CN117040105A - Fault self-adaption and self-healing method, intelligent agent terminal and intelligent terminal - Google Patents
Fault self-adaption and self-healing method, intelligent agent terminal and intelligent terminal Download PDFInfo
- Publication number
- CN117040105A CN117040105A CN202310745312.4A CN202310745312A CN117040105A CN 117040105 A CN117040105 A CN 117040105A CN 202310745312 A CN202310745312 A CN 202310745312A CN 117040105 A CN117040105 A CN 117040105A
- Authority
- CN
- China
- Prior art keywords
- fault
- node
- current
- phase
- power distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000012545 processing Methods 0.000 claims abstract description 140
- 238000012544 monitoring process Methods 0.000 claims abstract description 37
- 230000016507 interphase Effects 0.000 claims description 31
- 238000004891 communication Methods 0.000 claims description 24
- 238000004590 computer program Methods 0.000 claims description 17
- 230000006978 adaptation Effects 0.000 claims description 10
- 238000004422 calculation algorithm Methods 0.000 claims description 10
- 230000006870 function Effects 0.000 claims description 10
- 230000001133 acceleration Effects 0.000 claims description 6
- 239000002245 particle Substances 0.000 claims description 6
- 230000005611 electricity Effects 0.000 claims description 5
- 230000002441 reversible effect Effects 0.000 claims description 5
- 238000004092 self-diagnosis Methods 0.000 abstract description 5
- 239000003795 chemical substances by application Substances 0.000 description 70
- 238000010586 diagram Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 9
- 230000005540 biological transmission Effects 0.000 description 7
- 238000007726 management method Methods 0.000 description 7
- 230000009471 action Effects 0.000 description 5
- 238000013500 data storage Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012806 monitoring device Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000003062 neural network model Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 230000001052 transient effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- 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
- H02J13/00002—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 monitoring
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/02—Details
- H02H3/06—Details with automatic reconnection
- H02H3/063—Details concerning the co-operation of many similar arrangements, e.g. in a network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/08—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection responsive to excess current
- H02H3/093—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection responsive to excess current with timing means
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/08—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection responsive to excess current
- H02H3/10—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection responsive to excess current additionally responsive to some other abnormal electrical conditions
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/20—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection responsive to excess voltage
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/265—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured making use of travelling wave theory
-
- 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
- H02J13/00007—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 using the power network as support for the transmission
-
- 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
- H02J13/00016—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 using a wired telecommunication network or a data transmission bus
-
- 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
- H02J13/00016—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 using a wired telecommunication network or a data transmission bus
- H02J13/00017—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 using a wired telecommunication network or a data transmission bus using optical fiber
-
- 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
- H02J13/00022—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 using wireless data transmission
-
- 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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
- H02J13/0004—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers involved in a protection system
-
- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
- H02J3/0012—Contingency detection
Abstract
The embodiment of the application provides a fault self-adaption and self-healing method, an intelligent agent terminal and an intelligent terminal, and belongs to the technical field of power distribution network fault monitoring. The method comprises the following steps: receiving first electric quantity signals and fault signals of different branch nodes; determining the number of current fault nodes according to the received fault signals; if the number of the current fault nodes is single, sending a fault processing instruction to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can execute fault processing operation on the fault node according to a first fault processing rule corresponding to the fault node; if the number of the current fault nodes is multiple, determining a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electric quantity signals, executing fault processing operation for each fault node according to the second fault processing rule, and sending a fault processing result to the power distribution main station. The application effectively improves the fault self-diagnosis and self-healing efficiency of the power distribution network.
Description
Technical Field
The application relates to the technical field of power distribution network fault monitoring, in particular to a fault self-adaption and self-healing method, an intelligent agent terminal, an intelligent terminal, a power distribution network fault monitoring system, a machine-readable storage medium and terminal equipment.
Background
Distribution lines are key links in a distribution network, and have the widest coverage range and the largest network nodes in the distribution network. The feeder terminal is an important guarantee for realizing a power transmission and distribution system, the quantity of the feeder terminal in a power distribution network is various, the existing feeder terminal is low in intelligent level, nonuniform in standard and non-standard in communication protocol, and meanwhile plays roles of data acquisition, fault diagnosis and fault processing of a distribution line, and the real-time fault processing capability for transient faults is poor, so that the self-diagnosis and self-healing efficiency of the faults of the existing power distribution network are low, and the requirements of a power distribution network on flexibility, controllability, intelligence and reliability are difficult to meet.
Disclosure of Invention
The embodiment of the application aims to provide a fault self-adaption and self-healing method, an intelligent agent terminal and an intelligent terminal so as to solve the problems.
In order to achieve the above object, a first aspect of the present application provides a fault self-adapting and self-healing method, which is applied to an intelligent agent terminal, where the intelligent agent terminal is disposed at a trunk node of the power distribution network, the method includes:
Receiving first electric quantity signals and fault signals of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, wherein the fault signals are generated after the intelligent terminal corresponding to the branch node determines that the corresponding branch node is the fault node based on the collected first electric quantity signals;
determining the number of current fault nodes according to the received fault signals;
if the number of the current fault nodes is single, sending a fault processing instruction to an intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can execute fault processing operation on the fault node according to a first fault processing rule corresponding to the fault node;
and if the number of the current fault nodes is multiple, determining a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electric quantity signals, executing fault processing operation for each fault node according to the second fault processing rule, and sending a fault processing result to a power distribution main station.
Optionally, after receiving the fault signal, the method further comprises:
acquiring a second electrical quantity signal of the intelligent agent terminal;
and if the trunk node faults are determined according to the second electrical quantity signals, controlling the trunk node to be powered off or enter an island running state.
Optionally, the trunk node is disposed on a bus corresponding to the monitoring area, the branch node is disposed on a branch connected to the bus, and the second electrical quantity signal includes:
the voltage, inflow current and outflow current of the trunk node;
determining the backbone node failure from the second electrical quantity signal, comprising:
and if the inflow current of the trunk node is determined to be fault current, the outflow current of the trunk node is determined to be normal current, and the voltage of the trunk node is lower than the voltage threshold of the trunk node, determining that the trunk node has fault.
Optionally, after determining that the backbone node fails, the method further comprises:
and sending a state signal representing the trunk node fault to the adjacent intelligent agent terminal.
Optionally, the first electrical quantity signal comprises:
positive sequence voltage and positive sequence current of the corresponding branch nodes;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with the reference power flow direction of the corresponding branch node;
And if the current trend direction of the corresponding branch node is inconsistent with the reference trend direction, determining the corresponding branch node as a fault node.
