CN117973948A - Power quality analysis system based on digital transformer substation - Google Patents
Power quality analysis system based on digital transformer substation Download PDFInfo
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Abstract
The invention discloses a digital substation-based power quality analysis system, which relates to the technical field of substations and comprises a data acquisition unit, a preprocessing unit, an analysis unit, an optimization unit, an alarm unit and a feedback unit, wherein the nonlinear load characteristic is introduced to realize more comprehensive monitoring and adjustment of power quality, the system is more comprehensive in the aspect of linear and nonlinear load processing, the adaptability and the robustness of the system are improved, compared with the traditional method, the system can respond to abnormal power quality more quickly, the intelligent level of power station operation is improved through a digital monitoring and adjustment means, the initiative and pertinence of power station on power quality management are enhanced, and management staff can purposefully formulate an optimization scheme according to the current grade of the power station, and the practicability and the practical operability of optimization suggestions are improved.
Description
Technical Field
The invention relates to the technical field of substations, in particular to a digital substation-based power quality analysis system.
Background
The substation power quality analysis system is an advanced system for monitoring, analyzing and managing the power quality in a power system, and helps power operators, engineers and maintenance personnel to better know the power quality by monitoring and analyzing various parameters of the power system in real time, and timely take measures to ensure the stable and reliable operation of the system.
However, the conventional power quality management method has a certain limitation in the process of handling the abnormal situation, the response speed is relatively slow, and meanwhile, most of the existing systems are used for adjusting and optimizing the power quality of the power station based on the linear load value, and the interference of the nonlinear load on the power quality is ignored, so that the system lacks initiative and pertinence in actual operation, and is difficult to quickly make decisions and take corresponding actions.
Disclosure of Invention
(One) solving the technical problems
Aiming at the defects of the prior art, the invention provides a digital substation-based power quality analysis system, which solves the problems of relatively slow response speed and neglecting interference of nonlinear load on power quality in the background art.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the system comprises a data acquisition unit, a preprocessing unit, an analysis unit, an optimization unit, an alarm unit and a feedback unit;
The data acquisition unit is used for acquiring multi-source data of the power station electric energy so as to generate a power station linear load data set and a power station nonlinear load data set, and inputting the power station linear load data set and the power station nonlinear load data set into the preprocessing unit;
The preprocessing unit preprocesses the power station linear load data set and the power station nonlinear load data set which are input by the data acquisition unit, and inputs the processed power station linear load data set and the power station nonlinear load data set into the analysis unit;
The analysis unit is used for carrying out integrated calculation on the linear load data set of the power station and the nonlinear load data set of the power station so as to obtain a linear load reference value XFckz and a nonlinear load reference value FFckz, carrying out secondary integrated calculation on the linear load reference value XFckz and the nonlinear load reference value FFckz so as to obtain an optimized reference value Yckz, and inputting the optimized reference value Yckz obtained by calculation into the optimization unit;
The optimizing unit is used for comparing the optimizing reference value Yckz with a preset first threshold Y so as to generate a first comparison result, judging whether the electric energy quality of the power station is qualified according to the first comparison result, if the first comparison result is that the electric energy quality is qualified, not adjusting a power station system, if the first comparison result is that the electric energy quality is not qualified, integrating the optimizing reference value Yckz with the preset first threshold Y so as to obtain a classification magnitude value Fljz, comparing the classification magnitude value Fljz with a second threshold R so as to generate a second comparison result, classifying the electric energy quality of the power station, and inputting the second comparison result into the alarm unit;
The alarm unit matches the input second comparison result with a preset adjustment scheme, so that the power station system is subjected to intervention adjustment, an alarm is generated and sent to a power station manager, and meanwhile, the alarm unit also inputs the alarm into the feedback unit for backup;
The feedback unit files and sorts the alarms input by the alarm unit, and makes different marks according to the alarm level so as to be convenient for calling and consulting.
Preferably, the data acquisition unit comprises a linear data acquisition module and a nonlinear data acquisition module, wherein the linear data acquisition module is used for acquiring linear data of the power station, and the nonlinear data acquisition module is used for acquiring nonlinear data of the power station;
The linear data acquisition module comprises a current digital signal receiver, a voltage digital signal receiver and a power digital signal receiver, wherein the current digital signal receiver is used for detecting the current of a power station so as to generate a current value Dlz, the voltage digital signal receiver is used for detecting the voltage of the power station so as to generate a voltage value Dyz, and the power digital signal receiver is used for detecting the power of the power station so as to generate an electric power value Dgz;
The nonlinear data acquisition module comprises an electric energy quality analyzer and a digital oscilloscope, wherein the electric energy quality analyzer is used for analyzing the electric energy quality of a power station to generate harmonic content Bhyl and waveform distortion factors Bjbz, and the digital oscilloscope is used for analyzing the electric energy quality of the power station to generate current waveform factors Bbxz.
