CN114113870B - New energy station power grid adaptability detection method, device and system - Google Patents
New energy station power grid adaptability detection method, device and system Download PDFInfo
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Abstract
The invention discloses a method, a device and a system for detecting the adaptability of a new energy station power grid, belongs to the field of power grid detection, and is used for solving the problem that the adaptability detection is not careful and comprehensive when the existing new energy station is connected into the power grid, so that the power grid or equipment in the new energy station is damaged when the new energy station is connected with the power grid; the detection method comprises the following steps: s1, screening all devices of the new energy station, and carrying out type definition on the devices connected to the power grid in the new energy station; step S2, establishing a power grid adaptability model of the new energy station, wherein the power grid adaptability model is configured with a plurality of power grid adaptive parameter standards; step S3, acquiring adaptive parameters of the new energy station access equipment by taking the power grid adaptive model as a detection standard; and step S4, the acquired adaptive parameters are processed, and the detection comprehensiveness of the new energy station when accessing the power grid can be improved.
Description
Technical Field
The invention belongs to the field of power grid detection, relates to a new energy access power grid technology, and particularly relates to a new energy station power grid adaptability detection method, device and system.
Background
The new energy station is all equipment below a wind power station or a photovoltaic power station grid-connected point which is connected into a power system in a centralized mode, and the equipment comprises a transformer, a bus, a circuit, a converter, an energy storage unit, a wind turbine generator, a photovoltaic power generation system, reactive power regulation equipment, auxiliary equipment and the like. 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, oil, 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 large number of devices are included in a new energy station, and different new energy stations use different conversion devices in the process of energy conversion, energy needs to be concentrated in a transfer mechanism of the new energy station and then the new energy station is connected to a power grid, but in the process of connecting the new energy station to the power grid, the adaptability of some devices in the new energy station to the power grid is insufficient, so that the problem of power grid failure or device damage is caused when the power grid is connected.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method, a device and a system for detecting the adaptability of a new energy station power grid.
The technical problem to be solved by the invention is as follows: the adaptability detection of the existing new energy station when the new energy station is connected to a power grid is not careful and comprehensive enough, so that the problem that the power grid or equipment in the new energy station is damaged when the new energy station is connected with the power grid is caused.
The purpose of the invention can be realized by the following technical scheme: a new energy station power grid adaptability detection method comprises the following steps:
step S1, screening all devices of the new energy station, and carrying out type division on devices which are connected to a power grid in the new energy station, wherein the type division is carried out based on power grid adaptation standards;
step S2, establishing a power grid adaptability model of the new energy station, wherein the power grid adaptability model is configured with a plurality of power grid adaptive parameter standards;
step S3, acquiring adaptive parameters of the new energy station access equipment by taking the power grid adaptive model as a detection standard;
and step S4, processing the acquired adaptability parameters to obtain an adaptability result of the power grid equipment accessed in the new energy station and a comprehensive adaptability result of the new energy station.
Further, the step S1 includes the following sub-steps:
step A1, acquiring the types of all equipment in the new energy station, carrying out primary labeling on each equipment, and sequentially marking the equipment as Sx1 to Sxi, wherein the Sx1 to Sxi respectively represent the first equipment marked in the new energy station to the ith equipment marked in the new energy station, and i represents the number of all the equipment in the new energy station;
step A2, classifying the marked devices into devices accessed to the power grid and devices not accessed to the power grid, adding y to form a secondary label of the device after the label of the device accessed to the power grid, and adding n to form a secondary label of the device after the label of the device not accessed to the power grid;
step A3, classifying the devices accessed to the power grid into a first-level detection device, a second-level detection device and a third-level detection device, wherein the detection priority of the first-level detection device is greater than that of the second-level detection device, the detection priority of the second-level detection device is greater than that of the third-level detection device, performing three-level labeling on the first-level detection device, the second-level detection device and the third-level detection device, and adding G1, G2 and G3 after the second-level labeling of the first-level detection device, the second-level detection device and the third-level detection device.