Optionally, determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node includes:
if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is larger than 0, determining the current direction of the corresponding branch node as the positive current direction, and if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is smaller than 0, determining the current direction of the corresponding branch node as the opposite current direction.
Optionally, the first fault handling rule includes:
if the current trend direction of the fault node is the positive trend direction, switching the relay protection constant value area of the fault node to be a first relay protection constant value area;
and if the current power flow direction of the fault node is the reverse power flow direction, switching the relay protection constant value area of the fault node to be a second relay protection constant value area.
Optionally, the first electrical quantity signal comprises:
three-phase current and voltage corresponding to the branch node;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
If any one of single-phase grounding faults, two-phase short-circuit grounding faults, two-phase inter-phase short-circuit faults and three-phase inter-phase short-circuit faults exists in the corresponding branch nodes according to the three-phase currents and voltages of the corresponding branch nodes, the corresponding branch nodes are determined to be fault nodes.
Optionally, determining, according to the three-phase current and the voltage of the corresponding branch node, that any one of a single-phase ground fault, a two-phase short-circuit fault, a two-phase inter-phase short-circuit fault, and a three-phase inter-phase short-circuit fault exists in the corresponding branch node includes:
if no overcurrent exists in the corresponding branch node, but zero sequence voltage exists, determining that a single-phase grounding fault exists in the corresponding branch node;
if two-phase overcurrent exists in the corresponding branch node and zero-sequence voltage exists, determining that two-phase short-circuit ground faults exist in the corresponding branch node;
if only two-phase overcurrent exists in the corresponding branch node, determining that the two-phase interphase short circuit fault exists in the branch node;
if only three-phase overcurrent exists in the corresponding branch node, determining that the branch node should have a three-phase interphase short circuit fault.
Optionally, the first fault handling rule includes:
if the fault node has single-phase earth fault, performing single-phase earth traveling wave protection operation on the fault node;
If the fault node has a two-phase short circuit fault or a two-phase inter-phase short circuit fault, performing over-current protection and acceleration over-current protection operation and/or over-voltage protection and acceleration over-voltage protection operation on the fault node;
and if the fault node has a three-phase interphase short circuit fault, executing time-limiting overcurrent protection operation on the fault node.
Optionally, the network parameters of the power distribution network include a network topology structure of the power distribution network, and determining, according to the network parameters of the power distribution network and the received first electric quantity signals, a second fault processing rule for each fault node includes:
according to the received first electrical quantity signal, one or more of the loss of electricity, the number of switching operations, load balance, voltage quality, network loss and running cost of the power distribution network are taken as target functions, the network topology structure, node voltage and branch current of the power distribution network are taken as constraint conditions, a fault processing model of the power distribution network is established, the fault processing model of the power distribution network is calculated based on a binary particle swarm algorithm, and a fault processing scheme comprising switching operation of each node in the power distribution network is output, and the fault processing scheme is taken as a second fault processing rule.
The second aspect of the present application provides an intelligent agent terminal, which is disposed at a trunk node of a power distribution network, and applies the fault self-adaptation and self-healing method, where the intelligent agent terminal includes:
the data receiving module is configured to receive first electric quantity signals and fault signals of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, and the fault signals are generated after the intelligent terminal corresponding to the branch nodes determines that the corresponding branch nodes are fault nodes based on the collected first electric quantity signals;
a fault determination module configured to determine a number of current fault nodes in dependence upon the received fault signal;
the fault processing module is configured to send a fault processing instruction to the intelligent terminal corresponding to the fault node if the number of the current fault nodes is single, so that the corresponding intelligent terminal can execute fault processing operation on the fault node according to a first fault processing rule corresponding to the fault node; and
and if the number of the current fault nodes is multiple, determining a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electric quantity signals, executing fault processing operation for each fault node according to the second fault processing rule, and sending a fault processing result to a power distribution main station.
Optionally, the first electrical quantity signal comprises:
positive sequence voltage and positive sequence current of the corresponding branch nodes;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with the reference power flow direction of the corresponding branch node;
and if the current trend direction of the corresponding branch node is inconsistent with the reference trend direction, determining the corresponding branch node as a fault node.
Optionally, the first electrical quantity signal comprises:
three-phase current and voltage corresponding to the branch node;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
if any one of single-phase grounding faults, two-phase short-circuit grounding faults, two-phase inter-phase short-circuit faults and three-phase inter-phase short-circuit faults exists in the corresponding branch nodes according to the three-phase currents and voltages of the corresponding branch nodes, the corresponding branch nodes are determined to be fault nodes.
Optionally, the network parameters of the power distribution network include a network topology structure of the power distribution network, and determining, according to the network parameters of the power distribution network and the received first electric quantity signals, a second fault processing rule for each fault node includes:
According to the received first electrical quantity signal, one or more of the loss of electricity, the number of switching operations, load balance, voltage quality, network loss and running cost of the power distribution network are taken as target functions, the network topology structure, node voltage and branch current of the power distribution network are taken as constraint conditions, a fault processing model of the power distribution network is established, the fault processing model of the power distribution network is calculated based on a binary particle swarm algorithm, and a fault processing scheme comprising switching operation of each node in the power distribution network is output, and the fault processing scheme is taken as a second fault processing rule.
The third aspect of the present application provides a fault self-adapting and self-healing method, applied to an intelligent terminal, the method comprising:
acquiring a first electrical quantity signal of a corresponding branch node, if the corresponding branch node is determined to be a fault node based on the acquired first electrical quantity signal, generating a fault signal, and transmitting the first electrical quantity signal and the fault signal to an intelligent agent terminal; and
and responding to a fault processing instruction sent by the intelligent agent terminal, determining a first fault processing rule corresponding to the branch node according to the first electrical quantity signal, and executing fault processing operation on the branch node according to the first fault processing rule.
The fourth aspect of the present application provides an intelligent terminal, which is disposed at a branch node of a power distribution network, and applies the fault self-adaptation and self-healing method, where the intelligent terminal includes:
the data acquisition module is configured to acquire a first electrical quantity signal of a corresponding branch node, and if the corresponding branch node is determined to be a fault node based on the acquired first electrical quantity signal, a fault signal is generated, and the first electrical quantity signal and the fault signal are sent to the intelligent agent terminal;
the fault processing module is configured to respond to a fault processing instruction sent by the intelligent agent terminal, determine a first fault processing rule corresponding to the branch node according to the first electrical quantity signal, and execute fault processing operation on the branch node according to the first fault processing rule.
