CN114172270A - Self-adaptive distribution method and system for computing resources of intelligent terminal in power distribution area - Google Patents
Self-adaptive distribution method and system for computing resources of intelligent terminal in power distribution area Download PDFInfo
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Abstract
The invention provides a self-adaptive distribution method and a self-adaptive distribution system for computing resources of an intelligent terminal of a power distribution area. Meanwhile, the distribution substation intelligent terminal is used for monitoring the distribution substation in real time, and the micro-service composition and the difference of micro-service calling logic sequence of the monitoring service under the three conditions of a normal operation state, an abnormal operation state and a fault operation state are considered, so that the distribution of computing resources of the distribution substation intelligent terminal is different, and different computing resource requirements are met. The invention improves the utilization rate of the computing resources and realizes the self-adaptive distribution of the computing resources.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a power distribution station intelligent terminal computing resource self-adaptive distribution method and system.
Background
The power distribution network is an automatic power transmission and distribution integrated line network, safe operation is an important basis for guaranteeing the safety and stability of the power grid, and monitoring of the power distribution network is a key ring for guaranteeing the safe operation of the power grid. With the mass access of the electric equipment on the power distribution network side, the power users have higher and higher requirements on the power supply quality, and the monitoring service of the power distribution network faces great challenges. The low-voltage distribution network has the characteristics of multiple points, wide range and large access amount, the continuous improvement of the power supply quality and the service capacity requirement of the distribution network is considered, and the low-voltage distribution network is generally managed by taking a distribution area as a unit. The research on the on-line monitoring and control system of the power distribution station area equipment can reduce the workload of operation and maintenance personnel, improve the working efficiency, help to solve abnormal operation equipment as early as possible, strengthen the standardized management of equipment informatization, have profound significance on the long-term stable operation of the power distribution station area, and fundamentally relieve the problems of low operation and maintenance working efficiency and the like. Meanwhile, the running state of the distribution area is complex and changeable, the data needing to be analyzed and processed is increased explosively, the demand of the distribution network on computing resources is increased day by day, and the problem of reasonably distributing the computing resources is urgently solved. The access of the intelligent terminal equipment in the power distribution station area can process massive state monitoring data and user energy information for a power grid, so that reliable decision-making basis is provided for a power system to realize panoramic situation perception, intelligent operation and maintenance, demand side management, intelligent energy consumption scheme recommendation and the like.
The conventional power distribution terminal has the problems of software and hardware binding and strong coupling of data and application. Meanwhile, when the existing power distribution intelligent terminal monitors a power distribution area, the worst case is often adopted to distribute computing resources, that is, the computing resources cannot be adaptively distributed according to the change of the running state. The prior art can not realize flexible configuration of computing resources and has lower utilization rate of the computing resources. Therefore, under the condition that the running state of the power distribution area is complex and changeable, the problems that computing resources cannot be rapidly redistributed, the power supply quality and the service capacity of the power distribution area cannot meet the requirements in time and the like exist.
Disclosure of Invention
In order to solve the above prior art problems, the invention provides a method and a system for adaptively allocating computing resources of an intelligent terminal in a power distribution area.
The invention provides a self-adaptive distribution method of computing resources of an intelligent terminal in a power distribution station area, which comprises the following steps:
collecting measurement data of a power distribution station area; wherein the measurement data comprises: electrical quantity data and non-electrical quantity data;
respectively carrying out electric calculation and non-electric calculation according to the electric quantity data and the non-electric quantity data to respectively obtain an electric quantity calculation result and a non-electric quantity calculation result;
comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain the operation state of the power distribution network; wherein, the running state of distribution network includes: a normal operation state, an abnormal operation state and a fault state;
and distributing the computing resources of the intelligent terminal in the power distribution station area according to the micro-service composition of the running state of the power distribution network and the micro-service calling logic sequence.
