set point command of P2 to the unit, and the unit starts to increase its output. At T1, it reliably crosses the regulation dead zone of P1, and then enters the grinding interval at T2. Until T3, the grinding process ends, and the unit continues to increase its output. At T4, it enters the regulation dead zone for the first time, and then oscillates slightly near P2 and stably operates near P2. Until T5, the AGC control program sends a new set point command to the unit, with a power value of P3. The unit then starts to reduce its output, and reliably crosses the regulation dead zone at T6. At T7, it enters the regulation dead zone of P3 and stably operates near it.

[0018] The calculation process of AGC adjustment rate is as follows:

[0019] In the output increase stage, that is, the T1-T4 interval, since it crosses the grinding point, the influence of grinding must be eliminated when calculating its adjustment rate; in the output reduction interval, that is, the T6-T7 interval, it does not cross the grinding stop point, so the influence of grinding stop does not need to be considered when calculating; Combining these two situations, the AGC adjustment rate calculation formula is as follows:

[0020]

[0021] In the formula, v i is the regulation rate of the i-th unit, P Ei is the output when the response process ends, P Si is the output when it starts to move, T Ei It's time to end, T Si It's time to start, P di is the critical power of its start-stop grinding, T di It is the time actually consumed by starting and stopping the grinding mill.

[0022] Preferably, the calculation process of the AGC adjustment accuracy is:

[0023] In the stable operation stage of the i-th unit, that is, the interval T4-T5, the unit output fluctuates slightly around P2; in such a period, the absolute value of the difference between the actual output and the set point command is integrated, and then the integral value is divided by the integration time, which is the adjustment deviation of the period, as shown in the following formula:

[0024]

[0025] Among them, ΔP i,j is the regulation deviation of the i-th unit in the j-th calculation period, P i,j (t) is the actual output during the period, P jis the set point command value during this period, T Ej is the end time of the period, T Sj The starting time of this period.

[0026] Preferably, the specific process of calculating the AGC response time is as follows: the AGC response time refers to the time taken for the unit output to reliably step out of the regulation dead zone consistent with the regulation direction based on the original output point after the AGC system issues a command, that is:

[0027] t i-1 =T1-T0 and t i =T6-T5.

[0028] Preferably, the subsynchronous oscillation monitoring module is also used for offline reading of the wide area measurement system WAMS time series history library data; for thermal power units, by offline reading of the excitation voltage, excitation current, machine-end voltage, machine-end current and generator mechanical speed data, the subsynchronous oscillation is qualitatively analyzed and calculated offline through FFT calculation; for wind turbines, by offline reading of the voltage and current data of the collection line, the subsynchronous oscillation is qualitatively analyzed and calculated offline through FFT calculation, and the FFT spectrum analysis curves of the excitation voltage, excitation current, machine-end voltage, machine-end current, voltage and current signals of the collection line are plotted, and the subsynchronous oscillation frequency and amplitude are displayed in a tabular form.

[0029] Compared with the prior art, the advantages of the present invention are:

[0030] The network source coordination online monitoring and evaluation system based on WAMS dynamic data of the present invention includes a primary frequency regulation monitoring module, an excitation system evaluation module, an AGC performance evaluation module, a wind power grid-connected online monitoring module and a subsynchronous oscillation monitoring module; real-time statistics of the primary frequency regulation response in daily and large disturbance conditions, calculation and evaluation of the real-time operating status of the generator, calculation and analysis of indicators such as the AGC regulation rate, AGC regulation accuracy and AGC regulation time of the generator set, and early warning of subsynchronous oscillation events. The present invention provides auxiliary tools and convenient means for power grid dispatching and operation personnel to quickly locate network source coordination problems.

[0031] The present invention solves the problem that network source coordination indicators cannot be fully and automatically analyzed and evaluated by establishing an online monitoring and evaluation indicator system for network source coordination based on WAMS dynamic data; the constructed online monitoring and evaluation system for network source coordination can greatly facilitate power grid dispatching and operation personnel to monitor the degree of network source coordination in real time.

[0032] The present invention makes full use of the characteristics of massive dynamic data of WAMS, comprehensively evaluates and analyzes the network source coordination situation from five aspects: primary frequency regulation, excitation system, AGC performance, wind power grid-connected performance evaluation and subsynchronous oscillation, and assists dispatching and operating personnel to intuitively and comprehensively reflect the degree and situation of network source coordination.

