CN115208067B - New energy station inertia response detection method, device and system - Google Patents
New energy station inertia response detection method, device and system Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M1/00—Testing static or dynamic balance of machines or structures
- G01M1/10—Determining the moment of inertia
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
The invention discloses a new energy station inertia response detection method, a device and a system, which belong to the field of new energy power generation and are used for solving the problem that the existing new energy station inertia response detection method cannot monitor inertia response stability; the invention can feed back the inertia constant of the new energy station in real time, thereby improving the detection precision of the new energy inertia response and the timeliness of data output, and avoiding the natural frequency of the system from being reduced and generating resonance due to the overlarge inertia constant.
Description
Technical Field
The invention belongs to the field of new energy power generation, relates to a data analysis technology, and particularly relates to a new energy station inertia response detection method, device and system.
Background
The new energy generally refers to renewable energy developed and utilized on the basis of new technology, and includes solar energy, biomass energy, wind energy, geothermal energy, wave energy, ocean current energy, tidal energy and the like. Further, hydrogen energy and the like; the widely used energy sources such as coal, petroleum, natural gas, water energy, nuclear fission energy and the like are called conventional energy sources. The new energy power generation is to utilize the prior art, and the power generation process is realized through the novel energy.
In the prior art, a new energy station inertia response detection method can only monitor and feed back inertia response, but cannot monitor the stability of the new energy station inertia response detection method and cannot standardize parameters influencing the inertia response, and therefore, a new energy station inertia response detection method, a new energy station inertia response detection device and a new energy station inertia response detection system are provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a new energy station inertia response detection method, a new energy station inertia response detection device and a new energy station inertia response detection system, which are used for solving the problem that the existing new energy station inertia response detection method cannot monitor the inertia response stability.
The technical problem to be solved by the invention is as follows: how to provide a new energy station inertia response detection method, device and system capable of monitoring inertia response stability.
The purpose of the invention can be realized by the following technical scheme:
the system for detecting the inertia response of the new energy station comprises a detection platform, wherein the detection platform is in communication connection with an inertia analysis module, a stability monitoring module, a factor analysis module, a dead zone setting module and a storage module;
the inertia analysis module is used for carrying out inertia response monitoring analysis on the new energy station and obtaining an inertia constant Hsys;
the stability monitoring module is used for monitoring and analyzing the inertia response stability of the new energy station to obtain a stability coefficient WD, and judging whether the inertia response stability of the new energy station meets the requirement or not according to the value of the stability coefficient;
the factor analysis module is used for monitoring and analyzing factors with unstable inertia response of the new energy station in a fluctuation time period and marking the factors with unstable inertia response as environmental abnormality or mechanical abnormality;
the dead zone setting module is used for performing dead zone setting analysis on the new energy station, obtaining a dead zone range, and sending the dead zone range to a mobile phone terminal of a manager through the detection platform.
As a preferred embodiment of the present invention, a specific process of the inertia response monitoring and analyzing performed by the inertia analyzing module on the new energy station includes: acquiring the total rated power generation capacity Ssys and the generalized kinetic energy Esys of the system of the new energy station, wherein the total rated power generation capacity Ssys is the sum of the rated power generation capacities of the conventional power supply and the new energy unit; the system generalized kinetic energy Esys is the sum of the energy forms of synchronous maneuvering energy, asynchronous maneuvering energy, voltage source type virtual inertia, current source type virtual inertia and static load voltage equivalent inertia, an inertia constant Hsys of the new energy station is obtained through a formula Hsys = Esys/Ssys, inertia thresholds Hmin and Hmax are obtained through a storage module, and the inertia constant Hsys of the new energy station is compared with the inertia thresholds Hmin and Hmax: if Hsys is not less than Hmin and not more than Hmax, judging that the inertial response of the new energy station meets the requirement, and sending a response qualified signal to the detection platform by the inertial analysis module; otherwise, judging that the inertial response of the new energy station does not meet the requirements, sending a response unqualified signal to the detection platform by the inertial analysis module, and sending the response unqualified signal to the mobile phone terminal of the manager after the detection platform receives the response unqualified signal.