Further, the step S2 further includes the following sub-steps:
step B1, dividing the power grid adaptability model into a voltage adaptability standard submodel, a frequency adaptability standard submodel, a three-phase unbalance adaptability standard submodel, a flicker adaptability standard submodel and a harmonic voltage adaptability standard submodel, and establishing the power grid adaptability model through the voltage adaptability standard submodel, the frequency adaptability standard submodel, the three-phase unbalance adaptability standard submodel, the flicker adaptability standard submodel and the harmonic voltage adaptability standard submodel;
the method for establishing the voltage adaptability standard submodel comprises the following steps: obtaining a voltage adaptability standard value through a voltage adaptability standard formula, obtaining a voltage adaptability fluctuation value through a voltage adaptability fluctuation formula, obtaining a minimum value of a voltage adaptability range through subtracting the voltage adaptability fluctuation value from the voltage adaptability standard value, obtaining a maximum value of the voltage adaptability range through adding the voltage adaptability fluctuation value to the voltage adaptability standard value, setting a voltage adaptability standard range through the minimum value of the voltage adaptability range and the maximum value of the voltage adaptability range, and obtaining a voltage adaptability sub-model through the voltage adaptability standard range;
the method for establishing the frequency adaptability standard submodel comprises the following steps: obtaining a frequency adaptability standard value through a frequency adaptability standard formula, obtaining a frequency adaptability fluctuation value through a frequency adaptability fluctuation formula, obtaining a minimum value of a frequency adaptability range through subtracting the frequency adaptability fluctuation value from the frequency adaptability standard value, obtaining a maximum value of the frequency adaptability range through adding the frequency adaptability fluctuation value to the frequency adaptability standard value, setting a frequency adaptability standard range through the minimum value of the frequency adaptability range and the maximum value of the frequency adaptability range, and obtaining a frequency adaptability sub-model through the frequency adaptability standard range;
the method for establishing the three-phase imbalance adaptive standard submodel comprises the following steps: obtaining a three-phase imbalance adaptability standard value through a three-phase imbalance adaptability standard formula, obtaining a three-phase imbalance adaptability fluctuation value through a three-phase imbalance adaptability fluctuation formula, obtaining a minimum value of a three-phase imbalance adaptability range through subtracting the three-phase imbalance adaptability fluctuation value from the three-phase imbalance adaptability standard value, obtaining a maximum value of the three-phase imbalance adaptability range through adding the three-phase imbalance adaptability standard value to the three-phase imbalance adaptability fluctuation value, setting a three-phase imbalance adaptability standard range through the minimum value of the three-phase imbalance adaptability range and the maximum value of the three-phase imbalance adaptability range, and obtaining a three-phase imbalance adaptability sub-model through the three-phase imbalance adaptability standard range;
the method for establishing the flicker adaptive standard submodel comprises the following steps: obtaining a flicker adaptability standard value through a flicker adaptability standard formula, obtaining a flicker adaptability fluctuation value through a flicker adaptability fluctuation formula, obtaining the minimum value of a flicker adaptability range through subtracting the flicker adaptability fluctuation value from the flicker adaptability standard value, obtaining the maximum value of the flicker adaptability range through adding the flicker adaptability fluctuation value to the flicker adaptability standard value, setting the flicker adaptability standard range through the minimum value of the flicker adaptability range and the maximum value of the flicker adaptability range, and obtaining a flicker adaptability sub-model through the flicker adaptability standard range;
the method for establishing the harmonic voltage adaptability standard submodel comprises the following steps: the harmonic voltage adaptability standard value is obtained through a harmonic voltage adaptability standard formula, the harmonic voltage adaptability fluctuation value is obtained through a harmonic voltage adaptability fluctuation formula, the harmonic voltage adaptability standard value is subtracted from the harmonic voltage adaptability fluctuation value to obtain the minimum value of a harmonic voltage adaptability range, the harmonic voltage adaptability standard value is added from the harmonic voltage adaptability fluctuation value to obtain the maximum value of the harmonic voltage adaptability range, the harmonic voltage adaptability standard range is set through the minimum value of the harmonic voltage adaptability range and the maximum value of the harmonic voltage adaptability range, and the harmonic voltage adaptability sub-model is obtained through the harmonic voltage adaptability standard range.
Further, the voltage adaptability standard formula is configured to:
(ii) a The voltage adaptive fluctuation formula is configured to:
(ii) a The method comprises the following steps that Pub is a voltage adaptability standard value, u1 is a voltage adaptability standard reference value, WSxiy is the power of equipment connected to a power grid, ku is a voltage adaptability standard conversion value, Bub is a voltage adaptability fluctuation value, and b1 is a correlation coefficient of voltage adaptability and equipment power;
the frequency adaptive standard formula is configured as:
(ii) a The voltage adaptive fluctuation formula is configured to:
(ii) a Phb is a frequency adaptability standard value, h1 is a frequency adaptability standard reference value, kh is a frequency adaptability standard conversion value, Bhb is a frequency adaptability fluctuation value, and b2 is a correlation coefficient of frequency adaptability and equipment power;
the three-phase imbalance adaptive standard formula is configured as follows:
(ii) a The three-phase imbalance adaptive fluctuation formula is configured as follows:
(ii) a Wherein Psxb is a three-phase imbalance adaptability standard value, sx1 is a three-phase imbalance adaptability standard reference value, ksx is a three-phase imbalance adaptability standard conversion value, Bsxb is a three-phase imbalance adaptability fluctuation value, and b3 is a correlation coefficient of the three-phase imbalance adaptability and the equipment power;
the flicker adaptive standard formula is configured to:
(ii) a The flicker adaptive fluctuation formula is configured to:
(ii) a Wherein Ppltb is a flicker adaptability standard value, plt1 is a flicker adaptability standard reference value,kplt is a flicker adaptability standard conversion value, Bpltb is a flicker adaptability fluctuation value, and b4 is a correlation coefficient of flicker adaptability and equipment power;
the harmonic voltage adaptability standard formula is configured as follows:
(ii) a The harmonic voltage adaptive fluctuation formula is configured to:
(ii) a The harmonic voltage adaptability standard value is Pkvb, the harmonic voltage adaptability standard reference value is kv1, the harmonic voltage adaptability standard conversion value is kkv, the harmonic voltage adaptability fluctuation value is Bkvb, and the harmonic voltage adaptability and equipment power correlation coefficient is b 5.