[0033] The present invention can effectively solve the problem that network source coordination monitoring and evaluation indicators are difficult to evaluate; the constructed system, as a subunit under the WAMS application of the smart grid dispatching technical support system, provides convenience for dispatching and operating personnel to quickly grasp various indicators of network source coordination, and provides more detailed auxiliary decision-making basis for further analysis of the degree of network source coordination.

[0034] The present invention is applicable to power grids that have deployed the smart grid dispatching technical support system platform and the WAMS application. The network source coordination online monitoring and evaluation system is a subunit of the WAMS application. Based on the smart grid dispatching technical support system platform, the network source coordination online monitoring and evaluation system provides convenience for dispatching operators to quickly grasp the various indicators of network source coordination, and provides a more detailed auxiliary decision-making basis for further analysis of the degree of network source coordination. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a structural block diagram of an embodiment of the network source coordinated online monitoring and evaluation system of the present invention.

[0036] Figure 2 This is a diagram showing an embodiment of the network source coordinated online monitoring and evaluation system of the present invention in a specific application.

[0037] Figure 3 It is a functional block diagram of a primary frequency modulation monitoring module in an embodiment of the present invention.

[0038] Figure 4 It is a functional block diagram of an excitation system evaluation module in an embodiment of the present invention.

[0039] Figure 5 It is a functional block diagram of an AGC performance evaluation module in an embodiment of the present invention.

[0040] Figure 6 It is a schematic diagram of the AGC unit command response process of the present invention.

[0041] Figure 7 It is a functional block diagram of an embodiment of a wind power grid-connected performance online monitoring module of the present invention.

[0042] Figure 8 FIG. 4 is a functional block diagram of a subsynchronous oscillation monitoring module in an embodiment of the present invention.

[0043] Fig. 92 is a structural block diagram of a visualization interface of the present invention in an embodiment. DETAILED DESCRIPTION

[0044] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments.

[0045] like Figure 1 As shown, the network source coordination online monitoring and evaluation system based on WAMS dynamic data disclosed in the embodiment of the present invention includes a primary frequency regulation monitoring module, an excitation system evaluation module, an AGC performance evaluation module, a wind power grid-connected online monitoring module, a subsynchronous oscillation monitoring module and a visual human-machine interface;

[0046] The input ends of the primary frequency regulation monitoring module, the excitation system evaluation module, the AGC performance evaluation module, the wind power reactive power regulation capability monitoring module and the subsynchronous oscillation monitoring module are all connected to the wide area measurement system WAMS, and the output ends are all connected to the visual human-machine interface;

[0047] The primary frequency modulation monitoring module is used to read the real-time database data of the wide area measurement system WAMS time series, detect and calculate the important parameters of the primary frequency modulation in real time, and output the important parameters of the primary frequency modulation to the visual human-computer interface;

[0048] The excitation system evaluation module is used to read the wide area measurement system WAMS time series real-time library data, detect and calculate the important parameters of the excitation system in real time, and output the important parameters of the excitation system to the visual human-machine interface;

[0049] AGC performance evaluation module is used to read the wide area measurement system WAMS time series real-time library data, detect and calculate the important parameters of AGC performance in real time, and output the important parameters of AGC performance to the visual human-computer interface;

[0050] Wind power grid-connected online monitoring module, used to read the real-time database data of the wide area measurement system WAMS time series, detect and calculate the important parameters of wind power reactive power regulation capability in real time, and output the important parameters of wind power reactive power regulation capability to the visual human-machine interface;

[0051] The subsynchronous oscillation monitoring module is used to read the wide area measurement system WAMS time series history library data, calculate the important parameters of the subsynchronous oscillation offline, and output the important parameters of the subsynchronous oscillation to the visual human-computer interface.

[0052] like Figure 2As shown in the figure, the grid dispatching operator logs in to the smart grid dispatching technical support system, accesses the WAMS application main screen, and logs in to the grid source coordination online monitoring and evaluation system by operating the "grid source coordination monitoring" button. In this system, there are five independent sub-function interfaces, including primary frequency regulation, excitation system, AGC performance, wind power grid connection performance, and subsynchronous oscillation analysis, which can view and analyze the corresponding functional services of the grid source coordination online monitoring and evaluation system.

[0053] The present invention uses a network source coordination online monitoring and evaluation method and software architecture based on WAMS dynamic data based on a smart grid dispatching technology support system platform, a network source coordination online monitoring and evaluation indicator system, a domestic commercial database read and write access technology, and a WAMS time series real-time library access technology, and can ultimately construct a network source coordination online monitoring and evaluation system based on WAMS dynamic data.