As a preferred embodiment of the present invention, the process of obtaining the stability factor WD includes: setting monitoring time, dividing the monitoring time into a plurality of monitoring periods, acquiring the difference value between the maximum value and the minimum value of the torque disturbance frequency of the new energy station in the monitoring periods and marking the difference value as torque data NP, acquiring the difference value between the maximum value and the minimum value of the inertia constant of the new energy station in the monitoring periods and marking the difference value as inertia data GC, and marking the ratio of the inertia data GC to the torque data NP as a stability coefficient WD of the monitoring periods.
As a preferred embodiment of the present invention, the process of determining whether the inertia response stability of the new energy station satisfies the requirement includes: acquiring a stability threshold WDmax through a storage module, and comparing a stability coefficient WD of a monitoring period with the stability threshold WDmax: if the stability coefficient WD is smaller than the stability threshold WDmax, judging that the inertia response stability of the new energy station in the monitoring period meets the requirement, marking the corresponding monitoring period as the stable period, sending the stable period to the detection platform, and sending the stable period to the dead zone setting module after the detection platform receives the stable period; if the stability coefficient WD is larger than or equal to the stability threshold WDmax, judging that the inertia response stability of the new energy station in the monitoring period does not meet the requirement, marking the corresponding monitoring period as a fluctuation period, sending the fluctuation period to a detection platform, and sending the fluctuation period to a factor analysis module after the detection platform receives the fluctuation period; the ratio of the number of the fluctuation time periods to the number of the monitoring time periods is marked as a fluctuation ratio, a fluctuation threshold value is obtained through a storage module, and the fluctuation ratio is compared with the fluctuation threshold value: if the fluctuation ratio is smaller than the fluctuation threshold value, judging that the integral stability of the inertia response of the new energy station meets the requirement, and sending an integral qualified signal to the detection platform by the stability monitoring module; if the fluctuation ratio is larger than or equal to the fluctuation threshold value, judging that the integral stability of the inertia response of the new energy station does not meet the requirement, sending an integral unqualified signal to the detection platform by the stability monitoring module, and sending the integral unqualified signal to a mobile phone terminal of a manager after the detection platform receives the integral unqualified signal.
As a preferred embodiment of the present invention, the specific process of monitoring and analyzing the factors of unstable inertia response of the new energy station within the fluctuation time period by the factor analysis module includes: acquiring temperature data WD, humidity data SD and vibration data ZD of a new energy station in a fluctuation time period, wherein the temperature data WD is the maximum air temperature of the new energy station in the fluctuation time period, the humidity data SD is the maximum air humidity of the new energy station in the fluctuation time period, and the vibration data ZD is the maximum rigid body vibration frequency of the new energy station in the fluctuation time period, and obtaining an environment coefficient HJ by carrying out numerical calculation on the temperature data WD, the humidity data SD and the vibration data ZD; and acquiring an environment threshold HJmax through a storage module, comparing the environment coefficient HJ with the environment threshold HJmax, and marking the factors with unstable inertia response as environmental abnormality or mechanical abnormality according to the comparison result.
As a preferred embodiment of the present invention, the specific process of comparing the environmental coefficient HJ with the environmental threshold HJmax includes: if the environment coefficient HJ is larger than or equal to the environment threshold value HJmax, determining that the factor of unstable inertia response of the new energy station in the fluctuation time period is an environment anomaly, and sending an environment adjusting signal to the detection platform by the factor analysis module; if the environment coefficient HJ is smaller than the environment threshold value HJmax, the fact that the factors of unstable inertia response of the new energy station in the fluctuation time period are judged to be mechanical abnormity, and the factor analysis module sends mechanical maintenance signals to the detection platform.
As a preferred embodiment of the present invention, the specific process of the dead zone setting module performing the dead zone setting analysis for the new energy station includes: obtaining an average value of a maximum value and a minimum value of an inertia constant of the new energy station in a stable period and marking the average value as a stable table value, marking the average value of an inertia threshold value Hmax and Hmin as an inertia standard value, marking an absolute value of a difference value between the stable table value and the inertia standard value as an inertia table value in the stable period, forming an inertia table range by the maximum value and the minimum value of the inertia table values in all the stable periods, dividing the inertia table range into a plurality of inertia table intervals, obtaining a dead zone set value of the new energy station in the stable period of the inertia table range and marking the dead zone set value as a dead zone value; the dead zone setting module sends the dead zone range to the detection platform, and the detection platform sends the dead zone range to a mobile phone terminal of a manager after receiving the dead zone range.