Further, the step S2 further includes the following sub-steps:
step B2, substituting numerical values obtained from the voltage adaptability standard submodel, the frequency adaptability standard submodel, the three-phase unbalance adaptability standard submodel, the flicker adaptability standard submodel and the harmonic voltage adaptability standard submodel into a power grid adaptability comprehensive standard formula to obtain a power grid comprehensive standard value;
substituting the comprehensive power grid standard value into a comprehensive power grid fluctuation formula to obtain a comprehensive power grid fluctuation value, subtracting the comprehensive power grid fluctuation value from the comprehensive power grid standard value to obtain the minimum value of a comprehensive power grid range, adding the comprehensive power grid fluctuation value to the comprehensive power grid standard value to obtain the maximum value of the comprehensive power grid range, setting a comprehensive power grid standard range according to the minimum value of the comprehensive power grid range and the maximum value of the comprehensive power grid range, and obtaining a power grid adaptability model according to the comprehensive power grid standard range.
Further, the grid adaptive comprehensive standard formula is configured as follows:
Further, the step S3 further includes: respectively acquiring a voltage value, a frequency value, a three-phase unbalance value, a flicker value and a harmonic voltage value of the primary detection equipment, the secondary detection equipment and the tertiary detection equipment according to the power grid adaptability model;
the step S4 further includes: independently comparing the acquired voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value of each device with a voltage adaptability standard submodel, a frequency adaptability standard submodel, a three-phase unbalance adaptability standard submodel, a flicker adaptability standard submodel and a harmonic voltage adaptability standard submodel respectively; when the acquired voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value are not in the range of the corresponding submodel, outputting a corresponding non-adaptive alarm signal;
substituting the obtained voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value of each device into a comprehensive comparison formula to obtain a comprehensive comparison value of each device; and comparing the comprehensive comparison value with the power grid adaptability model, and outputting a comprehensive inadaptation alarm signal when the comprehensive comparison value is not in the range of the power grid adaptability model.
Further, the comprehensive alignment formula is configured to:
A new energy station power grid adaptability detection device comprises a detection mechanism, a storage and a processor, wherein the detection mechanism is used for acquiring adaptability data of power grid access of equipment in a new energy station;
the memory stores a computer program for detecting the adaptability of the power grid;
the processor is used for executing a computer program for detecting the power grid adaptability, and the steps of the new energy station power grid adaptability detection method are realized in the execution process.
A new energy station power grid adaptability detection system comprises a communication module, a detection module and a server module, wherein the detection module is used for acquiring adaptability data of power grid access of equipment in a new energy station;
the server module stores a computer program for power grid adaptability detection; the server module is used for executing a computer program for detecting the adaptability of the power grid, and the steps of the method for detecting the adaptability of the power grid of the new energy station are realized in the executing process;
and the communication module is used for sending the detection result of the server module to the maintenance terminal.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the power grid adaptive model of the new energy station is established, the power grid adaptive model is configured with a plurality of power grid adaptive parameter standards, the power grid adaptive model is divided into a voltage adaptive standard submodel, a frequency adaptive standard submodel, a three-phase unbalanced adaptive standard submodel, a flicker adaptive standard submodel and a harmonic voltage adaptive standard submodel, and the power of each device is added into the submodel, so that the targeted detection of each device is ensured, and the detection precision is improved.
2. According to the invention, the comprehensive detection can be carried out on the equipment in the new energy station by comprehensively processing the five sub-models to establish the comprehensive power grid adaptability model, so that the comprehensiveness of the detection is improved.
Drawings
In order 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 flow chart of a method of the present invention in one embodiment;
FIG. 2 is a schematic block diagram of a detecting device according to the second embodiment of the present invention;
fig. 3 is a schematic block diagram illustrating a connection between a module of the detection system and a user terminal according to the third embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
In a first embodiment, please refer to fig. 1, a method for detecting grid adaptability of a new energy station includes the following steps:
step S1, screening all devices of the new energy station, and carrying out type division on devices which are connected to a power grid in the new energy station, wherein the type division is carried out based on power grid adaptation standards; through marking the equipment in the new energy station, the subsequent equipment priority detection and division can be facilitated.
