CN116961012B - Controllable load switch identification method and system based on shortest path search out-of-limit equipment - Google Patents
Controllable load switch identification method and system based on shortest path search out-of-limit equipment Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—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 the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—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
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- H—ELECTRICITY
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- 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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/58—The condition being electrical
- H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
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Abstract
The invention belongs to the technical field of safety and stability analysis of power systems, and provides a method and a system for identifying a controllable load switch of out-of-limit equipment based on shortest path search. The quick searching method for the out-of-limit equipment associated controllable load and the controllable switch is provided for solving the problem of overload/overload of regional power grid equipment.
Description
Technical Field
The application relates to the technical field of safety and stability analysis of power systems, in particular to a controllable load switch identification method and system based on shortest path search out-of-limit equipment.
Background
With the continuous rising of electricity load caused by the rapid development of regional economy technology, the thermal stability problems of power supply bayonets, N-1 heavy load/overload and the like during the heavy load of regional power grids are commonly existed. Short term overload can raise the conductor hot spot temperature, potentially temporarily decreasing the dielectric strength, and increasing the load can risk failure in operating conditions. The long-time overload operation accelerates the aging degree of the insulating layer when the wires are overheated and reduces the insulating property, so that the electric leakage of the wires is extremely easy to cause the occurrence of power grid safety accidents, and further, large-area power failure events can be caused, thereby seriously affecting the safe and stable operation of the power grid.
In order to ensure orderly supply of power loads, safe and reliable operation of power grid equipment is important, when a power grid is overloaded or overloaded by a line or transformer equipment, the power supply load carried by the equipment needs to be found in time, and the problem of heavy overload is further eliminated or relieved through measures such as load control or load transfer. The existing dispatching automation system can monitor real-time information such as the current power grid equipment state, power generation, load distribution and the like, but lacks sufficient research on the influence aspects of out-of-limit power transmission and distribution equipment and controllable load, and if the equipment out-of-limit condition is met, dispatching operators need to determine a power grid power supply path according to operation experience, and the processing time is long and difficult. Therefore, how to quickly find the power supply load and the controllable switch carried by the out-of-limit equipment becomes a key for solving the heavy load/overload of regional power grid equipment.
Disclosure of Invention
The application provides a controllable load switch identification method and a controllable load switch identification system based on shortest path search out-of-limit equipment, which are used for solving the technical problem of overload of regional power grid equipment.
In order to solve the technical problem, in a first aspect, the present application provides a method for identifying a controllable load switch of an out-of-limit device based on shortest path search, where the method includes:
based on the power grid model and SCADA measurement data, integrating and generating current power grid operation data to obtain a current power grid out-of-limit equipment set and a branch equipment set, a load equipment set and a switch equipment set required by controllable load switch identification;
generating an out-of-limit equipment controllable load switch recognition computing job set and a parallel scheduling task set based on the plant information of the out-of-limit equipment and the load equipment and the parallel computing capability of a computing server;
and based on the identification and calculation of the controllable load switch of the out-of-limit equipment, the job set and the parallel scheduling task set thereof are calculated, and the controllable load switch equipment set of each out-of-limit equipment is obtained by adopting parallel mode identification.
Through the steps, the out-of-limit equipment controllable load switch identification method based on the shortest path search can effectively identify out-of-limit equipment possibly existing in the power system and provide corresponding alarming or processing measures so as to ensure safe operation of the power system.
In some implementations, the integrating generates current grid operation data based on the grid model and the SCADA measurement data, and further includes:
performing topology analysis based on the physical connection relation of the branch equipment, the load equipment and the switch disconnecting link equipment and the remote signaling value of the switch disconnecting link to generate topology nodes of the branch equipment, the load equipment and the switch disconnecting link equipment, wherein the branch equipment comprises an alternating current line segment, a transformer winding and series compensation equipment;
combining parallel load devices with consistent topological node numbers into an equivalent load device, combining parallel branch devices with consistent head-end topological node numbers into an equivalent branch, and obtaining the simplified network topology
In some implementations, the identifying and calculating the job set and the parallel scheduling task set thereof based on the controllable load switch of the out-of-limit device further includes:
according to the plant station to which the load equipment belongs, collecting the load equipment belonging to the same plant station to the same load equipment group to obtain a load equipment group set;
combining the out-of-limit equipment set and the load equipment set two by two to obtain an initial out-of-limit equipment controllable load switch identification calculation operation set, wherein the initial out-of-limit equipment controllable load switch identification calculation operation set comprises out-of-limit equipment and a load equipment set;
removing calculation operations of which the highest voltage level of the station belonging to the load equipment group is greater than the highest voltage level of the station belonging to the out-of-limit equipment from the identification operation set of the controllable load switch of the initial out-of-limit equipment to obtain an identification calculation operation set of the controllable load switch of the out-of-limit equipment;
and according to the parallel computing capability of the computing server, the recognition computing job set of the controllable load switch of the out-of-limit device is distributed to each CPU core according to the estimated computing time consumption average, and the recognition parallel scheduling task set of the controllable load switch of the out-of-limit device is obtained.