A new energy station inertia response detection method comprises the following steps:
the method comprises the following steps: carrying out inertia response monitoring analysis on the new energy station, obtaining the total rated power generation capacity Ssys and the generalized kinetic energy Esys of the system of the new energy station, marking the ratio of the generalized kinetic energy Esys and the total rated power generation capacity Ssys as an inertia constant Hsys, and judging whether the inertia response of the new energy station meets the requirement or not according to the value of the inertia constant Hsys;
step two: monitoring and analyzing the inertia response stability of the new energy station, setting monitoring duration, dividing the monitoring duration into a plurality of monitoring periods, acquiring a stability coefficient DD of the monitoring periods, and judging whether the inertia response stability of the new energy station meets the requirement or not through the stability coefficient DD;
step three: monitoring and analyzing factors with unstable inertia response of the new energy station in a fluctuation time period to obtain an environment coefficient, and marking the factors with unstable inertia response of the new energy station as environmental abnormality or mechanical abnormality according to the numerical value of the environment coefficient;
step four: and performing dead zone setting analysis for the new energy station, obtaining a dead zone range, and sending the dead zone range to a mobile phone terminal of a manager through a detection platform.
The utility model provides a new forms of energy station inertia response detection device, this new forms of energy station inertia response detection device is applied to in the inertia response detection system of new forms of energy station.
Compared with the prior art, the invention has the beneficial effects that:
1. the inertia analysis module can feed back the inertia constant of the new energy station in real time, so that the detection precision of the new energy inertia response and the data output timeliness are improved, and the natural frequency of a system is prevented from being reduced and resonance is prevented from being generated due to the fact that the inertia constant is too large;
2. the stability monitoring module can perform correlation analysis on the torque disturbance frequency and the inertia constant, and the working stability of the new energy station is monitored and analyzed through the fluctuation degree of the inertia constant when the servo motor works under different torque disturbance frequencies;
3. according to the invention, the dead zone setting module can be used for setting and analyzing the dead zone for the new energy station, and the inertia response time differences of different dead zone setting values are analyzed through the station inertia constants working under different dead zone setting values, so that the most suitable dead zone setting value of the servo motor of the new energy station is obtained, and the stability of the inertia constants is further ensured.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of an overall system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the system for detecting the inertia response of the new energy station includes a detection platform, and the detection platform is in communication connection with an inertia analysis module, a stability monitoring module, a factor analysis module, a dead zone setting module, and a storage module.
The inertia analysis module is used for carrying out inertia response monitoring analysis on the new energy station: acquiring the total rated power generation capacity Ssys and the generalized kinetic energy Esys of the system of the new energy station, wherein the total rated power generation capacity Ssys is the sum of the rated power generation capacities of the conventional power supply and the new energy unit; the system generalized kinetic energy Esys is the sum of the energy forms of synchronous motor energy, asynchronous motor energy, voltage source type virtual inertia, current source type virtual inertia and static load voltage equivalent inertia, the generalized inertia of the power system is defined as the resistance degree to the change of the system state (frequency), and covers all factors for inhibiting the frequency change before the action of the speed regulating system, including the inertia of a power supply side synchronous machine with inertia response characteristics, the inertia of a load side asynchronous machine and the voltage source type virtual inertia, and simultaneously covers the equivalent inertia generated by static load voltage-power response. Obtaining an inertia constant Hsys of the new energy station through a formula Hsys = Esys/Ssys, obtaining inertia thresholds Hmin and Hmax through a storage module, and comparing the inertia constant Hsys of the new energy station with the inertia thresholds Hmin and Hmax: if Hsys is not less than Hmin and not more than Hmax, judging that the inertial response of the new energy station meets the requirement, and sending a response qualified signal to the detection platform by the inertial analysis module; otherwise, judging that the inertial response of the new energy station does not meet the requirement, sending a response unqualified signal to the detection platform by the inertial analysis module, and sending the response unqualified signal to a mobile phone terminal of a manager after the detection platform receives the response unqualified signal; the inertia constant of the new energy station is fed back in real time, so that the detection precision of the inertia response of the new energy station and the timeliness of data output are improved, and the natural frequency of the system is prevented from being reduced and resonance is avoided due to the fact that the inertia constant is too large.