Preferably, the preprocessing unit includes a cleaning module and a classification module, where the cleaning module is configured to perform data cleaning on the current value Dlz, the voltage value Dyz, the electric power value Dgz, the harmonic content Bhyl, the waveform distortion factor Bjbz and the current waveform factor Bbxz, remove abnormal values, and input the processed current value Dlz, the voltage value Dyz, the electric power value Dgz, the harmonic content Bhyl, the waveform distortion factor Bjbz and the current waveform factor Bbxz into the classification module to be rearranged into a power station linear load data set and a power station nonlinear load data set;
The plant linear load data set comprises: current value Dlz, voltage value Dyz, and current value Dgz;
The power plant nonlinear load data set comprises: harmonic content Bhyl, waveform distortion factor Bjbz, and current waveform factor Bbxz.
Preferably, the specific calculation formulas of the linear load reference value XFckz and the nonlinear load reference value FFckz are as follows:
；
；
Wherein: dlz is a current value, dyz is a voltage value, dgz is an electric power value, bhyl is a harmonic content, bjbz is a waveform distortion factor, 38362 is a current waveform factor, a1, a2, a3, B1, B2 and B3 are weight values, and a1 not equal to a2 not equal to a3 not equal to 0, b1 not equal to b2 not equal to b3 not equal to 0, A and B are a first correction constant and a second correction constant respectively, and specific values of a1, a2, a3, B1, B2, B3, A and B are adjusted and set by a user.
Preferably, the specific calculation formula of the optimization reference value Yckz is as follows:
；
wherein: XFckz is a linear load reference value, FFckz is a nonlinear load reference value, C1 and C2 are weight values, c1+.c2+.0, cos (x) is a first power factor, cos (v) is a second power factor, C is a third correction constant, and values of C1, C2, cos (x), cos (v) and C are set by user adjustment.
Preferably, the optimizing unit comprises a first comparing module and a second comparing module, wherein the first comparing module is used for generating a first comparing result, and the second comparing module is used for generating a second comparing result;
The first comparison result is: when (when) When the current power station is qualified, the power quality of the current power station is not required to be adjusted, whenWhen the current power station is unqualified in power quality, the optimization adjustment is needed;
Wherein Yckz is an optimization reference value, and Y is a first threshold value;
The second comparison result is: when (when) When the current power station power quality is in a first level to be optimized;
When (when) When the current power station power quality is in the second level to be optimized;
When (when) When the current power station power quality is in a third level to be optimized;
wherein Fljz is a classification magnitude, and R is a second threshold;
the calculation formula of the classification magnitude Fljz is as follows:
；
wherein: yckz is an optimization reference value, and Y is a first threshold value.
Preferably, the alarm unit includes a storage module, a matching module and an execution module, the storage module is used for storing an adjustment scheme, the matching module is used for adapting the adjustment scheme stored in the storage module to the second comparison result, and the execution module is used for executing the specifically adapted adjustment scheme;
the adjustment scheme stored in the storage module is as follows:
When the second comparison result shows that the first grade to be optimized is displayed, the power station capacitor is adjusted to enable the current value Dlz% to be improved, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 3%, the fundamental harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 3%, and the load isolation equipment is adjusted to enable the waveform distortion factor Bjbz to be reduced by 8%;
When the second comparison result shows that the second grade to be optimized, the power station capacitor is adjusted to enable the current value Dlz to be improved by 5 to 8 percent, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 3 to 6 percent, the basic harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 3 to 9 percent, and the load isolation equipment is adjusted to enable the waveform distortion factor Bjbz to be reduced by 8 to 12 percent;
When the second comparison result shows that the third grade to be optimized is obtained, the power station capacitor is adjusted to enable the current value Dlz to be improved by 8% -12%, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 6% -10%, the basic harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 9% -11%, the load isolation equipment is adjusted to enable the waveform distortion factor Bbxz to be reduced by 12% -15%, and meanwhile comprehensive investigation, overhaul and maintenance are conducted on the power management system.
Preferably, the execution module further generates alarm information and sends the alarm information to a power station manager, and the specific alarm information is as follows:
when the adaptation result is the first grade to be optimized, immediately sending alarm information once, wherein the title of the alarm information is yellow, and the beginning number is D;
When the adaptation result is the second grade to be optimized, immediately sending alarm information once, wherein the title of the alarm information is orange, the beginning number is G, and the alarm information is repeatedly sent after 1 hour interval with the previous alarm information;
when the adaptation result is the third grade to be optimized, the alarm information is sent once immediately, the title of the alarm information is red, the beginning number is M, and the alarm information is repeatedly sent after 20 minutes from the previous alarm information.
Preferably, the feedback unit comprises a recording module and a marking module, the recording module is used for generating adjustment logs for the adaptation result of the matching module, and the marking module is used for marking different orders of magnitude among the adjustment logs and classifying and storing the adjustment logs according to the marks so as to facilitate the retrieval and the reference.
Preferably, the specific marking mode of the marking module is as follows:
when the log is displayed as a first level to be optimized, taking D as a log name, respectively recording as D-1, D-2, D-3, D-n, and taking the log name as yellow;
When the log is displayed as a second grade to be optimized, taking G as a log name, respectively marking G-1, G-2, G-3, G-n and the log name as orange;
When the log is displayed as the third level to be optimized, M is used as the log name, which is respectively recorded as M-1, M-2, M-3, M-n, and the log name is red.
