CN117239756A - Power regulation and control system, method, electronic equipment and storage medium - Google Patents
Power regulation and control system, method, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a power regulation and control system, a power regulation and control method, electronic equipment and a storage medium. The system comprises: the power detection module is used for acquiring comprehensive power data of at least one power utilization user in the target power utilization region; the information processing module is used for classifying the electricity utilization users based on the historical comprehensive power data, and determining the user group category of the electricity utilization users so that the regulation and control module regulates and controls the power resources in the target electricity utilization area based on the user group category; and the information processing module is used for processing the current comprehensive power data based on the pre-trained load prediction model to obtain a predicted load, so that the regulation and control module regulates the power load of the corresponding power utilization circuit of the power utilization user based on the predicted load. The problems of lag in regulation and control and poor effect caused by regulation and control of electric power resources based on electricity consumption information in the prior art are solved, the accuracy of electric power regulation and control is improved, and the effect of guaranteeing safe and stable operation of a power grid is achieved.
Description
Technical Field
The present invention relates to the field of power grid technologies, and in particular, to a power regulation system, a power regulation method, an electronic device, and a storage medium.
Background
With the development of power systems, power transportation has become an important component in power grid operation, plays an important role in power system planning, operation and scheduling, and can ensure reliable and economic operation of the power systems through effective power regulation and control.
At present, the power regulation and control mode mainly detects power utilization information in a circuit through circuit detection equipment, and different power resources are distributed for different circuits based on the power utilization information, however, the mode has the problems of hysteresis and poor power regulation and control effect.
Disclosure of Invention
The invention provides a power regulation and control system, a method, electronic equipment and a storage medium, which are used for realizing improvement of accuracy of power regulation and control and ensuring safe and stable operation of a power grid.
According to an aspect of the present invention, there is provided a power conditioning system, the system comprising: the system comprises a power detection module, an information processing module and a regulation and control module; wherein,
the power detection module is used for acquiring comprehensive power data of at least one power utilization user in a target power utilization region and sending the comprehensive power data to the information processing module; wherein the integrated power data comprises historical integrated power data and/or current integrated power data;
The information processing module is used for receiving the historical comprehensive power data sent by the power detection module, classifying the power utilization users based on the historical comprehensive power data, and determining the user group category of the power utilization users so that the regulation and control module regulates and controls the power resources in the target power utilization area based on the user group category;
the information processing module is used for receiving the current comprehensive power data sent by the power detection module, processing the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load, and enabling the regulation and control module to allocate the power load of the using circuit of the corresponding power utilization user based on the predicted load.
According to another aspect of the present invention, there is provided a power regulation method comprising:
acquiring comprehensive power data of at least one electricity user in a target electricity utilization area based on the power detection module, and sending the comprehensive power data to the information processing module; wherein the integrated power data comprises historical integrated power data and/or current integrated power data;
The information processing module receives historical comprehensive power data sent by the power detection module, classifies the power utilization users based on the historical comprehensive power data, and determines a user group class to which the power utilization users belong so that the regulation and control module regulates and controls power resources in the target power utilization area based on the user group class;
and receiving current comprehensive power data sent by the power detection module based on the information processing module, and processing the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load so that the regulation and control module regulates the power load of a using circuit of a corresponding power utilization user based on the predicted load.
According to another aspect of the present invention, there is provided an electronic apparatus including:
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 the power regulation method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the power conditioning method according to any of the embodiments of the present invention.
According to the technical scheme, comprehensive power data of at least one power utilization user in the target power utilization area are obtained through the power detection module; the information processing module classifies the electricity utilization users based on the historical comprehensive power data, and determines the user group category of the electricity utilization users, so that the regulation and control module regulates and controls the power resources in the target electricity utilization area based on the user group category; the information processing module processes the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load, so that the regulation and control module regulates the power load of a corresponding power utilization circuit of a power utilization user based on the predicted load, the problems of lag regulation and control and poor effect caused by regulation and control of power resources based on power utilization information in the prior art are solved, the comprehensive power data of a target power utilization area are acquired through the power detection module, and then classification of user group types is carried out through the information processing module according to the comprehensive power data, so that the regulation and control module carries out self-adaptive regulation and control on the power resources in the target power utilization area based on the user group types. Meanwhile, the information processing module predicts future loads based on the load prediction model, so that the regulating and controlling module adaptively regulates the power load of the using circuit of the corresponding power utilization user based on the predicted loads, the accuracy of power regulation and control is improved, and safe and stable operation of a power grid is ensured.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a power regulation system according to a first embodiment of the present invention;
fig. 2 is a flowchart of a power regulation method according to a second embodiment of the present invention;
FIG. 3 is a flow chart of a power regulation method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing a power regulation method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a schematic structural diagram of a power regulation system according to an embodiment of the present invention, where the embodiment is applicable to a situation of regulating user power, referring to fig. 1, the power regulation system provided in the embodiment includes: the system comprises a power detection module 110, an information processing module 120 and a regulation and control module 130. The following specifically describes the structural composition of the power control system of the present embodiment.
