CN112953012A - Intelligent power supply system and method based on big data and Internet of things - Google Patents

Intelligent power supply system and method based on big data and Internet of things Download PDF

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Publication number
CN112953012A
CN112953012A CN202110254739.5A CN202110254739A CN112953012A CN 112953012 A CN112953012 A CN 112953012A CN 202110254739 A CN202110254739 A CN 202110254739A CN 112953012 A CN112953012 A CN 112953012A
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fault
power
power supply
circuit
control
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Chinese (zh)
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潘敏
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Guangzhou Xinhong Equipment Design Co ltd
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Guangzhou Xinhong Equipment Design Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention provides an intelligent power supply system based on big data and the Internet of things, which comprises a power utilization loop, a power distribution network, an intelligent measurement and control box, a cloud server, an edge control terminal and a communication gateway, wherein the intelligent measurement and control box, the power distribution network and the edge control terminal are in data interaction with the cloud server through the communication gateway; the cloud server comprises an energy-saving control module and a fault management module, wherein the energy-saving control module classifies according to the position, the function and the electric energy loss of the power utilization loop, establishes a classified power utilization energy consumption analysis model with a multilayer structure, controls the power supply time and the power supply power of the power utilization loop, acquires the electric quantity data of the power utilization loop and feeds the electric quantity data back to the energy-saving control module to realize energy-saving PID control; the fault management module acquires fault information uploaded by a power distribution network, constructs a fault judgment model, judges and positions faults and sets a fault linkage solution. The invention realizes intelligent management and control of power supply and can realize fault positioning as soon as possible after a fault occurs.

Description

Intelligent power supply system and method based on big data and Internet of things
Technical Field
The invention relates to an intelligent power supply technology, in particular to an intelligent power supply system and method based on big data and the Internet of things.
Background
With the development of the industry in China, the scale of a power network is gradually increased, the network structure is gradually complicated, and the requirement of a user on the power supply stability is higher and higher, so that the fault needs to be positioned as soon as possible after the fault occurs, the fault is rapidly eliminated, the operation safety of a system is ensured, and the loss is minimized. Meanwhile, after the requirements of daily life, work and study are met, it is necessary to save electric energy in order to prevent unnecessary electric energy waste.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent power supply system and method based on big data and the Internet of things, so that the intelligent management and control of power supply are realized, the aim of saving electric energy is fulfilled, and meanwhile, fault positioning can be performed as soon as possible after a fault occurs, and the fault can be removed rapidly.
In order to achieve the purpose, the invention adopts the following specific technical scheme:
an intelligent power supply system based on big data and the Internet of things comprises a plurality of power utilization loops with unique identification codes and unique position information, a plurality of power distribution networks configured according to the position information, an intelligent measurement and control box for acquiring the power and accumulated electric quantity of the power utilization loops, a cloud server for power supply management based on a big data algorithm, an edge control terminal for edge calculation and edge control, and a communication gateway for data communication, wherein the intelligent measurement and control box, the power distribution networks and the edge control terminal are in data interaction with the cloud server through the communication gateway;
the cloud server comprises an energy-saving control module for realizing power supply and energy saving and a fault management module for realizing fault identification, wherein the energy-saving control module classifies according to the position, the function and the electric energy loss of the power utilization loop, establishes a classified power consumption analysis model with a multilayer structure, issues a control instruction to the intelligent measurement and control box through the classified power consumption analysis model to control the power supply time and the power supply power of the power utilization loop, and the intelligent measurement and control box acquires the electric quantity data of the power utilization loop and feeds the electric quantity data back to the energy-saving control module to realize energy-saving PID control; and the fault management module acquires the fault information uploaded by the power distribution network, constructs a fault judgment model, judges and positions faults and sets a fault linkage solution.
Preferably, intelligence measurement and control case includes power supply module, signal acquisition module, clock circuit, memory circuit, master control circuit, communication circuit and relay, power supply module is used for providing corresponding voltage for every circuit module, signal acquisition module is used for acquireing the electric current and the voltage signal of power consumption circuit transmit for master control circuit, clock circuit with master control circuit connects, memory circuit with master control circuit connects, master control circuit carries out accurate real-time supervision measurement according to clock signal, electric current and voltage signal, master control circuit passes through communication circuit with edge control terminal connects, edge control terminal control the relay realizes energy-saving control and trouble solution.