(III) beneficial effects
The invention provides a digital substation-based power quality analysis system. The beneficial effects are as follows:
(1) According to the system for analyzing the electric energy quality of the digital transformer substation, by introducing the nonlinear load characteristic, the electric energy quality is monitored and adjusted more comprehensively, the system is more comprehensive in terms of linear and nonlinear load processing, the adaptability and the robustness of the system are improved, and compared with a traditional method, the system can respond to the electric energy quality abnormality more rapidly, and the initiative and the pertinence of the power station to the electric energy quality management are enhanced while the intelligent level of the power station operation is improved through a digital monitoring and adjusting means.
(2) According to the digital substation-based power quality analysis system, the two comparison modules are introduced, so that the system can evaluate the power quality more comprehensively and accurately, the power station is provided with more practical optimization suggestions through classifying different power quality grades, a manager can purposefully formulate the optimization schemes according to the current grade of the power station, the practicability and actual operability of the optimization suggestions are improved, and timely judgment and multi-grade suggestions enable the power quality management to be more efficient, so that the power station can make decisions and take actions rapidly, and the efficiency of the power quality management is improved.
Drawings
FIG. 1 is a flow chart of the system of the present invention.
In the figure: 1. a data acquisition unit; 2. a preprocessing unit; 3. an analysis unit; 4. an optimizing unit; 5. an alarm unit; 6. a feedback unit; 101. a linear data acquisition module; 102. a nonlinear data acquisition module; 201. a cleaning module; 202. a classification module; 401. a first contrast module; 402. a second comparison module; 501. a storage module; 502. a matching module; 503. an execution module; 601. a recording module; 602. and a marking module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, a digital substation-based power quality analysis system includes a data acquisition unit 1, a preprocessing unit 2, an analysis unit 3, an optimization unit 4, an alarm unit 5, and a feedback unit 6;
The data acquisition unit 1 is used for acquiring multi-source data of power station electric energy so as to generate a power station linear load data set and a power station nonlinear load data set, and inputting the power station linear load data set and the power station nonlinear load data set into the preprocessing unit 2;
the preprocessing unit 2 preprocesses the power station linear load data set and the power station nonlinear load data set which are input by the data acquisition unit 1, and inputs the processed power station linear load data set and the power station nonlinear load data set into the analysis unit 3;
The analysis unit 3 is configured to perform an integration calculation on the linear load data set of the power station and the nonlinear load data set of the power station, thereby obtaining a linear load reference value XFckz and a nonlinear load reference value FFckz, perform a secondary integration calculation on the linear load reference value XFckz and the nonlinear load reference value FFckz, thereby obtaining an optimized reference value Yckz, and input an optimized reference value Yckz obtained by the calculation into the optimization unit 4;
The optimizing unit 4 is configured to compare the optimized reference value Yckz with a preset first threshold Y, thereby generating a first comparison result, determine whether the power quality of the power station is acceptable according to the first comparison result, if the first comparison result is that the power quality is acceptable, not adjust the power station system, if the first comparison result is that the power quality is unacceptable, integrate and calculate the optimized reference value Yckz with the preset first threshold Y, thereby obtaining a classification magnitude value Fljz, compare the classification magnitude value Fljz with a second threshold R, thereby generating a second comparison result, classifying the power station quality in magnitude, and input the second comparison result into the alarm unit 5;
The alarm unit 5 matches the input second comparison result with a preset adjustment scheme, so as to perform intervention adjustment on the power station system, generate an alarm and send the alarm to a power station manager, and meanwhile, the alarm unit 5 also inputs the alarm into the feedback unit 6 for backup;
the feedback unit 6 files and sorts the alarms input by the alarm unit 5, and makes different marks according to the alarm level so as to be convenient for calling and consulting.
In this embodiment: the data acquisition unit 1 is responsible for acquiring data inside and outside the power station and generating linear and nonlinear load data sets. This is beneficial to monitoring the operating state of the power station in real time, providing basic data support. The actual condition of the electric energy quality can be accurately known through data acquisition, and a reliable data basis is provided for subsequent quality analysis and adjustment.
The preprocessing unit 2 processes the collected linear and nonlinear load data sets, and is beneficial to data cleaning and arrangement. By preprocessing, noise in the data can be eliminated, the credibility of the data is improved, and more accurate and reliable input is provided for subsequent analysis and optimization.
The analysis unit 3 integrates the calculated linear and nonlinear load data sets to obtain a load reference value and an optimization reference value. This is beneficial for a deep understanding of the power quality situation, providing guidance for subsequent optimisation. By analysis, potential problems can be identified and a reasonable optimization objective is provided for the optimization unit.
And the optimizing unit 4 judges whether the power quality of the power station is qualified or not by comparing the optimizing reference value with a preset threshold value, and then carries out system adjustment. The method is beneficial to realizing the real-time monitoring and adjustment of the power quality of the power station, improving the stability of the system and reducing the occurrence rate of the power quality problem.
