CN113094174A - Method for coordination control of power distribution network terminal autonomous networking based on edge computing technology - Google Patents
Method for coordination control of power distribution network terminal autonomous networking based on edge computing technology Download PDFInfo
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Abstract
The invention discloses a method for coordination control of autonomous networking of a power distribution network terminal based on an edge computing technology, which comprises the following steps: (1) the data collection center stores the data acquired or produced by each APP to the data center for management and interaction; (2) establishing a local area network for equipment communication between a master station and a substation; (3) performing data preprocessing on original data in a data collection process to form an edge data platform; (4) according to the logic of the coordination control of the regional power grid, the substation terminal determines that a publishing/subscribing data set starts to carry out data information interaction; (5) analyzing and processing different types of data by adopting a data analysis processing method; (6) and (4) visualizing and storing data. According to the invention, after each substation of the distributed power supply, the distributed energy storage and the important load is disconnected with the dispatching, the adjacent substations can be automatically networked for coordination control through the regional coordination network, so that the influence on the stable operation of the power grid is reduced to the minimum.
Description
Technical Field
The invention relates to a method for coordination control of autonomous networking of a power distribution network terminal based on an edge computing technology, and belongs to the technical field of power distribution network measurement and control of a power system.
Background
With the annual increase of the permeability of the distributed new energy and the distributed energy storage to the power grid, higher requirements are put forward on the stable operation of the power distribution network. The new energy power stations and the distributed energy storage systems distributed in the universe of the power grid are generally managed and uniformly scheduled by a power grid scheduling system in a unified mode, according to the prediction condition of the operation of the power grid, the scheduling can give 24-hour output curves to all the distributed new energy power stations and the distributed energy storage systems, one data is given for each distributed new energy power station and each distributed new energy power station and each distributed energy storage system, 96 data are given for all the days, and each data specifies the parameter requirements of the distributed new energy power stations, such as active power, reactive power, power direction, voltage and frequency, and the charging curve data and the discharging curve data of the distributed energy storage systems. The distributed new energy power station and the distributed energy storage system have to strictly adjust output parameters according to the curve, otherwise unpredictable problems can be caused to the stable operation of the power grid. To meet the requirement, the scheduling main station, the distributed new energy substation and the distributed energy storage system substation are required to keep the communication channel smooth, the communication between the main station and the substation equipment is normal, and the transmitted data is correct.
The communication of the current distributed new energy substation terminal equipment, the distributed energy storage system substation and the scheduling main station generally adopts wireless 4G, and a small number of the distributed new energy substations adopt optical fiber communication, so that the communication quality is poor and the communication is interrupted frequently. And when the communication between the scheduling main station and the sub-station is interrupted, the sub-station operates according to the currently received output curve. Under the condition, when the operation mode of the power grid changes, the power grid fails, the load changes and the like, the distributed new energy station and the distributed energy storage system substation cannot adjust the output in time, and the stability of the power grid is greatly influenced.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method for coordination control of the autonomous networking of the power distribution network terminal based on the edge computing technology is provided, so that the problems in the prior art are solved.
The technical scheme adopted by the invention is as follows: a method for coordination control of autonomous networking of a power distribution network terminal based on an edge computing technology comprises the following steps:
(1) the data collection center stores the data acquired or produced by each APP to the data center; each APP acquires various types of data according to a calling interface of the data center; the data center manages data according to a specific rule;
(2) when the communication between the scheduling main station and each substation is normal, the substations transmit data to the scheduling main station in a time sequence, and the main station performs calculation analysis processing to control the stable and coordinated operation of the power distribution network; after communication between the scheduling main station and each substation is interrupted, the substation equipment of the adjacent substation, including the distributed new energy, the distributed energy storage system, the user load and the power grid substation, searches network paths of the adjacent substation terminal equipment and establishes a network routing table by innovating an application network routing protocol on the embedded measurement and control terminal through a wireless 4G public network, power carrier communication and an optical fiber communication network, reestablishes an equipment communication local area network, and performs local network data interaction;
(3) performing data preprocessing on original data in a data collection process to form an edge data platform;
(4) according to the logic of the coordination control of the regional power grid, the substation terminal determines that a publishing/subscribing data set starts to carry out data information interaction; in the data information publishing and subscribing mode, data interaction is carried out in an IP (data Distribution service) PLC (programmable logic controller) mode by adopting a DDS (data Distribution service), or data interaction, data Distribution and policy execution are carried out on data information in an MQTT (data transmission service) mode in an LoRa (LoRa) mode, and policy execution is carried out locally based on a predefined rule and a data analysis result; or the data is issued to other substation equipment nodes for processing; all application programs of the substation equipment edge computing system support a data exchange mode of data publishing and subscribing according to a uniform data model, and are directly accessed by a database interface; the strategy of the publish-subscribe is generally preset through a configuration file, or the data content of the publish-subscribe is temporarily set in an application;
(5) the data analysis and Processing method corresponding to different types of data (statistical and mathematical model operation can be used for analog quantity data and switching quantity data, and Complex Event Processing can be used for various received alarm messages to obtain comprehensive alarm information so as to finally eliminate the alarm) is used for analyzing, generally, the data analysis and Processing method comprises statistics, mathematical model operation and Complex Event Processing (CEP, Complex Event Processing) is an analysis technology based on Event flow in a dynamic environment, the Event is usually meaningful state change, by analyzing the relationship among the events, and by utilizing the technologies of filtering, association, aggregation and the like, a detection rule is formulated according to the time sequence relationship and the aggregation relationship among the events, an Event sequence meeting the requirements is continuously inquired from the Event flow, final analysis results in more complex composite events);
(6) data visualization and storage: and a time sequence database is adopted for storage, and AR and VR interaction technology is utilized for vivid presentation.