In some implementations, generating the out-of-limit device controllable load switch identifies a set of parallel scheduling tasks, specifically:
calculating the estimated calculation time of the calculation task based on the controllable load switch equipment set of the out-of-limit equipment, the number of the calculation operations and the CPU core number of the calculation server by the controllable load switch of the out-of-limit equipment, and calculating to obtain the estimated calculation time of the calculation task by the controllable load switch equipment set of the out-of-limit equipment;
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wherein,identifying calculation task by using controllable load switch equipment set of out-of-limit equipment to estimate calculation time consumption, and adding +.>Identifying calculation operation estimated calculation time consumption by using controllable load switch equipment set for indicating off-limit equipment in station and eliminating the risk of the off-limit equipment in station>Identifying calculation operation estimated calculation time consumption by using controllable load switch equipment set for indicating inter-station out-of-limit equipment and eliminating the risk of the inter-station out-of-limit equipment>Representing controllable load of out-of-limit equipment in stationSwitch identification and calculation operation number, < >>Controllable load switch for indicating out-of-limit equipment between stations for identifying and calculating number of work operations and +.>Representing the number of CPU cores of the compute server.
Sequencing the identification calculation operation set of the controllable load switch of the out-of-limit equipment from large to small according to estimated calculation time consumption, and generating a sequencing table of the identification calculation operation of the controllable load switch of the out-of-limit equipment;
and selecting a calculation job combination according to the estimated calculation time consumption of the calculation tasks from the calculation job sequencing table of the controllable load switch identification of the out-of-limit equipment to generate a parallel scheduling task set of the controllable load switch identification of the out-of-limit equipment.
In some implementations, the controllable load switch device set of each out-of-limit device is obtained by adopting parallel pattern recognition, which specifically includes:
for the calculation operation of the out-of-limit equipment and the load equipment group belonging to the same plant station, adopting a shortest path search algorithm in the plant station to carry out topology analysis, and obtaining a controllable load switch equipment set of the out-of-limit equipment in the plant station;
and for the calculation operation of the out-of-limit equipment and the load equipment group which do not belong to the same plant station, adopting an inter-station shortest path search algorithm to obtain a controllable load switch equipment set of the out-of-limit equipment between stations.
In some implementations, the controllable load switching device set identification of the in-station out-of-limit device is specifically:
taking an active power outflow end of the out-of-limit equipment as a starting point, a load equipment as a finishing point, a topological node of equipment in a station as a node, a transformer winding put into operation in the station and series compensation equipment as a branch, and obtaining a shortest path set from the out-of-limit equipment to each controllable load by adopting a Dijkstra algorithm;
removing the shortest paths of which the active power flows from the out-of-limit equipment to the load equipment and the shortest paths of which the voltage levels are greater than the voltage levels of the out-of-limit equipment and the shortest paths of which the voltage levels are less than the voltage levels of the load equipment from the out-of-limit equipment to the shortest paths of each controllable load to obtain a screened shortest path set;
and taking the rest controllable load in the screened shortest path set as a controllable load equipment set of out-of-limit equipment, and taking a controllable load equipment associated load switch as the controllable load switch equipment set of the out-of-limit equipment.
In some implementations, the controllable load switch device set identification of the inter-station out-of-limit device is specifically:
taking a station of the out-of-limit equipment as a starting point, a station of the load equipment as an ending point, taking a station as a node, taking an inter-station operation alternating current line segment as a branch, and obtaining the shortest path from the station of the out-of-limit equipment to the station of the load equipment by adopting Dijkstra algorithm;
taking an active power outflow end of the out-of-limit device as a starting point, a load device as a finishing point, a topological node in a shortest path between stations as a node, an alternating current line segment, a transformer winding and series compensation equipment in the shortest path between stations as branches, and obtaining a shortest path set from the out-of-limit device to each controllable load by adopting a Dijkstra algorithm;
and taking a load switch associated with each controllable load device in the shortest path set from the out-of-limit device to each controllable load as a controllable load switch device set of the out-of-limit device.