The alarm unit 5 generates an alarm through the comparison result and intervenes in the adjustment of the power station system according to a preset adjustment scheme. This is beneficial to timely find and respond to power quality anomalies, reducing the impact of quality problems on the system. Through the alarm, the sensing and coping capacity of power station management personnel to the power quality problem can be improved.
The feedback unit 6 is used for archiving and sorting the alarms input by the alarm unit 5, and making different marks according to the alarm level so as to be convenient for calling and consulting.
According to the digital substation power quality analysis system, by introducing nonlinear load characteristics, the power quality is monitored and adjusted more comprehensively. Compared with the traditional method, the system can respond to the abnormal electric energy quality more quickly, and the intelligent level of the operation of the power station is improved and the initiative and pertinence of the power station to the electric energy quality management are enhanced through the digital monitoring and adjusting means.
Example 2
Referring to fig. 1, a data acquisition unit 1 includes a linear data acquisition module 101 and a nonlinear data acquisition module 102, wherein the linear data acquisition module 101 is used for acquiring linear data of a power station, and the nonlinear data acquisition module 102 is used for acquiring nonlinear data of the power station;
The linear data acquisition module 101 comprises a current digital signal receiver, a voltage digital signal receiver and a power digital signal receiver, wherein the current digital signal receiver is used for detecting the current of the power station so as to generate a current value Dlz, the voltage digital signal receiver is used for detecting the voltage of the power station so as to generate a voltage value Dyz, and the power digital signal receiver is used for detecting the power of the power station so as to generate an electric power value Dgz;
The nonlinear data acquisition module 102 comprises a power quality analyzer and a digital oscilloscope, wherein the power quality analyzer is used for analyzing the power quality of the power station to generate a harmonic content Bhyl and a waveform distortion factor Bjbz, and the digital oscilloscope is used for analyzing the power quality of the power station to generate a current waveform factor Bbxz.
In this embodiment: the linear data acquisition module 101 and the nonlinear data acquisition module 102 are introduced, so that the system can monitor basic electric parameters, can capture nonlinear characteristics, and improves the richness and diversity of data.
The nonlinear data acquisition module 102 introduces the power quality analyzer and the digital oscilloscope, so that the nonlinear data acquisition module 102 can analyze the power quality including the harmonic content Bhyl, the waveform distortion factor Bjbz and the current waveform factor Bbxz more accurately, the system can evaluate the quality condition of the power more comprehensively, and the recognition and prevention capability of potential problems is improved.
By introducing the linear data acquisition module 101 and the nonlinear data acquisition module 102, the system can better analyze the electric energy quality, improve the accuracy of fault diagnosis, more effectively identify the root cause of the electric energy quality problem, be helpful to quickly take corresponding adjustment and maintenance measures, and be more flexibly suitable for different types of power stations and load characteristics, thereby providing a more comprehensive and flexible solution for electric energy quality management under different scenes.
Example 3
Referring to fig. 1, the preprocessing unit 2 includes a cleaning module 201 and a classification module 202, wherein the cleaning module 201 is configured to clean data of a current value Dlz, a voltage value Dyz, an electric power value Dgz, a harmonic content Bhyl, a waveform distortion factor Bjbz and a current waveform factor Bbxz and remove abnormal values, and input the processed current value Dlz, voltage value Dyz, electric power value Dgz, harmonic content Bhyl, waveform distortion factor Bjbz and current waveform factor Bbxz into the classification module 202 for rearrangement into a linear load data set of a power station and a nonlinear load data set of the power station;
The plant linear load data set comprises: current value Dlz, voltage value Dyz, and current value Dgz;
The power plant nonlinear load data set comprises: harmonic content Bhyl, waveform distortion factor Bjbz, and current waveform factor Bbxz.
In this embodiment: the cleaning module 201 cleans the data of the current, the voltage, the power, the harmonic content, the waveform distortion factor and the current waveform factor, so that abnormal values and noise are effectively removed, and the quality and the reliability of the data are improved. This helps to obtain more accurate results at a later analysis stage.
The cleaning module 201 is specifically configured to process abnormal values, and is helpful to exclude data of the current value Dlz, the voltage value Dyz, the electric power value Dgz, the harmonic content Bhyl, the waveform distortion factor Bjbz and the current waveform factor Bbxz that may be suddenly interfered, so that stability and reliability of the data are improved, and therefore, the system can evaluate the electric energy quality more accurately, and interference of the abnormal values on the result is avoided.
The classification module 202 rearranges the cleaned data into a power station linear load data set and a power station nonlinear load data set, so that the system can analyze and optimize the linear and nonlinear loads more pertinently, and through classification, the system can better understand the load characteristics and provide finer targets and directions for subsequent optimization.