Further, after comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain an operation state of the power distribution network, the method further includes:
if the running state of the power distribution network is a normal running state, stopping the service;
if the running state of the power distribution network is an abnormal running state, topology identification is carried out, the difference of the power distribution network topology structure of the power distribution station area under the abnormal running state is identified, the abnormal position is determined, and optimization processing is carried out;
if the running state of the power distribution network is a fault running state, topology identification is carried out, the difference of the power distribution network topology structures of the power distribution transformer area in the fault running state is identified, the fault position is determined, and tripping control processing is carried out.
Further, if the operation state of the power distribution network is an abnormal operation state, performing topology identification, identifying a difference of a power grid topology structure of the power distribution substation in the abnormal operation state, determining an abnormal position, and performing optimization processing, including:
if the running state of the power distribution network is an abnormal running state, topology identification is carried out;
identifying the difference of the power grid topological structures of the power distribution area in the abnormal operation state by taking the normal topological structure as a reference in the abnormal operation state, and determining the abnormal position;
and simultaneously carrying out optimization control; the optimization control includes: generator control and reactive compensation.
Further, the electric quantity calculation result and the non-electric quantity calculation result are compared with a normal operation value to obtain an operation state of the power distribution network, specifically:
comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain an electric quantity deviation value and a non-electric quantity deviation value;
and obtaining the running state of the power distribution network according to the electrical deviation value and the non-electrical deviation value.
Further, the electrical quantity data comprises: frequency, current, voltage, harmonics, power, the non-electrical quantity data includes: temperature, switch state value, gear;
the electrical calculation includes: frequency calculation, current calculation, voltage calculation, harmonic calculation and load calculation;
the non-electrical quantity calculation includes: and calculating the temperature, the switch state value and the gear.
The second aspect of the present invention provides a power distribution station intelligent terminal computing resource adaptive distribution system, including:
the data acquisition module is used for acquiring the measurement data of the power distribution station area; wherein the measurement data comprises: electrical quantity data and non-electrical quantity data;
the data calculation module is used for performing electric calculation and non-electric calculation according to the electric quantity data and the non-electric quantity data respectively to obtain an electric quantity calculation result and a non-electric quantity calculation result respectively;
the state judgment module is used for comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain the operation state of the power distribution network; wherein, the running state of distribution network includes: a normal operation state, an abnormal operation state and a fault state;
and the resource allocation module is used for allocating the computing resources of the intelligent terminal in the power distribution station area according to the micro-service composition of the running state of the power distribution network and the micro-service calling logic sequence.
Further, the state determining module is further configured to:
if the running state of the power distribution network is a normal running state, stopping the service;
if the running state of the power distribution network is an abnormal running state, topology identification is carried out, the difference of the power distribution network topology structure of the power distribution station area under the abnormal running state is identified, the abnormal position is determined, and optimization processing is carried out;
if the running state of the power distribution network is a fault running state, topology identification is carried out, the difference of the power distribution network topology structures of the power distribution transformer area in the fault running state is identified, the fault position is determined, and tripping control processing is carried out.
Further, the state determining module is further configured to:
if the running state of the power distribution network is an abnormal running state, topology identification is carried out;
identifying the difference of the power grid topological structures of the power distribution area in the abnormal operation state by taking the normal topological structure as a reference in the abnormal operation state, and determining the abnormal position;
and simultaneously carrying out optimization control; the optimization control includes: generator control and reactive compensation.
Further, the state determining module is further configured to:
comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain an electric quantity deviation value and a non-electric quantity deviation value;
and obtaining the running state of the power distribution network according to the electrical deviation value and the non-electrical deviation value.
