CN117913974A - Daily electric quantity monitoring and analyzing system - Google Patents
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Abstract
The invention discloses a daily electricity quantity monitoring and analyzing system which comprises an online power grid and a data center, wherein the online power grid comprises first service data and second service data; the data center comprises a first data center, a second data center and a switching area; the first data center and the second data center respectively comprise an analysis layer, a sharing layer and a source pasting layer; the first data center station calculates the first service data in real time and performs business penetration query on the first service data in different industries, the second data center station calculates the second service data in real time and performs business penetration query on the second service data in different industries, and the calculated result and the service data realize data exchange and sharing of the two-stage data center stations through the UEP. According to the invention, the daily electricity accuracy is further improved by means of electricity generation amount acquisition rate monitoring, centralized power plant matching rate monitoring, checking/mutation monitoring according to the power plant detail empty value/ring ratio, checking/mutation monitoring according to the unit empty value/ring ratio, electricity quantity monitoring, statistical electricity quantity monitoring and the like, and the service scene of daily electricity generation quantity is deepened.
Description
Technical Field
The application relates to the technical field of power grids, in particular to a daily electricity quantity monitoring and analyzing system.
Background
Under the background of the purchase and sale synchronization, checking the authenticity and the accuracy of the electric quantity data becomes an indispensable work for guaranteeing the accuracy of the electric quantity data. The current synchronous electric quantity monitoring of the network power grid mainly depends on manual check, the workload is large, and the check result accuracy is low. In order to further improve the accuracy of daily electricity quantity and deepen the business scene of daily electricity generation quantity, a daily electricity quantity monitoring model is built based on daily electricity quantity acquisition data, the quality of electricity quantity data is automatically judged, and a repairing method is provided; and constructing a daily electricity quantity prediction model, and developing daily electricity quantity prediction analysis work.
In the process of implementing the present invention, the inventor finds that the following problems exist in the prior art:
1. The manual daily electricity quantity checking workload is large, and human judgment errors are easy to occur, so that the accuracy of daily electricity quantity data is affected.
2. The manual daily electricity quantity checking is low in efficiency, and the reason of the problem that the electricity quantity deviation cannot be located at the first time can not be found.
Disclosure of Invention
In view of the above problems, the application provides a daily electricity monitoring and analyzing system, which is used for solving the technical problems of large workload, low efficiency and difficulty in finding deviation reasons of the manual electricity checking.
To achieve the above object, the present inventors provide a daily electricity monitoring and analyzing system, comprising:
The network power grid comprises first service data and second service data;
The data center comprises a first data center, a second data center and a switching area; the first data center and the second data center respectively comprise an analysis layer, a sharing layer and a source pasting layer; the analysis layer is provided with a daily electricity quantity monitoring model for automatically judging the quality of electricity quantity data in the first service data and the second service data; the first data center station and the second data center station perform data interaction through the exchange area; the first data center station acquires the first service data from the online power grid through a data calling service, and the second data center station acquires the second service data from the online power grid through a data calling service;
the first data center station calculates the first service data in real time and performs business penetration query, the second data center station calculates the second service data in real time and performs business penetration query, and the calculated result and the service data realize data exchange and sharing of the two-stage data center stations through the UEP.
Further, the first service data and the second service data comprise generating capacity data and power consumption data;
When the first service data and the second service data are calculated in real time, the generated energy data and the power consumption data are processed;
Processing the power generation amount data includes: the gateway electric quantity data, the spontaneous electric quantity data, the comprehensive plant electric quantity, the centralized public power plant generating capacity and the distributed power supply power generation data and the centralized self-contained power plant power generation data of the second data center are integrated through the first data center; after finishing the processing of various generated energy data, the headquarter data center is synchronized to the online power grid system, and classified and displayed according to the schedule data of different dimensions of detail, index and time sequence;
Processing the electricity consumption data comprises the following steps: the customer electricity consumption of the line loss system is collected through a central office data center station, the line loss electricity is calculated by combining the electricity consumption data, and the self-generating automatic and comprehensive station electricity consumption is collected to measure the whole society electricity consumption; after finishing data processing, the headquarter data center is synchronized to the online power grid system, and classified and displayed according to the schedule data of different dimensions of detail, index and time sequence.