The power detection module 110 is configured to obtain comprehensive power data of at least one power consumer in the target power consumption region, and send the comprehensive power data to the information processing module 120; wherein the integrated power data comprises historical integrated power data and/or current integrated power data;
the information processing module 120 is configured to receive the historical integrated power data sent by the power detection module 110, classify the power users based on the historical integrated power data, and determine a user group category to which the power users belong, so that the regulation and control module 130 regulates and controls the power resources in the target power utilization area based on the user group category;
the information processing module 120 is configured to receive the current integrated power data sent by the power detection module 110, process the current integrated power data based on a pre-trained load prediction model, and obtain a predicted load, so that the control module 130 adjusts the power load of the corresponding circuit for power consumption based on the predicted load.
The power detection module 110 may be a device for performing test, verification, detection and acceptance on power production and grid operation, for example, a transformer test device, an electric energy meter verification device, a transformer metering monitoring and detection device, a relay protection test device, a switch detection device, a running line detection device, and the like. The comprehensive power data includes, but is not limited to, power consumption data, power load data, power supply quantity, power generation capacity, power generation efficiency, circuit operation condition and the like. The user group category can be used for indicating the electricity utilization attribute, such as industrial electricity utilization, agricultural electricity utilization, commercial electricity utilization, resident life electricity utilization and the like, and also can be small-load electricity utilization, medium-load electricity utilization, large-load electricity utilization and the like. The load prediction model may be trained from historical integrated power data for load prediction.
In this embodiment, when the power detection module 110 is started, the power detection module 110 may collect, based on the terminal port, comprehensive power data of each power consumer in the target power consumption area, and then may send the comprehensive power data to the information processing module 120. After receiving the integrated power data sent by the power detection module 110, the information processing module 120 may perform preprocessing on the integrated power data, convert the original integrated power data into effective data, such as cleaning, and process the data including abnormal values, error values, blank information, etc., so as to ensure the integrity and accuracy of the data. Further, the information processing module 120 may classify the user group of the electricity users based on the historical integrated power data, determine the user group category to which the electricity users belong, for example, determine which user group categories are included in the target electricity consumption region according to the electricity load size. The information processing module 120 may send the classification result to the regulation module 130, and the regulation module 130 may adaptively allocate the power resources in the target power consumption area according to the user group category, so as to reduce the load pressure in the circuit. The information processing module 120 may also input the current integrated power data into a pre-trained load prediction model, process the current integrated power data to obtain a predicted load, and send the predicted load to the regulation module 130. The regulation and control module 130 can judge whether overload exists or not based on the predicted load, if overload exists, the power load of the circuit used by the corresponding electricity user can be regulated, so that the load pressure in the circuit is reduced, and the line safety is ensured. The power load of the circuit is allocated while the power resource in the target power utilization area is regulated and controlled in a self-adaptive mode, and reliable guarantee is provided for the safety and reliability of power operation.
On the basis of the above embodiment, the information processing module 120 includes: a data analysis module; wherein,
the data analysis module is used for carrying out safety verification on the comprehensive power data, and when a verification result is detected to be a preset result, the information processing module 120 is enabled to classify power users based on historical comprehensive power data and process current comprehensive power data based on a load prediction model obtained through pre-training;
and the data analysis module is also used for generating early warning prompt information to be fed back to the early warning module for early warning when the check result is detected to be not the preset result.
Wherein, the preset result can be normal.