Further, the electrical quantity data comprises: frequency, current, voltage, harmonics, power, the non-electrical quantity data includes: temperature, switch state value, gear;
the electrical calculation includes: frequency calculation, current calculation, voltage calculation, harmonic calculation and load calculation;
the non-electrical quantity calculation includes: and calculating the temperature, the switch state value and the gear.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
the invention provides a self-adaptive distribution method and a self-adaptive distribution system for computing resources of an intelligent terminal in a power distribution area, wherein the method comprises the following steps: collecting measurement data of a power distribution station area; wherein the measurement data comprises: electrical quantity data and non-electrical quantity data; respectively carrying out electric calculation and non-electric calculation according to the electric quantity data and the non-electric quantity data to respectively obtain an electric quantity calculation result and a non-electric quantity calculation result; comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain the operation state of the power distribution network; wherein, the running state of distribution network includes: a normal operation state, an abnormal operation state and a fault state; and distributing the computing resources of the intelligent terminal in the power distribution station area according to the micro-service composition of the running state of the power distribution network and the micro-service calling logic sequence. The invention adopts the intelligent terminal of the power distribution station, the terminal adopts the container technology and the micro-service technology, and the decoupling of software and hardware and the decoupling of data and application of the intelligent terminal of the power distribution station are realized in a software definition mode. Meanwhile, the distribution substation intelligent terminal is used for monitoring the distribution substation in real time, and the micro-service composition and the difference of micro-service calling logic sequence of the monitoring service under the three conditions of a normal operation state, an abnormal operation state and a fault operation state are considered, so that the distribution of computing resources of the distribution substation intelligent terminal is different, and different computing resource requirements are met. The invention improves the utilization rate of the computing resources and realizes the self-adaptive distribution of the computing resources.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for adaptively allocating computing resources of an intelligent terminal in a power distribution area according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a monitoring service-based power distribution station intelligent terminal architecture provided in an embodiment of the present invention;
FIG. 3 is a diagram of micro-service invocation logic in a normal operating state according to an embodiment of the present invention;
FIG. 4 is a diagram of micro-service invocation logic in an abnormal operation state according to an embodiment of the present invention;
FIG. 5 is a diagram of micro-service invocation logic in a failed operating state according to an embodiment of the present invention;
FIG. 6 is a diagram of a microservice invocation logical relationship provided by an embodiment of the present invention;
FIG. 7 is a flow diagram of a computing resource allocation provided by one embodiment of the present invention;
fig. 8 is an apparatus diagram of an adaptive distribution system for computing resources of an intelligent terminal in a distribution area according to an embodiment of the present invention;
fig. 9 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
In the prior art, when a power distribution station is monitored, the worst case is often adopted to allocate the computing resources, that is, the computing resources cannot be adaptively allocated according to the change of the operating state. In addition, the conventional power distribution terminal has the problems of software and hardware binding and strong coupling of data and application. The invention adopts the intelligent terminal of the power distribution station, the terminal adopts the container technology and the micro-service technology, and the decoupling of software and hardware and the decoupling of data and application of the intelligent terminal of the power distribution station are realized in a software definition mode. Meanwhile, the distribution substation intelligent terminal is used for monitoring the distribution substation in real time, and the micro-service composition and the difference of micro-service calling logic sequence of the monitoring service under the three conditions of a normal operation state, an abnormal operation state and a fault operation state are considered, so that the distribution of computing resources of the distribution substation intelligent terminal is different, and different computing resource requirements are met. The invention improves the utilization rate of the computing resources and realizes the self-adaptive distribution of the computing resources.
A first aspect.
Referring to fig. 1, an embodiment of the present invention provides a method for adaptively allocating computing resources of an intelligent terminal in a power distribution area, including:
s10, collecting the measurement data of the distribution station area; wherein the measurement data comprises: electrical quantity data and non-electrical quantity data.
And S20, respectively carrying out electric calculation and non-electric calculation according to the electric quantity data and the non-electric quantity data to respectively obtain an electric quantity calculation result and a non-electric quantity calculation result.
S30, comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain the operation state of the power distribution network; wherein, the running state of distribution network includes: normal operating state, abnormal operating state and fault state.
And S40, distributing the computing resources of the intelligent terminal in the power distribution station area according to the micro-service composition of the running state of the power distribution network and the micro-service calling logic sequence.
In a specific implementation manner of the embodiment of the present invention, after the step S30, the method further includes:
if the running state of the power distribution network is a normal running state, stopping the service;
if the running state of the power distribution network is an abnormal running state, topology identification is carried out, the difference of the power distribution network topology structure of the power distribution station area under the abnormal running state is identified, the abnormal position is determined, and optimization processing is carried out;
if the running state of the power distribution network is a fault running state, topology identification is carried out, the difference of the power distribution network topology structures of the power distribution transformer area in the fault running state is identified, the fault position is determined, and tripping control processing is carried out.