The step S1 includes the following sub-steps:
step A1, acquiring the types of all equipment in the new energy station, carrying out primary labeling on each equipment, and sequentially marking the equipment as Sx1 to Sxi, wherein the Sx1 to Sxi respectively represent the first equipment marked in the new energy station to the ith equipment marked in the new energy station, and i represents the number of all the equipment in the new energy station;
step A2, classifying the marked devices into devices accessed to the power grid and devices not accessed to the power grid, adding y to form a secondary label of the device after the label of the device accessed to the power grid, and adding n to form a secondary label of the device after the label of the device not accessed to the power grid;
step A3, classifying the devices accessed to the power grid into a first-level detection device, a second-level detection device and a third-level detection device, wherein the detection priority of the first-level detection device is greater than that of the second-level detection device, the detection priority of the second-level detection device is greater than that of the third-level detection device, performing three-level labeling on the first-level detection device, the second-level detection device and the third-level detection device, and adding G1, G2 and G3 after the second-level labeling of the first-level detection device, the second-level detection device and the third-level detection device.
When the new energy station is connected to the power grid, the detection priorities of different devices are different, so that maintenance personnel can perform priority maintenance on the devices of different levels after the devices are divided.
Step S2, establishing a power grid adaptability model of the new energy station, wherein the power grid adaptability model is configured with a plurality of power grid adaptive parameter standards;
the step S2 further includes the following sub-steps:
step B1, dividing the power grid adaptability model into a voltage adaptability standard submodel, a frequency adaptability standard submodel, a three-phase unbalance adaptability standard submodel, a flicker adaptability standard submodel and a harmonic voltage adaptability standard submodel, and establishing the power grid adaptability model through the voltage adaptability standard submodel, the frequency adaptability standard submodel, the three-phase unbalance adaptability standard submodel, the flicker adaptability standard submodel and the harmonic voltage adaptability standard submodel; when the adaptability of the power grid is detected, the detection of the five parameters of the adaptability of the power grid, the adaptability of frequency, the adaptability of three-phase imbalance, the adaptability of flicker and the adaptability of harmonic voltage is the most important, and after the five parameter standards reach the standard, the problem basically does not exist in the process of accessing equipment in a new energy station into the power grid.
Establishing method of voltage adaptability standard submodelThe method comprises the following steps: obtaining a voltage adaptability standard value through a voltage adaptability standard formula, obtaining a voltage adaptability fluctuation value through a voltage adaptability fluctuation formula, obtaining a minimum value of a voltage adaptability range through subtracting the voltage adaptability fluctuation value from the voltage adaptability standard value, obtaining a maximum value of the voltage adaptability range through adding the voltage adaptability fluctuation value to the voltage adaptability standard value, setting a voltage adaptability standard range through the minimum value of the voltage adaptability range and the maximum value of the voltage adaptability range, and obtaining a voltage adaptability sub-model through the voltage adaptability standard range; the voltage adaptability standard formula is configured as follows:
(ii) a The voltage adaptive fluctuation formula is configured to:
(ii) a The method comprises the following steps that Pub is a voltage adaptability standard value, u1 is a voltage adaptability standard reference value, the voltage adaptability standard reference value is set by adopting a basic standard value of power grid access, WSxiy is the power of equipment accessed to the power grid, ku is a voltage adaptability standard conversion value, Bub is a voltage adaptability fluctuation value, and b1 is a correlation coefficient of the voltage adaptability and the equipment power; by adding the power of the equipment connected to the power grid, the pertinence of each equipment in the process of detecting the voltage adaptability can be improved.
The method for establishing the frequency adaptability standard submodel comprises the following steps: obtaining a frequency adaptability standard value through a frequency adaptability standard formula, obtaining a frequency adaptability fluctuation value through a frequency adaptability fluctuation formula, obtaining a minimum value of a frequency adaptability range through subtracting the frequency adaptability fluctuation value from the frequency adaptability standard value, obtaining a maximum value of the frequency adaptability range through adding the frequency adaptability fluctuation value to the frequency adaptability standard value, setting a frequency adaptability standard range through the minimum value of the frequency adaptability range and the maximum value of the frequency adaptability range, and obtaining a frequency adaptability sub-model through the frequency adaptability standard range; the frequency adaptive standard formula is configured as:
(ii) a The voltage adaptive fluctuation formula is configured to:
(ii) a Phb is a frequency adaptability standard value, h1 is a frequency adaptability standard reference value, wherein the frequency adaptability standard value is set by adopting a basic frequency standard in the existing power grid, kh is a frequency adaptability standard conversion value, Bhb is a frequency adaptability fluctuation value, and b2 is a correlation coefficient between frequency adaptability and equipment power; by adding the power of the equipment connected to the power grid, the pertinence of each piece of equipment in the process of detecting the frequency adaptability can be improved.