Further, after the processing of the generated energy data and the used electric energy data is completed, the method further comprises the steps of:
The collected electric quantity data is corrected by various means of process parameter adjustment, acquisition strategy change, electric energy generation amount restoration and electric quantity restoration, so that the electric quantity data is closer to the actual situation.
Further, after the processing of the generated energy data and the used electric energy data is completed, the method further comprises the steps of:
And automatically performing loop ratio check, null value check and electric quantity mutation check on the first service data and the second service data through a system.
Further, the generated energy data comprises public power plant generated energy data, self-contained power plant generated energy data, pumped storage generated energy data and distributed generated energy data.
Further, the parameter adjustment includes:
Setting comprehensive factory power consumption: the power consumption rate of the plant is comprehensively calculated by adopting a power consumption detail table of the last month in the month 1; the 10 th month adopts a power consumption table of the last month to synthesize the power consumption rate of the plant, and other dates automatically acquire the numerical value of the last day and support manual modification;
Setting a spontaneous self-use coefficient: the month 1 adopts the month-up spontaneous power consumption/month-up spontaneous power consumption, the month 10 adopts the month-up spontaneous power consumption/month-up spontaneous power consumption, and other dates automatically acquire the day-up numerical value and support manual modification;
Parameter checking: and the comprehensive factory electricity coefficient is not more than 30% and is automatically inspected and maintained by the power plant overhaul record.
Further, the fetch policies include multiple policies and a single policy;
The strategies are sequentially taking numbers according to a set number taking sequence, the encountered electric quantity is empty, negative and the ring ratio is more than 100%, one numerical value is automatically taken down, and when logical electric quantity data cannot be taken according to the sequence, internet surfing electric quantity reverse-pushing calculation is started;
the single strategy is used for forcedly acquiring the first electric quantity data and does not perform any check.
Further, the power generation amount repair includes:
restoration of power generation capacity of a public power plant: support the manual restoration generated energy, comprehensive plant electricity = power generation comprehensive plant electricity rate, network electricity = generated energy-comprehensive plant electricity;
And (5) restoring the generated energy of the self-contained power plant: support manual restoration generated energy and online electric quantity, comprehensive factory = power generation = comprehensive factory electricity rate, spontaneous self-use electric quantity = generated energy-online electric quantity-comprehensive factory;
and repairing the generated energy of the distributed power plant.
Further, the electricity consumption restoration includes:
And (3) detail restoration: supporting repair of comprehensive factory use, spontaneous self-use and line loss electric quantity according to specifications in 133 industries;
one-key repair: performing one-key restoration on the power consumption of the whole society within a certain range according to the power generation and reception ring ratio;
Customer electricity consumption acquisition: supporting manual synchronization of customer electricity consumption data of the latest line loss system;
Recalculating the accumulated value: and recalculating and summarizing the accumulated electric quantity in the history period according to the history data restoration adjustment condition.
Further, the data monitoring includes:
monitoring the power generation amount acquisition rate: the method comprises the steps of accessing a dispatching result, a dispatching list bottom, dispatching integration and an access rate of marketing list bottom data to the power generation amount of the centralized power plant;
Monitoring the matching rate of the centralized power plant; the match rate of the centralized power plant and TMR, OMS, marketing system power plant or metering point;
Monitoring according to the power plant detail empty value, checking the loop ratio and monitoring the mutation; negative or null is null abnormal; the ring ratio exceeding + -20% is abnormal; 1.5 is a mutation abnormality 24 hours beyond the installed capacity, and is recorded as a mutation abnormality when the mutation abnormality conflicts with the ring ratio abnormality;
Performing null value monitoring, loop ratio checking and mutation monitoring according to units; monitoring abnormal conditions of power generation, internet power, comprehensive factory use and spontaneous self-power consumption;
And (3) electric quantity monitoring: monitoring and analyzing the electricity consumption of the whole society according to the constitution and the electricity consumption in daily and monthly frequencies; judging that the comprehensive factory electricity consumption and the spontaneous self-electricity consumption are less than 0 as abnormality;
And (3) electric quantity statistics monitoring: and respectively comparing and analyzing the accumulated power consumption and the statistical power consumption according to the power plant details and units.
