CN116167660A - Quality evaluation method, system, equipment and medium for monitoring data of energy storage power station - Google Patents
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Abstract
The invention discloses a quality evaluation method, a system, equipment and a medium of monitoring data of an energy storage power station, which comprise the following steps: collecting monitoring data of an energy storage power station; the monitoring data of the energy storage power station comprises monitoring values of variable elements; carrying out standardization processing on the monitored value of the variable element to obtain a standardized value of the variable element, and generating a processing signal; carrying out anomaly analysis on the standardized values of the variable elements to obtain anomaly analysis results; generating a network connection signal set according to the processing signals; determining an evaluation value of a preset evaluation index according to the network connection signal set and an abnormal analysis result; according to the evaluation value of the preset evaluation index, a preset data quality evaluation formula is combined, and the quality comprehensive score of the monitoring data of the energy storage power station is calculated, so that the quality evaluation result of the monitoring data of the energy storage power station is obtained; according to the method, the comprehensive quality score of the monitoring data of the energy storage power station is calculated, so that the comprehensive evaluation of the monitoring data of the energy storage power station is realized, and the operation quality of the power station is conveniently and intuitively obtained.
Description
Technical Field
The invention belongs to the technical field of energy storage power station data monitoring, and particularly relates to a quality evaluation method, a system, equipment and a medium of energy storage power station monitoring data.
Background
The energy storage power station performs a device system capable of circularly storing, converting and releasing electric energy through an electrochemical cell or an electromagnetic energy storage medium and is used for adjusting peak-valley electricity utilization problem; as the battery energy storage technology is mature, the battery energy storage technology is widely applied to power systems; in the operation process of the energy storage power station, operation data of the energy storage power station need to be monitored so as to ensure safe and stable operation of the energy storage power station.
In the prior art, for example, chinese patent application "a battery energy storage station monitoring method and system based on big data and digital twinning" (application number: CN 202111060418.8), the battery energy storage station monitoring method disclosed therein, although capable of solving the technical problems that the monitoring of the battery energy storage station is not perfect enough, the intelligent data analysis cannot be accurately performed on thermal runaway, the safety control reliability is low and the efficiency is not high, but the quality of the monitoring data of the energy storage station cannot be comprehensively evaluated, which is not beneficial for a user to intuitively and accurately obtain the operation quality of the power station.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a quality evaluation method, a system, equipment and a medium for monitoring data of an energy storage power station, which are used for solving the technical problems that the quality of the monitoring data of the energy storage power station cannot be comprehensively evaluated in the prior art, and a user is not facilitated to intuitively and accurately acquire the operation quality of the power station.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the invention provides a quality evaluation method of monitoring data of an energy storage power station, which comprises the following steps:
collecting monitoring data of an energy storage power station; the monitoring data of the energy storage power station comprises monitoring values of variable elements;
carrying out standardization processing on the monitoring value of the variable element to obtain a standardized value of the variable element, and generating a processing signal;
carrying out anomaly analysis on the standardized value of the variable element to obtain an anomaly analysis result;
generating a network connection signal set according to the processing signals;
determining an evaluation value of a preset evaluation index according to the network connection signal set and the abnormal analysis result;
and according to the evaluation value of the preset evaluation index, calculating to obtain the quality comprehensive score of the monitoring data of the energy storage power station by combining a preset data quality evaluation formula, and obtaining the quality evaluation result of the monitoring data of the energy storage power station.
As a further scheme of the invention, the monitoring value of the variable element comprises the monitoring data of the operation of the main circuit of the energy storage power station and the monitoring data of the operation of the sub circuit of the energy storage power station.
Further, according to the processing signal, a process of generating a network connection signal set is specifically as follows:
if the processing signal is empty, generating a network connection signal of a number 1;
if the processing signal is not empty, generating a network connection signal of a number 0;
and summarizing the network connection signals of the number 0 and the network connection signals of the number 1 to obtain the network connection signal set.
As a further scheme of the present invention, the process of performing anomaly analysis on the standardized value of the variable element to obtain an anomaly analysis result is specifically as follows:
comparing the standardized value of the variable element with a preset threshold value of a prestored variable element, and recording the occurrence times of the standardized value of the variable element exceeding the preset threshold value of the prestored variable element;
the preset threshold value of the prestored variable element comprises a maximum value data value and a minimum value data value;
the occurrence times of the standardized value of the variable element exceeding the pre-stored preset threshold value of the variable element comprises the occurrence times of the standardized value of the variable element being larger than the maximum data value and the occurrence times of the standardized value of the variable element being smaller than the minimum data value;
performing blank data inspection on the standardized value of the variable element to obtain the occurrence times of blank data;
carrying out dead number abnormality test on the standardized value of the variable element to obtain the occurrence times of dead number abnormality;
the process of obtaining occurrence times of dead number abnormality by carrying out dead number abnormality test on the standardized value of the variable element comprises the following steps:
if the standardized values of the variable elements with continuous preset numbers in the preset time period are consistent, the standardized values of the variable elements with the preset numbers are dead numbers; recording the number of times of occurrence of dead numbers in the standardized values of all variable elements, and obtaining the occurrence times of the dead number abnormality.