Example 4
Referring to fig. 1, the specific calculation formulas of the linear load reference value XFckz and the nonlinear load reference value FFckz are as follows:
；
；
Wherein: dlz is a current value, dyz is a voltage value, dgz is an electric power value, bhyl is a harmonic content, bjbz is a waveform distortion factor, 38362 is a current waveform factor, a1, a2, a3, B1, B2 and B3 are weight values, and a1 not equal to a2 not equal to a3 not equal to 0, b1 not equal to b2 not equal to b3 not equal to 0, A and B are a first correction constant and a second correction constant respectively, and specific values of a1, a2, a3, B1, B2, B3, A and B are adjusted and set by a user.
In this embodiment: specific calculation formulas are introduced, and information of multiple aspects of a current value Dlz, a voltage value Dyz, an electric power value Dgz, a harmonic content Bhyl, a waveform distortion factor Bjbz and a current waveform factor Bbxz is covered, so that the linear load reference value XFckz and the nonlinear load reference value FFckz more comprehensively reflect various aspects of electric energy quality, and the comprehensiveness and accuracy of calculation data are improved.
The weight values a1, a2, a3, B1, B2 and B3 and the correction constants A and B are introduced into a specific calculation formula, and the user is allowed to perform personalized adjustment on the parameters, so that the system has higher flexibility, personalized customization can be performed according to the actual conditions of different power stations, and the adaptability and operability of the system are improved.
Example 5
Referring to fig. 1, a specific calculation formula of the optimization reference Yckz is as follows:
；
wherein: XFckz is a linear load reference value, FFckz is a nonlinear load reference value, C1 and C2 are weight values, c1+.c2+.0, cos (x) is a first power factor, cos (v) is a second power factor, C is a third correction constant, and values of C1, C2, cos (x), cos (v) and C are set by user adjustment.
In this embodiment: the linear load reference value XFckz and the nonlinear load reference value FFckz are comprehensively considered in the calculation formula of the optimization reference value Yckz, and the influence of the linear load and the nonlinear load is more comprehensively considered by the system through adjustment of the weight values c1 and c2, so that the overall condition of the power quality can be accurately estimated.
The first power factor cos (x) and the second power factor cos (v) are introduced into the calculation formula, and by considering the first power factor cos (x) and the second power factor cos (v), the system can more comprehensively analyze the electric energy quality, and particularly effectively control the sensitivity of the power factor. This allows the system to be more comprehensive and accurate in assessing the quality of power.
Example 6
Referring to fig. 1, the optimizing unit 4 includes a first comparing module 401 and a second comparing module 402, where the first comparing module 401 is used for generating a first comparison result, and the second comparing module 402 is used for generating a second comparison result;
The first comparison result is: when (when) When the current power station is qualified, the power quality of the current power station is not required to be adjusted, whenWhen the current power station is unqualified in power quality, the optimization adjustment is needed;
Wherein Yckz is an optimization reference value, and Y is a first threshold value;
The second comparison result is: when (when) When the current power station power quality is in a first level to be optimized;
When (when) When the current power station power quality is in the second level to be optimized;
When (when) When the current power station power quality is in a third level to be optimized;
wherein Fljz is a classification magnitude, and R is a second threshold;
the calculation formula of the classification magnitude Fljz is as follows:
；
wherein: yckz is an optimization reference value, and Y is a first threshold value.
In this embodiment: the first comparison result generated by the first comparison module 401 can immediately judge whether the power quality of the current power station is qualified, and when the power quality is qualified, the system does not need to perform additional optimization adjustment, so that the operation efficiency and the automation degree of the power station are improved.
The second comparison result generated by the second comparison module 402 provides multi-level division of the power quality of the power station, so that the system can provide optimization suggestions more specifically, the power station can know the condition of the power quality more comprehensively, and the accurate positioning of the system on the problems and the refinement of the optimization suggestions are realized.
Through introducing two contrast modules, make the system can more comprehensively and accurately evaluate the electric energy quality, through dividing the optimization suggestion that provides more practicality for the power station to different electric energy quality grades, the managers can be according to the current grade of power station, the optimization scheme of pointedly setting, the practicality and the actual operability of optimization suggestion have been improved, and timely judgement and multistage suggestion make electric energy quality management more high-efficient, thereby make the power station can make decision and take action rapidly, the efficiency of electric energy quality management has been improved.
Example 7
Referring to fig. 1, the alarm unit 5 includes a storage module 501, a matching module 502, and an executing module 503, where the storage module 501 is used for storing an adjustment scheme, the matching module 502 is used for adapting the adjustment scheme stored in the storage module 501 to the second comparison result, and the executing module 503 is used for executing the specifically adapted adjustment scheme;
The adjustment scheme stored in the storage module 501 is as follows:
When the second comparison result shows that the first grade to be optimized is displayed, the power station capacitor is adjusted to enable the current value Dlz% to be improved, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 3%, the fundamental harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 3%, and the load isolation equipment is adjusted to enable the waveform distortion factor Bjbz to be reduced by 8%;
When the second comparison result shows that the second grade to be optimized, the power station capacitor is adjusted to enable the current value Dlz to be improved by 5 to 8 percent, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 3 to 6 percent, the basic harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 3 to 9 percent, and the load isolation equipment is adjusted to enable the waveform distortion factor Bjbz to be reduced by 8 to 12 percent;
When the second comparison result shows that the third grade to be optimized is obtained, the power station capacitor is adjusted to enable the current value Dlz to be improved by 8% -12%, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 6% -10%, the basic harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 9% -11%, the load isolation equipment is adjusted to enable the waveform distortion factor Bbxz to be reduced by 12% -15%, and meanwhile comprehensive investigation, overhaul and maintenance are conducted on the power management system.