Compared with the prior art, the method and the device have the advantages that the collection, integration, calculation and sharing of service data of the integrated end of the network power grid are realized through the data center, and the problem that daily electricity quantity data cannot be acquired manually is solved. The method utilizes the mass data storage and calculation resources of the middle data platform to realize the real-time and efficient 'on-site calculation' and 'penetration query' of the measured data, adopts a platform adaptation (the middle data platform is the middle data platform in the Ali and Hua) mode, and realizes the on-site calculation and the penetration query of the measured data in the second data middle platform (namely the middle data platform at the provincial side). The calculation result and the business data realize the data exchange and sharing of two-stage data middle stations through the UEP, and the headquarter data middle stations construct data service and uniformly support the network power grid business application. According to the technical scheme, the daily electricity quantity monitoring model is built in the analysis layer of the data center, the quality of electricity quantity data can be automatically judged through the daily electricity quantity monitoring model, and daily electricity quantity prediction analysis work can be carried out according to the daily electricity quantity prediction model.
The foregoing summary is merely an overview of the present application, and may be implemented according to the text and the accompanying drawings in order to make it clear to a person skilled in the art that the present application may be implemented, and in order to make the above-mentioned objects and other objects, features and advantages of the present application more easily understood, the following description will be given with reference to the specific embodiments and the accompanying drawings of the present application.
Drawings
The drawings are only for purposes of illustrating the principles, implementations, applications, features, and effects of the present application and are not to be construed as limiting the application.
In the drawings of the specification:
FIG. 1 is a schematic diagram of a daily amount monitoring system according to an embodiment;
FIG. 2 is a schematic diagram of a power generation data transmission link according to an embodiment;
Fig. 3 is a schematic diagram of a power consumption data transmission link according to an embodiment;
Detailed Description
In order to describe the possible application scenarios, technical principles, practical embodiments, and the like of the present application in detail, the following description is made with reference to the specific embodiments and the accompanying drawings. The embodiments described herein are only for more clearly illustrating the technical aspects of the present application, and thus are only exemplary and not intended to limit the scope of the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of the phrase "in various places in the specification are not necessarily all referring to the same embodiment, nor are they particularly limited to independence or relevance from other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the technical features mentioned in each embodiment may be combined in any manner to form a corresponding implementable technical solution.
Unless defined otherwise, technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application pertains; the use of related terms herein is for the purpose of describing particular embodiments only and is not intended to limit the application.
In the description of the present application, the term "and/or" is a representation for describing a logical relationship between objects, which means that three relationships may exist, for example a and/or B, representing: there are three cases, a, B, and both a and B. In addition, the character "/" herein generally indicates that the front-to-back associated object is an "or" logical relationship.
In the present application, terms such as "first" and "second" are used merely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual number, order, or sequence of such entities or operations.
Without further limitation, the use of the terms "comprising," "including," "having," or other like open-ended terms in this application are intended to cover a non-exclusive inclusion, such that a process, method, or article of manufacture that comprises a list of elements does not include additional elements in the process, method, or article of manufacture, but may include other elements not expressly listed or inherent to such process, method, or article of manufacture.
As in the understanding of "review guidelines," the expressions "greater than", "less than", "exceeding" and the like are understood to exclude this number in the present application; the expressions "above", "below", "within" and the like are understood to include this number. Furthermore, in the description of embodiments of the present application, the meaning of "a plurality of" is two or more (including two), and similarly, the expression "a plurality of" is also to be understood as such, for example, "a plurality of" and the like, unless specifically defined otherwise.