As a further aspect of the present invention, the preset evaluation index includes a network outage index, a maximum value abnormality index, a minimum value abnormality index, an air count index, and a dead number abnormality index.
As a further scheme of the present invention, according to the network connection signal set and the anomaly analysis result, the process of determining the evaluation value of the preset evaluation index is specifically as follows:
determining an evaluation value of a network interruption index according to the duty ratio of the network connection signal of the number 1 in the network connection signal set;
determining an evaluation value of a maximum abnormality index according to the ratio of the number of occurrences of the standardized value of the variable element greater than the maximum data value to the number of standardized values of the variable element;
determining an evaluation value of an abnormal minimum value index according to the ratio of the occurrence times of the standardized value of the variable element smaller than the minimum value data value to the number of standardized values required by the variable;
determining an evaluation value of an air count index according to the ratio of the occurrence times of the blank data to the number of the standardized values required by the variables;
and determining an evaluation value of the death number abnormality index according to the ratio of the occurrence times of the death number abnormality to the number of the standardized values of the variable elements.
As a further aspect of the present invention, the preset data quality evaluation formula is:
E＝w 1 a+w 2 b+w 3 c+w 4 d+w 5 e
w 1 +w 2 +w 3 +w 4 +w 5 ＝1
e is the quality comprehensive score of the monitoring data of the energy storage power station; w (w) 1 The weight of the network interruption index is given; w (w) 2 The weight of the maximum value abnormality index; w (w) 3 The weight of the abnormal index of the minimum value; w (w) 4 The weight of the space index; w (w) 5 The weight of the index of abnormal dead number; a is an evaluation value of a network interruption index; b is the evaluation value of the maximum value abnormality index; c is an evaluation value of the minimum value abnormality index; d is the evaluation value of the space index; e is the evaluation value of the death number abnormality index.
The invention also provides a quality evaluation system of the monitoring data of the energy storage power station, which comprises the following steps:
the acquisition module is used for acquiring monitoring data of the energy storage power station; the monitoring data of the energy storage power station comprises monitoring values of variable elements;
the processing module is used for carrying out standardized processing on the monitored value of the variable element to obtain a standardized value of the variable element and generating a processing signal;
the analysis module is used for carrying out abnormal analysis on the standardized value of the variable element to obtain an abnormal analysis result;
the feedback module is used for generating a network connection signal set according to the processing signals;
the evaluation module is used for determining an evaluation value of a preset evaluation index according to the network connection signal set and the abnormal analysis result;
the calculation module is used for calculating and obtaining the quality comprehensive score of the monitoring data of the energy storage power station according to the evaluation value of the preset evaluation index and by combining a preset data quality evaluation formula, so as to obtain the quality evaluation result of the monitoring data of the energy storage power station;
and the display module is used for displaying the evaluation value of the preset evaluation index and the quality evaluation result of the monitoring data of the energy storage power station.
The invention also provides a quality evaluation device for monitoring data of the energy storage power station, which comprises the following components:
a memory for storing a computer program;
and the processor is used for realizing the quality evaluation method of the monitoring data of the energy storage power station when executing the computer program.
The invention also provides a computer readable storage medium storing a computer program which when executed by a processor implements the steps of the method for quality assessment of energy storage plant monitoring data.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a quality evaluation method and a system for monitoring data of an energy storage power station, wherein the quality evaluation method and the system are characterized in that the monitoring value of a variable element is subjected to standardized processing and a processing signal is generated; determining an evaluation value of a preset evaluation index by utilizing an abnormal analysis result of a standardized value of a variable element and combining a network connection signal set generated by processing signals; and finally, calculating according to an evaluation value of a preset evaluation index to obtain a quality comprehensive score of the monitoring data of the energy storage power station, namely obtaining a quality evaluation result of the monitoring data of the energy storage power station, realizing comprehensive evaluation of the monitoring data of the energy storage power station, facilitating a user to intuitively and accurately obtain the operation quality of the power station, ensuring safe and stable operation of the energy storage power station, and having universal adaptability.
Furthermore, the network interruption index, the maximum value abnormal index, the minimum value abnormal index, the air count index and the dead number abnormal index are used as preset evaluation indexes, so that the comprehensive evaluation of the monitoring data of the energy storage power station is realized, and the reliability of the monitoring of the power station data is ensured.
Drawings
FIG. 1 is a flow chart of a quality assessment method for monitoring data of an energy storage power station according to an embodiment;
fig. 2 is a block diagram of a quality evaluation system for monitoring data of an energy storage power station according to an embodiment.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects solved by the invention more clear, the following specific embodiments are used for further describing the invention in detail. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Examples
As shown in fig. 1, the present embodiment provides a quality evaluation method for monitoring data of an energy storage power station, which includes the following steps:
and step 1, collecting monitoring data of the energy storage power station. The monitoring data of the energy storage power station comprises monitoring values of quantitative elements and monitoring values of variable elements.