In this embodiment: the storage module 501 stores a plurality of intelligent power quality adjustment schemes, which helps the system intelligently select an appropriate adjustment scheme based on the second comparison result, improving the intelligence and adaptability of the adjustment scheme.
The adjustment scheme in the storage module provides a multi-level adjustment strategy according to different levels of the second comparison result. The system can execute adjustment more pertinently, suitable adjustment amplitude is facilitated to be selected according to actual conditions, adjustment accuracy is improved, the adjustment scheme covers a plurality of key devices in the power station, including capacitors, power calibration devices, harmonic filters and load isolation devices, the system can comprehensively optimize electric energy quality through comprehensive adjustment of the devices, and adjustment comprehensiveness and effect synergy are improved.
Example 8
Referring to fig. 1, the execution module 503 may also generate alarm information to send to a power station manager, where the alarm information is as follows:
when the adaptation result is the first grade to be optimized, immediately sending alarm information once, wherein the title of the alarm information is yellow, and the beginning number is D;
When the adaptation result is the second grade to be optimized, immediately sending alarm information once, wherein the title of the alarm information is orange, the beginning number is G, and the alarm information is repeatedly sent after 1 hour interval with the previous alarm information;
when the adaptation result is the third grade to be optimized, the alarm information is sent once immediately, the title of the alarm information is red, the beginning number is M, and the alarm information is repeatedly sent after 20 minutes from the previous alarm information.
In this embodiment: the different colors of the alarm information titles represent different levels of power quality problems. Yellow, orange and red respectively correspond to a first grade to be optimized, a second grade to be optimized and a third grade to be optimized, and the differentiation of the colors enables a manager to intuitively know the grade of the power quality problem, is helpful for more orderly management and decision making, and achieves a comprehensive, flexible and operable alarm mechanism in the aspect of alarm information transmission by introducing functions of timely response of real-time alarm, step-by-step reminding of the manager, clear color of the differentiated grade and repeated transmission of guarantee information to be concerned, thereby improving the response speed and management efficiency of power quality management.
Example 9
Referring to fig. 1, the feedback unit 6 includes a recording module 601 and a marking module 602, the recording module 601 is configured to generate adjustment logs for the adaptation result of the matching module 502, and the marking module 602 is configured to mark different magnitudes between the adjustment logs, and store the adjustment logs according to the marks in a classification manner so as to facilitate retrieval and reference.
The specific labeling mode of the labeling module 602 is as follows:
when the log is displayed as a first level to be optimized, taking D as a log name, respectively recording as D-1, D-2, D-3, D-n, and taking the log name as yellow;
When the log is displayed as a second grade to be optimized, taking G as a log name, respectively marking G-1, G-2, G-3, G-n and the log name as orange;
When the log is displayed as the third level to be optimized, M is used as the log name, which is respectively recorded as M-1, M-2, M-3, M-n, and the log name is red.
In this embodiment: the recording module 601 generates a detailed adjustment log for the adaptation result of the matching module 502. By recording each adjustment, the system can track the historical change of the power quality and can clearly know the specific content and result of each adjustment. This facilitates analysis and evaluation of long-term trends in power quality.
The marking module 602 adopts different marking modes, and names the power quality problems with different grades by yellow, orange and red respectively, and marks D, G and M. The classification mode is visual and clear, so that a user can rapidly identify and locate the electric energy quality problems with different magnitudes, and the subsequent management and adjustment can be more targeted.
The marking module 602 sorts and stores the adjustment log according to the marks, so that the adjustment log is easier to be called and referred. The marks with different colors and names enable a user to intuitively know the grade of the power quality problem, and are helpful for quickly acquiring a history record when needed, so that the problem cause can be better analyzed and a proper solution can be formulated.
Data example:
Taking a certain electric field as an example, the following is a data example based on a digital substation power quality analysis system:
Wherein the method comprises the steps of ：a1: 0.3、a2: 0.5、a3: 0.2、b1: 0.1、b2: 0.4、b3: 0.5、c1: 0.6、c2: 0.4、A: 0.05、B: 0.1、C: 0.02、cos（x）：0.9、cos（v）：0.8、Y: 0.1、R:3.25;
Current value Dlz =: 10. voltage value Dyz: 5. Electric power value Dgz: 8. harmonic content Bhyl: 0.3, waveform distortion factor Bjbz: 0.2, current form factor Bbxz: 0.1;
Linear load reference XFckz: 0.7, nonlinear load reference FFckz: 0.6;
Optimization reference Yckz:0.416 due to Y:0.1, thus Representing that the quality of the current power station computer is unqualified, and needing to be optimized and adjusted;
classification magnitude Fljz:3.16, thus meeting When the current power quality of the power station is in the second grade to be optimized, the power station capacitor is adjusted to enable the current value Dlz% -8%, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 3% -6%, the basic harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 3% -9%, the load isolation equipment is adjusted to enable the waveform distortion factor Bjbz to be reduced by 8% -12%, the alarm information is immediately sent once, the title color of the alarm information is orange, the beginning number is G, the alarm information is repeatedly sent after being separated from the previous alarm information by 1 hour, and the G is used as a log name and the log name is orange to generate an adjustment log for storage.