Preferably, the communication circuit is an RS485 communication circuit, a WiFi communication circuit, an Ethernet communication circuit or a 4G/5G communication circuit.
Preferably, the edge control terminal is used for docking the classification power consumption analysis model based on a programming technology, and is further used for achieving basic information management, query and statistics, polling electric quantity data, power consumption loop remote control, abnormal error reporting and visual display of the power consumption loop, the basic information management refers to unique identification codes and unique position information of the power consumption loop, the query and statistics include but are not limited to voltage/current query and statistics, relay query and statistics, accumulated electric quantity query and statistics, the polling electric quantity data refers to polling the power consumption loop at regular time and is stored, the power consumption loop remote control refers to controlling on and off of a relay according to a control command issued by the classification power consumption analysis model, and the abnormal error reporting refers to performing error prompt in the operation process of the edge control terminal.
Preferably, the distribution network is a tree network topology structure, a distribution device in the network is used as a node and numbered, the number of the node and the numbers of a parent node and a child byte of the node are used as a group of arrays, the fault management module acquires fault information uploaded by the distribution network, constructs a fault judgment model, judges and positions faults, and sets a fault linkage solution, specifically, the fault management module acquires the fault information uploaded by each node of the distribution network, combines the fault information according to the arrays, constructs a fault information combination, judges whether the fault information combination is abnormal according to the fault type and fault influence factors of the fault type on the parent node and the child node, obtains a fault section, and determines the fault solution according to the fault type and the fault section.
Preferably, the power distribution network transmits information by using GOOSE messages.
An intelligent power supply method based on big data and the Internet of things specifically comprises the following steps:
s1, constructing a hardware architecture of an intelligent power supply system, wherein the intelligent power supply system comprises a plurality of power utilization loops with unique identification codes and unique position information, a plurality of power distribution networks configured according to the position information, an intelligent measurement and control box for acquiring the power and accumulated electric quantity of the power utilization loops, a cloud server for power supply management based on a big data algorithm, an edge control terminal for edge calculation and edge control, and a communication gateway for data communication, and the intelligent measurement and control box, the power distribution networks and the edge control terminal perform data interaction with the cloud server through the communication gateway;
s2, setting software functions of the intelligent power supply system including but not limited to an energy-saving control function and a fault management function, classifying the energy-saving control function according to the position, the function and the electric energy loss of the power utilization loop, establishing a classified power utilization and energy consumption analysis model with a multilayer structure, issuing a control instruction to the intelligent measurement and control box through the classified power utilization and energy consumption analysis model, controlling the power supply time and the power supply power of the power utilization loop, and acquiring the electric quantity data of the power utilization loop by the intelligent measurement and control box and feeding the electric quantity data back to the energy-saving control module to realize energy-saving PID control; and the fault management function acquires the fault information uploaded by the power distribution network, constructs a fault judgment model, judges and positions faults and sets a fault linkage solution.
Preferably, intelligence measurement and control case includes power supply module, signal acquisition module, clock circuit, memory circuit, master control circuit, communication circuit and relay, power supply module is used for providing corresponding voltage for every circuit module, signal acquisition module is used for acquireing the electric current and the voltage signal of power consumption circuit transmit for master control circuit, clock circuit with master control circuit connects, memory circuit with master control circuit connects, master control circuit carries out accurate real-time supervision measurement according to clock signal, electric current and voltage signal, master control circuit passes through communication circuit with edge control terminal connects, edge control terminal control the relay realizes energy-saving control and trouble solution.
Preferably, the distribution network is a tree network topology structure, a distribution device in the network is used as a node and numbered, the number of the node and the numbers of a parent node and a child byte of the node are used as a group of arrays, the fault management module acquires fault information uploaded by the distribution network, constructs a fault judgment model, judges and positions faults, and sets a fault linkage solution, specifically, the fault management module acquires the fault information uploaded by each node of the distribution network, combines the fault information according to the arrays, constructs a fault information combination, judges whether the fault information combination is abnormal according to the fault type and fault influence factors of the fault type on the parent node and the child node, obtains a fault section, and determines the fault solution according to the fault type and the fault section.