The magnitude of the load inertia on the servo motor shaft will have a large effect on the sensitivity of the motor and the accuracy of the overall servo system, which is generally not the case when the load is less than the motor rotor inertia. However, the use of such an inertia should be avoided when the load inertia is up to or even more than 5 times the rotor inertia, which would prevent the servo amplifier from operating within the normal regulation range. The volume and weight should be reduced as much as possible when designing the load.
The stability monitoring module is used for monitoring and analyzing the inertia response stability of the new energy station: setting monitoring time, dividing the monitoring time into a plurality of monitoring periods, acquiring the difference value between the maximum value and the minimum value of the torque disturbance frequency of the new energy field station in the monitoring periods and marking the difference value as torque data NP, acquiring the difference value between the maximum value and the minimum value of the inertia constant of the new energy field station in the monitoring periods and marking the difference value as inertia data GC, marking the ratio of the inertia data GC to the torque data NP as a stability coefficient WD of the monitoring periods, acquiring a stability threshold WDmax through a storage module, and comparing the stability coefficient WD of the monitoring periods with the stability threshold WDmax: if the stability coefficient WD is smaller than the stability threshold WDmax, judging that the inertia response stability of the new energy station in the monitoring period meets the requirement, marking the corresponding monitoring period as the stable period, sending the stable period to the detection platform, and sending the stable period to the dead zone setting module after the detection platform receives the stable period; if the stability coefficient WD is larger than or equal to the stability threshold WDmax, judging that the inertia response stability of the new energy station in the monitoring period does not meet the requirement, marking the corresponding monitoring period as a fluctuation period, sending the fluctuation period to a detection platform, and sending the fluctuation period to a factor analysis module after the detection platform receives the fluctuation period; the ratio of the number of the fluctuation time periods to the number of the monitoring time periods is marked as a fluctuation ratio, a fluctuation threshold value is obtained through a storage module, and the fluctuation ratio is compared with the fluctuation threshold value: if the fluctuation ratio is smaller than the fluctuation threshold value, judging that the integral stability of the inertia response of the new energy station meets the requirement, and sending an integral qualified signal to the detection platform by the stability monitoring module; if the fluctuation ratio is larger than or equal to the fluctuation threshold value, judging that the integral stability of the inertia response of the new energy station does not meet the requirement, sending an integral unqualified signal to the detection platform by the stability monitoring module, and sending the integral unqualified signal to a mobile phone terminal of a manager after the detection platform receives the integral unqualified signal; and performing correlation analysis on the torque disturbance frequency and the inertia constant, and monitoring and analyzing the working stability of the new energy station through the fluctuation degree of the inertia constant when the servo motor works under different torque disturbance frequencies.
The factor analysis module is used for monitoring and analyzing factors which are unstable in inertia response of the new energy station in a fluctuation time period: acquiring temperature data WD, humidity data SD and vibration data ZD of a new energy station in a fluctuation period, wherein the temperature data WD is the maximum air temperature of the new energy station in the fluctuation period, the humidity data SD is the maximum air humidity of the new energy station in the fluctuation period, the vibration data ZD is the maximum rigid body vibration frequency of the new energy station in the fluctuation period, and an environment coefficient HJ is obtained through a formula HJ = alpha 1 × WD + alpha 2 × SD + alpha 3 × ZD, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3 and more than 1; acquiring an environment threshold HJmax through a storage module, and comparing the environment coefficient HJ with the environment threshold HJmax: if the environmental coefficient HJ is larger than or equal to the environmental threshold HJmax, judging that the factors with unstable inertia response of the new energy station in the fluctuation time period are environmental abnormalities, and sending an environmental regulation signal to the detection platform by the factor analysis module; if the environmental coefficient HJ is smaller than the environmental threshold HJmax, judging that the factors of unstable inertia response of the new energy station in the fluctuation time period are mechanical abnormalities, and sending a mechanical overhaul signal to the detection platform by the factor analysis module; factors causing unstable inertia response are judged and analyzed, so that management personnel can quickly take countermeasures, and the processing efficiency is improved.