In the description of embodiments of the present application, spatially relative terms such as "center," "longitudinal," "transverse," "length," "width," "thickness," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "vertical," "top," "bottom," "inner," "outer," "clockwise," "counter-clockwise," "axial," "radial," "circumferential," etc., are used herein as a basis for the description of the embodiments or as a basis for the description of the embodiments, and are not intended to indicate or imply that the devices or components referred to must have a particular position, a particular orientation, or be configured or operated in a particular orientation and therefore should not be construed as limiting the embodiments of the present application.
Unless specifically stated or limited otherwise, the terms "mounted," "connected," "affixed," "disposed," and the like as used in the description of embodiments of the application should be construed broadly. For example, the "connection" may be a fixed connection, a detachable connection, or an integral arrangement; the device can be mechanically connected, electrically connected and communicated; it can be directly connected or indirectly connected through an intermediate medium; which may be a communication between two elements or an interaction between two elements. The specific meaning of the above terms in the embodiments of the present application can be understood by those skilled in the art to which the present application pertains according to circumstances.
Referring to fig. 1 to 3, the present embodiment provides a daily electricity monitoring and analyzing system. As shown in fig. 1, the daily electricity consumption monitoring and analyzing system includes an on-line power grid and a data center, wherein the on-line power grid is a power grid service platform erected on the internet, and the on-line power grid includes first service data and second service data, wherein the first service data may be company headquarter service data, and the second service data may be provincial service data (i.e., provincial service data). The first business data comprises power grid planning data, planning investment data, project management data, statistical management data, assessment evaluation data, collaborative service data, development basic business data and development GIS layer data. The second business data includes electrical calculation model data, electrical calculation results and calculation process data, data monitoring and correction data, associated configuration data, and system management data. The data center comprises a first data center, a second data center and a switching area, wherein the first data center can be a headquarter data center, and the second data center can be a provincial data center. The first data center and the second data center respectively comprise an analysis layer, a sharing layer and a source pasting layer. The analysis layer comprises calculation index data, and the sharing layer comprises archive model data, a business data standard table and measurement model data; the source layer of the first data center comprises basic building service data, ERP service data and other primary (headquarter) system service data; the source layer of the second data center includes equipment, marketing, dispatching source network charge main equipment files, EMS, configuration, acquisition and measurement acquisition data, ERP project execution, cloud regulation and control, equipment professional projects and the like. The analysis layer is provided with a daily electricity quantity monitoring model for automatically judging the quality of electricity quantity data in the first service data and the second service data; the first data center station and the second data center station perform data interaction through the exchange area; the first data center station acquires the first service data from the online power grid through a data calling service, and the second data center station acquires the second service data from the online power grid through a data calling service;
the first data center station calculates the first service data in real time and performs business penetration query, the second data center station calculates the second service data in real time and performs business penetration query, and the calculated result and the service data realize data exchange and sharing of the two-stage data center stations through the UEP.
The data center platform is used for realizing the collection, integration, calculation and sharing of service data of the network power grid integration end, and the problem that daily electricity quantity data cannot be acquired manually is solved. The method utilizes the mass data storage and calculation resources of the middle data platform to realize the real-time and efficient 'on-site calculation' and 'penetration query' of the measured data, adopts a platform adaptation (the middle data platform is the middle data platform in the Ali and Hua) mode, and realizes the on-site calculation and the penetration query of the measured data in the second data middle platform (namely the middle data platform at the provincial side). The calculation result and the business data realize the data exchange and sharing of two-stage data middle stations through the UEP, and the headquarter data middle stations construct data service and uniformly support the network power grid business application. According to the technical scheme, the daily electricity quantity monitoring model is built in the analysis layer of the data center, the quality of electricity quantity data can be automatically judged through the daily electricity quantity monitoring model, and daily electricity quantity prediction analysis work can be carried out according to the daily electricity quantity prediction model.