Preferably, if the operation state of the power distribution network is an abnormal operation state, performing topology identification, identifying a difference of a power grid topology structure of the power distribution substation area in the abnormal operation state, determining an abnormal position, and performing optimization processing, including:
if the running state of the power distribution network is an abnormal running state, topology identification is carried out;
identifying the difference of the power grid topological structures of the power distribution area in the abnormal operation state by taking the normal topological structure as a reference in the abnormal operation state, and determining the abnormal position;
and simultaneously carrying out optimization control; the optimization control includes: generator control and reactive compensation.
In another specific implementation manner of the embodiment of the present invention, the comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain an operation state of the power distribution network, specifically:
comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain an electric quantity deviation value and a non-electric quantity deviation value;
and obtaining the running state of the power distribution network according to the electrical deviation value and the non-electrical deviation value.
Preferably, the electrical quantity data comprises: frequency, current, voltage, harmonics, power, the non-electrical quantity data includes: temperature, switch state value, gear;
the electrical calculation includes: frequency calculation, current calculation, voltage calculation, harmonic calculation and load calculation;
the non-electrical quantity calculation includes: and calculating the temperature, the switch state value and the gear.
The invention provides a self-adaptive distribution method of computing resources of an intelligent terminal of a power distribution area, which adopts the intelligent terminal of the power distribution area, adopts a container technology and a micro-service technology, and realizes the decoupling of software and hardware and the decoupling of data and application of the intelligent terminal of the power distribution area in a software definition mode. Meanwhile, the distribution substation intelligent terminal is used for monitoring the distribution substation in real time, and the micro-service composition and the difference of micro-service calling logic sequence of the monitoring service under the three conditions of a normal operation state, an abnormal operation state and a fault operation state are considered, so that the distribution of computing resources of the distribution substation intelligent terminal is different, and different computing resource requirements are met. The invention improves the utilization rate of the computing resources and realizes the self-adaptive distribution of the computing resources.
In another embodiment of the present invention, the power distribution substation intelligent terminal includes a basic service class container, a calculation service class container, an analysis service class container, and a control service class container. The microservice container function configuration table is shown in table 1.
TABLE 1 micro service Container function configuration Table
The intelligent terminal of the power distribution area utilizes four servers, namely a basic service container, a calculation service container, an analysis service container and a control service container to monitor the normal running state, the abnormal running state and the fault running state of the power distribution network, and completes the self-adaptive distribution of calculation resources.
Firstly, data are sequentially collected, analyzed, processed and stored through a basic service container.
Subsequently, frequency calculation, current calculation, voltage calculation, harmonic calculation, load calculation and other calculations are performed simultaneously by the calculation service class container.
And then, carrying out logic judgment by analyzing the service container, wherein the logic judgment refers to comparing the calculation result with a normal operation value to obtain an offset range.
And then analyzing the service container to perform state detection, wherein the state detection means obtaining the normal operation state, the abnormal operation state or the fault operation state of the power distribution station area according to the deviation range obtained by logic judgment. If the state detection result is a normal operation state, stopping the service; if the abnormal operation state is detected, analyzing the service container to perform topology identification, identifying the difference of the power grid topology structure of the power distribution area in the abnormal operation state by taking the normal topology structure as a reference in the abnormal operation state so as to determine the abnormal position, simultaneously performing generator control, reactive compensation and other optimization control through the control container, and performing manual control through abnormal alarm; if the fault operation state is detected, analyzing the service container to perform topology identification, identifying the difference of the power grid topology structure of the power distribution area in the fault operation state by taking the normal topology structure as reference in the fault operation state through the topology identification, determining the fault position, and performing tripping control and other processing on the fault through controlling the service container. The power distribution station intelligent terminal architecture based on monitoring service is shown in fig. 2.