The data center is internally divided into a real-time library and a freezing library, the real-time library adopts fastdb, and the freezing library adopts sqlite 3.
The data center communication mode adopts the mqtt protocol.
The structure for organizing data in the data center interface adopts JSON syntax.
The data center adopts the concept of a physical model, data are stored in a classified mode according to equipment, the equipment is abstracted by the model, the physical model comprises a real-time model, a historical model, a parameter model and a service model, and the physical model is an equipment-oriented data model based on the Internet of things protocol and is a general modeling mode of the Internet of things. The cloud platform modeling tool can be manually modeled or adopt Huashi, Ali and Tengcong internet of things.
The specific implementation method of the step (2) comprises the following steps:
1) the NDP (neighbor Discovery protocol) is used for discovering the directly connected neighbor information, and the NDP runs on a data link layer, so that different network layer protocols can be supported, including the device name, the software/hardware version, the connection port and the like of adjacent devices, and in addition, information such as the ID, the port address, the hardware platform and the like of the devices can be provided. Supporting NDP equipment to maintain an NDP neighbor information table, wherein each table entry in the neighbor information table can be aged, once the aging time is up, the NDP automatically deletes the corresponding neighbor table entry, and meanwhile, a user can clear the current NDP information to collect the adjacent information again;
2) collecting network topology information by using a neighbor topology Discovery protocol NTDP (neighbor topology Discovery protocol), providing equipment information which can be added into a cluster for cluster management by the NTDP, collecting topology information of a switch in a specified hop count, providing adjacency list information for the NTDP by the NDP, sending and forwarding an NTDP topology collection request by the NTDP according to the adjacency information, collecting NDP information of each equipment in a set network range and connection information of the NDP information and all neighbors, using the information as required by a management equipment or a network manager after collecting the information, completing required functions, informing the management equipment of neighbor change information through a handshake message when the NDP on member equipment discovers that the neighbor is changed, starting the NTDP by the management equipment to collect the specified topology, and enabling the NTDP to reflect the change of the network topology in time;
3) the method is characterized in that an RSTP (rapid spanning Tree Protocol) is applied to support a networking mode of any network topology, the Protocol is applied to a loop network, path redundancy is realized through a set algorithm (a path search algorithm, the algorithm standard is IEEE 802.1D 2004), and the loop network is pruned into a loop-free Tree network, so that the proliferation and infinite circulation of messages in the loop network are avoided;
4) through steps 1) -3), the equipment can reestablish a network communication routing table to form a local area network, and data interaction is realized.
The data preprocessing method in the step 3) comprises the following steps: and (4) filtering, cleaning, aggregating, optimizing quality (eliminating bad data and the like) and analyzing semantics of the original data.
The data preprocessing method comprises the following specific steps: carrying out consistency check on the original data, checking the correlation between the reasonable value range of each data and the related data, filtering and cleaning the data beyond the normal value range or the data with inconsistent logic, and carrying out interpolation supplementation; aggregating repeated original data, and merging by adopting an average value or a direct substitution method; and finally, storing the high-quality data meeting the requirements into the time sequence database according to the unified model to form an edge data platform.
The invention relates to a whole set of interaction and data processing flow and method for uniformly modeling the data of a distribution network distributed energy substation, a distributed energy storage substation, a user load substation and a transformer substation and carrying out data interaction and coordination control on adjacent substations under the condition of communication interruption with a scheduling main station.