In a second aspect, the present application further provides an out-of-limit device controllable load switch identification system based on shortest path search, where the system at least includes:
the first processing unit is used for integrating and generating current power grid operation data through a power grid model and SCADA measurement data to obtain a current power grid out-of-limit equipment set and a branch equipment set, a load equipment set and a switch equipment set required by controllable load switch identification;
the second processing unit generates a computing job set and a parallel scheduling task set thereof for identifying the controllable load switch of the out-of-limit equipment through the plant station information of the out-of-limit equipment and the load equipment and the parallel computing capability of a computing server
And the third processing unit is used for identifying and calculating the job set and the parallel scheduling task set thereof through controllable load switches of the out-of-limit equipment, and obtaining the controllable load switch equipment set of each out-of-limit equipment by adopting parallel mode identification.
In some implementations, the system further includes: a first recognition unit and a second recognition unit;
the first identification unit is used for identifying the controllable load switch equipment set of the out-of-limit equipment in the station.
The second identification unit is used for identifying the controllable load switch equipment set of the inter-station out-of-limit equipment.
In a third aspect, a storage medium, one or more processors; the storage medium is used for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the identification methods described below.
It should be noted that, the beneficial effects of the third aspect are described with reference to the related descriptions of the first aspect, and are not repeated here
The invention comprehensively considers two conditions of the same station or adjacent stations of the controllable load on the out-of-limit equipment and the low-voltage station of the controllable load on the out-of-limit equipment, adopts the out-of-limit equipment load switch searching method based on shortest path searching, and further improves the searching operation speed of the out-of-limit equipment load switch while ensuring the accuracy and the comprehensiveness of the searching result of the out-of-limit equipment load switch. The quick searching method for the out-of-limit equipment associated controllable load and the controllable switch is provided for solving the problem of overload/overload of regional power grid equipment.
Drawings
Fig. 1 is a flowchart of a method for identifying a controllable load switch based on a shortest path search out-of-limit device according to an embodiment of the present application.
Fig. 2 is a schematic diagram of an identifying system of a controllable load switch of an out-of-limit device based on shortest path search according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart of a method for identifying a controllable load switch based on a shortest path search out-of-limit device according to a first embodiment of the present application.
The embodiment of the application provides a method for identifying a controllable load switch of out-of-limit equipment based on shortest path search, which comprises the following steps,
s1: and integrating and generating current power grid operation data based on the power grid model and the SCADA measurement data to obtain a current power grid out-of-limit equipment set and a branch equipment set, a load equipment set and a switch equipment set required by controllable load switch identification.
Out-of-limit device set: according to the SCADA measurement data, state information of each device in the power system, such as current, voltage, frequency and the like, can be obtained. From these data, it can be determined whether an out-of-limit device is present. For example, a device may be considered an out-of-limit device if its current exceeds its rated current value, or its voltage exceeds a specified range.
Branch equipment set: through the power grid model, the connection relation between all the devices in the power system can be obtained, wherein the connection relation comprises the information of a starting node and an ending node of a branch, a switch, a disconnecting link device and the like. The status information of these tributary equipments may be obtained by SCADA measurement data.
Preferably, the grid model is typically modeled based on the physical topology and electrical characteristics of the grid, and corresponding mathematical and graph theory methods; for example, a Branch Model (Branch Model): the branch model is a branch-based power grid model that abstracts a power grid into a collection of branches, each branch containing a start node and an end node representing a connection between electrical components. The model is mainly used for analyzing line transmission and branch parameters in the power grid. Multiport Model (Multi-Port Model): the multiport model is a more detailed power grid model that abstracts a power grid into a plurality of ports (a combination of a plurality of nodes and branches) and considers the characteristics and connection relationship of each port. The model is used to describe more precisely the electrical and control characteristics in complex power networks. Hybrid Model (Hybrid Model): the hybrid model is a power grid model combining a capillary model and a branch model, and comprehensively considers the characteristics of nodes and branches. The model is suitable for a complex power system, and not only considers node voltage and power flow, but also considers branch transmission and parameters. The grid model may be built based on varying degrees of accuracy and complexity, with the selection of an appropriate model depending on the purpose of the study and analysis, and the available data and tools, not limiting in this disclosure. The models can be used for aspects of power system planning, operation control, fault analysis, optimization and the like, and are helpful for understanding the behavior and performance of the power system.
Load device set: load devices refer to individual consumers in the power grid, such as households, industrial electricity, etc. By means of the SCADA measurement data, current and power information of each load device, as well as their connection locations, can be obtained.
A switch knife switch device set: the switch knife switch is a control device commonly used in an electric power system and is used for controlling the on-off and the routing of electric power. Through the grid model and SCADA measurement data, position and state information of the switch equipment can be obtained, including the position (on or off) of the switch and the branch equipment associated with the switch.
The invention can generate the operation data of the current power grid based on the power grid model and the SCADA measurement data, and obtain the out-of-limit equipment set, the branch equipment set, the load equipment set and the switch knife switch equipment set from the operation data so as to identify and analyze the out-of-limit equipment and the controllable load switch. The data can be used for monitoring, analysis, decision support and other applications of the power system.