A fifth aspect of the present application provides a power distribution network fault monitoring system, including:
a power distribution main station;
at least one intelligent agent terminal as described above; and
a plurality of intelligent terminals as described above;
and the at least one intelligent agent terminal is in communication connection with the power distribution master station, and each intelligent agent terminal is in communication connection with a plurality of intelligent terminals.
A sixth aspect of the application provides a machine-readable storage medium having instructions stored thereon that, when executed by a processor, cause the processor to be configured to perform the fault adaptation and self-healing method described above.
A seventh aspect of the present application provides a terminal device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, said processor implementing the steps of the fault adaptation and self-healing method as described above when said computer program is executed.
According to the application, the number of the fault nodes in the monitoring area is determined by monitoring the electrical quantity signals of different branch nodes in the monitoring area, and different fault processing methods are optionally controlled to be executed on the fault nodes by the branch nodes or the trunk nodes according to the number of the fault nodes so as to process corresponding faults, so that the fault self-diagnosis and self-healing efficiency of the power distribution network are effectively improved.
Additional features and advantages of embodiments of the application will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the embodiments of the application. In the drawings:
FIG. 1 is a flow chart of a fault self-adapting and self-healing method according to a preferred embodiment of the present application;
Fig. 2 is a schematic structural diagram of a fault monitoring system for a power distribution network according to a preferred embodiment of the present application;
fig. 3 is a schematic diagram of fault monitoring logic of a power distribution network according to a preferred embodiment of the present application;
FIG. 4 is a schematic block diagram of an intelligent agent terminal provided by a preferred embodiment of the present application;
fig. 5 is a schematic diagram of an intelligent agent terminal hardware architecture according to a preferred embodiment of the present application;
fig. 6 is a schematic diagram of an intelligent agent terminal software architecture according to a preferred embodiment of the present application;
FIG. 7 is a flow chart of another method for fault adaptation and self-healing according to the preferred embodiment of the present application;
FIG. 8 is a schematic block diagram of an intelligent terminal provided in a preferred embodiment of the present application;
fig. 9 is a schematic diagram of an intelligent terminal software architecture according to a preferred embodiment of the present application;
fig. 10 is a schematic diagram of a terminal device according to a preferred embodiment of the present application.
Description of the reference numerals
10-terminal equipment, 100-processor, 101-memory, 102-computer program.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the detailed description described herein is merely for illustrating and explaining the embodiments of the present application, and is not intended to limit the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, the technical solutions of the embodiments of the present application may be combined with each other, but it is necessary to be based on the fact that those skilled in the art can implement the embodiments, and when the technical solutions are contradictory or cannot be implemented, it should be considered that the combination of the technical solutions does not exist, and is not within the scope of protection required by the present application.
Along with the promotion of novel electric power system construction progress, distributed resource permeability such as distributed photovoltaic, distributed wind-powered electricity generation, flexible load constantly improves, and many distribution networks have changed the form of traditional distribution network, and novel distribution network faces a great deal of challenges, like: failure frequent occurrence, failure to ensure the reliability of power supply and the like; the feeder terminal is an important guarantee for realizing a power transmission and distribution system, the feeder terminal equipment is various in types, poor in compatibility and expandability at present, and the real-time fault processing capability of the existing feeder terminal for transient faults is poor, so that the self-diagnosis and self-healing of fault types, fault directions and fault protection are difficult to realize.
In order to solve the above problems, as shown in fig. 1, a first aspect of the present application provides a fault self-adapting and self-healing method, which is applied to an intelligent agent terminal, where the intelligent agent terminal is disposed at a backbone node of a power distribution network, and the method includes:
Receiving first electric quantity signals and fault signals of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, wherein the fault signals are generated after the intelligent terminal corresponding to the branch nodes determines that the corresponding branch nodes are fault nodes based on the collected first electric quantity signals;
determining the number of current fault nodes according to the received fault signals;
if the number of the current fault nodes is single, sending a fault processing instruction to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can execute fault processing operation on the fault node according to a first fault processing rule corresponding to the fault node;
if the number of the current fault nodes is multiple, determining a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electric quantity signals, executing fault processing operation for each fault node according to the second fault processing rule, and sending a fault processing result to the power distribution main station.
Therefore, the application monitors the electrical quantity signals of different branch nodes in the monitoring area to determine the number of the fault nodes in the monitoring area, and selectively controls the branch nodes or the trunk nodes to execute different fault processing methods on the fault nodes according to the number of the fault nodes so as to process corresponding faults, thereby effectively improving the fault self-diagnosis and self-healing efficiency of the power distribution network.
Existing distribution networks are typically controlled by dividing the power grid into a plurality of areas, for example, dividing the power grid into a plurality of structural levels according to voltage levels of the power grid, dividing the power grid into a plurality of power supply areas including different structural levels according to power supply capacity, and arranging corresponding power supply according to power loads in each area so as to approximately balance power supply and demand in the area. In general, an area is formed by a section of bus, and a plurality of branches such as a trunk branch, a power branch, and a distribution transformer branch connected to the bus, and in order to ensure normal operation of a power distribution network, corresponding monitoring devices are deployed at each node in the area, and electrical quantity signals of each node are monitored to determine whether a fault exists in a current node, and when the fault exists, corresponding fault processing is performed, for example, the current node is disconnected. However, the existing monitoring devices often independently execute operations such as signal acquisition and fault processing of corresponding nodes, data interaction cannot be performed among the monitoring devices, and when a plurality of fault points exist in an area, a fault processing scheme cannot be determined quickly and efficiently, so that effective self-healing processing of faults in the area is difficult.