The invention has the beneficial effects that: compared with the prior art, after the communication of the distributed new energy substation, the distributed energy storage system substation and the scheduling main station is interrupted, the adjacent substations can be formed into a regional coordination network nearby, the purpose of autonomous coordination control is achieved by publishing and subscribing operation parameter information, the coordinated stable operation of a regional power grid is realized, the stable operation and optimized coordination capability of the power distribution network can be effectively improved, the coordination control of the source network charge storage substation facing the regional power grid can be realized in the aspect of functions, the intelligent management of the operation of the power distribution network system is realized, and the main requirements in the aspects of reliability, economy, expansibility, standardization, intellectualization and the like are met; in the aspect of intellectualization, the substation terminal realizes edge cloud cooperative control with the main station, the coverage range of distribution network intellectualization management and control is expanded, after each substation of distributed power supplies, distributed energy storage and important loads is disconnected with dispatching, adjacent substations can automatically perform coordinated control through networking, and the influence on the stable operation of a power grid is reduced to the minimum.
Drawings
FIG. 1 is a schematic view of an object model;
FIG. 2 is a diagram of an example of an AC collection object;
FIG. 3 is a flowchart of an application neighbor topology discovery protocol;
FIG. 4 is a flow chart of substation device data interaction;
fig. 5 is a diagram of the device software architecture.
Detailed Description
The invention is further described with reference to the accompanying drawings and specific embodiments.
The invention applies the edge computing technology in the control terminals of the distribution network distributed power supply substation, the distributed energy storage system substation and the important load substation, the edge computing is a distributed computing form for storing main processing and data in edge nodes of a network, and is an open platform for processing network, computing, storing and applying core capability at the edge side of the network close to an object or a data source, so that edge intelligent service is provided nearby, and the key requirements of industry digitization on agile connection, real-time service, data optimization, application intelligence, safety, privacy protection and the like are met. It can be used as a bridge to connect the physical and digital worlds, enabling intelligent assets, intelligent gateways, intelligent systems and intelligent services.
Distributed new energy, distributed energy storage systems and important loads in the power distribution network are targets of operation coordination control of the power distribution network. The control terminal devices installed on the distributed new energy substation, the distributed energy storage system substation, the important load substation and the like can be called as edge computing terminals. The operation data of the power distribution network is generated at the edge side of the power distribution network, comprises substation operation data, power transmission line data, user load data, distributed new energy data, distributed energy storage system data, environment data, information system data and the like, and has the characteristics of high flux (large instantaneous flow), high flowing speed, various types, strong relevance, high analysis and processing real-time requirements and the like. The measurement and control data processing of the power distribution network can define the service logic of data through a service arrangement layer, including a specified data analysis algorithm and the like, and meet the requirements of service instantaneity and the like through optimizing the deployment and operation of data services in the functional field.
The hardware system of the substation equipment has multiple communication modes and supports 4G/5G, xPON and GE in an uplink manner; the downlink communication supports PLC and LoRa, and the edge computing system adopts a light-weight Linux system and a container technology. The basic communication module supports the interaction of data between a wireless local area network and a wired local area network, and the method comprises the following specific steps:
firstly, a data collection center stores data acquired or produced by each APP (APP software with a local control strategy function, a distribution transformer detection function, a reactive compensation control function, an electricity consumption information monitoring function, a three-phase imbalance monitoring function and the like, which are pre-installed in terminal equipment in general) to a data center; each APP can acquire various types of data according to a calling interface of the data center; the data center can manage data according to specific rules, and the validity and the safety of the data are guaranteed. Data centers have their own features:
1) the data center is internally divided into a real-time library and a freezing library, the real-time library adopts fastdb, and the freezing library adopts sqlite 3;
2) the data center communication mode adopts an mqtt protocol;
3) the structure for organizing data in the data center interface adopts JSON syntax.
The data center adopts the concept of an object model, data are stored in a classified mode according to equipment, and the equipment is abstracted by the model. The data center interfaces are all related information surrounding the object model and are designed on the principle of flexibility and convenience, such as a real-time data read-write interface, a frozen data read-write interface, a model read-write interface and a fixed value read-write interface; in addition, the data center is also added with a plurality of reading and writing interfaces of non-equipment information, such as a file reading and writing interface, a scheme reading and writing interface and the like.
The data center equipment model consists of a real-time model, a historical model, a parameter model and a service model, wherein the parameter model is special, and model registration can be omitted in the data center. For example, the following steps are carried out: alternating current collection, wherein the abstract model is a real-time model and a parameter model, the name of the real-time model is ADC, PhV _ phsA represents alternating current collection A-phase voltage, and PwrOffAlmb represents a power failure event; the name of the parameter model is temporarily not used or can not be defined, Load represents the distribution transformation capacity of a transformer area, ARtG represents a primary value of CT, the AC APP stores real-time data to a data center through a real-time data writing interface, and a constant-value parameter operation interface is called to read a constant value.
The data center calls several concepts of models, attributes and device GUIDs, which are used by all interfaces of the data center, and the models and attributes are explained in detail above, and the device GUIDs are device information generated after the interfaces of the equipment are registered by calling the data center, and the device information represents unique identification of the equipment in the data center.