The self-adaptive computing resource allocation implementation process of the power distribution station intelligent terminal based on the monitoring service comprises the following steps: due to the difference of the micro-service composition and the micro-service calling logic relation of the monitoring service in the three running states, the computing resource allocation is different. The specific situation is as follows:
(1) in a normal operation state, the monitoring service mainly comprises a basic service container for carrying out data acquisition, analysis, processing and storage on equipment in a power distribution station area in real time, a calculation service container for calculating current and voltage equivalent values, and an analysis service container for carrying out logic judgment and state detection on calculated values and the like.
(2) In the abnormal operation state, the monitoring service is added with the functions of analyzing the topology identification of the service container, controlling the optimization control of the service container and alarming for the abnormality on the basis of the normal operation state.
(3) In the fault operation state, the monitoring service adds the functions of analyzing the topology identification of the service container and controlling the fault processing of the service container on the basis of the normal operation state.
The power distribution station area has massive state monitoring data and user energy information, so that the data transmitted to the intelligent terminal of the power distribution station area is large in amount and complex. When the intelligent terminal of the power distribution station area executes monitoring business, firstly, electric quantities such as voltage, current, frequency, power and the like, and non-electric quantities such as temperature, switch state values, gears and the like are collected, analyzed, cleaned and stored through the basic service container. And then calculating the electric quantity such as voltage, current and the like and the non-electric system by the calculation service type container. And then, carrying out logic judgment and state detection on the calculated numerical values in sequence through the analysis service container. When the current distribution station area is judged to be in a normal operation state, the micro-service call logic relation diagram shown in fig. 3 can be obtained.
The operation state of the power distribution network is complex and changeable, and when the power distribution network is in an abnormal operation state, the intelligent terminal of the power distribution station area can distribute computing resources in a self-adaptive mode. At the moment, on the basis of the original micro-service in the normal operation state, the functions of analyzing the topology identification of the service container and controlling the optimization control and the abnormity alarm of the service container are added, the micro-service recombination is realized, and the redistribution of computing resources is carried out. When the distribution station area is in an abnormal operation state, the micro-service call logic relation diagram shown in fig. 4 can be obtained.
Similarly, in a fault operation state, a fault reason needs to be found and fault processing needs to be carried out in time, so that more faults of the power distribution network are prevented. Therefore, on the basis of the micro service in the normal operation state, the topology identification function of analyzing the service container and the fault processing function of controlling the service container are added. When the distribution station area is in a fault operation state, the micro-service call logic relation diagram shown in fig. 5 can be obtained.
Fig. 6 is a logic relationship diagram for calling micro services, and the connection relationship among the micro services includes four types, namely series branch connection, parallel branch connection, isolated branch connection and composite branch connection. The computing resource requirement of the parallel branch is the superposition of the computing resource requirements of all the micro-services connected in parallel; the calculation resource requirement of the serial branch is the maximum value of the calculation resource requirements of each micro service in series; the computing resource requirement of the isolated branch is the computing resource requirement of the corresponding micro service; the computational resource requirements of the composite branch are the superposition of the computational resource requirements of the parallel-connected serial branches and the computational resource requirements of the isolated branch. And finally, the computing resource requirement of the service is the maximum value of the computing resource requirements of the parallel branch, the composite branch and the isolated branch.
The invention considers the monitoring service born by the intelligent terminal of the power distribution area and divides the monitoring service into a plurality of micro services. And the micro-service composition and the calling logic relation of the monitoring service in three running states of a normal running state, an abnormal running state and a fault running state are different, so that the distribution of the computing resources of the intelligent terminals in the distribution substation area are different, namely the self-adaptive distribution of the computing resources is realized.