The invention has the beneficial effects that: the intelligent management and control of power supply are realized, the purpose of saving electric energy is achieved, and meanwhile, fault positioning can be carried out as soon as possible after a fault occurs, and the fault can be rapidly eliminated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of an intelligent power supply system based on big data and internet of things according to an embodiment of the present invention;
fig. 2 is a flowchart of an intelligent power supply method based on big data and the internet of things 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. Other embodiments, which can be derived by one of ordinary skill in the art from the embodiments given herein without any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The power distribution network is composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators, a plurality of accessory facilities and the like, and plays a role in distributing electric energy in the power network. The power distribution network is classified into a high-voltage power distribution network (35-110KV), a medium-voltage power distribution network (6-10KV, 20KV in Suzhou) and a low-voltage power distribution network (220/380V) according to voltage grades; in an extra-large city with a large load factor, a 220KV power grid also has a power distribution function.
As shown in fig. 1, the invention provides an intelligent power supply system based on big data and internet of things, which includes a plurality of power utilization loops with unique identification codes and unique position information, a plurality of power distribution networks configured according to the position information, an intelligent measurement and control box for acquiring power and accumulated electric quantity of the power utilization loops, a cloud server for power supply management based on big data algorithm, an edge control terminal for edge calculation and edge control, and a communication gateway for data communication, wherein the intelligent measurement and control box, the power distribution networks and the edge control terminal perform data interaction with the cloud server through the communication gateway;
the cloud server comprises an energy-saving control module for realizing power supply energy saving and a fault management module for realizing fault identification, wherein the energy-saving control module classifies according to the position, the function and the electric energy loss of an electric loop, establishes a classified electric energy consumption analysis model with a multilayer structure, sends a control instruction to the intelligent measurement and control box through the classified electric energy consumption analysis model, controls the power supply time and the power supply power of the electric loop, and the intelligent measurement and control box acquires electric quantity data of the electric loop and feeds the electric quantity data back to the energy-saving control module to realize energy-saving PID control; the fault management module acquires fault information uploaded by a power distribution network, constructs a fault judgment model, judges and positions faults and sets a fault linkage solution.
Specifically, the cloud server can be further used for integrating power supply and distribution resources, generating a standardized or customized power supply service scheme for a customer, and the customer can obtain power grid supply and demand information and power consumption cost through the intelligent terminal to realize information visual display and control.
Preferably, the intelligent measurement and control box comprises a power supply module, a signal acquisition module, a clock circuit, a storage circuit, a main control circuit, a communication circuit and a relay, wherein the power supply module is used for providing corresponding voltage for each circuit module, the signal acquisition module is used for acquiring current and voltage signals of a power utilization loop and transmitting the current and voltage signals to the main control circuit, the clock circuit is connected with the main control circuit, the storage circuit is connected with the main control circuit, the main control circuit is used for carrying out accurate real-time monitoring and metering according to the clock signals, the current and the voltage signals, the main control circuit is connected with the edge control terminal through the communication circuit, and the edge control terminal controls the relay to realize energy-saving control and.
Preferably, the communication circuit is an RS485 communication circuit, a WiFi communication circuit, an Ethernet communication circuit or a 4G/5G communication circuit.
The energy-saving control module can determine the position of the power utilization loop based on a GIS technology, the functions of the power utilization loop comprise industrial power utilization, domestic power utilization and the like, such as schools and factories, the energy-saving control module can realize the checking of the position information, the energy utilization condition, the building types and other information of each power utilization building/power utilization loop of schools or factories, the building types of schools comprise but are not limited to comprehensive buildings, dormitory buildings, teaching buildings, office buildings, experimental buildings and the like, the energy-saving control module acquires the power utilization data of each building in a certain time period from an intelligent measurement and control box, considers the influence of time (whether a rest day is needed) and external environment (temperature and humidity) on the energy consumption of each power utilization building, and establishes a classified power utilization energy consumption analysis model based on a genetic BP neural network, and then inputting the time and the external environment into the classification power consumption analysis model to obtain a predicted power consumption value of each power consumption building. And if the actual electricity consumption of the electricity utilization building exceeds the predicted electricity utilization data, stopping power supply, and simultaneously setting the predicted electricity utilization value according to the electricity utilization time period rule of each day by the classified electricity utilization energy consumption analysis model.