In order to solve the above problems, as shown in fig. 2, the fault monitoring system for a power distribution network according to the present application monitors, for each area of the power distribution network, the operation condition of each node in the area by setting an intelligent agent terminal on a bus segment of the area, that is, a trunk node of the area. The intelligent terminals arranged on the nodes are used for collecting state information of a breaker, a transformer and the like of the corresponding nodes, switching state information of the switching devices, current information, voltage information and the like of the corresponding power transmission lines. For example, the first electrical quantity signal may be a telemetry signal such as an AB line voltage, a BC line voltage, an a-phase voltage, a B-phase voltage, a C-phase voltage, a power source side zero sequence voltage, a load side zero sequence voltage, a negative sequence current, a battery voltage, and a telemetry signal such as a switch close, a switch split, and a device status. The intelligent terminal judges whether the current node has a fault according to the collected signals, if so, the intelligent terminal generates a fault signal, the collected first electrical quantity signals and the fault signal are sent to the intelligent agent terminal, and after the intelligent agent terminal receives the fault signal, the intelligent agent terminal judges the number of the fault nodes in the current corresponding monitoring area according to the received fault signal. It can be understood that the fault signal at least includes identification information of the corresponding intelligent terminal, so that the intelligent agent terminal can determine which nodes the fault signal comes from according to the identification information of the intelligent terminal, and further determine the number of the fault nodes. The determining the number of the current fault nodes may be determining the number of the fault nodes within a preset duration after the fault signal is received, for example, waiting for the preset duration after the fault signal is received for the first time, and calculating the number of the fault nodes corresponding to the fault signal received within the time period after the preset duration is finished.
The intelligent agent terminal adaptively determines a corresponding fault processing scheme according to the number of the fault nodes, if the number of the fault nodes is 1, the intelligent agent terminal sends a fault processing instruction to the corresponding intelligent terminal, after receiving the fault processing instruction, the intelligent terminal determines a fault type based on an edge computing technology according to the acquired first electrical quantity signal, and invokes a corresponding first fault processing rule to execute fault processing operation, so that rapid detection and isolation of faults are realized; if the number of the fault nodes is multiple, the intelligent agent terminal executes corresponding calculation to generate a corresponding fault processing scheme according to the number of the fault nodes and the corresponding fault types in order to improve the fault self-healing capacity and the efficiency of the whole monitoring area, so that the cooperative coordination protection of all the intelligent terminals is realized, the fault self-adaptation capacity of the power distribution network is improved, and the whole power supply level is improved. It can be understood that the intelligent agent terminal may invoke the pre-trained neural network model to output a corresponding fault processing scheme based on the received first electrical quantity signal and the fault class technical fault node, and the training method of the neural network model is not limited herein. Meanwhile, the intelligent agent terminal sends information such as a fault processing scheme and an execution result to the power distribution master station on the cloud side for storage and display, and the power distribution master station can send relevant instructions to all the intelligent agent terminals to realize adjustment and control of the intelligent terminals in the monitoring area of the intelligent agent terminals.
The intelligent agent terminal is used for adaptively determining a fault execution scheme according to the number of fault nodes in a monitoring area, so that the fault processing efficiency and self-healing capacity of the power distribution network can be effectively improved.
In order to further improve accuracy of fault monitoring, in the application, after receiving the fault signal, the intelligent agent terminal further judges whether the fault comes from the inside or the outside of the corresponding monitoring area, and the method further comprises the following steps: acquiring a second electrical quantity signal of the intelligent agent terminal; and if the main node is determined to be faulty according to the second electric quantity signal, controlling the main node to be powered off or enter an island running state.
It can be understood that the trunk node is disposed on the bus corresponding to the monitoring area, the branch node is disposed on the branch connected to the bus, and the second electrical quantity signal includes: the voltage, inflow current and outflow current of the trunk node; as shown in fig. 3, determining a backbone node failure from the second electrical quantity signal includes: if the inflow current of the trunk node is determined to be fault current, the outflow current of the trunk node is determined to be normal current, and the voltage of the trunk node is lower than the voltage threshold of the trunk node, the trunk node fault is determined. For example, if the intelligent agent terminal determines that the inflow current of the branch connected with the trunk node is a fault current, such as an excessive current or an excessively small current, and the outflow current of the branch is a normal current, the intelligent agent terminal indicates that a fault exists in a monitoring area of the intelligent agent terminal, if the intelligent agent terminal further judges that the voltage of the trunk node, such as a corresponding bus, is lower than a voltage threshold, the intelligent agent terminal indicates that the trunk node is faulty, at the moment, the intelligent agent terminal controls the trunk node to be powered off or enter an island running state, and meanwhile, the current intelligent agent terminal sends a state signal representing the fault of the trunk node to an adjacent intelligent agent terminal; if the current flowing out of the branch is also fault current, the fault exists outside the monitoring area of the intelligent agent terminal, namely, the fault exists outside the trunk node, the fault enters the node external fault judging logic, and the current intelligent agent terminal communicates with the adjacent intelligent agent terminals, such as sending external fault information to the adjacent intelligent agent terminals, so as to inform each adjacent intelligent agent terminal to execute fault detection and processing, and control corresponding switching actions.
If it is determined that the intelligent agent terminal corresponds to a fault in the monitoring area, entering a fault processing logic of the monitoring area, and if only a single fault node exists in the monitoring area, in a specific example, the first electrical quantity signal includes: positive sequence voltage and positive sequence current of the corresponding branch nodes; determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including: determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with the reference power flow direction of the corresponding branch node; and if the current trend direction of the corresponding branch node is inconsistent with the reference trend direction, determining the corresponding branch node as a fault node. It can be understood that the reference current direction is the current direction on the branch node when the power distribution network operates normally, and if the current direction is not consistent with the reference current direction according to the collected positive sequence voltage and positive sequence current, the current direction is suddenly changed, that is, the node has a fault.
The method for determining the current trend direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node comprises the following steps: if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is larger than 0, determining the current direction of the corresponding branch node as the positive current direction, and if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is smaller than 0, determining the current direction of the corresponding branch node as the opposite current direction.
Aiming at abrupt change faults in the trend direction, the intelligent terminal invokes a preset first fault processing rule to execute corresponding fault processing operation, wherein the first fault processing rule comprises: if the current trend direction of the fault node is the positive trend direction, switching the relay protection constant value area of the fault node to be a first relay protection constant value area; if the current power flow direction of the fault node is the reverse power flow direction, switching the relay protection constant value area of the fault node to be a second relay protection constant value area. It can be understood that a configuration table comprising different fault categories and corresponding fault handling schemes can be pre-constructed, the configuration table can be pre-stored in the intelligent terminal, and the intelligent terminal can directly call the configuration table when the fault handling is executed.
In another specific example, the first electrical quantity signal includes: three-phase current and voltage corresponding to the branch node; determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including: if any one of single-phase grounding faults, two-phase short-circuit grounding faults, two-phase inter-phase short-circuit faults and three-phase inter-phase short-circuit faults exists in the corresponding branch nodes according to the three-phase currents and voltages of the corresponding branch nodes, the corresponding branch nodes are determined to be fault nodes.