By introducing detailed adjustment log records, different-magnitude mark classification and convenient retrieval and review functions, the system achieves more comprehensive, visual and convenient functions in the aspects of feedback records and review, and improves the information acquisition and analysis efficiency of a user on power quality management.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a can be based on digital substation's electric energy quality analysis system, includes data acquisition unit (1), preprocessing unit (2), analysis unit (3), optimizing unit (4), alarm unit (5) and feedback unit (6), its characterized in that:
The data acquisition unit (1) is used for acquiring multi-source data of power station electric energy so as to generate a power station linear load data set and a power station nonlinear load data set, and the power station linear load data set and the power station nonlinear load data set are input into the preprocessing unit (2);
The preprocessing unit (2) preprocesses the power station linear load data set and the power station nonlinear load data set which are input by the data acquisition unit (1), and inputs the processed power station linear load data set and the power station nonlinear load data set into the analysis unit (3);
The analysis unit (3) is used for performing integrated calculation on the linear load data set of the power station and the nonlinear load data set of the power station so as to obtain a linear load reference value XFckz and a nonlinear load reference value FFckz, performing secondary integrated calculation on the linear load reference value XFckz and the nonlinear load reference value FFckz so as to obtain an optimized reference value Yckz, and inputting the optimized reference value Yckz obtained by calculation into the optimization unit (4);
The optimizing unit (4) is used for comparing the optimizing reference value Yckz with a preset first threshold Y so as to generate a first comparison result, judging whether the electric energy quality of the power station is qualified according to the first comparison result, if the first comparison result is that the electric energy quality is qualified, not adjusting a power station system, if the first comparison result is that the electric energy quality is not qualified, integrating the optimizing reference value Yckz with the preset first threshold Y so as to obtain a classification magnitude value Fljz, comparing the classification magnitude value Fljz with a second threshold R so as to generate a second comparison result, classifying the electric energy quality of the power station in magnitude, and inputting the second comparison result into the alarm unit (5);
The alarm unit (5) matches the input second comparison result with a preset adjustment scheme, so that intervention adjustment is performed on a power station system, an alarm is generated and sent to a power station manager, and meanwhile, the alarm unit (5) also inputs the alarm into the feedback unit (6) for backup;
The feedback unit (6) files and sorts the alarms input by the alarm unit (5), and makes different marks according to the alarm level so as to be convenient for calling and consulting.
2. The digital substation-based power quality analysis system of claim 1, wherein: the data acquisition unit (1) comprises a linear data acquisition module (101) and a nonlinear data acquisition module (102), wherein the linear data acquisition module (101) is used for acquiring linear data of a power station, and the nonlinear data acquisition module (102) is used for acquiring nonlinear data of the power station;
The linear data acquisition module (101) comprises a current digital signal receiver, a voltage digital signal receiver and a power digital signal receiver, wherein the current digital signal receiver is used for detecting the current of a power station so as to generate a current value Dlz, the voltage digital signal receiver is used for detecting the voltage of the power station so as to generate a voltage value Dyz, and the power digital signal receiver is used for detecting the power of the power station so as to generate an electric power value Dgz;
The nonlinear data acquisition module (102) comprises a power quality analyzer and a digital oscilloscope, wherein the power quality analyzer is used for analyzing power quality of a power station to generate harmonic content Bhyl and waveform distortion factor Bjbz, and the digital oscilloscope is used for analyzing the power quality of the power station to generate current waveform factor Bbxz.
3. The digital substation-based power quality analysis system of claim 2, wherein: the preprocessing unit (2) comprises a cleaning module (201) and a classification module (202), wherein the cleaning module (201) is used for cleaning data of a current value Dlz, a voltage value Dyz, an electric power value Dgz, a harmonic content Bhyl, a waveform distortion factor Bjbz and a current waveform factor Bbxz and removing abnormal values, and the processed current value Dlz, voltage value Dyz, electric power value Dgz, harmonic content Bhyl, waveform distortion factor Bjbz and current waveform factor Bbxz are input into the classification module (202) to be rearranged into a power station linear load data set and a power station nonlinear load data set;
The plant linear load data set comprises: current value Dlz, voltage value Dyz, and current value Dgz;
The power plant nonlinear load data set comprises: harmonic content Bhyl, waveform distortion factor Bjbz, and current waveform factor Bbxz.