Specifically, the monitoring value of the quantitative element comprises a power station name, a power station capacity, an energy storage battery type, a power station type, a installed capacity, a rated charging power, a rated discharging power, a rated charging electric quantity, a rated discharging electric quantity and energy conversion efficiency; the energy storage battery type is a lithium iron phosphate battery, a sodium sulfur battery, a lead-carbon battery, a ternary lithium battery, a lead-acid battery or a echelon battery, and the power station type is a power grid side energy storage power station or a user side energy storage power station; the monitoring value of the quantitative element is a fixed value, and the acquisition frequency is set to be 1 time/month; and the monitoring value of the quantitative element is used for carrying out quality evaluation on the monitoring data of the energy storage power station in the dimension of the power station.
The monitoring value of the variable element comprises the main circuit operation monitoring data of the energy storage power station and the sub circuit operation monitoring data of the energy storage power station; the bus circuit operation monitoring data of the energy storage power station comprise bus circuit daily charging time, bus circuit daily discharging time, bus circuit daily operating time, bus circuit daily charging amount, bus circuit daily discharging amount, bus circuit annual charging amount, bus circuit annual discharging amount, bus circuit total charging amount, bus circuit total discharging amount, bus circuit annual charging time, bus circuit annual discharging time and bus circuit annual operating time; the subcircuit operation monitoring data of the energy storage power station comprises subcircuit daily charging time, subcircuit daily discharging time, subcircuit daily operating time, subcircuit daily charging quantity, subcircuit daily discharging quantity, subcircuit annual charging quantity, subcircuit annual discharging quantity, subcircuit total charging quantity, subcircuit total discharging quantity, subcircuit annual charging time, subcircuit annual discharging time and subcircuit annual operating time.
And step 2, carrying out standardization processing on the monitored values of the variable elements to obtain standardized values of the variable elements, and generating processing signals.
In this embodiment, the process of performing normalization processing on the monitored value of the variable element to obtain the normalized value of the variable element specifically includes the following steps:
step 21, carrying out unified conversion processing on the measurement units on the monitoring values of the variable elements to eliminate the influence of dimension, and obtaining the standard values of the variable elements; preferably, the process of performing the unit-of-measure unified conversion processing adopts a data normalization processing mode.
Step 22, after normalizing the monitored value of each variable element, a processing signal is generated.
And step 3, carrying out anomaly analysis on the standardized values of the variable elements to obtain anomaly analysis results. The abnormal analysis result comprises the occurrence times that the standardized value of the variable element exceeds a preset threshold value of a prestored variable element, the occurrence times of blank data and the occurrence times of dead number abnormality.
In this embodiment, the number of occurrences that the standardized value of the variable element exceeds the preset threshold value of the prestored variable element includes the number of occurrences that the standardized value of the variable element is greater than the maximum data value and the number of occurrences that the standardized value of the variable element is less than the minimum data value; the maximum value data value is obtained by multiplying the design standard threshold value of the variable element by a maximum value coefficient, and the minimum value data value is obtained by multiplying the design standard threshold value of the variable element by a minimum value coefficient; preferably, the maximum value coefficient is 1.2, and the minimum value coefficient is 0.8.
Specifically, the process of obtaining the occurrence number of the normalized value of the variable element greater than the maximum data value is specifically as follows:
and comparing the standardized value of the variable element with the maximum data value, and recording the occurrence frequency of the standardized value of the variable element larger than the maximum data value according to the comparison result.
Specifically, the process of obtaining the occurrence frequency of the normalized value of the variable element being smaller than the minimum data value is specifically as follows:
and comparing the standardized value of the variable element with the minimum value data value, and recording the occurrence frequency of obtaining that the standardized value of the variable element is smaller than the minimum value data value according to the comparison result.
Specifically, the process of obtaining the occurrence number of blank data is specifically as follows:
and performing blank data on the standardized value of the variable element, if the standardized value of a certain variable element is the blank value, recording the occurrence of the blank data once, and summarizing the occurrence times of all the blank data to obtain the occurrence times of the blank data.
Specifically, the process of obtaining the occurrence number of the dead number abnormality is specifically as follows:
if the standardized values of the variable elements with continuous preset numbers in the preset time period are consistent, the standardized values of the variable elements with the preset numbers are dead numbers; preferably, if the standardized values of 15 continuous variable elements within 1min are consistent or the standardized values of 7 continuous variable elements within 5min are consistent, the standardized values of 15 continuous variable elements within 1min or the standardized values of 7 continuous variable elements within 5min are dead numbers; recording the number of times of occurrence of dead numbers in the standardized values of all variable elements, and obtaining the occurrence times of the dead number abnormality.