As shown in fig. 2 and 3, in this embodiment, a data transmission link for generating electricity and using electricity is provided for performing solar electricity monitoring. The data transmission mainly relies on an online power grid, a headquarter data center platform and a regulation cloud platform to realize integration and penetration of data. Compared with the traditional manual transcription mode, the accuracy of data acquisition and the timeliness of data transmission are greatly improved. In the above embodiment, the first service data and the second service data include power generation amount data and power consumption amount data; and when the first service data and the second service data are calculated in real time, the generated energy data and the power consumption data are processed. And after the processing of the generated energy data and the used electricity amount data is completed, the method further comprises the steps of:
The collected electric quantity data is corrected by various means of process parameter adjustment, acquisition strategy change, electric energy generation amount restoration and electric quantity restoration, so that the electric quantity data is closer to the actual situation.
The above embodiments will be specifically described below with respect to a first data center serving as a headquarter data center, a first service data center serving as headquarter service data, a second data center serving as a provincial data center, and a second service data center serving as provincial service data.
The generating capacity data processing mode comprises the following steps: the gateway electric quantity data, the spontaneous self-power consumption data, the comprehensive plant electric quantity, the centralized public power plant generating capacity and the distributed power supply power generation data and the centralized self-power plant power generation data of the provincial data of the central station are integrated through the headquarter data headquarter; after finishing the processing of various generated energy data, the headquarter data center is synchronized to the online power grid system, and classified and displayed according to the schedule data of different dimensions such as details, indexes, time sequences and the like;
the electricity consumption data processing mode comprises the following steps: the customer electricity consumption of the line loss system is collected through a central office data center station, the line loss electricity is calculated by combining the electricity consumption data, and the self-generating automatic and comprehensive station electricity consumption is collected to measure the whole society electricity consumption; after finishing data processing, the headquarter data center is synchronized to an online power grid system, and classified and displayed according to different dimension progress data such as details, indexes, time sequences and the like;
After the electricity generation amount data processing is completed, the collected electricity generation amount data is corrected by means of process parameter adjustment, number taking strategy change, electricity generation amount restoration, electricity consumption amount restoration and the like, so that the electricity generation amount data is ensured to be closer to the actual situation, and the accuracy of daily electricity generation amount data is improved; the system automatically performs the work of loop ratio check, null value check, electric quantity mutation check and the like, so that the manual data check time is greatly shortened, and the data check efficiency is further improved.
1. Electric quantity source
(1) Public power plant
Generating capacity: scheduling results, scheduling list bottom, scheduling points, marketing list bottom, internet reverse thrust
And (5) surfing the internet to obtain electric quantity: gateway electric quantity, scheduling result and integral electric quantity
Station electricity consumption: calculated value (Power generation-Internet surfing)
(2) Self-contained power plant
Generating capacity: scheduling results, schedule bottom, schedule score, marketing bottom, estimation (self-help coefficient of power generation of last month/day of the month)
And (5) surfing the internet to obtain electric quantity: gateway electric quantity, scheduling result and integral electric quantity
Station electricity consumption: calculated value (Power generation comprehensive station service power consumption)
Spontaneous self-use: marketing collection, marketing results, calculated values (Power Generation-Internet surfing-factory)
(3) Pumped storage
Generating capacity: scheduling results, scheduling list bottom, scheduling points, marketing list bottom, internet reverse thrust
And (5) surfing the internet to obtain electric quantity: gateway electric quantity, scheduling result and integral electric quantity
Purchase network electric quantity: taking the reverse electric quantity
Power consumption: generating capacity + purchasing net-factory-surfing net
Station electricity consumption: comprehensive plant power consumption
( Remarks: whether the wholesale electricity price is that the industry uses the total (consumed-purchased network) electric quantity; if not, summarize the electricity consumption )
(4) Distributed type
Full surfing: generating capacity = internet power, spontaneous use = 0;
All self-use: generating capacity = spontaneous use, surfing electricity quantity = 0;
and (5) residual electricity is connected with the network: spontaneous use = power generation-power to internet; power generation takes a larger value of forward and reverse directions
Abnormality control: the charge is negative or exceeds the installed capacity for 24 hours and is set to 0.