Wherein, confirm that there is any one in single-phase earth fault, two-phase short circuit fault, two-phase inter-phase short circuit fault and three-phase inter-phase short circuit fault corresponding to branch node according to the three-phase current and voltage of corresponding branch node, include: if no overcurrent exists in the corresponding branch node, but zero sequence voltage exists, determining that a single-phase grounding fault exists in the corresponding branch node; if two-phase overcurrent exists in the corresponding branch node and zero-sequence voltage exists, determining that two-phase short-circuit ground faults exist in the corresponding branch node; if only two-phase overcurrent exists in the corresponding branch node, determining that the two-phase interphase short circuit fault exists in the branch node; if only three-phase overcurrent exists in the corresponding branch node, determining that the branch node should have a three-phase interphase short circuit fault. If the fault is judged to be a two-phase short-circuit fault or a two-phase interphase short-circuit fault, the intelligent terminal can judge the direction type of the fault according to corresponding electrical values, such as the number product of negative sequence voltage and current, if the number product is more than 0, the intelligent terminal judges to be a reverse fault, otherwise the intelligent terminal is a forward fault, and therefore self-adaptive judgment of the fault direction is achieved.
Then, a first fault handling rule comprising: if the fault node has single-phase earth fault, performing single-phase earth traveling wave protection operation on the fault node; if the fault node has a two-phase short circuit fault or a two-phase inter-phase short circuit fault, if the fault direction is a reverse fault, performing low-voltage protection on the fault node, and if the fault direction is a forward fault, performing over-current protection and acceleration over-current protection operation and/or over-voltage protection and acceleration over-voltage protection operation on the fault node; and if the fault node has a three-phase interphase short circuit fault, executing time-limiting overcurrent protection operation on the fault node.
If multiple fault nodes exist in the monitoring area, the intelligent agent terminal needs to generate corresponding network allocation and reconstruction schemes according to first electrical quantity signals of the fault nodes, fault types, positions of the fault nodes in the power distribution network and the like so as to perform fault processing on the fault nodes. The network parameters of the power distribution network at least comprise a network topology structure of the power distribution network, and the second fault processing rule for each fault node is determined according to the network parameters of the power distribution network and the received first electric quantity signals, and the method comprises the following steps: according to the received first electric quantity signal, one or more of the loss load quantity, the switching operation times, the load balance, the voltage quality, the network loss and the running cost of the power distribution network are taken as target functions, the network topology structure, the node voltage and the branch current of the power distribution network are taken as constraint conditions, a fault processing model of the power distribution network is established, the fault processing model of the power distribution network is calculated based on a binary particle swarm algorithm (MA-PSO) algorithm, a fault processing scheme comprising switching operation of each node in the power distribution network is output, and the fault processing scheme is taken as a second fault processing rule, so that the self-healing of faults in the monitoring area of the intelligent agent terminal is realized. In the process of establishing the fault processing model of the power distribution network, the corresponding objective function and constraint conditions can be determined according to the specific situation of the power distribution network, which is not limited herein, and it can be understood that the MA-PSO algorithm is the prior art, and the calculation process thereof is not repeated herein.
As shown in fig. 4, a second aspect of the present application provides an intelligent agent terminal, which is disposed at a backbone node of a power distribution network, and the intelligent agent terminal includes:
the data receiving module is configured to receive first electric quantity signals and fault signals of different branch nodes in the monitoring area corresponding to the intelligent agent terminal, and the fault signals are generated after the intelligent terminal corresponding to the branch nodes determines that the corresponding branch node is the fault node based on the collected first electric quantity signals;
a fault determination module configured to determine a number of current fault nodes in dependence upon the received fault signal;
the fault processing module is configured to send a fault processing instruction to the intelligent terminal corresponding to the fault node if the number of the current fault nodes is single, so that the corresponding intelligent terminal can execute fault processing operation on the fault node according to a first fault processing rule corresponding to the fault node; and
if the number of the current fault nodes is multiple, determining a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electric quantity signals, executing fault processing operation for each fault node according to the second fault processing rule, and sending a fault processing result to the power distribution main station.
Optionally, the first electrical quantity signal comprises:
positive sequence voltage and positive sequence current of the corresponding branch nodes;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with the reference power flow direction of the corresponding branch node;
and if the current trend direction of the corresponding branch node is inconsistent with the reference trend direction, determining the corresponding branch node as a fault node.
Optionally, the first electrical quantity signal comprises:
three-phase current and voltage corresponding to the branch node;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
if any one of single-phase grounding faults, two-phase short-circuit grounding faults, two-phase inter-phase short-circuit faults and three-phase inter-phase short-circuit faults exists in the corresponding branch nodes according to the three-phase currents and voltages of the corresponding branch nodes, the corresponding branch nodes are determined to be fault nodes.
Optionally, the network parameters of the power distribution network include a network topology structure of the power distribution network, and determining the second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electric quantity signal includes:
According to the received first electric quantity signal, one or more of the power loss load quantity, the switching operation times, the load balance, the voltage quality, the network loss and the running cost of the power distribution network are taken as target functions, the network topology structure, the node voltage and the branch current of the power distribution network are taken as constraint conditions, a fault processing model of the power distribution network is established, the fault processing model of the power distribution network is calculated based on a binary particle swarm algorithm, a fault processing scheme comprising switching operation of each node in the power distribution network is output, and the fault processing scheme is taken as a second fault processing rule.
It will be appreciated by those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
As shown in fig. 5, the intelligent agent terminal of the application adopts an object-oriented information model of IEC 61850 standard and adopts an internet of things communication protocol of DDS, and mainly realizes information acquisition/storage and transmission, instruction issuing and real-time control of a switch, a power line, a transformer and the like monitored by the intelligent agent terminal, and transmits a judging result and an action scheme to a cloud side distribution master station.
In a specific example, the intelligent agent terminal of the application is composed of a main control chip, an AI chip, a communication module, a battery management module, a data storage module, a camera module, a security control module and an operation panel module.