And 4, generating a network connection signal set according to the processing signals. The process for generating the network connection signal set specifically comprises the following steps:
step 41, if the processing signal is empty, generating a network connection signal of number 1.
Step 42, if the processing signal is not null, generating a network connection signal of digital 0.
And 43, summarizing the network connection signals of the number 0 and the network connection signals of the number 1 to obtain the network connection signal set.
And step 5, determining an evaluation value of a preset evaluation index according to the network connection signal set and the abnormal analysis result. The preset evaluation indexes comprise a network interruption index, a maximum value abnormal index, a minimum value abnormal index, an air count index and a dead number abnormal index.
Specifically, the process of determining the evaluation value of the network outage indicator is specifically as follows:
and determining an evaluation value of a network interruption index according to the occurrence times of the network connection signals of the number 1 or the duty ratio of the network connection signals of the number 1 in the network connection signal set.
And when the evaluation value of the network interruption index is determined according to the duty ratio of the network connection signal of the number 1 in the network connection signal set, the evaluation value is calculated according to the following formula (1).
A is an evaluation value of the network interruption index; n is n 1 The duty ratio of the network connection signal according to the number 1 in the network connection signal set is set.
Specifically, the process of determining the evaluation value of the maximum abnormality index is specifically as follows:
and determining an evaluation value of a maximum abnormality index according to the number of times the standardized value of the variable element is larger than the maximum data value or the ratio of the number of times the standardized value of the variable element is larger than the maximum data value to the number of standardized values of the variable element.
Wherein, when determining the evaluation value of the maximum abnormality index according to the ratio of the number of occurrences of the standardized value of the variable element greater than the maximum data value to the number of standardized values of the variable element, the evaluation value is calculated according to the following formula (2).
Wherein b is the evaluation value of the maximum value abnormality index; n is n 2 The normalized value of the variable element is greater than the ratio of the number of occurrences of the maximum data value to the number of normalized values of the variable element.
Specifically, the process of determining the evaluation value of the minimum abnormality index is specifically as follows:
and determining an evaluation value of an abnormal minimum indicator according to the number of times the standardized value of the variable element is smaller than the minimum data value or the ratio of the number of times the standardized value of the variable element is smaller than the minimum data value to the number of standardized values of the variable element.
Wherein, when determining the evaluation value of the minimum abnormality index according to the ratio of the number of occurrences of the normalized value of the variable element smaller than the minimum data value to the number of normalized values of the variable element, the evaluation value is calculated according to the following formula (3).
Wherein c is an evaluation value of the minimum value abnormality index; n is n 3 The normalized value of the variable element is smaller than the ratio of the number of occurrences of the minimum data value to the number of normalized values of the variable element.
Specifically, the process of determining the evaluation value of the air count index is specifically as follows:
and determining an evaluation value of the space index according to the occurrence times of the blank data or the ratio of the occurrence times of the blank data to the number of the standardized values required by the variables.
And when the evaluation value of the space index is determined according to the ratio of the occurrence times of the blank data to the number of the standardized values required by the variables, the evaluation value is calculated according to the following formula (4).
Wherein d is an evaluation value of the space index; n is n 4 The ratio of the number of occurrences of the blank data to the number of standardized values required by the variable is used.
Specifically, the process of determining the evaluation value of the death number abnormality index is specifically as follows:
and determining an evaluation value of the death number abnormality index according to the occurrence frequency of the death number abnormality or the ratio of the occurrence frequency of the death number abnormality to the number of the standardized values of the variable elements.
Wherein the evaluation value of the dead number abnormality index is calculated according to the following formula (5) when determining the evaluation value of the dead number abnormality index based on the ratio of the number of occurrences of the dead number abnormality to the number of standardized values of the variable elements.
Wherein e is the evaluation value of the death number abnormality index; n is n 5 The ratio of the number of occurrences of the dead number anomaly to the number of standardized values required by the variable.
And 6, calculating to obtain a quality comprehensive score of the monitoring data of the energy storage power station according to the evaluation value of the preset evaluation index and by combining a preset data quality evaluation formula, and obtaining a quality evaluation result of the monitoring data of the energy storage power station. Specifically, the evaluation value of the network interruption index, the evaluation value of the maximum value abnormal index, the evaluation value of the minimum value abnormal index, the evaluation value of the air count index and the evaluation value of the dead number abnormal index determined in the step 5 are brought into a preset data quality evaluation formula, and the quality comprehensive score of the monitoring data of the energy storage power station is calculated to obtain the quality evaluation result of the monitoring data of the energy storage power station.
The preset data quality evaluation formula is as follows:
E＝w 1 a+w 2 b+w 3 c+w 4 d+w 5 e
w 1 +w 2 +w 3 +w 4 +w 5 ＝1
e is the quality comprehensive score of the monitoring data of the energy storage power station; w (w) 1 The weight of the network interruption index is given; w (w) 2 The weight of the maximum value abnormality index; w (w) 3 The weight of the abnormal index of the minimum value; w (w) 4 The weight of the space index; w (w) 5 The weight of the index of the abnormal dead number is given.