[0054] like Figure 3 As shown, the primary frequency regulation monitoring module reads configuration information from the configuration table in the real-time database; the configuration information includes the frequency regulation dead zone of thermal power units (Hz), the frequency regulation dead zone of hydropower units (Hz), the steady-state time before crossing the dead zone (seconds), the disturbance judgment threshold, the duration of crossing the threshold (seconds), the maximum integration time (seconds), the time interval between two effective disturbances (seconds), and the unit grid connection threshold (MW).

[0055] The primary frequency regulation monitoring module reads the unit model information from the model table of the real-time database; reads the real-time dynamic data from the time series real-time library; when the grid frequency disturbance exceeds the set frequency threshold, first calculate the positive and negative primary frequency regulation contribution of the generator set during an integral period when the grid frequency crosses the primary frequency regulation dead zone of the unit. If the contribution is positive, the primary frequency regulation is judged to be correct; otherwise, it is considered that the frequency regulation action is incorrect; by calculating the correct action rate of the primary frequency regulation of the generator set, the response degree of the generator set to the frequency is evaluated; the real-time statistics of the unit's primary frequency regulation system on-off status and the excitation system on-off status are recorded in the input rate statistics table.

[0056] When a frequency disturbance is detected in the power grid and the conditions for starting a frequency regulation event are met, the relevant parameters of the unit are recorded and the response effect of the primary frequency regulation is calculated, including the primary frequency regulation contribution, the primary frequency regulation speed change rate, the response event, the stabilization time and the frequency regulation dead zone; after the disturbance ends, the calculation results are written to the commercial library table; the visual human-machine interface tool reads the statistical information of the primary frequency regulation system's activation and deactivation status and the unit's primary frequency regulation performance data from the commercial library, and organizes them into a report form for use by dispatching and operating personnel.

[0057] like Figure 4As shown, the excitation system evaluation module reads the unit model information from the model table of the real-time database; reads the real-time dynamic data from the time series real-time library; and counts the unit excitation system startup and shutdown status in real time and records it in the statistical report.

[0058] When voltage disturbance is detected in the power grid and the excitation event start conditions are met, the relevant parameters of the unit (such as generator status monitoring data, excitation system status and excitation voltage regulation data, etc.) are recorded and stored in the corresponding data tables. After the disturbance ends, the calculation results are written to the commercial library table. The human-machine visualization tool reads the statistical information of the start-up and shutdown status and the excitation system performance data of the unit from the commercial library, and organizes them into a report form for use by dispatching and operating personnel.

[0059] like Figure 5 As shown in the figure, the AGC performance evaluation module reads the dynamic data of the WAMS time series real-time library online and calculates the unit AGC regulation performance indicators, which mainly include the three indicators of AGC regulation rate, AGC regulation accuracy and AGC response time, and records them in the AGC regulation rate result table, AGC regulation accuracy result table and AGC response time result table respectively for query and display in the visual human-machine interface.

[0060] like Figure 6 As shown in the figure, this is a typical AGC unit command response process of a certain unit. Figure 6 In, P min,i is the adjustable lower limit output of the unit, P max,i is its adjustable upper limit output, P Ni is its rated output, P di It is the critical power of its start-stop grinding. The whole process is: before T0 and before T1, the unit stably operates near the output value P1. At T0, the AGC control program sends a set point command of P2 to the unit, and the unit begins to increase its output. At T1, it can reliably step out of the regulation dead zone of P1, and then enter the grinding interval at T2. Until T3, the grinding process ends, and the unit continues to increase its output. At T4, it enters the regulation dead zone for the first time, and then oscillates slightly near P2, and stably operates near P2. Until T5, the AGC control program sends a new set point command to the unit, with a power value of P3. The unit then begins to reduce its output, reliably steps out of the regulation dead zone at T6, and enters the regulation dead zone of P3 at T7, and stably operates near it.