The battery management module consists of a power supply conversion chip and a control circuit, an input power supply converts voltage into voltage levels required by each module through DC/DC, supplies power for the AI chip, the data storage module, the safety control module and the operation panel module respectively, and simultaneously comprises a standby power supply to prevent the equipment from operating normally within a certain time after the main power supply is in power failure; the AI chip performs data interaction with the main control chip on one hand, is used for performing reasoning and calculation of the artificial intelligent algorithm model on the other hand, and can perform wiring foreign matter identification; the main control chip is mainly composed of CPU processing, an interface module and a bus module. The CPU is composed of a main control CPU and a measurement and control CPU, wherein the main control CPU mainly realizes communication, protocol analysis, liquid crystal display, control output, clock configuration, timer configuration, watchdog configuration and other peripheral devices, and the measurement and control CPU mainly realizes signal acquisition, such as remote signaling, alternating voltage/current signals, power, switch state protection logic, outlet action and the like; the interface module is provided with various interface types, such as an Ethernet interface, a serial communication interface, a USB interface, a maintenance serial communication interface and the like, and the interfaces are connected through the USB interface extension module, so that interface conversion is realized by adopting a plug-in structure, and compatibility and interoperability among the interfaces are improved; the bus module comprises a data bus, an address bus, a CAN bus and the like; the communication module comprises a remote communication module and a local communication module, and the remote communication module is communicated with the power distribution master station in a 4G, 5G and optical fiber communication mode; the local communication is communicated with adjacent intelligent terminal equipment through communication modes such as RS485, RS232, power line carrier, micropower wireless and the like; the data storage module comprises flash memory and random memory for realizing real-time data storage and history data storage and management; the safety control module encrypts and decrypts the collected data, communication protocols and the like; the operation panel realizes liquid crystal display, indicator lights, buttons and the like; the camera module is combined with the IA chip, so that intelligent identification of foreign matters in the distribution line can be realized, and a field real-time picture is transmitted to a monitoring background of the master station.
As shown in fig. 6, the self-adaptive software architecture of the intelligent agent terminal device of the present application further includes a self-healing module and a fault self-adaptive module on the basis of the basic platform, the software of the operating system, the resource virtualization module, the communication acquisition module, the management service module, the data bus module, and the information security module. The basic platform module comprises a hardware and software communication interface, a driver, a basic operating system, an AI engine, a storage, calculation and access interface and other systems and modules; the resource virtualization module mainly comprises a management container for distributing hardware resources, and realizes the access of a message interface and a hardware interface to the container; the communication acquisition module interacts with the hardware interface and is responsible for reading, writing and forwarding data; the management service module is used for providing support for data, information, management and the like, so that the operation of the fault self-adaptive module is more standardized, and the efficiency is improved; the information security module mainly realizes the security of data during acquisition, transmission, access and communication; the self-healing module is used for realizing self-healing of faults in the area and comprises a knowledge and rule making module and a decision analysis module. The knowledge and rule making module stores a logic rule and a setting value of the protection action; the decision analysis module combines the self database, the knowledge rule base and the intelligent algorithm to make decision judgment, and issues an execution instruction to the terminal device through control output to control the action of each breaker.
As shown in fig. 7, a third aspect of the present application provides a fault self-adapting and self-healing method, applied to an intelligent terminal, the method includes:
acquiring a first electrical quantity signal of a corresponding branch node, if the corresponding branch node is determined to be a fault node based on the acquired first electrical quantity signal, generating a fault signal, and transmitting the first electrical quantity signal and the fault signal to an intelligent agent terminal; and
and responding to the fault processing instruction sent by the intelligent agent terminal, determining a first fault processing rule corresponding to the branch node according to the first electrical quantity signal, and executing the fault processing operation of the branch node according to the first fault processing rule.
As shown in fig. 8, a fourth aspect of the present application provides an intelligent terminal, which is disposed at a branch node of a power distribution network, and the intelligent terminal includes:
the data acquisition module is configured to acquire a first electrical quantity signal of a corresponding branch node, and if the corresponding branch node is determined to be a fault node based on the acquired first electrical quantity signal, a fault signal is generated, and the first electrical quantity signal and the fault signal are sent to the intelligent agent terminal;
the fault processing module is configured to respond to a fault processing instruction sent by the intelligent agent terminal, determine a first fault processing rule corresponding to the branch node according to the first electrical quantity signal, and execute fault processing operation on the branch node according to the first fault processing rule.
The hardware architecture of the intelligent terminal is consistent with that of the intelligent agent terminal, and the description is omitted here. The software architecture of the intelligent terminal is shown in fig. 9, and the software architecture comprises a basic platform, an operating system, a resource virtualization module, a communication acquisition module, a management service module, a data bus module, an information security module and a fault self-adaptation module, wherein the fault self-adaptation module at least comprises units of load flow direction self-adaptation, fault type self-adaptation, fault direction self-adaptation, protection type self-adaptation and the like, and is used for realizing self-adaptation under the fault condition.
A fifth aspect of the present application provides a power distribution network fault monitoring system, including:
a power distribution main station;
at least one intelligent agent terminal as described above; and
a plurality of intelligent terminals as above;
at least one intelligent agent terminal is in communication connection with the power distribution master station, and each intelligent agent terminal is in communication connection with a plurality of intelligent terminals.
A sixth aspect of the application provides a machine-readable storage medium having instructions stored thereon that, when executed by a processor, cause the processor to be configured to perform the fault adaptation and self-healing method described above.
Machine-readable storage media include both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
A seventh aspect of the present application provides a terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the fault adaptation and self-healing method as described above when executing the computer program.
Fig. 10 is a schematic diagram of a terminal device according to an embodiment of the present application. As shown in fig. 10, the terminal device 10 of this embodiment includes: a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. The steps of the method embodiments described above are implemented by the processor 100 when executing the computer program 102. Alternatively, the processor 100, when executing the computer program 102, performs the functions of the modules/units of the apparatus embodiments described above.
By way of example, computer program 102 may be partitioned into one or more modules/units that are stored in memory 101 and executed by processor 100 to accomplish the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program 102 in the terminal device 10.
The terminal device 10 may be a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud server. Terminal device 10 may include, but is not limited to, a processor 100, a memory 101. It will be appreciated by those skilled in the art that fig. 10 is merely an example of the terminal device 10 and is not limiting of the terminal device 10, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the terminal device may also include input-output devices, network access devices, buses, etc.