In this embodiment, a calibration rule may be preset, and the data analysis module performs security calibration on each item of data in the integrated power data based on the calibration rule, and optionally, the calibration rule may include an abnormal calibration rule, an integrity calibration rule, and an validity calibration rule for power information such as electric quantity, power, load, voltage, and current. For example, the load is within a preset range and the amount of electricity is within a set range. Or the data analysis module may perform data analysis on the integrated power data by using a Pearson correlation analysis method, and analyze whether an abnormal value exists in the data, where the abnormal value may refer to a point (observation) different from most of data distribution, if so, the verification result is considered to be abnormal, and if not, the verification result is considered to be normal. If the verification result of the integrated power data is normal, the information processing module 120 continues to classify the power consumer based on the historical integrated power data and process the current integrated power data based on the pre-trained load prediction model. If the verification result is not normal, generating early warning prompt information, and feeding the early warning prompt information back to the early warning module, wherein the early warning module can carry out early warning prompt based on the early warning prompt information.
Based on the above embodiment, the information processing module 120 is further configured to determine the power consumption user information belonging to the same user group category, and transmit the power consumption user information to the storage module, so that the storage module performs classified cloud storage on the power consumption user information based on the user group category.
The electricity utilization user information comprises a user identification and comprehensive power data. The storage module can be a terminal hard disk, and the model of the storage module can be Elements.
In this embodiment, after classifying the historical comprehensive power data by the user group, the information processing module 120 may classify the power users belonging to the same user group category and the comprehensive power data thereof to obtain power user information in different categories, and then transmit the classified power user information to the storage module for storage and backup. The storage module may use cloud computing to classify the electricity usage user information based on the user group categories. The cloud computing refers to distributed processing, parallel processing and grid computing, a huge computing processing program is automatically split into countless smaller subprograms through a network, and then a huge system formed by a plurality of servers is transmitted back to a user after being computed and analyzed, and a network service provider can process tens of millions or even hundreds of millions of information within a few seconds through a cloud computing technology, so that the network service as powerful as a super computer is achieved, and loss of hard disk Elements data of a body terminal can be prevented. And also prevents data loss when the power detection module 110 fails.
Based on the above embodiment, the power detection module 110 is further configured to monitor the storage data in the storage module based on the preset detection condition, and generate the abnormality prompt information to feed back to the early warning module for early warning when the storage abnormality is detected.
Wherein the stored data corresponds to electricity usage user information.
In this embodiment, the power detection module 110 may monitor the stored data in the storage module in real time, for example, detect the stored data by presetting detection conditions, detect whether the data stored in the terminal hard disk is normal, if so, feedback the abnormality prompt information to the early warning module, and remind the data storage abnormality by the early warning module. The early warning module can also determine the early warning level when receiving early warning prompt information or abnormal prompt information, and then early warning is carried out based on the early warning level. For example, if the load is abnormal, setting a first-level early warning, wherein the sound alarm sound intensity is more than 120 dB, and the alarm sound of the alarm can be used for reminding a user of the abnormal load; if the data storage is abnormal, setting a secondary early warning, wherein the sound intensity of the sound warning is more than 110 dB, and reminding the user terminal of the storage state of hard disk Elements.
The early warning module can be an alarm lamp, the light source of the alarm lamp is an ultra-high-brightness solid-state maintenance-free LED light source, the light source has the advantages of energy saving, high light efficiency, long service life, energy saving and environment friendliness, the working mode of the alarm lamp is divided into sound and light, an alarm can be sent out through the alarm lamp, and a user is reminded by utilizing the alarm sound or the light source of the alarm.
On the basis of the above embodiment, the power regulation system further includes: a control panel in communication with the storage module, the power detection module 110; wherein,
the control panel is used for retrieving and displaying the stored data in the storage module based on the triggering operation of the user;
and the control panel is used for receiving and displaying the abnormality prompt information sent by the power detection module 110.
In this embodiment, the control panel may also display the data storage information in real time, so that the user may conveniently view the data information, for example, call the corresponding comprehensive power data according to the user's requirement, and view the power usage situation, the abnormal state, etc. For example, a user may trigger a data view control on the control panel via an input device, retrieve stored data from the storage module that is desired to be viewed, and display the data on the control panel. When the power detection module 110 detects that the storage abnormality exists, abnormality prompt information can be sent to the control panel to be displayed, so as to prompt a user of the abnormal state stored. When detecting that the verification abnormality exists, the data analysis module can send early warning prompt information to the control panel for display, and prompts the abnormal state of the user power.
On the basis of the above embodiment, the information processing module 120 further includes: a model training module; wherein,
and the model training module is used for determining a training sample set based on windowing processing of the comprehensive power data and obtaining a load prediction model based on training of the training sample set.
In this embodiment, after the information processing module 120 receives the integrated power data, the model training module may determine a training sample set according to the integrated power data, and further, based on the training sample set, establish a mathematical model describing a change of the power load with time, to obtain a load prediction model, so that future loads can be predicted by the load prediction model.