[0061] In summary, the process of the computer group AGC adjustment performance indicators (AGC adjustment rate, AGC adjustment accuracy and AGC response time) is:

[0062] Calculate the AGC adjustment rate: The AGC adjustment rate refers to the rate at which the unit responds to the set point command, which can be divided into the rising rate and the falling rate. The calculation process of the AGC adjustment rate is described as follows:

[0063] In the output stage, that is, T1~T4, since it crosses the grinding point, the influence of grinding must be eliminated when calculating its adjustment rate; in the output reduction range, that is, T6~T7, it does not cross the grinding stop point, so the influence of grinding stop does not need to be considered when calculating. Combining these two situations, the actual adjustment rate calculation formula is as follows:

[0064]

[0065] In the formula, v i is the regulation rate of the i-th unit (MW / min), P Ei is the output (MW) at the end of the response process, P Si is the output (MW) at the start of operation, T Ei is the ending time (minutes), T Si is the starting time (minutes), P di is the critical power of the start-stop grinding mill (MW), T di It is the actual time consumed by starting and stopping the grinding mill (minutes).

[0066] Calculate AGC regulation accuracy: AGC regulation accuracy refers to the difference between actual output and set point output after the unit response is stable. The calculation process of AGC regulation accuracy is described as follows:

[0067] During the stable operation phase of the i-th unit, that is, the T4-T5 interval, the unit output fluctuates slightly around P2. In such a period, the absolute value of the difference between the actual output and the set point command is integrated, and then the integral value is divided by the integration time, which is the adjustment deviation of the period, as shown in the following formula:

[0068]

[0069] Among them, ΔP i,j is the regulation deviation of the i-th unit in the j-th calculation period (MW), P i,j (t) is the actual output during the period, P j is the set point command value during this period, T Ej is the end time of the period, T Sj The starting time of this period.

[0070] Calculate the AGC response time: The AGC response time refers to the time it takes for the unit output to reliably step out of the regulation dead zone consistent with the regulation direction based on the original output point after the AGC system issues a command. That is:

[0071] ti-1 =T1-T0 and t i =T6-T5.

[0072] like Figure 7 As shown in the figure, the background calculation unit of the wind power grid-connected online monitoring module reads the WAMS time series real-time library data online, analyzes and calculates the maximum change in active power of the wind farm, the change in frequency of the wind farm, the voltage change at the grid-connected point and other data, and writes them into the commercial library table for reading and display by the human-computer visualization interface.

[0073] like Figure 8 As shown in the figure, the subsynchronous oscillation monitoring module reads the wide area measurement system WAMS time series history library data offline, and the data is the PMU substation phasor data of 100 frames / s. For thermal power units, the subsynchronous oscillation is qualitatively analyzed and calculated offline by reading the excitation voltage, excitation current, machine terminal voltage, machine terminal current and generator mechanical speed data offline, and FFT calculation is used to calculate the subsynchronous oscillation; for wind turbines, the subsynchronous oscillation is qualitatively analyzed and calculated offline by reading the voltage and current data of the collection line offline, and FFT calculation is used to draw the FFT spectrum analysis curves corresponding to the excitation voltage, excitation current, machine terminal voltage, machine terminal current, collection line voltage, current and other signals, and the subsynchronous oscillation frequency and amplitude are displayed in the form of a table.

[0074] like Fig. 9 As shown in the figure, the implementation steps of the visual interface structure of the network source coordination monitoring and evaluation system are as follows:

[0075] (1)Use Qt4.8.3 to design the overall interface;

[0076] (2) This module is divided into five sub-interfaces: "Primary frequency regulation", "Excitation system", "AGC performance", "Wind power grid connection performance" and "Subsynchronous oscillation analysis";

[0077] (3) The primary frequency regulation interface is mainly responsible for monitoring the frequency response effect indicators of the unit in daily and large grid frequency disturbance situations;

[0078] (4) The excitation system interface is mainly responsible for displaying indicators such as the real-time operating status of the generator, the ability of the excitation regulator PSS to suppress low-frequency oscillation, the operating alarm and limitation of the excitation regulator, the status of the excitation system, and the excitation voltage regulation;

[0079] (5) The AGC performance interface is mainly responsible for displaying the three indicators of the generator set: AGC response speed, AGC adjustment time, and AGC adjustment accuracy;

[0080] (6) The wind power grid-connected performance interface is mainly responsible for displaying grid-connected indicators such as the maximum change in active power of the wind farm, high and low voltage ride-through of wind turbines, frequency changes of wind farms, and voltage changes at the grid connection point;

[0081] (7) The subsynchronous oscillation analysis interface is mainly responsible for the display of subsynchronous oscillation frequency, amplitude index and FFT spectrum curve.

[0082] The network source coordination monitoring and evaluation system is deployed under the WAMS application of the smart grid dispatching technical support system and connected to the PMU measurement site that meets the requirements of the National Dispatching Center for the online monitoring of the dynamic performance of the source network. In the implementation of the project, the system can be operated under the conditions that the basic environment of the smart grid dispatching technical support system can operate normally and the WAMS application is correctly deployed. It is very simple and easy to use.