The method for establishing the three-phase imbalance adaptive standard submodel comprises the following steps: obtaining a three-phase imbalance adaptability standard value through a three-phase imbalance adaptability standard formula, obtaining a three-phase imbalance adaptability fluctuation value through a three-phase imbalance adaptability fluctuation formula, obtaining a minimum value of a three-phase imbalance adaptability range through subtracting the three-phase imbalance adaptability fluctuation value from the three-phase imbalance adaptability standard value, obtaining a maximum value of the three-phase imbalance adaptability range through adding the three-phase imbalance adaptability standard value to the three-phase imbalance adaptability fluctuation value, setting a three-phase imbalance adaptability standard range through the minimum value of the three-phase imbalance adaptability range and the maximum value of the three-phase imbalance adaptability range, and obtaining a three-phase imbalance adaptability sub-model through the three-phase imbalance adaptability standard range; the three-phase imbalance adaptive standard formula is configured as follows:
(ii) a The three-phase imbalance adaptive fluctuation formula is configured as follows:
(ii) a Wherein Psxb is a three-phase imbalance adaptability standard value, wherein the three-phase imbalance adaptability standard value is set by referring to a three-phase imbalance standard in the existing power grid system, sx1 is a three-phase imbalance adaptability standard reference value, ksx is a three-phase imbalance adaptive standard valueThe standard conversion value of the balance adaptability, Bsxb is a three-phase unbalance adaptability fluctuation value, and b3 is a correlation coefficient of the three-phase unbalance adaptability and the equipment power; by adding the power of the equipment connected to the power grid, the pertinence of each equipment in the process of detecting the three-phase imbalance adaptability can be improved.
The method for establishing the flicker adaptive standard submodel comprises the following steps: obtaining a flicker adaptability standard value through a flicker adaptability standard formula, obtaining a flicker adaptability fluctuation value through a flicker adaptability fluctuation formula, obtaining the minimum value of a flicker adaptability range through subtracting the flicker adaptability fluctuation value from the flicker adaptability standard value, obtaining the maximum value of the flicker adaptability range through adding the flicker adaptability fluctuation value to the flicker adaptability standard value, setting the flicker adaptability standard range through the minimum value of the flicker adaptability range and the maximum value of the flicker adaptability range, and obtaining a flicker adaptability sub-model through the flicker adaptability standard range; the flicker adaptive standard formula is configured to:
(ii) a The flicker adaptive fluctuation formula is configured to:
(ii) a The method comprises the following steps that Ppltb is a flicker adaptability standard value, wherein the flicker adaptability standard value is set by referring to a flicker standard in the existing power grid system, plt1 is a flicker adaptability standard reference value, kplt is a flicker adaptability standard conversion value, Bpltb is a flicker adaptability fluctuation value, and b4 is a correlation coefficient of flicker adaptability and equipment power; by adding the power of the equipment connected to the power grid, the pertinence of each equipment in the flicker adaptability detection process can be improved.
The method for establishing the harmonic voltage adaptability standard submodel comprises the following steps: obtaining a harmonic voltage adaptability standard value through a harmonic voltage adaptability standard formula, obtaining a harmonic voltage adaptability fluctuation value through a harmonic voltage adaptability fluctuation formula, obtaining a minimum value of a harmonic voltage adaptability range through subtracting the harmonic voltage adaptability fluctuation value from the harmonic voltage adaptability standard value, and obtaining a harmonic voltage adaptability standard value through a harmonic voltage adaptability standard formulaThe harmonic voltage adaptability standard value and the harmonic voltage adaptability fluctuation value are added to obtain the maximum value of the harmonic voltage adaptability range, the harmonic voltage adaptability standard range is set according to the minimum value of the harmonic voltage adaptability range and the maximum value of the harmonic voltage adaptability range, and the harmonic voltage adaptability sub-model is obtained according to the harmonic voltage adaptability standard range; the harmonic voltage adaptability standard formula is configured as follows:
(ii) a The harmonic voltage adaptive fluctuation formula is configured to:
(ii) a The harmonic voltage adaptability standard value is set by referring to a harmonic voltage standard in an existing power grid system, kv1 is a harmonic voltage adaptability standard reference value, kkv is a harmonic voltage adaptability standard conversion value, Bkvb is a harmonic voltage adaptability fluctuation value, and b5 is a correlation coefficient between the harmonic voltage adaptability and equipment power. By adding the power of the equipment connected to the power grid, the pertinence of each equipment in the process of detecting the harmonic voltage adaptability can be improved.