S2: based on the plant information of the out-of-limit equipment and the load equipment and the parallel computing capability of the computing server, the out-of-limit equipment controllable load switch identification computing job set and the parallel scheduling task set thereof are generated.
The station information of the out-of-limit equipment and the load equipment is as follows: first, station information to which out-of-limit equipment and load equipment belong is collected. Such information may include the name, type of device, area or station in which the device is located, etc. By sorting and classifying these information, a set of out-of-limit devices and load devices can be obtained and grouped according to the plant to which they belong.
Computing parallel computing capabilities of the server: the processing power of the server and the available parallel computing resources, which may include information on the number of processor cores, memory capacity, computing speed, etc. of the server. This information may help determine the number of tasks and the load that the server can handle at the same time.
Generating a set of computing jobs: and according to the set of the out-of-limit equipment and the load equipment, combining the station information to generate a calculation job set identified by the controllable load switch of the out-of-limit equipment. Each computing job represents an identification task for a particular device or plant, such as identifying all out-of-limit devices in a plant and controllable load switches associated therewith.
Dividing a parallel scheduling task set: and dividing the generated calculation job set into parallel scheduling task sets according to the parallel computing capacity of the computing server. The partitioning may be based on a number of factors, such as the complexity of the computing job, the amount of computing resources required, and the like. The goal is to achieve optimal parallel computing scheduling taking into account computing server resource limitations. The process may be implemented using a scheduling algorithm or a heuristic algorithm.
Through the above process, the computing job set identified by the controllable load switch of the out-of-limit equipment and the parallel scheduling task set thereof can be generated. These tasks may be performed in parallel on the compute servers to increase computational efficiency and reduce computational time. The generation of the parallel scheduling task set needs to comprehensively consider equipment information, plant information and computing resources so as to improve the efficiency and accuracy of the identification process.
S3: and based on the identification and calculation of the controllable load switch of the out-of-limit equipment, the job set and the parallel scheduling task set thereof are calculated, and the controllable load switch equipment set of each out-of-limit equipment is obtained by adopting parallel mode identification.
Preferably, for obtaining the controllable load switch device set of each out-of-limit device by adopting parallel pattern recognition, the following steps are performed:
1. and identifying a computing job set by the controllable load switch of the out-of-limit equipment for parallel scheduling, and distributing different computing jobs to a plurality of parallel processing units of the computing server for processing. Each computing job represents an out-of-limit device.
2. In each computing job, a parallel pattern recognition method is adopted to recognize the controllable load switch device set of the out-of-limit device. The parallel pattern recognition may be based on an already established grid model and using out-of-limit device features.
3. The process of parallel pattern recognition may include the steps of:
and (3) loading data: and loading the required power grid model, the out-of-limit equipment characteristic data, the branch equipment set, the load equipment set and the switch knife switch equipment set into a memory of a calculation server for pattern recognition calculation.
Feature extraction: and carrying out feature extraction operation on the parallel processing unit according to the feature data of the out-of-limit equipment, and extracting feature information required by the out-of-limit equipment.
Pattern matching: and comparing and matching the characteristics of the out-of-limit equipment with the characteristics of the branch equipment, the load equipment and the switch knife switch equipment by carrying out pattern matching calculation on the parallel processing unit so as to determine a controllable load switch equipment set.
4. And integrating and summarizing the controllable load switch equipment set of each out-of-limit equipment obtained by the parallel pattern recognition to obtain a final controllable load switch equipment set of the out-of-limit equipment.
By adopting the parallel mode recognition method, the recognition process of the out-of-limit equipment can be quickened, and the controllable load switch equipment set of each out-of-limit equipment can be obtained in a shorter time. This helps to take measures in time to handle out-of-limit equipment, ensuring the normal operation of the power system.
Through the steps, the out-of-limit equipment controllable load switch identification method based on the shortest path search can effectively identify out-of-limit equipment possibly existing in the power system and provide corresponding alarming or processing measures so as to ensure safe operation of the power system.
In some implementations, the integrating generates current grid operation data based on the grid model and the SCADA measurement data, and further includes:
and carrying out topology analysis based on the physical connection relation of the branch equipment, the load equipment and the switch knife switch equipment and the remote signaling value of the switch knife switch to generate topology nodes of the branch equipment, the load equipment and the switch knife switch equipment, wherein the branch equipment comprises an alternating current line segment, a transformer winding and series compensation equipment.
And combining the parallel load devices with consistent topological node numbers into an equivalent load device, and combining the parallel branch devices with consistent head-end topological node numbers into an equivalent branch to obtain the simplified network topology.
In some implementations, the identifying and calculating the job set and the parallel scheduling task set thereof based on the controllable load switch of the out-of-limit device further includes:
and collecting the load equipment belonging to the same station to the same load equipment group according to the station to which the load equipment belongs, thereby obtaining a load equipment group set.