[0083] The network source coordination online monitoring and evaluation system based on WAMS dynamic data of the present invention includes a primary frequency regulation monitoring module, an excitation system evaluation module, an AGC performance evaluation module, a wind power grid-connected online monitoring module and a subsynchronous oscillation monitoring module; real-time statistics of the primary frequency regulation response in daily and large disturbance conditions, calculation and evaluation of the real-time operation status of the generator, the excitation system status and the excitation voltage regulation, etc., calculation and analysis of the AGC regulation rate, AGC regulation accuracy and AGC regulation time of the generator set and other indicators, and early warning of subsynchronous oscillation events. The present invention provides auxiliary tools and convenient means for power grid dispatching and operation personnel to quickly locate network source coordination problems.

[0084] The present invention solves the problem that network source coordination indicators cannot be fully and automatically analyzed and evaluated by establishing an online monitoring and evaluation indicator system for network source coordination based on WAMS dynamic data; the constructed online monitoring and evaluation system for network source coordination can greatly facilitate power grid dispatching and operation personnel to monitor the degree of network source coordination in real time.

[0085] The present invention makes full use of the characteristics of massive dynamic data of WAMS, comprehensively evaluates and analyzes the network source coordination situation from five aspects: primary frequency regulation, excitation system, AGC performance, wind power grid-connected performance evaluation and subsynchronous oscillation, and assists dispatching and operating personnel to intuitively and comprehensively reflect the degree and situation of network source coordination.

[0086] The present invention can effectively solve the problem that network source coordination monitoring and evaluation indicators are difficult to evaluate; the constructed system, as a subunit under the WAMS application of the smart grid dispatching technical support system, provides convenience for dispatching and operating personnel to quickly grasp various indicators of network source coordination, and provides more detailed auxiliary decision-making basis for further analysis of the degree of network source coordination.

[0087] The present invention is applicable to power grids that have deployed the smart grid dispatching technical support system platform and the WAMS application. The network source coordination online monitoring and evaluation system is a subunit of the WAMS application. Based on the smart grid dispatching technical support system platform, the network source coordination online monitoring and evaluation system provides convenience for dispatching operators to quickly grasp the various indicators of network source coordination, and provides a more detailed auxiliary decision-making basis for further analysis of the degree of network source coordination.

[0088] The above are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should be regarded as the protection scope of the present invention.

Claims

1. A network source coordination online monitoring and evaluation system based on WAMS dynamic data, characterized in that: It includes a primary frequency regulation monitoring module, an excitation system evaluation module, an AGC performance evaluation module, a wind power grid-connected online monitoring module, a subsynchronous oscillation monitoring module and a visual human-machine interface; the input ends of the primary frequency regulation monitoring module, the excitation system evaluation module, the AGC performance evaluation module, the wind power reactive power regulation capability monitoring module and the subsynchronous oscillation monitoring module are all connected to the wide area measurement system WAMS, and the output ends are all connected to the visual human-machine interface; The primary frequency modulation monitoring module is used to read the time series real-time library data of the wide area measurement system WAMS, detect and calculate the primary frequency modulation evaluation data in real time, and output the primary frequency modulation evaluation data to the visual human-computer interface; The excitation system evaluation module is used to read the time series real-time library data of the wide area measurement system WAMS, detect and calculate the evaluation data of the excitation system in real time, and output the evaluation data of the excitation system to the visual human-computer interface; The AGC performance evaluation module is used to read the time series real-time library data of the wide area measurement system WAMS, detect and calculate the AGC performance evaluation data in real time, and output the AGC performance evaluation data to the visual human-computer interface; The wind power grid-connected online monitoring module is used to read the time series real-time library data of the wide area measurement system WAMS, detect and calculate the wind power reactive power regulation capability evaluation data in real time, and output the wind power reactive power regulation capability evaluation data to the visual human-computer interface; The subsynchronous oscillation monitoring module is used to read the time series history library data of the wide area measurement system WAMS, calculate the subsynchronous oscillation evaluation data offline, and output the subsynchronous oscillation evaluation data to a visual human-computer interface.

2. The network source coordination online monitoring and evaluation system based on WAMS dynamic data according to claim 1 is characterized in that: The primary frequency modulation evaluation data includes primary frequency modulation contribution, primary frequency modulation speed change rate, response event, stabilization time and frequency modulation dead zone.