The dead zone setting module is used for performing dead zone setting analysis on the new energy station: obtaining an average value of a maximum value and a minimum value of an inertia constant of the new energy station in a stable period and marking the average value as a stable table value, marking the average value of an inertia threshold value Hmax and Hmin as an inertia standard value, marking an absolute value of a difference value between the stable table value and the inertia standard value as an inertia table value in the stable period, forming an inertia table range by the maximum value and the minimum value of the inertia table values in all the stable periods, dividing the inertia table range into a plurality of inertia table intervals, obtaining a dead zone set value of the new energy station in the stable period of the inertia table range and marking the dead zone set value as a dead zone value; the dead zone setting module is used for sending the dead zone range to the detection platform, and the detection platform is used for sending the dead zone range to a mobile phone terminal of a manager after receiving the dead zone range; dead zone setting analysis is carried out on the new energy station, inertia response time differences of different dead zone setting values are analyzed through station inertia constant values working under different dead zone setting values, and therefore the most suitable dead zone setting value of the servo motor of the new energy station is obtained, and stability of the inertia constant value is further guaranteed.
Example two
Referring to fig. 2, a new energy station inertia response detection method includes the following steps:
the method comprises the following steps: carrying out inertia response monitoring analysis on the new energy station to obtain the total rated power generation capacity Ssys and the generalized system kinetic energy Esys of the new energy station, marking the ratio of the generalized system kinetic energy Esys to the total rated power generation capacity Ssys as an inertia constant Hsys, judging whether the inertia response of the new energy station meets the requirement or not according to the numerical value of the inertia constant Hsys, and avoiding the phenomenon that the natural frequency of the system is reduced and resonance is generated due to overlarge inertia constant;
step two: monitoring and analyzing the inertia response stability of the new energy station, setting monitoring time, dividing the monitoring time into a plurality of monitoring time periods, acquiring a stability coefficient DD of the monitoring time periods, judging whether the inertia response stability of the new energy station meets requirements or not through the stability coefficient DD, and monitoring and analyzing the working stability of the new energy station through the fluctuation degree of an inertia constant when a servo motor works under different torque disturbance frequencies;
step three: monitoring and analyzing factors with unstable inertia response of the new energy station within a fluctuation time period to obtain an environment coefficient, and marking the factors with unstable inertia response of the new energy station as environmental abnormality or mechanical abnormality according to the numerical value of the environment coefficient;
step four: and performing dead zone setting analysis on the new energy station to obtain a dead zone range, and sending the dead zone range to a mobile phone terminal of a manager through a detection platform to obtain an optimum dead zone setting value of the servo motor of the new energy station, so as to ensure the stability of the inertia constant.
According to the method, the device and the system for detecting the inertia response of the new energy station, during work, the inertia response of the new energy station is monitored and analyzed to obtain an inertia constant Hsys, and whether the inertia response of the new energy station meets requirements or not is judged according to the value of the inertia constant Hsys; monitoring and analyzing the inertia response stability of the new energy station, setting monitoring duration, dividing the monitoring duration into a plurality of monitoring periods, acquiring a stability coefficient DD of the monitoring periods, and judging whether the inertia response stability of the new energy station meets the requirement or not through the stability coefficient DD; monitoring and analyzing factors with unstable inertia response of the new energy station within a fluctuation time period to obtain an environment coefficient, and marking the factors with unstable inertia response of the new energy station as environmental abnormality or mechanical abnormality according to the numerical value of the environment coefficient; and performing dead zone setting analysis on the new energy station, obtaining a dead zone range, and sending the dead zone range to a mobile phone terminal of a manager through a detection platform.