The step S2 further includes the following sub-steps:
step B2, substituting numerical values obtained from the voltage adaptability standard submodel, the frequency adaptability standard submodel, the three-phase unbalance adaptability standard submodel, the flicker adaptability standard submodel and the harmonic voltage adaptability standard submodel into a power grid adaptability comprehensive standard formula to obtain a power grid comprehensive standard value;
substituting the comprehensive power grid standard value into a comprehensive power grid fluctuation formula to obtain a comprehensive power grid fluctuation value, subtracting the comprehensive power grid fluctuation value from the comprehensive power grid standard value to obtain the minimum value of a comprehensive power grid range, adding the comprehensive power grid fluctuation value to the comprehensive power grid standard value to obtain the maximum value of the comprehensive power grid range, setting a comprehensive power grid standard range according to the minimum value of the comprehensive power grid range and the maximum value of the comprehensive power grid range, and obtaining a power grid adaptability model according to the comprehensive power grid standard range.
The power grid adaptive comprehensive standard formula is configured as follows:
Step S3, acquiring adaptive parameters of the new energy station access equipment by taking the power grid adaptive model as a detection standard; the step S3 further includes: respectively acquiring a voltage value, a frequency value, a three-phase unbalance value, a flicker value and a harmonic voltage value of the primary detection equipment, the secondary detection equipment and the tertiary detection equipment according to the power grid adaptability model;
step S4, processing the acquired adaptability parameters to obtain an adaptability result of the power grid equipment accessed in the new energy station and a comprehensive adaptability result of the new energy station; the step S4 further includes: independently comparing the acquired voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value of each device with a voltage adaptability standard submodel, a frequency adaptability standard submodel, a three-phase unbalance adaptability standard submodel, a flicker adaptability standard submodel and a harmonic voltage adaptability standard submodel respectively; when the acquired voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value are not in the range of the corresponding submodel, outputting a corresponding non-adaptive alarm signal;
substituting the obtained voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value of each device into a comprehensive comparison formula to obtain a comprehensive comparison value of each device; comparing the comprehensive comparison value with the power grid adaptability model, and outputting a comprehensive inadaptation alarm signal when the comprehensive comparison value is not in the range of the power grid adaptability model;
the comprehensive comparison formula is configured as follows:
In a second embodiment, please refer to fig. 2, a new energy station power grid adaptability detecting apparatus includes a detecting mechanism, a memory and a processor, wherein the detecting mechanism is configured to obtain adaptability data of power grid access of devices in a new energy station;
the memory stores a computer program for detecting the adaptability of the power grid;
the processor is used for executing a computer program for detecting the power grid adaptability, and the steps of the new energy station power grid adaptability detection method are realized in the execution process.
In a third embodiment, please refer to fig. 3, a system for detecting grid adaptability of a new energy station includes a communication module, a detection module and a server module, where the detection module is configured to obtain adaptive data of grid access of a device in the new energy station; the detection module is a data acquisition end of the detection system.
The server module stores a computer program for power grid adaptability detection; the server module is used for executing a computer program for detecting the adaptability of the power grid, and the steps of the method for detecting the adaptability of the power grid of the new energy station are realized in the executing process;
and the communication module is used for sending the detection result of the server module to the maintenance terminal.
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 forms 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 (8)
1. The method for detecting the adaptability of the new energy station power grid is characterized by comprising the following steps:
step S1, screening all devices of the new energy station, and carrying out type division on devices which are connected to a power grid in the new energy station, wherein the type division is carried out based on power grid adaptation standards;
step S2, establishing a power grid adaptability model of the new energy station, wherein the power grid adaptability model is configured with a plurality of power grid adaptive parameter standards;
the step S2 further includes the following sub-steps:
step B1, dividing the power grid adaptability model into a voltage adaptability standard submodel, a frequency adaptability standard submodel, a three-phase unbalance adaptability standard submodel, a flicker adaptability standard submodel and a harmonic voltage adaptability standard submodel, and establishing the power grid adaptability model through the voltage adaptability standard submodel, the frequency adaptability standard submodel, the three-phase unbalance adaptability standard submodel, the flicker adaptability standard submodel and the harmonic voltage adaptability standard submodel;
the method for establishing the voltage adaptability standard submodel comprises the following steps: obtaining a voltage adaptability standard value through a voltage adaptability standard formula, obtaining a voltage adaptability fluctuation value through a voltage adaptability fluctuation formula, obtaining a minimum value of a voltage adaptability range through subtracting the voltage adaptability fluctuation value from the voltage adaptability standard value, obtaining a maximum value of the voltage adaptability range through adding the voltage adaptability fluctuation value to the voltage adaptability standard value, setting a voltage adaptability standard range through the minimum value of the voltage adaptability range and the maximum value of the voltage adaptability range, and obtaining a voltage adaptability sub-model through the voltage adaptability standard range;