2. Process parameters
(1) Comprehensive power utilization rate: the power consumption rate of the plant is comprehensively calculated by adopting a power consumption detail table of the last month in the month 1; the 10 th month adopts a power consumption table of last month to synthesize the power consumption rate of the plant, and other dates automatically acquire the numerical value of the last day and support manual modification.
(2) Spontaneous self-use coefficient: the month 1 adopts the last month self-power consumption/last month self-power consumption, the month 10 adopts the last month self-power consumption/last month self-power consumption (calculate the estimated generating capacity), and other dates automatically acquire the last day value and support manual modification.
(3) Parameter checking: and the comprehensive factory coefficient is not more than 30% and is automatically inspected and maintained by power plant overhaul records.
3. Fetch strategy
(1) A variety of strategies: sequentially taking the numbers according to a set number taking sequence, automatically taking one numerical value when the encountered electric quantity is empty, negative and the ring ratio is more than 100%, and starting the internet surfing electric quantity back-pushing calculation when logical electric quantity data cannot be obtained according to the sequence;
(2) Single strategy: the method is a forced access strategy, the first electric quantity data is forcedly acquired, and no check is performed.
4. Power generation repair
(1) Public power plant: support the manual restoration generated energy, comprehensive factory = power generation comprehensive factory electricity rate, network electric quantity = generated energy-comprehensive factory electricity;
(2) Self-contained power plant: support the manual restoration generated energy, online electric quantity, wherein the comprehensive factory uses = electricity generation to synthesize the factory power consumption, spontaneous electricity consumption = generated energy-online electric quantity-comprehensive factory use;
(3) Distributed power plant: because of the large number, manual repair is not carried out.
5. Power restoration
(1) And (3) detail restoration: supporting repair of comprehensive factory use, spontaneous self-use and line loss electric quantity according to specifications in 133 industries;
(2) One-key repair: the power consumption of the whole society of the company is saved by performing one-key restoration according to the power generation ring ratio;
(3) Customer electricity consumption acquisition: supporting manual synchronization of customer electricity consumption data of the latest line loss system;
(4) Recalculating the accumulated value: and recalculating and summarizing the accumulated electric quantity in the history period according to the history data restoration adjustment condition.
6. Data monitoring
(1) Monitoring the power generation amount acquisition rate: the method comprises the steps of indicating the access rate of the power generation amount of the centralized power plant to the scheduling result, the scheduling table bottom, the scheduling integration and the marketing table bottom data, and judging the access as long as one of the power generation amount of the centralized power plant is accessed;
(2) Monitoring the matching rate of the centralized power plant; the matching rate of the centralized power plant and the TMR, OMS, marketing system power plant or metering point is indicated, and the matching can be judged as being matched only by matching one of the power plants or metering points;
(3) Monitoring according to the power plant detail empty value, checking the loop ratio and monitoring the mutation; negative or null is null abnormal; the ring ratio exceeding + -20% is abnormal; 1.5 is a mutation abnormality 24 hours beyond the installed capacity, and is recorded as a mutation abnormality when the mutation abnormality conflicts with the ring ratio abnormality;
(4) Performing null value monitoring, loop ratio checking and mutation monitoring according to units; monitoring abnormal conditions of power generation, internet power, comprehensive factory power consumption and spontaneous self-power consumption, wherein the rules are the same;
(5) And (3) electric quantity monitoring: monitoring and analyzing the electricity consumption of the whole society according to the constitution and the electricity supply quantity on the daily frequency and the monthly frequency, wherein the electricity consumption, the electricity supply ring ratio and the electricity generation ring ratio exceed +/-3 percent, and the abnormality is judged; judging that the comprehensive factory electricity consumption and the spontaneous self-electricity consumption are less than 0 as abnormality; judging that the line loss rate is greater than 10% and less than 2% as abnormal;
(6) And (3) electric quantity statistics monitoring: and respectively comparing and analyzing the accumulated power consumption and the statistical power consumption according to the power plant details and units.