3. The network source coordination online monitoring and evaluation system based on WAMS dynamic data according to claim 2 is characterized in that: The primary frequency regulation monitoring module is also used to read the unit model information from the model table of the real-time database and read the real-time dynamic data from the time series real-time library; when the grid frequency disturbance exceeds the set frequency threshold value, first calculate the positive and negative primary frequency regulation contribution of the generator set during an integration period when the grid frequency crosses the primary frequency regulation dead zone of the unit, and if the primary frequency regulation contribution is positive, it is judged that the primary frequency regulation is correctly operating; otherwise, it is considered that the frequency regulation action is incorrect.

4. The network source coordination online monitoring and evaluation system based on WAMS dynamic data according to claim 1, 2 or 3, characterized in that: The AGC performance evaluation data includes AGC regulation rate, AGC regulation accuracy and AGC response time.

5. The network source coordination online monitoring and evaluation system based on WAMS dynamic data according to claim 4 is characterized in that: The calculation process of the AGC adjustment rate is: P min,i is the adjustable lower limit output of the unit, P max,i is its adjustable upper limit output, P Ni is its rated output, P di It is the critical power of its start-stop grinding; The AGC unit command response process is as follows: before T0 and before T1, the unit stably operates near the output value P1. At T0, the AGC control program sends a set point command of P2 to the unit, and the unit starts to increase its output. At T1, it reliably crosses the regulation dead zone of P1, and then enters the grinding interval at T2. Until T3, the grinding process ends, and the unit continues to increase its output. At T4, it enters the regulation dead zone for the first time, and then oscillates slightly near P2 and stably operates near P2. Until T5, the AGC control program sends a new set point command to the unit, with a power value of P3. The unit then starts to reduce its output, and reliably crosses the regulation dead zone at T6. At T7, it enters the regulation dead zone of P3 and stably operates near it. The calculation process of AGC adjustment rate is as follows: In the output increase stage, that is, the T1-T4 interval, since it crosses the grinding point, the influence of grinding must be eliminated when calculating its adjustment rate; in the output reduction interval, that is, the T6-T7 interval, it does not cross the grinding stop point, so the influence of grinding stop does not need to be considered when calculating; Combining these two situations, the AGC adjustment rate calculation formula is as follows: In the formula, v i is the regulation rate of the i-th unit, P Ei is the output when the response process ends, P Si is the output when it starts to move, T Ei It's time to end, T Si It's time to start, P di is the critical power of its start-stop grinding, T di It is the time actually consumed by starting and stopping the grinding mill.

6. The network source coordination online monitoring and evaluation system based on WAMS dynamic data according to claim 5 is characterized in that: The calculation process of the AGC adjustment accuracy is: In the stable operation stage of the i-th unit, that is, the interval T4-T5, the unit output fluctuates slightly around P2; in such a period, the absolute value of the difference between the actual output and the set point command is integrated, and then the integral value is divided by the integration time, which is the adjustment deviation of the period, as shown in the following formula: Among them, ΔP i,j is the regulation deviation of the i-th unit in the j-th calculation period, P i,j (t) is the actual output during the period, P j is the set point command value during this period, T Ej is the end time of the period, T Sj The starting time of this period.

7. The network source coordination online monitoring and evaluation system based on WAMS dynamic data according to claim 6 is characterized in that: The specific process of calculating the AGC response time is as follows: The AGC response time refers to the time taken for the unit output to reliably step out of the regulation dead zone consistent with the regulation direction based on the original output point after the AGC system issues a command, that is: t i-1 =T1-T0 and t i =T6-T5.

8. The network source coordination online monitoring and evaluation system based on WAMS dynamic data according to claim 1, 2 or 3, characterized in that: The subsynchronous oscillation monitoring module is also used for offline reading of the wide area measurement system WAMS time series history library data; for thermal power units, by offline reading of the excitation voltage, excitation current, machine-end voltage, machine-end current and generator mechanical speed data, the subsynchronous oscillation is qualitatively analyzed and calculated offline through FFT calculation; for wind turbines, by offline reading of the voltage and current data of the collection line, the subsynchronous oscillation is qualitatively analyzed and calculated offline through FFT calculation, and the FFT spectrum analysis curves of the excitation voltage, excitation current, machine-end voltage, machine-end current, voltage and current signals of the collection line are plotted, and the subsynchronous oscillation frequency and amplitude are displayed in a tabular form.

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