The energy-saving control module can also collect various operation information in the power distribution network, the operation mode of the power distribution network is reasonably arranged according to the collected operation information, basic electricity utilization data are obtained through the intelligent measurement and control box, whether line loss of the power distribution grid or the power distribution station area exceeds a set threshold value or not is judged according to the basic electricity utilization data and the operation information of the power distribution network, an energy-saving product promotion suggestion is sent, and if the voltage of the power distribution grid or the power distribution station area is lower than a set value, a voltage horizontal line is improved through reactive compensation.
The energy-saving control module can calculate the line loss of the power distribution grid or the power distribution station area by establishing a power distribution network optimization operation model, solving by using an optimization algorithm, calculating to obtain the load flow distribution, the power generation data and the load data of the whole power distribution network, further analyzing and calculating the line loss or predicting the line loss of the power distribution network by using a data clustering analysis algorithm, and predicting the line loss of the power distribution network by using the data clustering analysis algorithm.
Preferably, the edge control terminal is used for docking the classification power consumption analysis model based on a programming technology, and is also used for realizing basic information management, query and statistics, polling electric quantity data, remote control of the power consumption loop, abnormal error reporting and visual display of the power consumption loop, wherein the basic information management refers to unique identification codes and unique position information of the power consumption loop, the query and statistics include but are not limited to voltage/current query and statistics, relay query and statistics, accumulated electric quantity query and statistics, the polling electric quantity data refers to the timing polling power consumption loop and is stored, the remote control of the power consumption loop refers to control of a switch of a relay according to a control command issued by the classification power consumption analysis model, and the abnormal error reporting refers to error prompt in the operation process of the edge control terminal.
Preferably, the distribution network is a tree network topology structure, a distribution device in the network is used as a node and numbered, the number of the node and the numbers of a father node and a son byte of the node are used as a group of arrays, the fault management module acquires fault information uploaded by the distribution network, constructs a fault judgment model, judges and positions faults, and sets a fault linkage solution, specifically, the fault management module acquires the fault information uploaded by each node of the distribution network, combines the fault information according to the arrays, constructs a fault information combination, judges whether the fault information combination is abnormal according to the fault type and fault influence factors of the fault type on the father node and the son node, obtains a fault interval, and determines the fault solution according to the fault type and the fault interval.
Preferably, the power distribution network uses GOOSE messages for information transmission.
As shown in fig. 2, the invention further provides an intelligent power supply method based on big data and internet of things, which specifically comprises the following steps:
s1, constructing a hardware architecture of the intelligent power supply system, wherein the intelligent power supply system comprises a plurality of power utilization loops with unique identification codes and unique position information, a plurality of power distribution networks configured according to the position information, an intelligent measurement and control box for acquiring the power and accumulated electric quantity of the power utilization loops, a cloud server for power supply management based on a big data algorithm, an edge control terminal for edge calculation and edge control, and a communication gateway for data communication, and the intelligent measurement and control box, the power distribution networks and the edge control terminal perform data interaction with the cloud server through the communication gateway;
s2, setting software functions of the intelligent power supply system including but not limited to an energy-saving control function and a fault management function, classifying the energy-saving control function according to the position, the function and the electric energy loss of the power utilization loop, establishing a classified power utilization energy consumption analysis model with a multilayer structure, issuing a control instruction to the intelligent measurement and control box through the classified power utilization energy consumption analysis model, controlling the power supply time and the power supply power of the power utilization loop, and acquiring the electric quantity data of the power utilization loop by the intelligent measurement and control box and feeding the electric quantity data back to the energy-saving control module to realize energy-saving PID control; the fault management function acquires fault information uploaded by a power distribution network, constructs a fault judgment model, judges and positions faults, and sets a fault linkage solution.