The processor 100 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-ProgrammaBLle Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 101 may be an internal storage unit of the terminal device 10, such as a hard disk or a memory of the terminal device 10. The memory 101 may also be an external storage device of the terminal device 10, such as a plug-in hard disk provided on the terminal device 10, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like. Further, the memory 101 may also include both an internal storage unit and an external storage device of the terminal device 10. The memory 101 is used to store computer programs and other programs and data required by the terminal device 10. The memory 101 may also be used to temporarily store data that has been output or is to be output.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (20)
1. The fault self-adaption and self-healing method is applied to an intelligent agent terminal, and the intelligent agent terminal is arranged on a trunk node of a power distribution network, and is characterized by comprising the following steps:
receiving first electric quantity signals and fault signals of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, wherein the fault signals are generated after the intelligent terminal corresponding to the branch node determines that the corresponding branch node is the fault node based on the collected first electric quantity signals;
determining the number of current fault nodes according to the received fault signals;
if the number of the current fault nodes is single, sending a fault processing instruction to an intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can execute fault processing operation on the fault node according to a first fault processing rule corresponding to the fault node;
and if the number of the current fault nodes is multiple, determining a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electric quantity signals, executing fault processing operation for each fault node according to the second fault processing rule, and sending a fault processing result to a power distribution main station.
2. The method of fault adaptation and self-healing according to claim 1, wherein after receiving the fault signal, the method further comprises:
acquiring a second electrical quantity signal of the intelligent agent terminal;
and if the trunk node faults are determined according to the second electrical quantity signals, controlling the trunk node to be powered off or enter an island running state.
3. The fault self-adapting and self-healing method according to claim 2, wherein the trunk node is disposed on a bus corresponding to the monitoring area, the branch node is disposed on a branch connected to the bus, and the second electrical quantity signal includes:
the voltage, inflow current and outflow current of the trunk node;
determining the backbone node failure from the second electrical quantity signal, comprising:
and if the inflow current of the trunk node is determined to be fault current, the outflow current of the trunk node is determined to be normal current, and the voltage of the trunk node is lower than the voltage threshold of the trunk node, determining that the trunk node has fault.
4. The method of claim 3, wherein after determining that the backbone node has failed, the method further comprises:
And sending a state signal representing the trunk node fault to the adjacent intelligent agent terminal.
5. The fault-adaptation and self-healing method according to claim 1, wherein the first electrical quantity signal comprises:
positive sequence voltage and positive sequence current of the corresponding branch nodes;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with the reference power flow direction of the corresponding branch node;
and if the current trend direction of the corresponding branch node is inconsistent with the reference trend direction, determining the corresponding branch node as a fault node.
6. The method of claim 5, wherein determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node comprises:
if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is larger than 0, determining the current direction of the corresponding branch node as the positive current direction, and if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is smaller than 0, determining the current direction of the corresponding branch node as the opposite current direction.
7. The method of claim 6, wherein the first fault handling rule comprises:
if the current trend direction of the fault node is the positive trend direction, switching the relay protection constant value area of the fault node to be a first relay protection constant value area;
and if the current power flow direction of the fault node is the reverse power flow direction, switching the relay protection constant value area of the fault node to be a second relay protection constant value area.
8. The fault-adaptation and self-healing method according to claim 1, wherein the first electrical quantity signal comprises:
three-phase current and voltage corresponding to the branch node;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
if any one of single-phase grounding faults, two-phase short-circuit grounding faults, two-phase inter-phase short-circuit faults and three-phase inter-phase short-circuit faults exists in the corresponding branch nodes according to the three-phase currents and voltages of the corresponding branch nodes, the corresponding branch nodes are determined to be fault nodes.
9. The fault self-adapting and self-healing method according to claim 8, wherein determining that any one of a single-phase ground fault, a two-phase short circuit fault, a two-phase inter-phase short circuit fault and a three-phase inter-phase short circuit fault exists in the corresponding branch node according to the three-phase current and the voltage of the corresponding branch node comprises:
If no overcurrent exists in the corresponding branch node, but zero sequence voltage exists, determining that a single-phase grounding fault exists in the corresponding branch node;
if two-phase overcurrent exists in the corresponding branch node and zero-sequence voltage exists, determining that two-phase short-circuit ground faults exist in the corresponding branch node;
if only two-phase overcurrent exists in the corresponding branch node, determining that the two-phase interphase short circuit fault exists in the branch node;
if only three-phase overcurrent exists in the corresponding branch node, determining that the branch node should have a three-phase interphase short circuit fault.
10. The method of claim 9, wherein the first fault handling rule comprises:
if the fault node has single-phase earth fault, performing single-phase earth traveling wave protection operation on the fault node;
if the fault node has a two-phase short circuit fault or a two-phase inter-phase short circuit fault, performing over-current protection and acceleration over-current protection operation and/or over-voltage protection and acceleration over-voltage protection operation on the fault node;
and if the fault node has a three-phase interphase short circuit fault, executing time-limiting overcurrent protection operation on the fault node.
11. The method of claim 1, wherein the network parameters of the power distribution network include a network topology of the power distribution network, and determining the second fault handling rule for each fault node according to the network parameters of the power distribution network and the received first electrical quantity signal includes:
According to the received first electrical quantity signal, one or more of the loss of electricity, the number of switching operations, load balance, voltage quality, network loss and running cost of the power distribution network are taken as target functions, the network topology structure, node voltage and branch current of the power distribution network are taken as constraint conditions, a fault processing model of the power distribution network is established, the fault processing model of the power distribution network is calculated based on a binary particle swarm algorithm, and a fault processing scheme comprising switching operation of each node in the power distribution network is output, and the fault processing scheme is taken as a second fault processing rule.
12. An intelligent agent terminal, which is disposed at a backbone node of a power distribution network, and is applied to the fault self-adaptation and self-healing method according to any one of claims 1 to 11, and is characterized in that the intelligent agent terminal comprises:
the data receiving module is configured to receive first electric quantity signals and fault signals of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, and the fault signals are generated after the intelligent terminal corresponding to the branch nodes determines that the corresponding branch nodes are fault nodes based on the collected first electric quantity signals;
The fault determining module is configured to determine the number of the current fault nodes according to the received fault signals;
the fault processing module is configured to send a fault processing instruction to the intelligent terminal corresponding to the fault node if the number of the current fault nodes is single, so that the corresponding intelligent terminal can execute fault processing operation on the fault node according to a first fault processing rule corresponding to the fault node; and
and if the number of the current fault nodes is multiple, determining a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electric quantity signals, executing fault processing operation for each fault node according to the second fault processing rule, and sending a fault processing result to a power distribution main station.
13. The intelligent agent terminal of claim 12, wherein the first electrical quantity signal comprises:
positive sequence voltage and positive sequence current of the corresponding branch nodes;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with the reference power flow direction of the corresponding branch node;
And if the current trend direction of the corresponding branch node is inconsistent with the reference trend direction, determining the corresponding branch node as a fault node.