And combining the out-of-limit equipment set and the load equipment set in pairs to obtain an initial out-of-limit equipment controllable load switch identification computing job set, wherein the initial out-of-limit equipment controllable load switch identification computing job set comprises out-of-limit equipment and a load equipment set.
And removing calculation operations of which the highest voltage level of the station belonging to the load equipment group is greater than the highest voltage level of the station belonging to the out-of-limit equipment from the identification operation set of the controllable load switch of the initial out-of-limit equipment, thereby obtaining the identification calculation operation set of the controllable load switch of the out-of-limit equipment.
And according to the parallel computing capability of the computing server, the recognition computing job set of the controllable load switch of the out-of-limit device is distributed to each CPU core according to the estimated computing time consumption average, and the recognition parallel scheduling task set of the controllable load switch of the out-of-limit device is obtained.
In some implementations, generating the out-of-limit device controllable load switch identifies a set of parallel scheduling tasks, specifically:
calculating the estimated calculation time of the calculation task based on the controllable load switch equipment set of the out-of-limit equipment, the number of the calculation operations and the CPU core number of the calculation server by the controllable load switch of the out-of-limit equipment, and calculating to obtain the estimated calculation time of the calculation task by the controllable load switch equipment set of the out-of-limit equipment;
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wherein,identifying calculation task by using controllable load switch equipment set of out-of-limit equipment to estimate calculation time consumption, and adding +.>Identifying calculation operation estimated calculation time consumption by using controllable load switch equipment set for indicating off-limit equipment in station and eliminating the risk of the off-limit equipment in station>Identifying calculation operation estimated calculation time consumption by using controllable load switch equipment set for indicating inter-station out-of-limit equipment and eliminating the risk of the inter-station out-of-limit equipment>Controllable load switch for indicating out-of-limit equipment in station for identifying and calculating number of work and +.>Controllable load switch for indicating out-of-limit equipment between stations for identifying and calculating number of work operations and +.>Representing the number of CPU cores of the compute server.
Sequencing the identification calculation operation set of the controllable load switch of the out-of-limit equipment from large to small according to the estimated calculation time consumption, and generating a sequencing table of the identification calculation operation of the controllable load switch of the out-of-limit equipment.
And selecting a calculation job combination according to the estimated calculation time consumption of the calculation tasks from the calculation job sequencing table of the controllable load switch identification of the out-of-limit equipment to generate a parallel scheduling task set of the controllable load switch identification of the out-of-limit equipment.
In some implementations, the controllable load switch device set of each out-of-limit device is obtained by adopting parallel pattern recognition, which specifically includes:
and for the calculation operation of the out-of-limit equipment and the load equipment group belonging to the same plant station, performing topology analysis by adopting an intra-station shortest path search algorithm to obtain a controllable load switch equipment set of the out-of-limit equipment in the plant station.
And for the calculation operation of the out-of-limit equipment and the load equipment group which do not belong to the same plant station, adopting an inter-station shortest path search algorithm to obtain a controllable load switch equipment set of the out-of-limit equipment between stations.
In some implementations, the controllable load switching device set identification of the in-station out-of-limit device is specifically:
the method comprises the steps of taking an active power outflow end of out-of-limit equipment as a starting point, load equipment as an ending point, a topological node of in-station equipment as a node, a transformer winding put into operation in the station and series compensation equipment as a branch, and obtaining a shortest path set from the out-of-limit equipment to each controllable load by adopting a Dijkstra algorithm.
And removing the shortest paths of which the active power flow direction is not from the out-of-limit equipment to the load equipment, the shortest paths of which the voltage level is greater than that of the out-of-limit equipment and the shortest paths of which the voltage level is less than that of the load equipment from the out-of-limit equipment to each controllable load, and obtaining the screened shortest path set. The method comprises the following steps: the active power flow direction is not the shortest path from the out-of-limit device to the load device: for each shortest path, it is determined whether the active power flow direction coincides with the shortest path from the out-of-limit device to the load device. If not, the shortest path is rejected. The shortest path with a voltage class greater than the voltage class of the out-of-limit device: and comparing the voltage class of the node on each shortest path with the voltage class of the out-of-limit equipment, and eliminating the shortest paths with the voltage class larger than the voltage class of the out-of-limit equipment. The shortest path with voltage class less than the voltage class of the load device: comparing the voltage class of the node on each shortest path with the voltage class of the load equipment, and eliminating the shortest paths with the voltage class smaller than the voltage class of the load equipment. Obtaining a screened shortest path set: and removing the shortest paths which do not meet the conditions according to the screening conditions to obtain a screened shortest path set.