the method for establishing the frequency adaptability standard submodel comprises the following steps: obtaining a frequency adaptability standard value through a frequency adaptability standard formula, obtaining a frequency adaptability fluctuation value through a frequency adaptability fluctuation formula, obtaining a minimum value of a frequency adaptability range through subtracting the frequency adaptability fluctuation value from the frequency adaptability standard value, obtaining a maximum value of the frequency adaptability range through adding the frequency adaptability fluctuation value to the frequency adaptability standard value, setting a frequency adaptability standard range through the minimum value of the frequency adaptability range and the maximum value of the frequency adaptability range, and obtaining a frequency adaptability sub-model through the frequency adaptability standard range;
the method for establishing the three-phase imbalance adaptive standard submodel comprises the following steps: obtaining a three-phase imbalance adaptability standard value through a three-phase imbalance adaptability standard formula, obtaining a three-phase imbalance adaptability fluctuation value through a three-phase imbalance adaptability fluctuation formula, obtaining a minimum value of a three-phase imbalance adaptability range through subtracting the three-phase imbalance adaptability fluctuation value from the three-phase imbalance adaptability standard value, obtaining a maximum value of the three-phase imbalance adaptability range through adding the three-phase imbalance adaptability standard value to the three-phase imbalance adaptability fluctuation value, setting a three-phase imbalance adaptability standard range through the minimum value of the three-phase imbalance adaptability range and the maximum value of the three-phase imbalance adaptability range, and obtaining a three-phase imbalance adaptability sub-model through the three-phase imbalance adaptability standard range;
the method for establishing the flicker adaptive standard submodel comprises the following steps: obtaining a flicker adaptability standard value through a flicker adaptability standard formula, obtaining a flicker adaptability fluctuation value through a flicker adaptability fluctuation formula, obtaining the minimum value of a flicker adaptability range through subtracting the flicker adaptability fluctuation value from the flicker adaptability standard value, obtaining the maximum value of the flicker adaptability range through adding the flicker adaptability fluctuation value to the flicker adaptability standard value, setting the flicker adaptability standard range through the minimum value of the flicker adaptability range and the maximum value of the flicker adaptability range, and obtaining a flicker adaptability sub-model through the flicker adaptability standard range;
the method for establishing the harmonic voltage adaptability standard submodel comprises the following steps: obtaining a harmonic voltage adaptability standard value through a harmonic voltage adaptability standard formula, obtaining a harmonic voltage adaptability fluctuation value through a harmonic voltage adaptability fluctuation formula, obtaining a minimum value of a harmonic voltage adaptability range through subtracting the harmonic voltage adaptability fluctuation value from the harmonic voltage adaptability standard value, obtaining a maximum value of the harmonic voltage adaptability range through adding the harmonic voltage adaptability standard value to the harmonic voltage adaptability fluctuation value, setting a harmonic voltage adaptability standard range through the minimum value of the harmonic voltage adaptability range and the maximum value of the harmonic voltage adaptability range, and obtaining a harmonic voltage adaptability sub-model through the harmonic voltage adaptability standard range;
the voltage adaptability standard formula is configured as follows:
(ii) a The voltage adaptive fluctuation formula is configured to:
(ii) a The method comprises the following steps that Pub is a voltage adaptability standard value, u1 is a voltage adaptability standard reference value, WSxiy is the power of equipment connected to a power grid, ku is a voltage adaptability standard conversion value, Bub is a voltage adaptability fluctuation value, and b1 is a correlation coefficient of voltage adaptability and equipment power;
the frequency adaptive standard formula is configured as:
(ii) a The voltage adaptive fluctuation formula is configured to:
(ii) a Phb is a frequency adaptability standard value, h1 is a frequency adaptability standard reference value, kh is a frequency adaptability standard conversion value, Bhb is a frequency adaptability fluctuation value, and b2 is a correlation coefficient of frequency adaptability and equipment power;
the three-phase imbalance adaptive standard formula is configured as follows:
(ii) a The three-phase imbalance adaptive fluctuation formula is configured as follows:
(ii) a Wherein Psxb is a three-phase imbalance adaptability standard value, sx1 is a three-phase imbalance adaptability standard reference value, ksx is a three-phase imbalance adaptability standard conversion value, Bsxb is a three-phase imbalance adaptability fluctuation value, and b3 is a correlation coefficient of the three-phase imbalance adaptability and the equipment power;
the flicker adaptive standard formula is configured to:
(ii) a The flicker adaptive fluctuation formula is configured to:
(ii) a Wherein, Ppltb is a flicker adaptability standard value, plt1 is a flicker adaptability standard reference value, kplt is a flicker adaptability standard conversion value, Bpltb is a flicker adaptability fluctuation value, and b4 is a correlation coefficient of flicker adaptability and equipment power;
the harmonic voltage adaptability standard formula is configured as follows:
(ii) a The harmonic voltage adaptive fluctuation formula is configured to:
(ii) a The harmonic voltage adaptive standard value is Pkvb, the harmonic voltage adaptive standard reference value is kv1, the harmonic voltage adaptive standard conversion value is kkv, the harmonic voltage adaptive fluctuation value is Bkvb, and the harmonic voltage adaptive standard conversion value is b5, wherein the harmonic voltage adaptive standard value is a harmonic voltage adaptive standard conversion value and the harmonic voltage adaptive fluctuation value is a correlation coefficient of the harmonic voltage adaptive standard and the equipment power;
step S3, acquiring adaptive parameters of the new energy station access equipment by taking the power grid adaptive model as a detection standard;
and step S4, processing the acquired adaptability parameters to obtain an adaptability result of the power grid equipment accessed in the new energy station and a comprehensive adaptability result of the new energy station.