In this embodiment, the process of obtaining the quality evaluation result of the monitoring data of the energy storage power station by calculation can perform classification calculation according to the time dimension or the power station dimension to obtain the quality evaluation result of the monitoring data of the energy storage power station in the time dimension or the quality evaluation result of the monitoring data of the energy storage power station in the power station dimension.
The process for obtaining the quality evaluation result of the monitoring data of the energy storage power station in the time dimension specifically comprises the following steps:
according to the energy storage power station monitoring data collected in a preset time period, according to the operation in the steps 1-5, determining an evaluation value of a network interruption index, an evaluation value of a maximum value abnormal index, an evaluation value of a minimum value abnormal index, an evaluation value of an air count index and an evaluation value of a dead number abnormal index corresponding to the energy storage power station monitoring data collected in the preset time period, and carrying the evaluation values into a preset data quality evaluation formula to calculate and obtain a quality comprehensive score of the energy storage power station monitoring data in the preset time period, namely obtaining a quality evaluation result of the energy storage power station monitoring data in a time dimension.
The process for obtaining the quality evaluation result of the monitoring data of the energy storage power station in the power station dimension specifically comprises the following steps:
according to the monitoring data of the energy storage power station collected in a certain energy storage power station, according to the operation in the steps 1-5, determining an evaluation value of a network interruption index, an evaluation value of a maximum abnormal index, an evaluation value of a minimum abnormal index, an evaluation value of an air count index and an evaluation value of a dead number abnormal index corresponding to the monitoring data of the energy storage power station collected in the energy storage power station, and carrying the evaluation values into a preset data quality evaluation formula to calculate and obtain a quality comprehensive score of the monitoring data of the energy storage power station in the energy storage power station, namely obtaining a quality evaluation result of the monitoring data of the energy storage power station in the power station dimension.
According to the quality evaluation method for the monitoring data of the energy storage power station, the evaluation value of the preset evaluation index is determined according to the preset evaluation index and the abnormal analysis result of the standardized value of the variable element and the network connection signal; and secondly, according to the evaluation value of the preset evaluation index and the preset weight of the preset evaluation index, the quality comprehensive score of the monitoring data of the energy storage power station can be calculated, the comprehensive rating of the monitoring data of the energy storage power station is realized, the operation condition of the power station can be intuitively obtained by a user, the user can quickly make management measures according to the quality comprehensive score of the monitoring data of the energy storage power station, and the safe, stable and efficient operation of the energy storage power station is ensured.
As shown in FIG. 2, the embodiment also provides a quality evaluation system for monitoring data of the energy storage power station, which comprises an acquisition module, a processing module, a database module, an analysis module, a feedback module, an estimation module, a calculation module and a display module.
And the acquisition module is used for acquiring monitoring data of the energy storage power station. The monitoring data of the energy storage power station comprises a monitoring value of a quantitative element and a monitoring value of a variable element; the monitoring value of the quantitative element and the monitoring value of the variable element are detailed in the quality evaluation method of the monitoring data of the energy storage power station, and are not described herein.
The processing module is used for carrying out standardized processing on the monitored value of the variable element to obtain a standardized value of the variable element and generating a processing signal; specifically, the processing module is used for carrying out unified conversion processing on the received variable element monitoring values in a metering unit to obtain standardized values of the variable elements; and the system is also used for sending the standardized value of the variable element to the analysis module and sending the processing signal to the feedback module. For the periodic monitoring data acquisition process of the energy storage power station, processing signals are periodically generated and transmitted to the feedback module, and the purpose of the periodic monitoring data acquisition process is to ensure that acquisition items are real data collected in a network connection state, each processing of each acquisition item generates one processing signal, and all the processing signals are transmitted to the feedback module.
The database module is used for pre-storing a preset threshold value of the variable element; the analysis module is used for carrying out abnormal analysis on the standardized values of the variable elements; preferably, the preset threshold values of the variable elements are pre-stored in the database module in the form of a data table; the preset threshold value of the variable element comprises a design standard threshold value, a maximum value data value and a minimum value data value of the variable element; the maximum value data value is obtained by multiplying the design standard threshold value of the variable element by the maximum value coefficient, and the minimum value data value is obtained by multiplying the design standard threshold value of the variable element by the minimum value coefficient.
The analysis module is used for carrying out abnormal analysis on the standardized value of the variable element to obtain an abnormal analysis result, and sending the abnormal analysis result to the estimation module. The abnormal analysis result comprises the occurrence times that the standardized value of the variable element exceeds a preset threshold value of a prestored variable element, the occurrence times of blank data and the occurrence times of dead number abnormality.
The feedback module is used for receiving and generating a network connection signal set according to the processing signals; specifically, when the processing signal received by the feedback module is empty, generating a network connection signal of a number 1, namely, representing that the processing signal sent by the processing module is not received; when the processing signal received by the feedback module is non-empty, generating a network connection signal of digital 0, namely, representing that the processing signal sent by the processing module is received; then summarizing all the network connection signals of the number 1 and all the network connection signals of the number 0 to obtain a network connection signal set; the feedback module is further configured to send the network connection signal set to the estimation module.