And taking the rest controllable load in the screened shortest path set as a controllable load equipment set of out-of-limit equipment, and taking a controllable load equipment associated load switch as the controllable load switch equipment set of the out-of-limit equipment.
For each device in the controllable load device set of out-of-limit devices, a respective load switching device is associated. This may be accomplished by association information in the grid model or other relevant information to ensure that each controllable load device is properly associated with the corresponding load switching device.
In some implementations, the controllable load switch device set identification of the inter-station out-of-limit device is specifically:
taking a station of the out-of-limit equipment as a starting point, a station of the load equipment as an ending point, a station as a node, and an inter-station operation alternating current line segment as a branch, and obtaining the shortest path from the station of the out-of-limit equipment to the station of the load equipment by adopting Dijkstra algorithm.
The method comprises the steps of taking an active power outflow end of out-of-limit equipment as a starting point, load equipment as a finishing point, a topological node in a shortest path between stations as a node, an alternating current line segment, a transformer winding and series compensation equipment in the shortest path between stations as branches, and obtaining a shortest path set from the out-of-limit equipment to each controllable load by adopting Dijkstra algorithm.
And taking a load switch associated with each controllable load device in the shortest path set from the out-of-limit device to each controllable load as a controllable load switch device set of the out-of-limit device.
Through the steps, the controllable load switch equipment set of the inter-station out-of-limit equipment can be obtained. The equipment sets can be used for identifying controllable load switch equipment of out-of-limit equipment among stations, so that monitoring, control and maintenance of the out-of-limit equipment are realized, and stable operation and reliable power supply of a power grid are ensured.
In a second aspect, referring to fig. 2, the present application further provides an out-of-limit device controllable load switch identification system based on shortest path search, where the system at least includes:
the first processing unit is used for integrating and generating current power grid operation data through a power grid model and SCADA measurement data to obtain a current power grid out-of-limit equipment set and a branch equipment set, a load equipment set and a switch equipment set required by controllable load switch identification.
And the second processing unit generates a controllable load switch recognition computing job set of the out-of-limit equipment and a parallel scheduling task set thereof through the plant station information of the out-of-limit equipment and the load equipment and the parallel computing capability of the computing server.
And the third processing unit is used for identifying and calculating the job set and the parallel scheduling task set thereof through controllable load switches of the out-of-limit equipment, and obtaining the controllable load switch equipment set of each out-of-limit equipment by adopting parallel mode identification.
In some implementations, the system further includes: a first recognition unit and a second recognition unit;
the first identification unit is used for identifying the controllable load switch equipment set of the out-of-limit equipment in the station. And estimating the number of the out-of-limit equipment controllable load switches in the station to identify and calculate the number of the jobs according to the number of the out-of-limit equipment in the station. And identifying the calculation operation for the controllable load switch of each off-limit equipment in the station, and estimating the calculation time consumption according to the actual situation. Accumulating the calculation time consumption of the identification calculation operation of each in-station out-of-limit equipment controllable load switch to obtain the estimated calculation time consumption of the identification calculation operation of the in-station out-of-limit equipment controllable load switch equipment set.
Thus, the estimated calculation time consumption of the in-station out-of-limit equipment controllable load switch equipment set identification calculation operation is obtained. It should be noted that this estimation is only approximate, and the actual calculation time may be affected by factors such as the performance of the calculation server, the complexity of the algorithm, and the data amount.
The second identification unit is used for identifying the controllable load switch equipment set of the inter-station out-of-limit equipment. And estimating the number of the out-of-limit equipment controllable load switches identification calculation jobs among the out-of-limit equipment according to the number of the out-of-limit equipment and the number of the load equipment. And identifying the calculation operation for the controllable load switch of each inter-station out-of-limit equipment, and estimating the calculation time consumption according to the complexity of the inter-station shortest path calculation, the algorithm and other factors. Accumulating the calculation time consumption of the identification calculation operation of the controllable load switch of each inter-station limit crossing device to obtain the estimated calculation time consumption of the identification calculation operation of the controllable load switch device set of the inter-station limit crossing device.
Therefore, estimated calculation time consumption of the inter-station out-of-limit equipment controllable load switch equipment set identification calculation operation can be obtained. It should be noted that this estimation is only approximate, and the actual calculation time may be affected by factors such as the performance of the calculation server, the complexity of the algorithm, the data amount, and the complexity of the grid model.
In a third aspect, a storage medium, one or more processors; the storage medium is used for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the identification methods described below.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a vehicle-mounted display apparatus to perform all or part of the steps of the method described in the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing embodiments have been provided for the purpose of illustrating the objects, technical solutions and advantages of the present application in further detail, and it should be understood that the foregoing embodiments are merely examples of the present application and are not intended to limit the scope of the present application. It should be noted that any modifications, equivalent substitutions, improvements, etc. made by those skilled in the art, which are within the spirit and principles of the present application, are intended to be included within the scope of the present application.