The formulas are all calculated by removing dimensions and taking numerical values, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation;
such as the formula: HJ = α 1 × wd + α 2 × sd + α 3 × zd;
collecting multiple groups of sample data and setting corresponding environment coefficients for each group of sample data by a person skilled in the art; substituting the set environmental coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.54, 3.67 and 2.49 respectively;
the size of the coefficient is a specific value obtained by quantizing each parameter, so that the subsequent comparison is facilitated, and regarding the size of the coefficient, the proportional relation between the parameter and the quantized value is not affected.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. The system for detecting the inertia response of the new energy station comprises a detection platform, and is characterized in that the detection platform is in communication connection with an inertia analysis module, a stability monitoring module, a factor analysis module, a dead zone setting module and a storage module;
the inertia analysis module is used for carrying out inertia response monitoring analysis on the new energy station and obtaining an inertia constant Hsys;
the stability monitoring module is used for monitoring and analyzing the inertia response stability of the new energy station to obtain a stability coefficient WD, and judging whether the inertia response stability of the new energy station meets the requirement or not according to the value of the stability coefficient;
the factor analysis module is used for monitoring and analyzing factors with unstable inertia response of the new energy station in a fluctuation time period and marking the factors with unstable inertia response as environmental abnormality or mechanical abnormality;
the dead zone setting module is used for performing dead zone setting analysis on the new energy station, obtaining a dead zone range, and sending the dead zone range to a mobile phone terminal of a manager through the detection platform.
2. The system for detecting the inertia response of the new energy station according to claim 1, wherein the specific process of the inertia response monitoring and analysis performed by the inertia analysis module on the new energy station comprises: acquiring the total rated power generation capacity Ssys and the generalized kinetic energy Esys of the system of the new energy station, wherein the total rated power generation capacity Ssys is the sum of the rated power generation capacities of the conventional power supply and the new energy unit; the system generalized kinetic energy Esys is the sum of the energy forms of synchronous motor energy, asynchronous motor energy, voltage source type virtual inertia, current source type virtual inertia and static load voltage equivalent inertia, an inertia constant Hsys of the new energy station is obtained through a formula Hsys = Esys/Ssys, inertia thresholds Hmin and Hmax are obtained through a storage module, and the inertia constant Hsys of the new energy station is compared with the inertia thresholds Hmin and Hmax: if Hsys is more than or equal to Hmin and less than or equal to Hmax, judging that the inertial response of the new energy station meets the requirement, and sending a response qualified signal to the detection platform by the inertia analysis module; otherwise, judging that the inertial response of the new energy station does not meet the requirements, sending an unqualified response signal to the detection platform by the inertial analysis module, and sending the unqualified response signal to a mobile phone terminal of a manager after the detection platform receives the unqualified response signal.
3. The system for detecting the response of the inertia of the new energy station as claimed in claim 2, wherein the obtaining of the stability factor WD comprises: setting monitoring time, dividing the monitoring time into a plurality of monitoring periods, acquiring the difference value between the maximum value and the minimum value of the torque disturbance frequency of the new energy field station in the monitoring periods and marking the difference value as torque data NP, acquiring the difference value between the maximum value and the minimum value of the inertia constant of the new energy field station in the monitoring periods and marking the difference value as inertia data GC, and marking the ratio of the inertia data GC to the torque data NP as a stability coefficient WD of the monitoring periods.
4. The system for detecting the inertia response of the new energy station as claimed in claim 3, wherein the process of determining whether the inertia response stability of the new energy station meets the requirement comprises: acquiring a stability threshold WDmax through a storage module, and comparing a stability coefficient WD of a monitoring period with the stability threshold WDmax: if the stability coefficient WD is smaller than a stability threshold WDmax, judging that the inertia response stability of the new energy station in the monitoring period meets the requirement, marking the corresponding monitoring period as a stable period, sending the stable period to the detection platform, and sending the stable period to the dead zone setting module after the detection platform receives the stable period; if the stability coefficient WD is larger than or equal to the stability threshold WDmax, judging that the inertia response stability of the new energy station in the monitoring period does not meet the requirement, marking the corresponding monitoring period as a fluctuation period, sending the fluctuation period to a detection platform, and sending the fluctuation period to a factor analysis module after the detection platform receives the fluctuation period; the ratio of the number of the fluctuation time periods to the number of the monitoring time periods is marked as a fluctuation ratio, a fluctuation threshold value is obtained through a storage module, and the fluctuation ratio is compared with the fluctuation threshold value: if the fluctuation ratio is smaller than the fluctuation threshold value, judging that the integral stability of the inertia response of the new energy station meets the requirement, and sending an integral qualified signal to the detection platform by the stability monitoring module; if the fluctuation ratio is larger than or equal to the fluctuation threshold value, the integral stability of the new energy station inertia response is judged to be not met, the stability monitoring module sends an integral unqualified signal to the detection platform, and the detection platform sends the integral unqualified signal to a mobile phone terminal of a manager after receiving the integral unqualified signal.