Through the calculation resource allocation flowchart of fig. 7, allocation of the calculation resources of the intelligent terminal in the power distribution station area can be realized, and the specific process is as follows:
the method comprises the following steps: according to the business requirements, firstly decomposing the business into a plurality of micro services, and then inputting the logic relation of each micro service and the computing resource requirements of each micro service;
step two: setting iteration times, wherein s is 0, and k is 0;
step three: obtaining the total number N of the serial branch, the parallel branch and the isolated branch according to the logic relation of each micro service;
step four: calculating the calculation resource demand of each series branch, each parallel branch and each isolated branch;
step five: judging the size relationship between the iteration times s and the total branch number N, if the relationship that the iteration times s is less than or equal to the total branch number N is met, adding one to the iteration times, and returning to the step three; if the iteration times s are not satisfied to be less than or equal to the relation of the total branch number N, entering a sixth step;
step six: acquiring the total number M of the composite branches according to the logic relationship of the microservice;
step seven: calculating the computing resource demand of the composite branch;
step eight: judging the size relation between the iteration times k and the total number M of the composite branches, if the relation that the iteration times k are less than or equal to the total number M of the composite branches is met, adding one to the iteration times, and returning to the step six; if the iteration times k are not satisfied with the relationship that the total number of the composite branches is less than or equal to M, entering the ninth step;
step nine: calculating peak values of the calculation resource demand of the parallel branch, the isolated branch and the composite branch;
step ten: and calculating the resource distribution amount of the intelligent terminal in the power distribution station area according to the peak value of the resource demand amount calculated in the step nine.
The invention adopts the intelligent terminal of the power distribution station, the terminal adopts the container technology and the micro-service technology, and the decoupling of software and hardware and the decoupling of data and application of the intelligent terminal of the power distribution station are realized in a software definition mode. Meanwhile, the distribution substation intelligent terminal is used for monitoring the distribution substation in real time, and the micro-service composition and the difference of micro-service calling logic sequence of the monitoring service under the three conditions of a normal operation state, an abnormal operation state and a fault operation state are considered, so that the distribution of computing resources of the distribution substation intelligent terminal is different, and different computing resource requirements are met. The invention improves the utilization rate of the computing resources and realizes the self-adaptive distribution of the computing resources.
A second aspect.
Referring to fig. 8, an embodiment of the present invention provides an adaptive distribution system for computing resources of an intelligent terminal in a distribution area, including:
the data acquisition module 10 is used for acquiring measurement data of a power distribution station area; wherein the measurement data comprises: electrical quantity data and non-electrical quantity data.
The data calculation module 20 is configured to perform electrical calculation and non-electrical calculation according to the electrical quantity data and the non-electrical quantity data, respectively, so as to obtain an electrical quantity calculation result and a non-electrical quantity calculation result.
The state judgment module 30 is configured to compare the electrical quantity calculation result and the non-electrical quantity calculation result with a normal operation value to obtain an operation state of the power distribution network; wherein, the running state of distribution network includes: normal operating state, abnormal operating state and fault state.
And the resource distribution module 40 is used for distributing the computing resources of the intelligent terminal in the power distribution station area according to the micro-service composition of the running state of the power distribution network and the micro-service calling logic sequence.
In a specific implementation manner of the embodiment of the present invention, the state determining module 30 is further configured to:
if the running state of the power distribution network is a normal running state, stopping the service;
if the running state of the power distribution network is an abnormal running state, topology identification is carried out, the difference of the power distribution network topology structure of the power distribution station area under the abnormal running state is identified, the abnormal position is determined, and optimization processing is carried out;
if the running state of the power distribution network is a fault running state, topology identification is carried out, the difference of the power distribution network topology structures of the power distribution transformer area in the fault running state is identified, the fault position is determined, and tripping control processing is carried out.
In a specific implementation manner of the embodiment of the present invention, the state determining module 30 is further configured to:
if the running state of the power distribution network is an abnormal running state, topology identification is carried out;
identifying the difference of the power grid topological structures of the power distribution area in the abnormal operation state by taking the normal topological structure as a reference in the abnormal operation state, and determining the abnormal position;
and simultaneously carrying out optimization control; the optimization control includes: generator control and reactive compensation.
In a specific implementation manner of the embodiment of the present invention, the state determining module 30 is further configured to:
comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain an electric quantity deviation value and a non-electric quantity deviation value;
and obtaining the running state of the power distribution network according to the electrical deviation value and the non-electrical deviation value.