And the estimation module is used for determining an estimation value of a preset estimation index according to the network connection signal set and the abnormal analysis result. The preset evaluation indexes comprise a network interruption index, a maximum value abnormal index, a minimum value abnormal index, an air count index and a dead number abnormal index; specifically, according to the occurrence times or the duty ratio of the network connection signals of the number 1 in the network connection signal set, determining an evaluation value of a network interruption index; and respectively determining an evaluation value of the maximum value abnormal index, an evaluation value of the minimum value abnormal index, an evaluation value of the air number index and an evaluation value of the dead number abnormal index according to the abnormal analysis result.
The calculation module is used for calculating and obtaining the quality comprehensive score of the monitoring data of the energy storage power station according to the evaluation value of the preset evaluation index and by combining a preset data quality evaluation formula, and then obtaining the quality evaluation result of the monitoring data of the energy storage power station.
The display module is used for displaying the evaluation value of the preset evaluation index and the quality evaluation result of the monitoring data of the energy storage power station.
The embodiment also provides a quality evaluation device for monitoring data of an energy storage power station, which comprises: a memory for storing a computer program; and the processor is used for realizing the quality evaluation method of the monitoring data of the energy storage power station when executing the computer program. The processor, when executing the computer program, implements the steps of the quality evaluation method of the monitoring data of the energy storage power station, for example: collecting monitoring data of an energy storage power station; the monitoring data of the energy storage power station comprises monitoring values of variable elements; carrying out standardization processing on the monitoring value of the variable element to obtain a standardized value of the variable element, and generating a processing signal; carrying out anomaly analysis on the standardized value of the variable element to obtain an anomaly analysis result; generating a network connection signal set according to the processing signals; determining an evaluation value of a preset evaluation index according to the network connection signal set and the abnormal analysis result; and according to the evaluation value of the preset evaluation index, calculating to obtain the quality comprehensive score of the monitoring data of the energy storage power station by combining a preset data quality evaluation formula, and obtaining the quality evaluation result of the monitoring data of the energy storage power station.
Alternatively, the processor may implement functions of each module in the above system when executing the computer program, for example: the acquisition module is used for acquiring monitoring data of the energy storage power station; the monitoring data of the energy storage power station comprises monitoring values of variable elements; the processing module is used for carrying out standardized processing on the monitored value of the variable element to obtain a standardized value of the variable element and generating a processing signal; the analysis module is used for carrying out abnormal analysis on the standardized value of the variable element to obtain an abnormal analysis result; the feedback module is used for generating a network connection signal set according to the processing signals; the evaluation module is used for determining an evaluation value of a preset evaluation index according to the network connection signal set and the abnormal analysis result; the calculation module is used for calculating and obtaining the quality comprehensive score of the monitoring data of the energy storage power station according to the evaluation value of the preset evaluation index and by combining a preset data quality evaluation formula, so as to obtain the quality evaluation result of the monitoring data of the energy storage power station; and the display module is used for displaying the evaluation value of the preset evaluation index and the quality evaluation result of the monitoring data of the energy storage power station.
The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to accomplish the present embodiment, for example. The one or more modules/units may be a series of computer program instruction segments capable of performing a predetermined function, the instruction segments describing the execution of the computer program in a quality assessment device for monitoring data of the energy storage power station.
For example, the computer program may be divided into an acquisition module, a processing module, an analysis module, a feedback module, an estimation module, a calculation module and a display module, where each module specifically functions as follows: the acquisition module is used for acquiring monitoring data of the energy storage power station; the monitoring data of the energy storage power station comprises monitoring values of variable elements; the processing module is used for carrying out standardized processing on the monitored value of the variable element to obtain a standardized value of the variable element and generating a processing signal; the analysis module is used for carrying out abnormal analysis on the standardized value of the variable element to obtain an abnormal analysis result; the feedback module is used for generating a network connection signal set according to the processing signals; the evaluation module is used for determining an evaluation value of a preset evaluation index according to the network connection signal set and the abnormal analysis result; the calculation module is used for calculating and obtaining the quality comprehensive score of the monitoring data of the energy storage power station according to the evaluation value of the preset evaluation index and by combining a preset data quality evaluation formula, so as to obtain the quality evaluation result of the monitoring data of the energy storage power station; and the display module is used for displaying the evaluation value of the preset evaluation index and the quality evaluation result of the monitoring data of the energy storage power station.
The quality evaluation device of the monitoring data of the energy storage power station can be computing devices such as a desktop computer, a notebook computer, a palm computer and a cloud server. The quality assessment device for the energy storage plant monitoring data may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the above is merely an example of a quality assessment device for monitoring data of an energy storage power station and is not limiting of the quality assessment device for monitoring data of an energy storage power station, and may comprise more components than those described above, or may be combined with certain components, or different components, e.g. the quality assessment device for monitoring data of an energy storage power station may further comprise an input-output device, a network access device, a bus, etc.