Optionally, the model training module is specifically configured to perform windowing on the integrated power data to obtain at least one slice power data, determine a load tag corresponding to the slice power data from the integrated power data based on a time sequence dimension, and determine a training sample based on the slice power data and the load tag corresponding to the slice power data, so as to obtain a training sample set.
In this embodiment, the model training module may use a sliding window to window the integrated power data with the time-series attribute, and divide the integrated power data into a plurality of slice power data. For example, the integrated power data includes (1, 2, 3, 4, 5, 6), the sliding window has a variable of 3, and four slice power data (1, 2, 3), (2, 3, 4), (3, 4, 5), (4, 5, 6) are obtained after division. Further, the load tag corresponding to each slice power data may be determined from the integrated power data based on the time-series dimension, for example, the load data later than and closest to the termination time in the slice power data may be used as the load tag of the slice power data, for example, the load tag of (1, 2, 3) is 4, the load tag of (2, 3, 4) is 5, one slice power data and the corresponding load tag thereof may be used as one training sample, and accordingly, a training sample set including a plurality of training samples may be included.
According to the technical scheme, comprehensive power data of at least one power utilization user in a target power utilization area are obtained through a power detection module; the information processing module classifies the electricity utilization users based on the historical comprehensive power data, and determines the user group category of the electricity utilization users, so that the regulation and control module regulates and controls the power resources in the target electricity utilization area based on the user group category; the information processing module processes the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load, so that the regulation and control module regulates the power load of a corresponding power utilization circuit of a power utilization user based on the predicted load, the problems of lag regulation and control and poor effect caused by regulation and control of power resources based on power utilization information in the prior art are solved, the comprehensive power data of a target power utilization area are acquired through the power detection module, and then classification of user group types is carried out through the information processing module according to the comprehensive power data, so that the regulation and control module carries out self-adaptive regulation and control on the power resources in the target power utilization area based on the user group types. Meanwhile, the information processing module predicts future loads based on the load prediction model, so that the regulating and controlling module adaptively regulates the power load of the using circuit of the corresponding power utilization user based on the predicted loads, the accuracy of power regulation and control is improved, and safe and stable operation of a power grid is ensured.
Example two
As an alternative embodiment of the foregoing embodiment, fig. 2 is a flowchart of a power regulation method according to a second embodiment of the present invention. In particular, reference may be made to the following details.
The power regulation and control system provided by the embodiment of the invention can be composed of a power detection module, an information processing module, a storage module, a control panel, an early warning module and a regulation and control module. As shown in fig. 2, when the power detection module is started, the terminal port can collect the electric quantity data, the historical load data and other data information, and comprehensive power data is obtained through collection. The power detection module can send the comprehensive power number to the storage module for data storage and to the data analysis module for data analysis. And the data analysis module performs real-time data analysis on the comprehensive power data according to the electric quantity load, and when an abnormality is analyzed, an abnormality signal is reported to the control panel for display. When no abnormality is analyzed, the comprehensive power data is transmitted to the information processing module, the information processing module preprocesses the comprehensive power data sample, classifies the user group according to the comprehensive power data, predicts the future load according to the comprehensive power data, and enables the regulation and control module to adaptively allocate power resources according to the classified power load data and the future load, so that the load pressure in the circuit is reduced. The information processing module stores the classified power load data in the storage module in a classified mode, the storage module can be a terminal hard disk, and the classified user group information is stored by utilizing terminal hard disk Elements to prevent the data loss caused by the damage of the power detection module. And uploading the classified power load data to the cloud for storage. Further, the power load data stored in the storage module is monitored in real time through the power detection module, whether the storage is abnormal or not is monitored, when the abnormality is monitored, abnormal information is reported to the control panel to be displayed, the control panel sends a signal to the early warning module, and an alarm is sent out by using the alarm lamp LTE-1101J. And displaying data storage information in the storage module in real time through the control panel, and calling the data to check abnormal states. The information processing module can also monitor the power load state data and the supply output state data in real time; and the information processing module sends the power load state information to the regulation and control module, and the regulation and control module carries out self-adaptive regulation and control on the power. The information processing module can divide the power load time series data through a window, divide the data set into a training set, a verification set and a test set, and establish a load prediction model describing the change of the power load along with time for predicting future loads.