Preferably, the electrical quantity data comprises: frequency, current, voltage, harmonics, power, the non-electrical quantity data includes: temperature, switch state value, gear;
the electrical calculation includes: frequency calculation, current calculation, voltage calculation, harmonic calculation and load calculation;
the non-electrical quantity calculation includes: and calculating the temperature, the switch state value and the gear.
The invention provides a self-adaptive distribution system of computing resources of an intelligent terminal of a power distribution station, which adopts the intelligent terminal of the power distribution station, adopts a container technology and a micro-service technology, and realizes the decoupling of software and hardware and the decoupling of data and application of the intelligent terminal of the power distribution station in a software definition mode. Meanwhile, the distribution substation intelligent terminal is used for monitoring the distribution substation in real time, and the micro-service composition and the difference of micro-service calling logic sequence of the monitoring service under the three conditions of a normal operation state, an abnormal operation state and a fault operation state are considered, so that the distribution of computing resources of the distribution substation intelligent terminal is different, and different computing resource requirements are met. The invention improves the utilization rate of the computing resources and realizes the self-adaptive distribution of the computing resources.
In a third aspect.
The present invention provides an electronic device, including:
a processor, a memory, and a bus;
the bus is used for connecting the processor and the memory;
the memory is used for storing operation instructions;
the processor is configured to call the operation instruction, and the executable instruction enables the processor to execute an operation corresponding to the power distribution station intelligent terminal adaptive allocation method shown in the first aspect of the present application.
In an alternative embodiment, an electronic device is provided, as shown in fig. 9, the electronic device 5000 shown in fig. 9 includes: a processor 5001 and a memory 5003. The processor 5001 and the memory 5003 are coupled, such as via a bus 5002. Optionally, the electronic device 5000 may also include a transceiver 5004. It should be noted that the transceiver 5004 is not limited to one in practical application, and the structure of the electronic device 5000 is not limited to the embodiment of the present application.
The processor 5001 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 5001 may also be a combination of processors implementing computing functionality, e.g., a combination comprising one or more microprocessors, a combination of DSPs and microprocessors, or the like.
The memory 5003 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 5003 is used for storing application program codes for executing the present solution, and the execution is controlled by the processor 5001. The processor 5001 is configured to execute application program code stored in the memory 5003 to implement the teachings of any of the foregoing method embodiments.
Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like.
A fourth aspect.
The invention provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements a power distribution substation intelligent terminal computing resource adaptive allocation method shown in the first aspect of the present application.
Yet another embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, which, when run on a computer, enables the computer to perform the corresponding content in the aforementioned method embodiments.
Claims (10)
1. A self-adaptive distribution method for computing resources of an intelligent terminal in a power distribution area is characterized by comprising the following steps:
collecting measurement data of a power distribution station area; wherein the measurement data comprises: electrical quantity data and non-electrical quantity data;
respectively carrying out electric calculation and non-electric calculation according to the electric quantity data and the non-electric quantity data to respectively obtain an electric quantity calculation result and a non-electric quantity calculation result;
comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain the operation state of the power distribution network; wherein, the running state of distribution network includes: a normal operation state, an abnormal operation state and a fault state;
and distributing the computing resources of the intelligent terminal in the power distribution station area according to the micro-service composition of the running state of the power distribution network and the micro-service calling logic sequence.
2. The method as claimed in claim 1, wherein the step of comparing the electric quantity calculation result and the non-electric quantity calculation result with normal operation values to obtain the operation status of the power distribution network further comprises:
if the running state of the power distribution network is a normal running state, stopping the service;
if the running state of the power distribution network is an abnormal running state, topology identification is carried out, the difference of the power distribution network topology structure of the power distribution station area under the abnormal running state is identified, the abnormal position is determined, and optimization processing is carried out;
if the running state of the power distribution network is a fault running state, topology identification is carried out, the difference of the power distribution network topology structures of the power distribution transformer area in the fault running state is identified, the fault position is determined, and tripping control processing is carried out.