4. A digital substation-based power quality analysis system according to claim 3, characterized in that: the specific formulas of calculation for the linear load reference XFckz and the nonlinear load reference FFckz are as follows:
；
；
Wherein: dlz is a current value, dyz is a voltage value, dgz is an electric power value, bhyl is a harmonic content, bjbz is a waveform distortion factor, 38362 is a current waveform factor, a1, a2, a3, B1, B2 and B3 are weight values, and a1 not equal to a2 not equal to a3 not equal to 0, b1 not equal to b2 not equal to b3 not equal to 0, A and B are a first correction constant and a second correction constant respectively, and specific values of a1, a2, a3, B1, B2, B3, A and B are adjusted and set by a user.
5. The digital substation-based power quality analysis system of claim 4, wherein: the specific calculation formula of the optimization reference value Yckz is as follows:
；
wherein: XFckz is a linear load reference value, FFckz is a nonlinear load reference value, C1 and C2 are weight values, c1+.c2+.0, cos (x) is a first power factor, cos (v) is a second power factor, C is a third correction constant, and values of C1, C2, cos (x), cos (v) and C are set by user adjustment.
6. The digital substation-based power quality analysis system of claim 5, wherein: the optimization unit (4) comprises a first comparison module (401) and a second comparison module (402), wherein the first comparison module (401) is used for generating a first comparison result, and the second comparison module (402) is used for generating a second comparison result;
The first comparison result is: when (when) When the current power station is qualified, the power quality of the current power station is not required to be adjusted, whenWhen the current power station is unqualified in power quality, the optimization adjustment is needed;
Wherein Yckz is an optimization reference value, and Y is a first threshold value;
The second comparison result is: when (when) When the current power station power quality is in a first level to be optimized;
When (when) When the current power station power quality is in the second level to be optimized;
When (when) When the current power station power quality is in a third level to be optimized;
wherein Fljz is a classification magnitude, and R is a second threshold;
the calculation formula of the classification magnitude Fljz is as follows:
；
wherein: yckz is an optimization reference value, and Y is a first threshold value.
7. The digital substation-based power quality analysis system of claim 6, wherein: the alarm unit (5) comprises a storage module (501), a matching module (502) and an execution module (503), wherein the storage module (501) is used for storing an adjustment scheme, the matching module (502) is used for adapting the adjustment scheme stored in the storage module (501) to a second comparison result, and the execution module (503) is used for executing the specifically adapted adjustment scheme;
the adjustment scheme stored in the storage module (501) is as follows:
When the second comparison result shows that the first grade to be optimized is displayed, the power station capacitor is adjusted to enable the current value Dlz% to be improved, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 3%, the fundamental harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 3%, and the load isolation equipment is adjusted to enable the waveform distortion factor Bjbz to be reduced by 8%;
When the second comparison result shows that the second grade to be optimized, the power station capacitor is adjusted to enable the current value Dlz to be improved by 5 to 8 percent, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 3 to 6 percent, the basic harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 3 to 9 percent, and the load isolation equipment is adjusted to enable the waveform distortion factor Bjbz to be reduced by 8 to 12 percent;
When the second comparison result shows that the third grade to be optimized is obtained, the power station capacitor is adjusted to enable the current value Dlz to be improved by 8% -12%, the power calibration equipment is adjusted to enable the current waveform factor Bbxz to be reduced by 6% -10%, the basic harmonic filter is adjusted to enable the harmonic content Bhyl to be reduced by 9% -11%, the load isolation equipment is adjusted to enable the waveform distortion factor Bbxz to be reduced by 12% -15%, and meanwhile comprehensive investigation, overhaul and maintenance are conducted on the power management system.
8. The digital substation-based power quality analysis system of claim 7, wherein: the execution module (503) also generates alarm information and sends the alarm information to a power station manager, wherein the specific alarm information is as follows:
when the adaptation result is the first grade to be optimized, immediately sending alarm information once, wherein the title of the alarm information is yellow, and the beginning number is D;
When the adaptation result is the second grade to be optimized, immediately sending alarm information once, wherein the title of the alarm information is orange, the beginning number is G, and the alarm information is repeatedly sent after 1 hour interval with the previous alarm information;
when the adaptation result is the third grade to be optimized, the alarm information is sent once immediately, the title of the alarm information is red, the beginning number is M, and the alarm information is repeatedly sent after 20 minutes from the previous alarm information.
9. The digital substation-based power quality analysis system of claim 8, wherein: the feedback unit (6) comprises a recording module (601) and a marking module (602), the recording module (601) is used for generating adjustment logs for the adaptation result of the matching module (502), and the marking module (602) is used for marking different orders of magnitude among the adjustment logs and classifying and storing the adjustment logs according to the marks so as to be convenient for calling and consulting.
10. The digital substation-based power quality analysis system of claim 9, wherein: the specific marking mode of the marking module (602) is as follows:
when the log is displayed as a first level to be optimized, taking D as a log name, respectively recording as D-1, D-2, D-3, D-n, and taking the log name as yellow;
When the log is displayed as a second grade to be optimized, taking G as a log name, respectively marking G-1, G-2, G-3, G-n and the log name as orange;
When the log is displayed as the third level to be optimized, M is used as the log name, which is respectively recorded as M-1, M-2, M-3, M-n, and the log name is red.
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