In the embodiment, the daily electricity quantity accuracy is further improved through means of electricity generation quantity acquisition rate monitoring, centralized power plant matching rate monitoring, checking/mutation monitoring according to power plant detail empty value/loop ratio, checking/mutation monitoring according to unit empty value/loop ratio, electricity quantity monitoring, statistics electricity quantity monitoring and the like, and the service scene of daily electricity generation quantity is deepened. And through automatic acquisition of T+1 data and power fluctuation analysis (loop ratio check, null value check, power mutation check and the like) in the branch industry, the power analysis work is improved from monthly monitoring to daily monitoring, and the power monitoring and data check efficiency is effectively improved.
Finally, it should be noted that, although the embodiments have been described in the text and the drawings, the scope of the application is not limited thereby. The technical scheme generated by replacing or modifying the equivalent structure or equivalent flow by utilizing the content recorded in the text and the drawings of the specification based on the essential idea of the application, and the technical scheme of the embodiment directly or indirectly implemented in other related technical fields are included in the patent protection scope of the application.
Claims (10)
1. A daily electricity monitoring and analyzing system, comprising:
The network power grid comprises first service data and second service data;
The data center comprises a first data center, a second data center and a switching area; the first data center and the second data center respectively comprise an analysis layer, a sharing layer and a source pasting layer; the analysis layer is provided with a daily electricity quantity monitoring model for automatically judging the quality of electricity quantity data in the first service data and the second service data; the first data center station and the second data center station perform data interaction through the exchange area; the first data center station acquires the first service data from the online power grid through a data calling service, and the second data center station acquires the second service data from the online power grid through a data calling service;
the first data center station calculates the first service data in real time and performs business penetration query, the second data center station calculates the second service data in real time and performs business penetration query, and the calculated result and the service data realize data exchange and sharing of the two-stage data center stations through the UEP.
2. The daily electricity consumption monitoring and analysis system according to claim 1, wherein the first and second business data include electricity generation amount data and electricity consumption amount data;
When the first service data and the second service data are calculated in real time, the generated energy data and the power consumption data are processed;
Processing the power generation amount data includes: the gateway electric quantity data, the spontaneous electric quantity data, the comprehensive plant electric quantity, the centralized public power plant generating capacity and the distributed power supply power generation data and the centralized self-contained power plant power generation data of the second data center are integrated through the first data center; after finishing the processing of various generated energy data, the headquarter data center is synchronized to the online power grid system, and classified and displayed according to the schedule data of different dimensions of detail, index and time sequence;
Processing the electricity consumption data comprises the following steps: the customer electricity consumption of the line loss system is collected through a central office data center station, the line loss electricity is calculated by combining the electricity consumption data, and the self-generating automatic and comprehensive station electricity consumption is collected to measure the whole society electricity consumption; after finishing data processing, the headquarter data center is synchronized to the online power grid system, and classified and displayed according to the schedule data of different dimensions of detail, index and time sequence.
3. The daily electricity consumption monitoring and analyzing system according to claim 2, further comprising the step of, after completing the processing of the electricity generation amount data and the electricity consumption amount data:
The collected electric quantity data is corrected by various means of process parameter adjustment, acquisition strategy change, electric energy generation amount restoration and electric quantity restoration, so that the electric quantity data is closer to the actual situation.
4. The daily electricity consumption monitoring and analyzing system according to claim 2, further comprising the step of, after completing the processing of the electricity generation amount data and the electricity consumption amount data:
And automatically performing loop ratio check, null value check and electric quantity mutation check on the first service data and the second service data through a system.
5. The utility monitoring and analysis system of claim 2, wherein the power generation data includes utility power generation data, self-contained power generation data, pumped storage power generation data, and distributed power generation data.
6. The daily electrical quantity monitoring analysis system of claim 3 wherein the parameter adjustment comprises:
Setting comprehensive factory power consumption: the power consumption rate of the plant is comprehensively calculated by adopting a power consumption detail table of the last month in the month 1; the 10 th month adopts a power consumption table of the last month to synthesize the power consumption rate of the plant, and other dates automatically acquire the numerical value of the last day and support manual modification;
Setting a spontaneous self-use coefficient: the month 1 adopts the month-up spontaneous power consumption/month-up spontaneous power consumption, the month 10 adopts the month-up spontaneous power consumption/month-up spontaneous power consumption, and other dates automatically acquire the day-up numerical value and support manual modification;
Parameter checking: and the comprehensive factory electricity coefficient is not more than 30% and is automatically inspected and maintained by the power plant overhaul record.
7. The daily electricity monitoring and analysis system according to claim 3, wherein the access policies include multiple policies and a single policy;
The strategies are sequentially taking numbers according to a set number taking sequence, the encountered electric quantity is empty, negative and the ring ratio is more than 100%, one numerical value is automatically taken down, and when logical electric quantity data cannot be taken according to the sequence, internet surfing electric quantity reverse-pushing calculation is started;
the single strategy is used for forcedly acquiring the first electric quantity data and does not perform any check.
8. The daily electrical quantity monitoring analysis system according to claim 3, wherein the electrical quantity restoration includes:
restoration of power generation capacity of a public power plant: support the manual restoration generated energy, comprehensive plant electricity = power generation comprehensive plant electricity rate, network electricity = generated energy-comprehensive plant electricity;
And (5) restoring the generated energy of the self-contained power plant: support manual restoration generated energy and online electric quantity, comprehensive factory = power generation = comprehensive factory electricity rate, spontaneous self-use electric quantity = generated energy-online electric quantity-comprehensive factory;
and repairing the generated energy of the distributed power plant.
9. The daily electricity consumption monitoring and analysis system according to claim 3, wherein the electricity consumption restoration includes:
And (3) detail restoration: supporting repair of comprehensive factory use, spontaneous self-use and line loss electric quantity according to specifications in 133 industries;
one-key repair: performing one-key restoration on the power consumption of the whole society within a certain range according to the power generation and reception ring ratio;
Customer electricity consumption acquisition: supporting manual synchronization of customer electricity consumption data of the latest line loss system;
Recalculating the accumulated value: and recalculating and summarizing the accumulated electric quantity in the history period according to the history data restoration adjustment condition.
10. The daily electrical power monitoring analysis system of claim 3, wherein the second business data further comprises data monitoring comprising:
monitoring the power generation amount acquisition rate: the method comprises the steps of accessing a dispatching result, a dispatching list bottom, dispatching integration and an access rate of marketing list bottom data to the power generation amount of the centralized power plant;
Monitoring the matching rate of the centralized power plant; the match rate of the centralized power plant and TMR, OMS, marketing system power plant or metering point;
Monitoring according to the power plant detail empty value, checking the loop ratio and monitoring the mutation; negative or null is null abnormal; the ring ratio exceeding + -20% is abnormal; 1.5 is a mutation abnormality 24 hours beyond the installed capacity, and is recorded as a mutation abnormality when the mutation abnormality conflicts with the ring ratio abnormality;
Performing null value monitoring, loop ratio checking and mutation monitoring according to units; monitoring abnormal conditions of power generation, internet power, comprehensive factory use and spontaneous self-power consumption;
And (3) electric quantity monitoring: monitoring and analyzing the electricity consumption of the whole society according to the constitution and the electricity consumption in daily and monthly frequencies; judging that the comprehensive factory electricity consumption and the spontaneous self-electricity consumption are less than 0 as abnormality;
And (3) electric quantity statistics monitoring: and respectively comparing and analyzing the accumulated power consumption and the statistical power consumption according to the power plant details and units.
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| CN202311668088.XA CN117913974A (en) | 2023-12-07 | 2023-12-07 | Daily electric quantity monitoring and analyzing system |
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