2. The method for detecting the adaptability of the new energy station to the power grid as claimed in claim 1, wherein the step S1 includes the following sub-steps:
step A1, acquiring the types of all equipment in the new energy station, carrying out primary labeling on each equipment, and sequentially marking the equipment as Sx1 to Sxi, wherein the Sx1 to Sxi respectively represent the first equipment marked in the new energy station to the ith equipment marked in the new energy station, and i represents the number of all the equipment in the new energy station;
step A2, classifying the marked devices into devices accessed to the power grid and devices not accessed to the power grid, adding y to form a secondary label of the device after the label of the device accessed to the power grid, and adding n to form a secondary label of the device after the label of the device not accessed to the power grid;
step A3, classifying the devices accessed to the power grid into a first-level detection device, a second-level detection device and a third-level detection device, wherein the detection priority of the first-level detection device is greater than that of the second-level detection device, the detection priority of the second-level detection device is greater than that of the third-level detection device, performing three-level labeling on the first-level detection device, the second-level detection device and the third-level detection device, and adding G1, G2 and G3 after the second-level labeling of the first-level detection device, the second-level detection device and the third-level detection device.
3. The method for detecting the adaptability of the new energy station to the power grid as claimed in claim 2, wherein the step S2 further includes the following sub-steps:
step B2, substituting numerical values obtained from the voltage adaptability standard submodel, the frequency adaptability standard submodel, the three-phase unbalance adaptability standard submodel, the flicker adaptability standard submodel and the harmonic voltage adaptability standard submodel into a power grid adaptability comprehensive standard formula to obtain a power grid comprehensive standard value;
substituting the comprehensive power grid standard value into a comprehensive power grid fluctuation formula to obtain a comprehensive power grid fluctuation value, subtracting the comprehensive power grid fluctuation value from the comprehensive power grid standard value to obtain the minimum value of a comprehensive power grid range, adding the comprehensive power grid fluctuation value to the comprehensive power grid standard value to obtain the maximum value of the comprehensive power grid range, setting a comprehensive power grid standard range according to the minimum value of the comprehensive power grid range and the maximum value of the comprehensive power grid range, and obtaining a power grid adaptability model according to the comprehensive power grid standard range.
4. The method according to claim 3, wherein the grid adaptability comprehensive standard formula is configured as follows:
5. The method for detecting adaptability to the new energy station grid as claimed in claim 4, wherein the step S3 further includes: respectively acquiring a voltage value, a frequency value, a three-phase unbalance value, a flicker value and a harmonic voltage value of the primary detection equipment, the secondary detection equipment and the tertiary detection equipment according to the power grid adaptability model;
the step S4 further includes: independently comparing the acquired voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value of each device with a voltage adaptability standard submodel, a frequency adaptability standard submodel, a three-phase unbalance adaptability standard submodel, a flicker adaptability standard submodel and a harmonic voltage adaptability standard submodel respectively; when the acquired voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value are not in the range of the corresponding submodel, outputting a corresponding non-adaptive alarm signal;
substituting the obtained voltage value, frequency value, three-phase unbalance value, flicker value and harmonic voltage value of each device into a comprehensive comparison formula to obtain a comprehensive comparison value of each device; and comparing the comprehensive comparison value with the power grid adaptability model, and outputting a comprehensive inadaptation alarm signal when the comprehensive comparison value is not in the range of the power grid adaptability model.
6. The method according to claim 5, wherein the comprehensive comparison formula is configured to:
7. The device for detecting the power grid adaptability of the new energy station is characterized by comprising a detection mechanism, a storage and a processor, wherein the detection mechanism is used for acquiring adaptive data of power grid access of equipment in the new energy station;
the memory stores a computer program for detecting the adaptability of the power grid;
the processor is used for executing a computer program for detecting the power grid adaptability, and in the execution process, the steps of the new energy station power grid adaptability detection method of any one of claims 1-6 are realized.
8. The system for detecting the power grid adaptability of the new energy station is characterized by comprising a communication module, a detection module and a server module, wherein the detection module is used for acquiring the adaptability data of power grid access of equipment in the new energy station;
the server module stores a computer program for power grid adaptability detection; the server module is used for executing a computer program for detecting the power grid adaptability, and the steps of the new energy station power grid adaptability detection method of any one of claims 1-6 are realized in the execution process;
and the communication module is used for sending the detection result of the server module to the maintenance terminal.
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