Claims (9)
1. A method for identifying a controllable load switch of out-of-limit equipment based on shortest path search is characterized in that the method comprises the following steps,
based on the power grid model and SCADA measurement data, integrating and generating current power grid operation data to obtain a current power grid out-of-limit equipment set and a branch equipment set, a load equipment set and a switch equipment set required by controllable load switch identification;
generating an out-of-limit equipment controllable load switch recognition computing job set and a parallel scheduling task set based on the plant information of the out-of-limit equipment and the load equipment and the parallel computing capability of a computing server;
based on the identification and calculation of controllable load switches of the out-of-limit devices, the job set and the parallel scheduling task set thereof are calculated, and the controllable load switch device set of each out-of-limit device is obtained by adopting parallel mode identification;
the controllable load switch based on the out-of-limit equipment identifies and calculates the job set and the parallel scheduling task set thereof, and the method further comprises the following steps:
according to the plant station to which the load equipment belongs, collecting the load equipment belonging to the same plant station to the same load equipment group to obtain a load equipment group set;
combining the out-of-limit equipment set and the load equipment set two by two to obtain an initial out-of-limit equipment controllable load switch identification calculation operation set, wherein the initial out-of-limit equipment controllable load switch identification calculation operation set comprises out-of-limit equipment and a load equipment set;
removing calculation operations of which the highest voltage level of the station belonging to the load equipment group is greater than the highest voltage level of the station belonging to the out-of-limit equipment from the identification operation set of the controllable load switch of the initial out-of-limit equipment to obtain an identification calculation operation set of the controllable load switch of the out-of-limit equipment;
and according to the parallel computing capability of the computing server, the recognition computing job set of the controllable load switch of the out-of-limit device is distributed to each CPU core according to the estimated computing time consumption average, and the recognition parallel scheduling task set of the controllable load switch of the out-of-limit device is obtained.
2. The method for identifying the out-of-limit equipment controllable load switch based on shortest path search according to claim 1, wherein the method comprises the following steps: the integration and generation of the current power grid operation data based on the power grid model and the SCADA measurement data further comprises the following steps:
performing topology analysis based on the physical connection relation of the branch equipment, the load equipment and the switch disconnecting link equipment and the remote signaling value of the switch disconnecting link to generate topology nodes of the branch equipment, the load equipment and the switch disconnecting link equipment, wherein the branch equipment comprises an alternating current line segment, a transformer winding and series compensation equipment;
and combining the parallel load devices with consistent topological node numbers into an equivalent load device, and combining the parallel branch devices with consistent head-end topological node numbers into an equivalent branch to obtain the simplified network topology.
3. The method for identifying the out-of-limit equipment controllable load switch based on shortest path search according to claim 2, wherein the method comprises the following steps: the method for generating the out-of-limit equipment controllable load switch to identify the parallel scheduling task set comprises the following steps:
calculating the estimated calculation time of the calculation task based on the controllable load switch equipment set of the out-of-limit equipment, the number of the calculation operations and the CPU core number of the calculation server by the controllable load switch of the out-of-limit equipment, and calculating to obtain the estimated calculation time of the calculation task by the controllable load switch equipment set of the out-of-limit equipment;
；
wherein,identifying calculation task by using controllable load switch equipment set of out-of-limit equipment to estimate calculation time consumption, and adding +.>Indicating intra-station out-of-limitThe equipment controllable load switch equipment set identifies the estimated calculation time consumption of calculation operation and +.>Identifying calculation operation estimated calculation time consumption by using controllable load switch equipment set for indicating inter-station out-of-limit equipment and eliminating the risk of the inter-station out-of-limit equipment>Controllable load switch for indicating out-of-limit equipment in station for identifying and calculating number of work and +.>Controllable load switch for indicating out-of-limit equipment between stations for identifying and calculating number of work operations and +.>Representing the CPU core number of the computing server;
sequencing the identification calculation operation set of the controllable load switch of the out-of-limit equipment from large to small according to estimated calculation time consumption, and generating a sequencing table of the identification calculation operation of the controllable load switch of the out-of-limit equipment;
and selecting a calculation job combination according to the estimated calculation time consumption of the calculation tasks from the calculation job sequencing table of the controllable load switch identification of the out-of-limit equipment to generate a parallel scheduling task set of the controllable load switch identification of the out-of-limit equipment.