Preferably, the intelligent measurement and control box comprises a power supply module, a signal acquisition module, a clock circuit, a storage circuit, a main control circuit, a communication circuit and a relay, wherein the power supply module is used for providing corresponding voltage for each circuit module, the signal acquisition module is used for acquiring current and voltage signals of a power utilization loop and transmitting the current and voltage signals to the main control circuit, the clock circuit is connected with the main control circuit, the storage circuit is connected with the main control circuit, the main control circuit is used for carrying out accurate real-time monitoring and metering according to the clock signals, the current and the voltage signals, the main control circuit is connected with the edge control terminal through the communication circuit, and the edge control terminal controls the relay to realize energy-saving control and.
The energy-saving control function can determine the position of the power utilization loop based on the GIS technology, the functions of the power utilization loop comprise industrial power utilization, domestic power utilization and the like, such as schools and factories, the energy-saving control module can realize the checking of the position information, the energy utilization condition, the building types and other information of each power utilization building/power utilization loop of schools or factories, the building types of schools comprise but are not limited to comprehensive buildings, dormitory buildings, teaching buildings, office buildings, experimental buildings and the like, the energy-saving control module acquires the power utilization data of each building in a certain time period from the intelligent measurement and control box, considers the influence of time (whether the day of rest) and external environment (temperature and humidity) on the energy consumption of each power utilization building, and establishes a classified power utilization energy consumption analysis model based on the genetic BP neural network technology, and then inputting the time and the external environment into the classification power consumption analysis model to obtain a predicted power consumption value of each power consumption building. And if the actual electricity consumption of the electricity utilization building exceeds the predicted electricity utilization data, stopping power supply, and simultaneously setting the predicted electricity utilization value according to the electricity utilization time period rule of each day by the classified electricity utilization energy consumption analysis model.
The energy-saving control function can also be used for collecting various operation information in the power distribution network, the operation mode of the power distribution network is reasonably arranged according to the collected operation information, basic electricity utilization data are obtained through the intelligent measurement and control box, whether line loss of a power distribution grid or a power distribution station area exceeds a set threshold value or not is judged according to the basic electricity utilization data and the operation information of the power distribution network, an energy-saving product promotion suggestion is sent, and if the voltage of the power distribution grid or the power distribution station area is lower than a set value, a voltage horizontal line is improved through reactive compensation.
The energy-saving control function is used for calculating the line loss of a power distribution grid or a power distribution station area, and specifically comprises the following steps of establishing a power distribution network optimization operation model, solving by using an optimization algorithm, calculating to obtain load flow distribution, power generation data and load data of the whole power distribution network, further analyzing and calculating the line loss or predicting the line loss of the power distribution network by using a data clustering analysis algorithm, and specifically comprising the following steps of obtaining load characteristic data such as the total load amount, the load rate and the load peak-valley difference of the power distribution network, setting a characteristic vector set of load characteristic data samples, dividing the characteristic vector set into K types, determining K initial clustering centers, and after initial clustering, dividing each sample into a specific type, wherein the distance between each sample and the type is the minimum, and finishing the clustering of the samples.
Preferably, the distribution network is a tree network topology structure, a distribution device in the network is used as a node and numbered, the number of the node and the numbers of a father node and a son byte of the node are used as a group of arrays, the fault management module acquires fault information uploaded by the distribution network, constructs a fault judgment model, judges and positions faults, and sets a fault linkage solution, specifically, the fault management module acquires the fault information uploaded by each node of the distribution network, combines the fault information according to the arrays, constructs a fault information combination, judges whether the fault information combination is abnormal according to the fault type and fault influence factors of the fault type on the father node and the son node, obtains a fault interval, and determines the fault solution according to the fault type and the fault interval.
The invention has the beneficial effects that: the intelligent management and control of power supply are realized, the purpose of saving electric energy is achieved, and meanwhile, fault positioning can be carried out as soon as possible after a fault occurs, and the fault can be rapidly eliminated.