14. The intelligent agent terminal of claim 12, wherein the first electrical quantity signal comprises:
three-phase current and voltage corresponding to the branch node;
determining, based on the collected first electrical quantity signal, the corresponding branch node as a fault node, including:
if any one of single-phase grounding faults, two-phase short-circuit grounding faults, two-phase inter-phase short-circuit faults and three-phase inter-phase short-circuit faults exists in the corresponding branch nodes according to the three-phase currents and voltages of the corresponding branch nodes, the corresponding branch nodes are determined to be fault nodes.
15. The intelligent agent terminal of claim 12, wherein the network parameters of the power distribution network include a network topology of the power distribution network, and determining the second fault handling rule for each fault node based on the network parameters of the power distribution network and the received first electrical quantity signal includes:
according to the received first electrical quantity signal, one or more of the loss of electricity, the number of switching operations, load balance, voltage quality, network loss and running cost of the power distribution network are taken as target functions, the network topology structure, node voltage and branch current of the power distribution network are taken as constraint conditions, a fault processing model of the power distribution network is established, the fault processing model of the power distribution network is calculated based on a binary particle swarm algorithm, and a fault processing scheme comprising switching operation of each node in the power distribution network is output, and the fault processing scheme is taken as a second fault processing rule.
16. The fault self-adaption and self-healing method is applied to an intelligent terminal and is characterized by comprising the following steps:
acquiring a first electrical quantity signal of a corresponding branch node, if the corresponding branch node is determined to be a fault node based on the acquired first electrical quantity signal, generating a fault signal, and transmitting the first electrical quantity signal and the fault signal to an intelligent agent terminal; and
and responding to a fault processing instruction sent by the intelligent agent terminal, determining a first fault processing rule corresponding to the branch node according to the first electrical quantity signal, and executing fault processing operation on the branch node according to the first fault processing rule.
17. An intelligent terminal, which is arranged at a branch node of a power distribution network and is used for the fault self-adaptation and self-healing method according to claim 16, the intelligent terminal is characterized in that the intelligent terminal comprises:
the data acquisition module acquires first electrical quantity signals of the corresponding branch nodes, if the corresponding branch nodes are determined to be fault nodes based on the acquired first electrical quantity signals, fault signals are generated, and the first electrical quantity signals and the fault signals are sent to the intelligent agent terminal;
the fault processing module is configured to respond to a fault processing instruction sent by the intelligent agent terminal, determine a first fault processing rule corresponding to the branch node according to the first electrical quantity signal, and execute fault processing operation on the branch node according to the first fault processing rule.
18. A power distribution network fault monitoring system, comprising:
a power distribution main station;
at least one intelligent agent terminal according to claim 12; and
a plurality of intelligent terminals as claimed in claim 17;
and the at least one intelligent agent terminal is in communication connection with the power distribution master station, and each intelligent agent terminal is in communication connection with a plurality of intelligent terminals.
19. A machine-readable storage medium having instructions stored thereon, which when executed by a processor cause the processor to be configured to perform the fault adaptation and self-healing method of any one of claims 1 to 11, or which when executed by a processor cause the processor to be configured to perform the fault adaptation and self-healing method of claim 16.
20. Terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the fault adaptation and self-healing method according to any one of claims 1 to 11 when the computer program is executed or the processor implements the fault adaptation and self-healing method according to claim 16 when the computer program is executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310745312.4A CN117040105A (en) | 2023-06-21 | 2023-06-21 | Fault self-adaption and self-healing method, intelligent agent terminal and intelligent terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310745312.4A CN117040105A (en) | 2023-06-21 | 2023-06-21 | Fault self-adaption and self-healing method, intelligent agent terminal and intelligent terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117040105A true CN117040105A (en) | 2023-11-10 |
Family
ID=88630618
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310745312.4A Pending CN117040105A (en) | 2023-06-21 | 2023-06-21 | Fault self-adaption and self-healing method, intelligent agent terminal and intelligent terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117040105A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117674140A (en) * | 2024-01-31 | 2024-03-08 | 希格玛电气(珠海)有限公司 | Power distribution network measurement and control system and method |
-
2023
- 2023-06-21 CN CN202310745312.4A patent/CN117040105A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117674140A (en) * | 2024-01-31 | 2024-03-08 | 希格玛电气(珠海)有限公司 | Power distribution network measurement and control system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107231430B (en) | Charging pile, charging pile networking architecture and charging pile management method | |
| CN103475059B (en) | Multiple-channel output cooperation control electric automobile integrated charger supervisory control system and method | |
| US10424926B2 (en) | Method for controlling an electric power distribution micro-grid | |
| CN117040105A (en) | Fault self-adaption and self-healing method, intelligent agent terminal and intelligent terminal | |
| CN105244909A (en) | Direct-current micro-grid system and grid-connection self-balancing control strategy | |
| CN113098001A (en) | Docker container-based intelligent distribution transformer terminal system | |
| CN113572193A (en) | Distributed power supply island operation state identification method, fusion terminal and system | |
| CN105391030A (en) | Planned island division method through load gradual loading and aggregation based on network topology structure | |
| Satuyeva et al. | Q-learning based protection scheme for microgrid using multi-agent system | |
| CN114421627B (en) | Power supply monitoring system, control method and central monitoring unit | |
| CN113381434B (en) | Method and device for optimizing operation mode of flexible direct-current power grid | |
| CN111799765B (en) | Microgrid distributed system protection method and device | |
| CN203368141U (en) | Novel feeder automation system using CAN bus communication | |
| CN108429243A (en) | Disconnection device and hydroelectric system | |
| CN105762932B (en) | A kind of intelligent substation intelligent warning system based on Plugin Mechanism | |
| CN114520754A (en) | Software architecture method of power distribution network edge gateway and gateway terminal | |
| CN115360908A (en) | Steering engine management system and method based on integrated power supply | |
| CN112952773A (en) | Direct-current power distribution network protection method and system and fault recovery method and system | |
| CN111224466A (en) | Low-voltage distribution network topology identification system based on capacitive current characteristic signals | |
| CN109510307A (en) | A kind of household electrical appliance power failure reporting device and system based on bandwidth carrier | |
| CN113131520B (en) | Optical storage system, control method thereof and storage medium | |
| CN108631319A (en) | Off-the-line method, apparatus and equipment | |
| Zhang et al. | Design and implementation of communication network for modular microgrid based power park | |
| CN114188978B (en) | Low-voltage ride through control method and system based on state machine model | |
| CN117220323B (en) | Method and device for controlling network connection and disconnection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |