CN117557334B - Method and system for collecting and analyzing power data in power spot transaction - Google Patents
Method and system for collecting and analyzing power data in power spot transaction Download PDFInfo
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Abstract
The invention discloses a method and a system for collecting and analyzing electric power data in electric power spot transaction, and belongs to the technical field of data collection and analysis; by carrying out modularized data monitoring and preprocessing on the existing electric power spot transaction, various data of monitoring statistics are standardized and normalized, and reliable data support can be provided for the standard analysis of the electric power spot transaction data in the same subsequent monitoring period; by implementing data monitoring and data processing analysis on the aspects of the transaction electric quantity and the transaction unit price condition and the historical electricity selling transaction data of the electricity seller, the statistics of data in different dimensions and the expansion and utilization of data in different dimensions are realized, and the diversity and reliability of the standardization assessment of the electric power spot transaction order are effectively improved; the invention is used for solving the technical problems of poor reliability of power data processing supervision in the power spot transaction caused by single power data acquisition dimension and single processing analysis mode in the power spot transaction in the existing scheme.
Description
Technical Field
The invention relates to the technical field of data acquisition and analysis, in particular to a method and a system for acquiring and analyzing electric power data in electric power spot transaction.
Background
Power off-the-shelf transactions refer to a form of transaction in the power market where power producers, consumers and internal institutions can conduct instant transactions that allow participants to conduct instant purchases between actual electricity demand and supply, such that energy power off-the-shelf transactions are typically conducted through a power market platform where respondents and sellers can submit trade orders to conduct transactions according to market prices and rules.
Through retrieval, the publication number is CN113191854A, the name is a power market spot transaction method and device, and the method considers the objective fact that the single-day power transaction data volume is huge and complex due to the electric quantity decomposition curve in a single day, calculates the average value of the power transaction average unit price corresponding to all the power transaction orders in a period of time and the difference value of the power transaction average unit price corresponding to each power transaction order in the period of time through computer equipment, and determines that the power transaction order is abnormal when the difference value is larger than a preset threshold value, and displays the power transaction order to monitoring personnel. Because the power transaction orders determined to be abnormal are screened through rules set by the monitoring personnel, a large amount of screening time of the monitoring personnel is saved, and the monitoring personnel can find collusion quotation behaviors possibly existing in the daily temporary spot transaction conveniently.
The existing power data acquisition and analysis scheme in the power spot transaction has a certain defect in implementation, and only the power data of the power spot transaction is acquired based on a single dimension and subjected to single-mode data processing analysis, so that the reliability of power data processing supervision in the power spot transaction is poor.
Disclosure of Invention
The invention aims to provide a method and a system for collecting and analyzing power data in power spot transaction, which are used for solving the technical problems of poor reliability of power data processing supervision in power spot transaction caused by single power data collecting dimension and single processing and analyzing mode in the power spot transaction in the existing scheme.
The aim of the invention can be achieved by the following technical scheme:
a method for collecting and analyzing power data in power spot transaction comprises the following steps:
Carrying out transaction data monitoring statistics on real-time electric power spot transaction orders within a preset monitoring period, and identifying and combining and sequencing electric power spot transaction order implementation data to obtain an order data processing set;
Carrying out standardization evaluation of different dimensions on the electric power spot trade trading orders of the trading according to the trading time, the trading electric quantity and the trading unit price in the order data processing set to obtain an evaluation data set containing order standardization evaluation data of different dimensions;
and dynamically alarming, managing and prompting transaction behaviors corresponding to the power spot transaction orders of the transactions according to the order specification evaluation data of different dimensionalities in the evaluation data set.
Preferably, the step of acquiring the order data processing set includes:
acquiring an order number in a real-time electric power spot transaction order, setting the order number as an identification mark, traversing the electric power spot transaction order, and acquiring an electricity seller account, an electricity buyer account, a transaction electric quantity, a transaction unit price and a transaction time;
sequentially extracting the numerical values of an electricity seller account, a buying account, a transaction amount, a transaction price and a transaction time in sequence, and combining to obtain an order key data array;
All the order key data arrays in the same monitoring period are arranged and combined according to the sequence of the transaction time to obtain an order data processing set, and the order data processing set is uploaded to a transaction auditing platform.
Preferably, the normalized evaluation of different dimensions is performed on the power spot trade deal orders of the deals, including:
Acquiring the transaction time in the order data processing set, setting all power spot transaction request data before the transaction time and within the same monitoring period as a selected data set, acquiring the transaction electric quantity and the transaction unit price in the order data processing set to implement validity screening on the selected data set, marking the electricity selling parties with the card-hanging request electric quantity not lower than the transaction electric quantity and not higher than the card-hanging request unit price of the transaction unit price as selected electricity selling parties, counting the total number of the selected electricity selling parties, and carrying out classification judgment to obtain first order specification evaluation data.
Preferably, if the total number of the selected electricity sellers is 0, generating a current specification label;
If the total number of the selected electricity selling parties is not 0, generating a tracing instruction, acquiring the transmission distances between different selected electricity selling parties and the buying parties in the order according to the tracing instruction, arranging all the transmission distances in an ascending order according to the transmission distance values, and matching the arranged transmission distances with the transmission distances of the order in sequence;
If the arranged power transmission distances are not smaller than the order power transmission distance, generating a current standard label; if at least one of the arranged power transmission distances is smaller than the order power transmission distance, generating a current nonstandard label;
the current canonical tag or the current non-canonical tag forms the first order canonical assessment data.
Preferably, acquiring an electricity seller account number in an order key data array to be audited, and acquiring corresponding historical electricity seller transaction data according to the electricity seller account number;
performing validity audit on the historical electricity selling transaction data, and if the historical electricity selling transaction data is empty, generating a historical invalid audit instruction;
if the historical electricity selling transaction data is not empty, generating a historical effective auditing instruction, acquiring all the historical transaction electricity quantity and the historical transaction unit price in the historical electricity selling transaction data according to the historical effective auditing instruction, and acquiring corresponding historical transaction electricity quantity median and historical transaction unit price median according to all the historical transaction electricity quantity and the historical transaction unit price;
Obtaining all the value of the element of the amount of the exchange and all the value of the element of the unit price of the exchange in the key data array of all the orders in the monitoring period, and obtaining the corresponding median value of the amount of the exchange and the median value of the unit price of the exchange in the monitoring period according to the value of the element of the amount of the exchange and the value of the element of the unit price of the exchange.
Preferably, a transaction evaluation value PGk corresponding to the power spot transaction order is obtained through calculation according to a historical invalid audit instruction through an invalid audit formula PGk = [ CJk/CJk0 ]; wherein k=1, 2; PG1 is an evaluation value of the amount of the delivery, and PG2 is an evaluation value of the delivery; CJ1 is the value of the element of the amount of the transaction in the key data array of the order to be audited, CJ2 is the value of the element of the unit of the transaction in the key data array of the order to be audited; CJ10 is the median value of the amount of the delivered electricity in the same monitoring period, CJ20 is the median value of the amount of the delivered electricity in the same monitoring period.
Preferably, a corresponding transaction evaluation value PGk = [ (CJk/CJk 10) - (CJk 0/CJk) of the power spot transaction order is calculated and obtained through a valid auditing formula according to a historical valid auditing instruction; wherein k=1, 2; PG1 is an evaluation value of the amount of the delivery, and PG2 is an evaluation value of the delivery; CJ1 is the value of the element of the amount of the transaction in the key data array of the order to be audited, CJ2 is the value of the element of the unit of the transaction in the key data array of the order to be audited; CJ10 is the median value of the amount of the delivered electricity in the same monitoring period, CJ20 is the median value of the amount of the delivered electricity in the same monitoring period; CJ110 is the median of the historical amount of the transaction, and CJ210 is the median of the historical unit price.
Preferably, when evaluating the standardization of the power spot transaction orders from different aspects according to the transaction evaluation value, comparing the transaction electric quantity evaluation value and the transaction price evaluation value with the corresponding transaction electric quantity evaluation range and transaction price evaluation range respectively to obtain second order standardization evaluation data consisting of a transaction electric quantity normal label or a transaction electric quantity abnormal label, a transaction price normal label or a transaction price abnormal label;
the first order specification evaluation data and the second order specification evaluation data form an evaluation data set and are uploaded to a transaction auditing platform.
In order to solve the above problems, the present invention further provides a system for collecting and analyzing power data in a power spot transaction, including:
the transaction order statistics processing module is used for carrying out transaction data monitoring statistics on real-time electric power spot transaction orders in a preset monitoring period, and carrying out data identification and combined sequencing on the electric power spot transaction orders to obtain an order data processing set;
the transaction order specification evaluation module is used for carrying out different-dimension normalization evaluation on the electric power spot transaction orders of the transaction according to the transaction time, the transaction electric quantity and the transaction unit price in the order data processing set to obtain an evaluation data set containing order specification evaluation data of different dimensions;
and the transaction order alarm prompting module is used for dynamically alarming and managing and prompting transaction behaviors corresponding to the electric power spot transaction orders according to the order specification evaluation data of different dimensionalities in the evaluation data set.
In order to solve the above problems, the present invention also provides a storage medium including at least one processor; and a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the method for collecting and analyzing the power data in the power spot transaction.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, modularized data monitoring and preprocessing are implemented on the existing electric power spot transaction, so that various data of monitoring statistics are standardized and normalized, and reliable data support can be provided for the normalized analysis of the electric power spot transaction data in the same subsequent monitoring period; the method has the advantages that the power spot transaction request data in the monitoring period are screened and statistically analyzed from two bargain conditions of the bargain quantity and the bargain price, whether a seller with better condition than the bargain seller is determined, analysis and evaluation on abnormal behaviors of the transaction are realized from the bargain condition aspect, and the diversity of the bargain data monitoring expansion utilization is improved.
According to the invention, through implementing data monitoring and data processing analysis in terms of the transaction electric quantity and the transaction unit price condition and the historical electricity selling transaction data of the electricity seller, the statistics of data in different dimensions and the expansion and utilization of data in different dimensions can be realized, the diversity and reliability of the standardization assessment of the electric power spot transaction orders can be effectively improved, and meanwhile, reliable data support can be provided for the alarming prompt of the subsequent irregular electric power spot transaction orders.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method for collecting and analyzing power data in a power spot transaction according to the present invention.
FIG. 2 is a flow chart diagram of a process for obtaining the amount of exchange and the price of exchange in an order data set to perform validity screening on a selected data set according to the present invention.
FIG. 3 is a block flow diagram of a method for verifying the validity of historical electricity sales transaction data according to the present invention.
Fig. 4 is a block diagram of a power data collection and analysis system in a power spot transaction according to the present invention.
Fig. 5 is a schematic structural diagram of a computer device for implementing a method for collecting and analyzing power data in a power spot transaction.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are obtained by persons skilled in the art without any inventive effort, are within the scope of the present invention based on the embodiments of the present invention.
Example 1
As shown in fig. 1, the present invention is a method for collecting and analyzing power data in a power spot transaction, including:
Carrying out transaction data monitoring statistics on real-time power spot transaction orders within a preset monitoring period, wherein the current day-ahead market takes 15 minutes as a transaction period, and 96 periods are carried out every day; the real-time market is based on the electric energy transaction of one hour before the time of the delivery, the unit of the monitoring period in the embodiment of the invention is minutes, specifically can be three minutes, and the recognition and the combined sequencing of the implementation data of the electric power spot transaction order form are carried out to obtain an order data processing set; comprising the following steps:
acquiring an order number in a real-time electric power spot transaction order, setting the order number as an identification mark, traversing the electric power spot transaction order, and acquiring an electricity seller account, an electricity buyer account, a transaction electric quantity, a transaction unit price and a transaction time;
sequentially extracting the numerical values of an electricity seller account, a buying account, a transaction amount, a transaction price and a transaction time in sequence, and combining to obtain an order key data array;
all the order key data arrays in the same monitoring period are arranged and combined according to the sequence of the transaction time to obtain an order data processing set and uploaded to a transaction auditing platform;
in the embodiment of the invention, the modularized data monitoring and preprocessing are implemented on the existing power spot transaction, so that various data of the monitoring statistics are standardized and normalized, and reliable data support can be provided for the normalized analysis of the power spot transaction data in the same subsequent monitoring period.
Carrying out standardization evaluation of different dimensions on the electric power spot trade trading orders of the trading according to the trading time, the trading electric quantity and the trading unit price in the order data processing set to obtain an evaluation data set containing order standardization evaluation data of different dimensions; comprising the following steps:
Acquiring the transaction time in the order data processing set, setting all the power spot transaction request data before the transaction time and within the same monitoring period as a selected data set, and screening the existing power spot transaction request data according to the transaction time and the same monitoring period, so that the influence of the difference and the price fluctuation caused by the influence of external factors on different time can be reduced;
As shown in fig. 2, acquiring the amount of the successful deal and the price of the successful deal in the order data processing set to perform validity screening on the selected data set, marking the electricity seller with the amount of the listing request electric quantity not lower than the amount of the successful deal and not higher than the price of the successful deal as the selected electricity seller, counting the total number of the selected electricity seller, and performing classification judgment;
If the total number of the selected electricity sellers is 0, generating a current specification label;
If the total number of the selected electricity selling parties is not 0, generating a tracing instruction, acquiring the transmission distances between different selected electricity selling parties and the buying parties in the order according to the tracing instruction, arranging all the transmission distances in an ascending order according to the transmission distance values, and matching the arranged transmission distances with the transmission distances of the order in sequence; the transmission distance is determined according to the geographic coordinates of the selected electricity seller and the electricity buying party in the order of the deal;
if the arranged power transmission distances are not smaller than the order power transmission distance, generating a current standard label;
If at least one of the arranged power transmission distances is smaller than the order power transmission distance, generating a current nonstandard label;
The current specification label or the current non-specification label forms first order specification evaluation data;
in the embodiment of the invention, the power spot transaction request data in the monitoring period is screened and statistically analyzed from two bargain conditions of the bargain quantity and the bargain unit price to determine whether a seller with better condition than the bargain seller is present, so that analysis and evaluation on abnormal behavior of the transaction are implemented from the bargain condition aspect, and the diversity of the bargain data monitoring expansion and utilization is improved.
Acquiring an electricity seller account number in an order key data array to be audited, and acquiring corresponding historical electricity selling transaction data according to the electricity seller account number;
As shown in fig. 3, validity auditing is performed on the historical electricity selling transaction data, and if the historical electricity selling transaction data is empty, a historical invalid auditing instruction is generated;
if the historical electricity selling transaction data is not empty, generating a historical effective auditing instruction, acquiring all the historical transaction electricity quantity and the historical transaction unit price in the historical electricity selling transaction data according to the historical effective auditing instruction, and acquiring corresponding historical transaction electricity quantity median and historical transaction unit price median according to all the historical transaction electricity quantity and the historical transaction unit price;
Acquiring all the value of the power element and all the value of the unit price element in all the order key data arrays in the monitoring period, and acquiring the corresponding value of the median of the power and the value of the median of the unit price in the monitoring period according to all the value of the power element and all the value of the unit price element, wherein the calculation of the value of the median of the power and the value of the median of the unit price does not contain the value of the element in the order key data arrays to be audited;
in the embodiment of the invention, by monitoring and data processing from the historical electricity selling transaction data of the electricity selling party, effective data support can be provided for the subsequent analysis and evaluation of the standardization of the next transaction from the aspect of historical transaction;
Calculating and obtaining a transaction evaluation value PGk corresponding to the power spot transaction order according to a historical invalidation audit instruction through an invalidation audit formula PGk = [ CJk/CJk0 ]; wherein k=1, 2; PG1 is an evaluation value of the amount of the delivery, and PG2 is an evaluation value of the delivery; CJ1 is the value of the element of the amount of the transaction in the key data array of the order to be audited, CJ2 is the value of the element of the unit of the transaction in the key data array of the order to be audited; CJ10 is the median value of the amount of the delivered electricity in the same monitoring period, CJ20 is the median value of the amount of the delivered electricity in the same monitoring period;
Calculating and obtaining a corresponding transaction evaluation value PGk = [ (CJk/CJk 10) - (CJk 0/CJk) ] of the power spot transaction order according to the historical effective auditing instruction through an effective auditing formula; wherein k=1, 2; PG1 is an evaluation value of the amount of the delivery, and PG2 is an evaluation value of the delivery; CJ1 is the value of the element of the amount of the transaction in the key data array of the order to be audited, CJ2 is the value of the element of the unit of the transaction in the key data array of the order to be audited; CJ10 is the median value of the amount of the delivered electricity in the same monitoring period, CJ20 is the median value of the amount of the delivered electricity in the same monitoring period; CJ110 is the median of the historical amount of the transaction, CJ210 is the median of the historical unit price;
It should be noted that, according to the effective audit command of history or ineffective audit command implemented by the evaluation value of the transaction of the calculation alternative;
When the standardability of the power spot transaction order is evaluated according to the transaction evaluation value from different aspects, the transaction electric quantity evaluation value and the transaction price evaluation value are respectively compared with the corresponding transaction electric quantity evaluation range and the transaction price evaluation range for classification;
The method comprises the steps that a transaction electric quantity evaluation range and a transaction unit price evaluation range are determined according to a historical transaction electric quantity maximum value, a historical transaction unit price maximum value and a transaction electric quantity maximum value and a transaction unit price maximum value of an electric seller of a corresponding order, wherein the transaction electric quantity maximum value and the transaction unit price maximum value in the same monitoring period of the same day, the maximum values comprise a maximum value and a minimum value, and a maximum range interval corresponding to the transaction electric quantity and the transaction unit price is set as a transaction electric quantity evaluation range and a transaction unit price evaluation range according to a range interval formed by a plurality of maximum values;
If the estimated value of the amount of the transaction belongs to the estimated range of the amount of the transaction and the estimated value of the amount of the transaction belongs to the estimated range of the unit price of the transaction, generating a normal label of the amount of the transaction and a normal label of the unit price of the transaction;
if the estimated value of the amount of the transaction does not belong to the estimated range of the amount of the transaction and the estimated value of the amount of the transaction does not belong to the estimated range of the unit price of the transaction, generating an abnormal label of the amount of the transaction and an abnormal label of the unit price of the transaction;
the normal label of the amount of the successful traffic or the abnormal label of the unit price of the successful traffic forms second order standard evaluation data;
the first order specification evaluation data and the second order specification evaluation data form an evaluation data set and are uploaded to a transaction auditing platform;
In the prior art, the method is different from the method for monitoring and analyzing abnormal behaviors of the transaction by singly utilizing the average value of the average unit price of the electric power transaction, and has the defects of single monitoring dimension and poor accuracy caused by single data utilization; according to the embodiment of the invention, through carrying out data monitoring and data processing analysis on the aspects of the transaction electric quantity and the transaction unit price condition and the historical electricity selling transaction data of the electricity seller, the statistics of data in different dimensions and the expansion and utilization of data in different dimensions can be realized, the diversity and reliability of the standardization assessment of the electric power spot transaction orders can be effectively improved, and meanwhile, reliable data support can be provided for the alarm prompt of the follow-up irregular electric power spot transaction orders.
Dynamic warning and management and control prompting are carried out on the transaction behaviors corresponding to the power spot transaction orders of the transactions according to the order specification evaluation data of different dimensionalities in the evaluation data set; comprising the following steps:
Acquiring first order specification evaluation data and second order specification evaluation data in the evaluation data set, and traversing the first order specification evaluation data and the second order specification evaluation data respectively, wherein if the traversing result of the first order specification evaluation data comprises a current nonstandard label or the traversing result of the second specification evaluation data only comprises a transaction electricity quantity abnormal label or a transaction unit price abnormal label, an order suspicious label is generated;
If the result of the first order specification evaluation data traversal comprises a current non-specification label and the result of the second specification evaluation data traversal only comprises a transaction amount abnormal label or a transaction unit price abnormal label, generating an order mild abnormal label;
If the result of the first order specification evaluation data traversal comprises a current non-specification label and the result of the second specification evaluation data traversal comprises a transaction amount abnormal label and a transaction unit price abnormal label, generating an order severe abnormal label;
The order suspicious label, the order light abnormal label or the order heavy abnormal label form risk assessment data corresponding to the power spot transaction order of the transaction, and a risk prompt and a management prompt of corresponding levels are generated to a manager according to the order suspicious label, the order light abnormal label or the order heavy abnormal label in the risk assessment data.
In the embodiment of the invention, the analysis results of the monitoring data of different dimensions in the early stage are combined to implement integral standardability evaluation classification on the electric power spot transaction orders of the transactions from different dimensions, so that more efficient and diversified classification effects can be realized, meanwhile, the monitoring end can acquire the degree of abnormality and the type causing the abnormality, the monitoring end can intervene and process timely and efficiently, and the efficiency and convenience of subsequent processing of the electric power spot transaction orders of the abnormalities are improved.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula which is obtained by acquiring a large amount of data and performing software simulation through simulation software and is closest to the actual situation.
Example 2
As shown in fig. 4, the invention is a power data acquisition and analysis system in power spot transaction, comprising a transaction order statistics processing module, a transaction order specification evaluation module and a transaction order alarm prompting module;
the transaction order statistics processing module is used for carrying out transaction data monitoring statistics on real-time electric power spot transaction orders in a preset monitoring period, and carrying out data identification and combined sequencing on the electric power spot transaction orders to obtain an order data processing set;
the transaction order specification evaluation module is used for carrying out different-dimension normalization evaluation on the electric power spot transaction orders of the transaction according to the transaction time, the transaction electric quantity and the transaction unit price in the order data processing set to obtain an evaluation data set containing order specification evaluation data of different dimensions;
and the transaction order alarm prompting module is used for dynamically alarming and managing and prompting transaction behaviors corresponding to the electric power spot transaction orders according to the order specification evaluation data of different dimensionalities in the evaluation data set.
Example 3
Fig. 5 is a schematic structural diagram of a computer device for implementing a method for collecting and analyzing electric power data in an electric power spot transaction according to an embodiment of the present invention.
The computer device may include a processor, memory and a bus, and may also include a computer program stored in the memory and executable on the processor, such as a program for a power data collection analysis method in a power spot transaction.
The memory includes at least one type of readable storage medium, including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory may in some embodiments be an internal storage unit of a computer device, such as a removable hard disk of the computer device. The memory may also be an external storage device of the computer device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), etc. that are provided on the computer device. Further, the memory may also include both internal storage units and external storage devices of the computer device. The memory may be used not only for storing application software installed in the computer device and various types of data, such as codes of a program of a power data collection analysis method in a power spot transaction, but also for temporarily storing data that has been output or is to be output.
The processor may in some embodiments be comprised of integrated circuits, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged in the same location or in different locations, including one or more central processing units (Central Processing unit, CPUs), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor is a Control Unit (Control Unit) of the computer device, connects the respective components of the entire computer device using various interfaces and lines, executes or executes programs or modules stored in a memory (for example, a program of a power data collection analysis method in a power spot transaction, etc.), and invokes data stored in the memory to execute various locations of the computer device and process the data.
The bus may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between said memory and at least one processor or the like.
Fig. 5 shows only a computer device having components, and it will be understood by those skilled in the art that the structure shown in fig. 5 is not limiting of the computer device and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the computer device may further include a power source (such as a battery) for powering the various components, preferably the power source may be logically connected to the at least one processor by a power management device such that charge management, discharge management, and power consumption management are achieved by the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The computer device may also include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described in detail herein.
Further, the computer device may also include a network interface, which may optionally include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the computer device and other computer devices.
The computer device may optionally further comprise a user interface, which may be a Display, an input unit such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the computer device and for displaying a visual user interface.
It should be understood that the above-described embodiments are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
A program of a power data collection analysis method in a power spot transaction stored in a memory in a computer device is a combination of instructions.
Specifically, the specific implementation method of the above instruction by the processor may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to fig. 4, which are not repeated herein.
Further, the modules/units integrated with the computer device may be stored in a computer readable storage medium if implemented in the form of software location units and sold or used as stand-alone products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable 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).
The invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of a computer device, causes a computer to perform the method of the invention.
In the several embodiments provided in the present invention, it should be understood that the disclosed method may be implemented in other manners. For example, the above-described embodiments of the invention are merely illustrative, e.g., the division of modules is merely a logical location division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each location module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software location modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (5)
1. The method for collecting and analyzing the power data in the power spot transaction is characterized by comprising the following steps:
Carrying out transaction data monitoring statistics on real-time electric power spot transaction orders within a preset monitoring period, and identifying and combining and sequencing electric power spot transaction order implementation data to obtain an order data processing set;
Carrying out standardization evaluation of different dimensions on the electric power spot trade trading orders of the trading according to the trading time, the trading electric quantity and the trading unit price in the order data processing set to obtain an evaluation data set containing order standardization evaluation data of different dimensions;
The method comprises the steps of acquiring the transaction time in an order data processing set, setting all power spot transaction request data before the transaction time and within the same monitoring period as a selected data set, acquiring the transaction electric quantity and the transaction unit price in the order data processing set to carry out validity screening on the selected data set, marking electricity sellers which are not lower than the card-hanging request electric quantity of the transaction electric quantity and not higher than the card-hanging request unit price of the transaction unit price as selected electricity sellers, counting the total number of the selected electricity sellers, and carrying out classification judgment;
If the total number of the selected electricity sellers is 0, generating a current specification label;
If the total number of the selected electricity selling parties is not 0, generating a tracing instruction, acquiring the transmission distances between different selected electricity selling parties and the buying parties in the order according to the tracing instruction, arranging all the transmission distances in an ascending order according to the transmission distance values, and matching the arranged transmission distances with the transmission distances of the order in sequence;
If the arranged power transmission distances are not smaller than the order power transmission distance, generating a current standard label; if at least one of the arranged power transmission distances is smaller than the order power transmission distance, generating a current nonstandard label;
The current specification label or the current non-specification label forms first order specification evaluation data;
Acquiring an electricity seller account number in an order key data array to be audited, and acquiring corresponding historical electricity selling transaction data according to the electricity seller account number;
performing validity audit on the historical electricity selling transaction data, and if the historical electricity selling transaction data is empty, generating a historical invalid audit instruction;
if the historical electricity selling transaction data is not empty, generating a historical effective auditing instruction, acquiring all the historical transaction electricity quantity and the historical transaction unit price in the historical electricity selling transaction data according to the historical effective auditing instruction, and acquiring corresponding historical transaction electricity quantity median and historical transaction unit price median according to all the historical transaction electricity quantity and the historical transaction unit price;
Acquiring all the value of the element of the amount of the exchange and all the value of the element of the unit price of the exchange in the key data array of all the orders in the monitoring period, and acquiring the median value of the amount of the exchange and the median value of the unit price of the exchange corresponding to the value of the element of the amount of the exchange and all the value of the element of the unit price of the exchange in the monitoring period;
Calculating and obtaining a transaction evaluation value PGk corresponding to the power spot transaction order according to a historical invalidation audit instruction through an invalidation audit formula PGk = [ CJk/CJk0 ]; wherein k=1, 2; PG1 is an evaluation value of the amount of the delivery, and PG2 is an evaluation value of the delivery; CJ1 is the value of the element of the amount of the transaction in the key data array of the order to be audited, CJ2 is the value of the element of the unit of the transaction in the key data array of the order to be audited; CJ10 is the median value of the amount of the delivered electricity in the same monitoring period, CJ20 is the median value of the amount of the delivered electricity in the same monitoring period;
Calculating and obtaining a corresponding transaction evaluation value PGk = [ (CJk/CJk 10) - (CJk 0/CJk) ] of the power spot transaction order according to the historical effective auditing instruction through an effective auditing formula; wherein k=1, 2; PG1 is an evaluation value of the amount of the delivery, and PG2 is an evaluation value of the delivery; CJ1 is the value of the element of the amount of the transaction in the key data array of the order to be audited, CJ2 is the value of the element of the unit of the transaction in the key data array of the order to be audited; CJ10 is the median value of the amount of the delivered electricity in the same monitoring period, CJ20 is the median value of the amount of the delivered electricity in the same monitoring period; CJ110 is the median of the historical amount of the transaction, CJ210 is the median of the historical unit price;
and dynamically alarming, managing and prompting transaction behaviors corresponding to the power spot transaction orders of the transactions according to the order specification evaluation data of different dimensionalities in the evaluation data set.
2. The method of claim 1, wherein the step of obtaining the order data processing set comprises:
acquiring an order number in a real-time electric power spot transaction order, setting the order number as an identification mark, traversing the electric power spot transaction order, and acquiring an electricity seller account, an electricity buyer account, a transaction electric quantity, a transaction unit price and a transaction time;
sequentially extracting the numerical values of an electricity seller account, a buying account, a transaction amount, a transaction price and a transaction time in sequence, and combining to obtain an order key data array;
All the order key data arrays in the same monitoring period are arranged and combined according to the sequence of the transaction time to obtain an order data processing set, and the order data processing set is uploaded to a transaction auditing platform.
3. The method for collecting and analyzing power data in a power spot transaction according to claim 1, wherein when the standardization of the power spot transaction orders is evaluated from different aspects according to the transaction evaluation value, the transaction amount evaluation value and the transaction price evaluation value are compared with the corresponding transaction amount evaluation range and transaction price evaluation range respectively to obtain second order standardization evaluation data consisting of a transaction amount normal label or a transaction amount abnormal label, a transaction price normal label or a transaction price abnormal label;
the first order specification evaluation data and the second order specification evaluation data form an evaluation data set and are uploaded to a transaction auditing platform.
4. A system for collecting and analyzing power data in a power spot transaction, applied to a method for collecting and analyzing power data in a power spot transaction as claimed in any one of claims 1 to 3, comprising:
the transaction order statistics processing module is used for carrying out transaction data monitoring statistics on real-time electric power spot transaction orders in a preset monitoring period, and carrying out data identification and combined sequencing on the electric power spot transaction orders to obtain an order data processing set;
the transaction order specification evaluation module is used for carrying out different-dimension normalization evaluation on the electric power spot transaction orders of the transaction according to the transaction time, the transaction electric quantity and the transaction unit price in the order data processing set to obtain an evaluation data set containing order specification evaluation data of different dimensions;
and the transaction order alarm prompting module is used for dynamically alarming and managing and prompting transaction behaviors corresponding to the electric power spot transaction orders according to the order specification evaluation data of different dimensionalities in the evaluation data set.
5. A storage medium comprising at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a method of power data acquisition analysis in a power spot transaction as claimed in any one of claims 1 to 3.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112381561A (en) * | 2020-10-28 | 2021-02-19 | 国电南瑞南京控制系统有限公司 | Multi-dimensional market analysis method and system under electric power spot market |
| CN113191854A (en) * | 2021-05-26 | 2021-07-30 | 广东电网有限责任公司 | Electric power market spot transaction method and device |
| CN116630766A (en) * | 2023-07-26 | 2023-08-22 | 山东中慧强企信息科技有限公司 | Multi-source information data processing system, method and equipment |
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| JP6767561B1 (en) * | 2019-11-26 | 2020-10-14 | 東北電力株式会社 | Power trading support systems, power trading support devices, and programs |
| KR20220069702A (en) * | 2020-11-20 | 2022-05-27 | 한국전력공사 | Electricity bidding transaction method and electricity transaction control system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112381561A (en) * | 2020-10-28 | 2021-02-19 | 国电南瑞南京控制系统有限公司 | Multi-dimensional market analysis method and system under electric power spot market |
| CN113191854A (en) * | 2021-05-26 | 2021-07-30 | 广东电网有限责任公司 | Electric power market spot transaction method and device |
| CN116630766A (en) * | 2023-07-26 | 2023-08-22 | 山东中慧强企信息科技有限公司 | Multi-source information data processing system, method and equipment |
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