In light of the foregoing description of the preferred embodiments of the present invention, those skilled in the art can now make various alterations and modifications without departing from the scope of the invention. The technical scope of the present invention is not limited to the contents of the specification, and must be determined according to the scope of the claims.

Claims (9)

1. An intelligent power supply system based on big data and the Internet of things is characterized by comprising a plurality of power utilization circuits with unique identification codes and unique position information, a plurality of power distribution networks configured according to the position information, an intelligent measurement and control box for acquiring the power and accumulated electric quantity of the power utilization circuits, a cloud server for power supply management based on a big data algorithm, an edge control terminal for edge calculation and edge control, and a communication gateway for data communication, wherein the intelligent measurement and control box, the power distribution networks and the edge control terminal perform data interaction with the cloud server through the communication gateway;
the cloud server comprises an energy-saving control module for realizing power supply and energy saving and a fault management module for realizing fault identification, wherein the energy-saving control module classifies according to the position, the function and the electric energy loss of the power utilization loop, establishes a classified power consumption analysis model with a multilayer structure, issues a control instruction to the intelligent measurement and control box through the classified power consumption analysis model to control the power supply time and the power supply power of the power utilization loop, and the intelligent measurement and control box acquires the electric quantity data of the power utilization loop and feeds the electric quantity data back to the energy-saving control module to realize energy-saving PID control; and the fault management module acquires the fault information uploaded by the power distribution network, constructs a fault judgment model, judges and positions faults and sets a fault linkage solution.
2. The intelligent power supply system based on big data and Internet of things according to claim 1, it is characterized in that the intelligent measurement and control box comprises a power supply module, a signal acquisition module, a clock circuit, a storage circuit, a main control circuit, a communication circuit and a relay, the power supply module is used for providing corresponding voltage for each circuit module, the signal acquisition module is used for acquiring current and voltage signals of the circuit and transmitting the current and voltage signals to the main control circuit, the clock circuit is connected with the main control circuit, the storage circuit is connected with the main control circuit, the main control circuit carries out accurate real-time monitoring and metering according to the clock signal, the current signal and the voltage signal, the main control circuit is connected with the edge control terminal through the communication circuit, and the edge control terminal controls the relay to realize energy-saving control and fault resolution.
3. The intelligent power supply system based on big data and the Internet of things according to claim 2, wherein the communication circuit is an RS485 communication circuit, a WiFi communication circuit, an Ethernet communication circuit or a 4G/5G communication circuit.
4. The intelligent power supply system based on big data and the Internet of things according to claim 2 or 3, the method is characterized in that the edge control terminal is connected with a classification power consumption analysis model based on a programming technology, and is also used for realizing basic information management, query and statistics, polling electric quantity data, power consumption loop remote control, abnormal error reporting and visual display of a power consumption loop, wherein the basic information management refers to unique identification codes and unique position information of the power consumption loop, the query and statistics include but are not limited to voltage/current query and statistics, relay query and statistics and accumulated electric quantity query and statistics, the polling electric quantity data refers to the timing polling power consumption loop and is stored, the power consumption loop remote control refers to control of a switch of a relay according to a control command issued by the classification power consumption analysis model, and the abnormal error reporting refers to error prompt in the operation process of the edge control terminal.
5. The intelligent power supply system based on big data and internet of things according to claim 1, wherein the distribution network is a tree-shaped network topology structure, the distribution devices in the network are used as a node and numbered, the number of the node and the numbers of the father node and the son byte are used as a group of arrays, the fault management module obtains the fault information uploaded by the distribution network, constructs a fault judgment model, judges and positions the fault, and sets a fault linkage solution, specifically, the fault management module obtains the fault information uploaded by each node of the distribution network, combines the fault information according to the arrays, constructs a fault information combination, judges whether the fault information combination is abnormal according to the fault type and the fault influence factors of the fault type on the father node and the son nodes, and obtains a fault section, and determining a fault solution according to the fault type and the fault interval.
6. The intelligent power supply system based on big data and the internet of things according to claim 5, wherein the power distribution network adopts GOOSE messages for information transmission.