3. The method for adaptively allocating the computing resources of the intelligent terminal in the power distribution area according to claim 2, wherein if the operating state of the power distribution network is an abnormal operating state, performing topology identification, identifying a difference of a power grid topology structure of the power distribution area in the abnormal operating state, determining an abnormal position, and performing optimization processing, comprises:
if the running state of the power distribution network is an abnormal running state, topology identification is carried out;
identifying the difference of the power grid topological structures of the power distribution area in the abnormal operation state by taking the normal topological structure as a reference in the abnormal operation state, and determining the abnormal position;
and simultaneously carrying out optimization control; the optimization control includes: generator control and reactive compensation.
4. The method as claimed in claim 1, wherein the electrical quantity calculation result and the non-electrical quantity calculation result are compared with normal operation values to obtain an operation state of the power distribution network, specifically:
comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain an electric quantity deviation value and a non-electric quantity deviation value;
and obtaining the running state of the power distribution network according to the electrical deviation value and the non-electrical deviation value.
5. The method for adaptively allocating the computing resources of the intelligent terminal of the power distribution substation as claimed in claim 1, wherein the electrical quantity data comprises: frequency, current, voltage, harmonics, power, the non-electrical quantity data includes: temperature, switch state value, gear;
the electrical calculation includes: frequency calculation, current calculation, voltage calculation, harmonic calculation and load calculation;
the non-electrical quantity calculation includes: and calculating the temperature, the switch state value and the gear.
6. The utility model provides a distribution transformer district intelligent terminal computing resource is from adaptive distribution system which characterized in that includes:
the data acquisition module is used for acquiring the measurement data of the power distribution station area; wherein the measurement data comprises: electrical quantity data and non-electrical quantity data;
the data calculation module is used for performing electric calculation and non-electric calculation according to the electric quantity data and the non-electric quantity data respectively to obtain an electric quantity calculation result and a non-electric quantity calculation result respectively;
the state judgment module is used for comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain the operation state of the power distribution network; wherein, the running state of distribution network includes: a normal operation state, an abnormal operation state and a fault state;
and the resource allocation module is used for allocating the computing resources of the intelligent terminal in the power distribution station area according to the micro-service composition of the running state of the power distribution network and the micro-service calling logic sequence.
7. The system for adaptive distribution of computing resources of an intelligent terminal of a power distribution substation according to claim 6, wherein the status determination module is further configured to:
if the running state of the power distribution network is a normal running state, stopping the service;
if the running state of the power distribution network is an abnormal running state, topology identification is carried out, the difference of the power distribution network topology structure of the power distribution station area under the abnormal running state is identified, the abnormal position is determined, and optimization processing is carried out;
if the running state of the power distribution network is a fault running state, topology identification is carried out, the difference of the power distribution network topology structures of the power distribution transformer area in the fault running state is identified, the fault position is determined, and tripping control processing is carried out.
8. The system for adaptive distribution of computing resources of an intelligent terminal of a power distribution substation according to claim 7, wherein the status determination module is further configured to:
if the running state of the power distribution network is an abnormal running state, topology identification is carried out;
identifying the difference of the power grid topological structures of the power distribution area in the abnormal operation state by taking the normal topological structure as a reference in the abnormal operation state, and determining the abnormal position;
and simultaneously carrying out optimization control; the optimization control includes: generator control and reactive compensation.
9. The system for adaptive distribution of computing resources of an intelligent terminal of a power distribution substation according to claim 6, wherein the status determination module is further configured to:
comparing the electric quantity calculation result and the non-electric quantity calculation result with a normal operation value to obtain an electric quantity deviation value and a non-electric quantity deviation value;
and obtaining the running state of the power distribution network according to the electrical deviation value and the non-electrical deviation value.
10. The adaptive distribution system for power distribution substation intelligent terminal computing resources of claim 6, wherein the electrical quantity data comprises: frequency, current, voltage, harmonics, power, the non-electrical quantity data includes: temperature, switch state value, gear;
the electrical calculation includes: frequency calculation, current calculation, voltage calculation, harmonic calculation and load calculation;
the non-electrical quantity calculation includes: and calculating the temperature, the switch state value and the gear.
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