The processor may be a central processing unit (CentralProcessingUnit, CPU), other general purpose processors, digital signal processors (DigitalSignalProcessor, DSP), application specific integrated circuits (ApplicationSpecificIntegratedCircuit, ASIC), off-the-shelf programmable gate arrays (Field-ProgrammableGateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the quality assessment device for the energy storage plant monitoring data, and various interfaces and lines are used to connect the various parts of the quality assessment device for the entire energy storage plant monitoring data.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the quality assessment device for monitoring data of the energy storage plant by running or executing the computer program and/or module stored in the memory and invoking the data stored in the memory.
The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SmartMediaCard, SMC), secure digital (SecureDigital, SD) card, flash card (FlashCard), at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The embodiment also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps of the quality evaluation method of the monitoring data of the energy storage power station when being executed by a processor. The modules/units integrated into the quality assessment system for monitoring data of the energy storage power station may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product.
Based on such understanding, the implementation of all or part of the flow in the quality evaluation method of the monitoring data of the energy storage power station according to the present embodiment may also be accomplished by instructing related hardware through a computer program, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of the quality evaluation method of the monitoring data of the energy storage power station when the computer program is executed by a processor. The computer program comprises computer program code, and the computer program code can be in a source code form, an object code form, an executable file or a preset intermediate form and the like.
The computer readable storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, and so forth.
It should be noted that the computer readable storage medium may include content that is subject to appropriate increases and decreases as required by jurisdictions and by jurisdictions in which such computer readable storage medium does not include electrical carrier signals and telecommunications signals.
According to the quality evaluation method of the monitoring data of the energy storage power station, the evaluation value of the preset evaluation index is determined through the occurrence times or the duty ratio of the network interrupt connection signals and the analysis result of the monitoring value of the variable element, and the quality comprehensive score of the monitoring data of the energy storage power station is calculated according to the preset data quality evaluation formula, so that the quality evaluation of the monitoring data of the energy storage power station is realized; the quality comprehensive score of the monitoring data of the energy storage power station is higher, the overall quality of the monitoring data is higher, and the uploading quality of the data networking is better; the quality rating of the monitoring data of the power station is conveniently carried out by a user, so that the running condition of the power station is intuitively felt, and the management and maintenance of the power station are facilitated according to the evaluation result.
According to the invention, the comprehensive score of the power station is calculated according to the dimensions of time, the power station and the like, so that a user can conveniently control the quality of the detection data of the power station, the running condition of the power station can be intuitively felt through the data, and the user can conveniently adjust the work according to the quality evaluation result; specifically, when the quality comprehensive score of the monitoring data of the energy storage power station is calculated according to the power station dimension, the monitoring data evaluation of the same variable elements of the energy storage power stations with different names can be met; when the quality comprehensive score of the monitoring data of the energy storage power station is calculated according to the time dimension, the quality comprehensive rating of the monitoring data of the energy storage power station in a preset time period is realized; meanwhile, query of the evaluation value of the preset evaluation index of the energy storage power station is supported.
The above embodiment is only one of the implementation manners capable of implementing the technical solution of the present invention, and the scope of the claimed invention is not limited to the embodiment, but also includes any changes, substitutions and other implementation manners easily recognized by those skilled in the art within the technical scope of the present invention.
Claims (10)
1. The quality evaluation method for the monitoring data of the energy storage power station is characterized by comprising the following steps of:
collecting monitoring data of an energy storage power station; the monitoring data of the energy storage power station comprises monitoring values of variable elements;
carrying out standardization processing on the monitoring value of the variable element to obtain a standardized value of the variable element, and generating a processing signal;
carrying out anomaly analysis on the standardized value of the variable element to obtain an anomaly analysis result;
generating a network connection signal set according to the processing signals;
determining an evaluation value of a preset evaluation index according to the network connection signal set and the abnormal analysis result;
and according to the evaluation value of the preset evaluation index, calculating to obtain the quality comprehensive score of the monitoring data of the energy storage power station by combining a preset data quality evaluation formula, and obtaining the quality evaluation result of the monitoring data of the energy storage power station.
2. The method of claim 1, wherein the monitored values of the variable elements include parent circuit operational monitoring data of the energy storage power station and child circuit operational monitoring data of the energy storage power station.
3. The method for evaluating the quality of monitoring data of an energy storage power station according to claim 1, wherein the process of generating a network connection signal set according to the processing signal is as follows:
if the processing signal is empty, generating a network connection signal of a number 1;
if the processing signal is not empty, generating a network connection signal of a number 0;
and summarizing the network connection signals of the number 0 and the network connection signals of the number 1 to obtain the network connection signal set.