7. An intelligent power supply method based on big data and the Internet of things is characterized by comprising the following steps:
s1, constructing a hardware architecture of an intelligent power supply system, wherein the intelligent power supply system comprises a plurality of power utilization loops with unique identification codes and unique position information, a plurality of power distribution networks configured according to the position information, an intelligent measurement and control box for acquiring the power and accumulated electric quantity of the power utilization loops, a cloud server for power supply management based on a big data algorithm, an edge control terminal for edge calculation and edge control, and a communication gateway for data communication, and the intelligent measurement and control box, the power distribution networks and the edge control terminal perform data interaction with the cloud server through the communication gateway;
s2, setting software functions of the intelligent power supply system including but not limited to an energy-saving control function and a fault management function, classifying the energy-saving control function according to the position, the function and the electric energy loss of the power utilization loop, establishing a classified power utilization and energy consumption analysis model with a multilayer structure, issuing a control instruction to the intelligent measurement and control box through the classified power utilization and energy consumption analysis model, controlling the power supply time and the power supply power of the power utilization loop, and acquiring the electric quantity data of the power utilization loop by the intelligent measurement and control box and feeding the electric quantity data back to the energy-saving control module to realize energy-saving PID control; and the fault management function acquires the fault information uploaded by the power distribution network, constructs a fault judgment model, judges and positions faults and sets a fault linkage solution.
8. The intelligent power supply method based on big data and Internet of things according to claim 7, it is characterized in that the intelligent measurement and control box comprises a power supply module, a signal acquisition module, a clock circuit, a storage circuit, a main control circuit, a communication circuit and a relay, the power supply module is used for providing corresponding voltage for each circuit module, the signal acquisition module is used for acquiring current and voltage signals of the circuit and transmitting the current and voltage signals to the main control circuit, the clock circuit is connected with the main control circuit, the storage circuit is connected with the main control circuit, the main control circuit carries out accurate real-time monitoring and metering according to the clock signal, the current signal and the voltage signal, the main control circuit is connected with the edge control terminal through the communication circuit, and the edge control terminal controls the relay to realize energy-saving control and fault resolution.
9. The intelligent power supply method based on big data and internet of things according to claim 7, wherein the distribution network is a tree-shaped network topology structure, the distribution devices in the network are used as a node and numbered, the number of the node and the numbers of the father node and the son byte are used as a group of arrays, the fault management module obtains the fault information uploaded by the distribution network, constructs a fault judgment model, judges and positions the fault, and sets a fault linkage solution, specifically, the fault management module obtains the fault information uploaded by each node of the distribution network, combines the fault information according to the arrays, constructs a fault information combination, judges whether the fault information combination is abnormal according to the fault type and the fault influence factors of the fault type on the father node and the son nodes, and obtains a fault section, and determining a fault solution according to the fault type and the fault interval.
CN202110254739.5A 2021-03-05 2021-03-05 Intelligent power supply system and method based on big data and Internet of things Withdrawn CN112953012A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114204675A (en) * 2021-11-15 2022-03-18 国网辽宁省电力有限公司葫芦岛供电公司 Power distribution station electric energy data acquisition terminal based on cloud edge cooperation
CN116231854A (en) * 2022-12-30 2023-06-06 成都卡德智能科技有限公司 Intelligent campus energy-saving management method and system based on Internet of things
CN116319262A (en) * 2023-05-24 2023-06-23 国网山西省电力公司长治供电公司 Communication fault data detection model of electric energy metering device

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114204675A (en) * 2021-11-15 2022-03-18 国网辽宁省电力有限公司葫芦岛供电公司 Power distribution station electric energy data acquisition terminal based on cloud edge cooperation
CN116231854A (en) * 2022-12-30 2023-06-06 成都卡德智能科技有限公司 Intelligent campus energy-saving management method and system based on Internet of things
CN116231854B (en) * 2022-12-30 2024-05-31 成都卡德智能科技有限公司 Intelligent campus energy-saving management method and system based on Internet of things
CN116319262A (en) * 2023-05-24 2023-06-23 国网山西省电力公司长治供电公司 Communication fault data detection model of electric energy metering device

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