5. The system for detecting the inertia response of the new energy station as claimed in claim 4, wherein the specific process of monitoring and analyzing the factors of unstable inertia response of the new energy station in the fluctuation time period by the factor analysis module includes: acquiring temperature data WD, humidity data SD and vibration data ZD of a new energy station in a fluctuation time period, wherein the temperature data WD is the maximum air temperature of the new energy station in the fluctuation time period, the humidity data SD is the maximum air humidity of the new energy station in the fluctuation time period, the vibration data ZD is the maximum rigid body vibration frequency of the new energy station in the fluctuation time period, and an environment coefficient HJ is obtained by carrying out numerical calculation on the temperature data WD, the humidity data SD and the vibration data ZD; and obtaining an environment threshold HJmax through a storage module, comparing the environment coefficient HJ with the environment threshold HJmax, and marking the factors with unstable inertia response as environment abnormality or mechanical abnormality according to the comparison result.
6. The system for detecting the inertia response of the new energy station as claimed in claim 5, wherein the comparing of the environmental coefficient HJ with the environmental threshold HJmax comprises: if the environmental coefficient HJ is larger than or equal to the environmental threshold HJmax, judging that the factors with unstable inertia response of the new energy station in the fluctuation time period are environmental abnormalities, and sending an environmental regulation signal to the detection platform by the factor analysis module; and if the environment coefficient HJ is smaller than the environment threshold value HJmax, judging that the factors of unstable inertia response of the new energy station in the fluctuation time period are mechanical abnormity, and sending a mechanical overhaul signal to the detection platform by the factor analysis module.
7. The system for detecting the inertia response of the new energy station as claimed in claim 6, wherein the specific process of the dead zone setting module performing the dead zone setting analysis for the new energy station comprises: obtaining an average value of a maximum value and a minimum value of an inertia constant of the new energy station in a stable period and marking the average value as a stable table value, marking the average value of inertia threshold values Hmax and Hmin as an inertia standard value, marking an absolute value of a difference value between the stable table value and the inertia standard value as an inertia table value in the stable period, forming an inertia table range by the maximum value and the minimum value of the inertia table values in all the stable periods, dividing the inertia table range into a plurality of inertia table intervals, obtaining a dead zone set value of the new energy station in the stable period with the inertia table value in the inertia table intervals and marking the dead zone set value as a dead zone value; the dead zone setting module sends the dead zone range to the detection platform, and the detection platform sends the dead zone range to a mobile phone terminal of a manager after receiving the dead zone range.
8. A new energy station inertia response detection method is characterized by comprising the following steps:
the method comprises the following steps: carrying out inertia response monitoring analysis on the new energy station, acquiring the total rated power generation capacity Ssys and the generalized kinetic energy Esys of the system of the new energy station, marking the ratio of the generalized kinetic energy Esys and the total rated power generation capacity Ssys as an inertia constant Hsys, and judging whether the inertia response of the new energy station meets the requirement or not according to the value of the inertia constant Hsys;
step two: monitoring and analyzing the inertia response stability of the new energy station, setting monitoring time, dividing the monitoring time into a plurality of monitoring time periods, acquiring a stability coefficient DD of the monitoring time periods, and judging whether the inertia response stability of the new energy station meets the requirement or not through the stability coefficient DD;
step three: monitoring and analyzing factors with unstable inertia response of the new energy station within a fluctuation time period to obtain an environment coefficient, and marking the factors with unstable inertia response of the new energy station as environmental abnormality or mechanical abnormality according to the numerical value of the environment coefficient;
step four: and performing dead zone setting analysis for the new energy station, obtaining a dead zone range, and sending the dead zone range to a mobile phone terminal of a manager through a detection platform.
9. A new energy station inertia response detection device is applied to the new energy station inertia response detection system of claim 1.
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