4. A method for identifying a controllable load switch of an out-of-limit device based on shortest path search according to claim 3, wherein: the controllable load switch equipment set of each out-of-limit equipment is obtained by adopting parallel mode identification, and the controllable load switch equipment set is specifically as follows:
for the calculation operation of the out-of-limit equipment and the load equipment group belonging to the same plant station, adopting a shortest path search algorithm in the plant station to carry out topology analysis, and obtaining a controllable load switch equipment set of the out-of-limit equipment in the plant station;
and for the calculation operation of the out-of-limit equipment and the load equipment group which do not belong to the same plant station, adopting an inter-station shortest path search algorithm to obtain a controllable load switch equipment set of the out-of-limit equipment between stations.
5. The method for identifying the controllable load switch of the out-of-limit device based on the shortest path search according to claim 4, wherein the identifying of the controllable load switch device set of the out-of-limit device in the station is specifically:
taking an active power outflow end of the out-of-limit equipment as a starting point, a load equipment as a finishing point, a topological node of equipment in a station as a node, a transformer winding put into operation in the station and series compensation equipment as a branch, and obtaining a shortest path set from the out-of-limit equipment to each controllable load by adopting a Dijkstra algorithm;
removing the shortest paths of which the active power flows from the out-of-limit equipment to the load equipment and the shortest paths of which the voltage levels are greater than the voltage levels of the out-of-limit equipment and the shortest paths of which the voltage levels are less than the voltage levels of the load equipment from the out-of-limit equipment to the shortest paths of each controllable load to obtain a screened shortest path set;
and taking the rest controllable load in the screened shortest path set as a controllable load equipment set of out-of-limit equipment, and taking a controllable load equipment associated load switch as the controllable load switch equipment set of the out-of-limit equipment.
6. The method for identifying the controllable load switch of the out-of-limit equipment based on the shortest path search according to claim 5, wherein the identifying of the controllable load switch equipment set of the out-of-limit equipment between stations is specifically as follows:
taking a station of the out-of-limit equipment as a starting point, a station of the load equipment as an ending point, taking a station as a node, taking an inter-station operation alternating current line segment as a branch, and obtaining the shortest path from the station of the out-of-limit equipment to the station of the load equipment by adopting Dijkstra algorithm;
taking an active power outflow end of the out-of-limit device as a starting point, a load device as a finishing point, a topological node in a shortest path between stations as a node, an alternating current line segment, a transformer winding and series compensation equipment in the shortest path between stations as branches, and obtaining a shortest path set from the out-of-limit device to each controllable load by adopting a Dijkstra algorithm;
and taking a load switch associated with each controllable load device in the shortest path set from the out-of-limit device to each controllable load as a controllable load switch device set of the out-of-limit device.
7. An out-of-limit equipment controllable load switch identification system based on shortest path search, which is characterized in that the system at least comprises:
the first processing unit is used for integrating and generating current power grid operation data through a power grid model and SCADA measurement data to obtain a current power grid out-of-limit equipment set and a branch equipment set, a load equipment set and a switch equipment set required by controllable load switch identification;
the second processing unit generates a controllable load switch recognition computing job set of the out-of-limit equipment and a parallel scheduling task set thereof through the plant station information of the out-of-limit equipment and the load equipment and the parallel computing capability of a computing server;
the third processing unit is used for identifying and calculating the job set and the parallel scheduling task set thereof through controllable load switches of the out-of-limit equipment, and obtaining a controllable load switch equipment set of each out-of-limit equipment by adopting parallel mode identification;
the method comprises the steps of identifying and calculating the job set and the parallel scheduling task set thereof through a controllable load switch of out-of-limit equipment, and further comprises the following steps:
according to the plant station to which the load equipment belongs, collecting the load equipment belonging to the same plant station to the same load equipment group to obtain a load equipment group set;
combining the out-of-limit equipment set and the load equipment set two by two to obtain an initial out-of-limit equipment controllable load switch identification calculation operation set, wherein the initial out-of-limit equipment controllable load switch identification calculation operation set comprises out-of-limit equipment and a load equipment set;
removing calculation operations of which the highest voltage level of the station belonging to the load equipment group is greater than the highest voltage level of the station belonging to the out-of-limit equipment from the identification operation set of the controllable load switch of the initial out-of-limit equipment to obtain an identification calculation operation set of the controllable load switch of the out-of-limit equipment;
and according to the parallel computing capability of the computing server, the recognition computing job set of the controllable load switch of the out-of-limit device is distributed to each CPU core according to the estimated computing time consumption average, and the recognition parallel scheduling task set of the controllable load switch of the out-of-limit device is obtained.
8. The identification system of claim 7, wherein the system further comprises: a first recognition unit and a second recognition unit;
the first identification unit is used for identifying a controllable load switch device set of the off-limit device in the station;
the second identification unit is used for identifying the controllable load switch equipment set of the inter-station out-of-limit equipment.
9. A storage medium characterized by one or more processors; the storage medium is used for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the identification method of any of claims 1-6.
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