According to the technical scheme, comprehensive power data of at least one power utilization user in a target power utilization area are obtained through a power detection module; the information processing module classifies the electricity utilization users based on the historical comprehensive power data, and determines the user group category of the electricity utilization users, so that the regulation and control module regulates and controls the power resources in the target electricity utilization area based on the user group category; the information processing module processes the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load, so that the regulation and control module regulates the power load of a corresponding power utilization circuit of a power utilization user based on the predicted load, the problems of lag regulation and control and poor effect caused by regulation and control of power resources based on power utilization information in the prior art are solved, the comprehensive power data of a target power utilization area are acquired through the power detection module, and then classification of user group types is carried out through the information processing module according to the comprehensive power data, so that the regulation and control module carries out self-adaptive regulation and control on the power resources in the target power utilization area based on the user group types. Meanwhile, the information processing module predicts future loads based on the load prediction model, so that the regulating and controlling module adaptively regulates the power load of the using circuit of the corresponding power utilization user based on the predicted loads, the accuracy of power regulation and control is improved, and safe and stable operation of a power grid is ensured.
Example III
Fig. 3 is a flowchart of a power regulation method according to a third embodiment of the present invention, where the method may be applied to the power regulation system provided in the foregoing embodiment, and the power regulation system includes a power detection module, an information processing module, and a regulation module, and referring to fig. 3, the method may include the following steps:
s210, acquiring comprehensive power data of at least one electricity user in a target electricity utilization area based on the power detection module, and sending the comprehensive power data to the information processing module; wherein the integrated power data comprises historical integrated power data and/or current integrated power data;
s220, receiving historical comprehensive power data sent by the power detection module based on the information processing module, classifying power utilization users based on the historical comprehensive power data, and determining the user group category of the power utilization users so that the regulation and control module regulates and controls power resources in the target power utilization area based on the user group category;
s230, receiving current comprehensive power data sent by the power detection module based on the information processing module, and processing the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load so that the regulation and control module regulates the power load of a corresponding power utilization circuit of a power utilization user based on the predicted load.
On the basis of the technical scheme, the information processing module comprises: a data analysis module; wherein,
the data analysis module is used for carrying out safety verification on the comprehensive power data, and when a verification result is detected to be a preset result, the information processing module classifies the power utilization users based on the historical comprehensive power data, and processes the current comprehensive power data based on a load prediction model obtained through pre-training;
and the data analysis module is used for generating early warning prompt information to be fed back to the early warning module for early warning when the check result is detected to be not the preset result.
On the basis of the technical scheme, the information processing module is further used for determining the power utilization user information belonging to the same user group category and transmitting the power utilization user information to the storage module so that the storage module carries out classified cloud storage on the power utilization user information based on the user group category; the electricity utilization user information comprises a user identification and comprehensive power data.
On the basis of the technical scheme, the power detection module is also used for monitoring the storage data in the storage module based on preset detection conditions, and generating abnormal prompt information to feed back to the early warning module for early warning when the storage abnormality is detected; wherein the stored data corresponds to the electricity usage user information.
On the basis of the technical scheme, the method further comprises the following steps: a control panel in communication with the storage module and the power detection module; wherein,
the control panel is used for calling and displaying the stored data in the storage module based on the triggering operation of the user;
the control panel is used for receiving and displaying the abnormal prompt information sent by the power detection module.
On the basis of the technical scheme, the information processing module further comprises: a model training module; wherein,
and the model training module is used for determining a training sample set based on the windowing processing of the comprehensive power data and obtaining the load prediction model based on the training sample set.
On the basis of the technical scheme, the model training module is used for carrying out windowing on the comprehensive power data to obtain at least one slice power data, determining a load label corresponding to the slice power data from the comprehensive power data based on a time sequence dimension, and determining a training sample based on the slice power data and the load label corresponding to the slice power data to obtain a training sample set.
According to the technical scheme, comprehensive power data of at least one power utilization user in a target power utilization area are obtained through a power detection module; the information processing module classifies the electricity utilization users based on the historical comprehensive power data, and determines the user group category of the electricity utilization users, so that the regulation and control module regulates and controls the power resources in the target electricity utilization area based on the user group category; the information processing module processes the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load, so that the regulation and control module regulates the power load of a corresponding power utilization circuit of a power utilization user based on the predicted load, the problems of lag regulation and control and poor effect caused by regulation and control of power resources based on power utilization information in the prior art are solved, the comprehensive power data of a target power utilization area are acquired through the power detection module, and then classification of user group types is carried out through the information processing module according to the comprehensive power data, so that the regulation and control module carries out self-adaptive regulation and control on the power resources in the target power utilization area based on the user group types. Meanwhile, the information processing module predicts future loads based on the load prediction model, so that the regulating and controlling module adaptively regulates the power load of the using circuit of the corresponding power utilization user based on the predicted loads, the accuracy of power regulation and control is improved, and safe and stable operation of a power grid is ensured.
Example IV
Fig. 4 is a schematic structural diagram of an electronic device implementing a power regulation method according to an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the power regulation method.
In some embodiments, the power conditioning method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the power regulation method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the power regulation method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A power conditioning system, comprising: the system comprises a power detection module, an information processing module and a regulation and control module; wherein,
the power detection module is used for acquiring comprehensive power data of at least one power utilization user in a target power utilization region and sending the comprehensive power data to the information processing module; wherein the integrated power data comprises historical integrated power data and/or current integrated power data;
The information processing module is used for receiving the historical comprehensive power data sent by the power detection module, classifying the power utilization users based on the historical comprehensive power data, and determining the user group category of the power utilization users so that the regulation and control module regulates and controls the power resources in the target power utilization area based on the user group category;
the information processing module is used for receiving the current comprehensive power data sent by the power detection module, processing the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load, and enabling the regulation and control module to allocate the power load of the using circuit of the corresponding power utilization user based on the predicted load.
2. The system of claim 1, wherein the information processing module comprises: a data analysis module; wherein,
the data analysis module is used for carrying out safety verification on the comprehensive power data, and when a verification result is detected to be a preset result, the information processing module classifies the power utilization users based on the historical comprehensive power data, and processes the current comprehensive power data based on a load prediction model obtained through pre-training;
And the data analysis module is used for generating early warning prompt information to be fed back to the early warning module for early warning when the check result is detected to be not the preset result.
3. The system of claim 1, wherein the information processing module is further configured to determine and transmit to a storage module information of the electricity users belonging to the same user group category, so that the storage module performs classified cloud storage on the information of the electricity users based on the user group category; the electricity utilization user information comprises a user identification and comprehensive power data.
4. The system of claim 3, wherein the power detection module is further configured to monitor the stored data in the storage module based on a preset detection condition, and generate an abnormality prompt message to feed back to the early warning module for early warning when a storage abnormality is detected; wherein the stored data corresponds to the electricity usage user information.
5. The system of claim 4, wherein the system further comprises: a control panel in communication with the storage module and the power detection module; wherein,
the control panel is used for calling and displaying the stored data in the storage module based on the triggering operation of the user;
The control panel is used for receiving and displaying the abnormal prompt information sent by the power detection module.
6. The system of claim 1, wherein the information processing module further comprises: a model training module; wherein,
and the model training module is used for determining a training sample set based on the windowing processing of the comprehensive power data and obtaining the load prediction model based on the training sample set.
7. The system of claim 6, wherein the model training module is configured to window the integrated power data to obtain at least one sliced power data, determine a load tag corresponding to the sliced power data from the integrated power data based on a time-series dimension, and determine a training sample based on the sliced power data and the load tag corresponding to the sliced power data to obtain a training sample set.
8. The power regulation and control method is characterized by being applied to a power regulation and control system, wherein the power regulation and control system comprises a power detection module, an information processing module and a regulation and control module; the method comprises the following steps:
acquiring comprehensive power data of at least one electricity user in a target electricity utilization area based on the power detection module, and sending the comprehensive power data to the information processing module; wherein the integrated power data comprises historical integrated power data and/or current integrated power data;
The information processing module receives historical comprehensive power data sent by the power detection module, classifies the power utilization users based on the historical comprehensive power data, and determines a user group class to which the power utilization users belong so that the regulation and control module regulates and controls power resources in the target power utilization area based on the user group class;
and receiving current comprehensive power data sent by the power detection module based on the information processing module, and processing the current comprehensive power data based on a pre-trained load prediction model to obtain a predicted load so that the regulation and control module regulates the power load of a using circuit of a corresponding power utilization user based on the predicted load.
9. An electronic device, the electronic device 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 the power regulation method of claim 8.
10. A computer readable storage medium storing computer instructions for causing a processor to execute the power conditioning method of claim 8.
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| CN202311219591.7A CN117239756A (en) | 2023-09-20 | 2023-09-20 | Power regulation and control system, method, electronic equipment and storage medium |
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| CN202311219591.7A CN117239756A (en) | 2023-09-20 | 2023-09-20 | Power regulation and control system, method, electronic equipment and storage medium |
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