4. The method for evaluating the quality of monitoring data of an energy storage power station according to claim 3, wherein the process of performing an anomaly analysis on the standardized values of the variable elements to obtain an anomaly analysis result is specifically as follows:
comparing the standardized value of the variable element with a preset threshold value of a prestored variable element, and recording the occurrence times of the standardized value of the variable element exceeding the preset threshold value of the prestored variable element;
the preset threshold value of the prestored variable element comprises a maximum value data value and a minimum value data value;
the occurrence times of the standardized value of the variable element exceeding the pre-stored preset threshold value of the variable element comprises the occurrence times of the standardized value of the variable element being larger than the maximum data value and the occurrence times of the standardized value of the variable element being smaller than the minimum data value;
performing blank data inspection on the standardized value of the variable element to obtain the occurrence times of blank data;
carrying out dead number abnormality test on the standardized value of the variable element to obtain the occurrence times of dead number abnormality;
the process of obtaining occurrence times of dead number abnormality by carrying out dead number abnormality test on the standardized value of the variable element comprises the following steps:
if the standardized values of the variable elements with continuous preset numbers in the preset time period are consistent, the standardized values of the variable elements with the preset numbers are dead numbers; recording the number of times of occurrence of dead numbers in the standardized values of all variable elements, and obtaining the occurrence times of the dead number abnormality.
5. The method of claim 4, wherein the predetermined evaluation index includes a network outage index, a maximum anomaly index, a minimum anomaly index, an air count index, and a dead number anomaly index.
6. The method for evaluating the quality of monitoring data of an energy storage power station according to claim 5, wherein the process of determining the evaluation value of the preset evaluation index according to the network connection signal set and the anomaly analysis result is specifically as follows:
determining an evaluation value of a network interruption index according to the duty ratio of the network connection signal of the number 1 in the network connection signal set;
determining an evaluation value of a maximum abnormality index according to the ratio of the number of occurrences of the standardized value of the variable element greater than the maximum data value to the number of standardized values of the variable element;
determining an evaluation value of an abnormal minimum value index according to the ratio of the occurrence times of the standardized value of the variable element smaller than the minimum value data value to the number of standardized values required by the variable;
determining an evaluation value of an air count index according to the ratio of the occurrence times of the blank data to the number of the standardized values required by the variables;
and determining an evaluation value of the death number abnormality index according to the ratio of the occurrence times of the death number abnormality to the number of the standardized values of the variable elements.
7. The method for evaluating the quality of monitoring data of an energy storage power station according to claim 6, wherein the preset data quality evaluation formula is:
E＝w 1 a+w 2 b+w 3 c+w 4 d+w 5 e
w 1 +w 2 +w 3 +w 4 +w 5 ＝1
e is the quality comprehensive score of the monitoring data of the energy storage power station; w (w) 1 The weight of the network interruption index is given; w (w) 2 The weight of the maximum value abnormality index; w (w) 3 The weight of the abnormal index of the minimum value; w (w) 4 The weight of the space index; w (w) 5 The weight of the index of abnormal dead number; a is an evaluation value of a network interruption index; b is the evaluation value of the maximum value abnormality index; c is an evaluation value of the minimum value abnormality index; d is the evaluation value of the space index; e is the evaluation value of the death number abnormality index.
8. A quality assessment system for monitoring data of an energy storage power station, comprising:
the acquisition module is used for acquiring monitoring data of the energy storage power station; the monitoring data of the energy storage power station comprises monitoring values of variable elements;
the processing module is used for carrying out standardized processing on the monitored value of the variable element to obtain a standardized value of the variable element and generating a processing signal;
the analysis module is used for carrying out abnormal analysis on the standardized value of the variable element to obtain an abnormal analysis result;
the feedback module is used for generating a network connection signal set according to the processing signals;
the evaluation module is used for determining an evaluation value of a preset evaluation index according to the network connection signal set and the abnormal analysis result;
the calculation module is used for calculating and obtaining the quality comprehensive score of the monitoring data of the energy storage power station according to the evaluation value of the preset evaluation index and by combining a preset data quality evaluation formula, so as to obtain the quality evaluation result of the monitoring data of the energy storage power station;
and the display module is used for displaying the evaluation value of the preset evaluation index and the quality evaluation result of the monitoring data of the energy storage power station.
9. A quality assessment device for monitoring data of an energy storage power station, comprising:
a memory for storing a computer program;
a processor for implementing the steps of a method for quality assessment of monitoring data of an energy storage power station according to any one of claims 1-7 when executing said computer program.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of a method for quality assessment of monitoring data of an energy storage power station according to any one of claims 1-7.
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| CN117175567A (en) * | 2023-09-05 | 2023-12-05 | 南方电网调峰调频(广东)储能科技有限公司 | Method and system for abnormal positioning and reliability evaluation of energy storage power station equipment |
| CN117175567B (en) * | 2023-09-05 | 2024-03-22 | 南方电网调峰调频(广东)储能科技有限公司 | Method and system for abnormal positioning and reliability evaluation of energy storage power station equipment |
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