And secondly, when the communication between the scheduling main station and each substation is normal, the substations transmit data to the scheduling main station according to the time sequence, and the main station performs calculation analysis processing to control the stable and coordinated operation of the power distribution network. When the communication between the dispatching master station and each substation is interrupted, the adjacent substations, including the distributed new energy, the distributed energy storage system, the user load, the power grid substation and other substation devices search the network path of the adjacent substation terminal device and establish a network routing table through the innovative application network routing protocol on the embedded measurement and control terminal through the wireless 4G public network, the power carrier communication and the optical fiber communication network, reestablish the device communication local area network, and perform local network data interaction (under normal conditions, the local application APP mainly comprises data monitoring, operational analysis and logic control, and the communication and communication monitoring module is the basic function of the device and is decoupled from the application).
The specific implementation mode is as follows:
the neighbor Discovery protocol ndp (neighbor Discovery protocol) is applied to discover the directly connected neighbor information. The NDP operates at a data link layer, and thus can support different network layer protocols including device names, software/hardware versions, connection ports, etc. of adjacent devices, and can also provide information of ID, port address, hardware platform, etc. of the devices. The NDP-supported equipment maintains an NDP neighbor information table, each table entry in the neighbor information table can be aged, and once the aging time is up, the NDP automatically deletes the corresponding neighbor table entry. Meanwhile, the user may clear the current NDP information to re-collect the adjacency information.
1) The neighbor topology Discovery protocol ntdp (neighbor topology Discovery protocol) is applied to collect network topology information. The NTDP provides device information that can join the cluster for cluster management, and collects topology information of switches within a specified hop count. The NDP provides the adjacency list information for the NTDP, and the NTDP sends and forwards the NTDP topology collection request according to the adjacency information and collects the NDP information of each device in a certain network range and the connection information between the device and all neighbors. After the information is collected, the management device or the network manager can use the information as required to complete the required functions. When the NDP on the member equipment finds that the neighbor changes, the neighbor change message is notified to the management equipment through the handshake message, and the management equipment can start the NTDP to perform specified topology collection, so that the NTDP can reflect the change of the network topology in time.
2) An RSTP (rapid spanning Tree Protocol) Protocol is applied to support a networking mode of any network topology. The protocol can be applied to a loop network, realizes path redundancy through a certain algorithm (a path search algorithm, the algorithm standard is IEEE 802.1D 2004), and simultaneously prunes the loop network into a loop-free tree network, thereby avoiding the proliferation and infinite circulation of messages in the loop network. In any network topology, the following three problems are mainly solved:
a) ring formation is prevented: the network interruption and paralysis are caused by the connection of the switches into a ring;
b) redundant path: path redundant I/O (multi path I/O) refers to multiple physical paths for communication between devices, and when an I/O of one of the physical paths fails, it can be transferred to another normal physical path, and the application program cannot detect the change, thereby improving the availability of the system. Multipath redundant I/O can also realize load balance of I/O and improve system performance, but is mainly a fault-tolerant mechanism.
c) Path switching: when the network topology changes, the path can be switched rapidly.
3) Through the steps, the equipment can reestablish the network communication routing table to form a local area network, and data interaction is realized.
And thirdly, preprocessing the original data in the data collection process. And (4) filtering, cleaning, aggregating, optimizing quality (eliminating bad data and the like) and analyzing semantics of the original data. Carrying out consistency check on the original data, checking the correlation between the reasonable value range of each data and the related data, filtering and cleaning the data beyond the normal value range or the data with inconsistent logic, and carrying out interpolation supplementation; aggregating repeated original data, and merging by adopting an average value or a direct substitution method; and finally, storing the high-quality data meeting the requirements into the time sequence database according to the unified model to form an edge data platform.
And fourthly, according to the logic of the coordination control of the regional power grid, the substation terminal determines that the publishing/subscribing data set starts to carry out data information interaction. The data information publishing and subscribing mode adopts DDS (data Distribution service) to perform data interaction in an IP (Internet protocol) PLC (programmable logic controller) mode. Or the data information is subjected to data interaction in an MQTT mode and an LoRa mode. And (the strategy is that active and reactive outputs of photovoltaic power generation and wind power generation are controlled according to a given output power curve, or the strategy and logic of charge and discharge control of an energy storage system or power supply switching of important loads) are executed, and the strategy is executed locally based on a predefined rule and a data analysis result. Or the data is issued to other substation equipment nodes for processing. All application programs of the substation equipment edge computing system support a data exchange mode of data publishing and subscribing according to a uniform data model, and the data exchange mode can also be directly accessed by a database interface. The policy of the publish-subscribe may be set in advance in general, or the data content of the publish-subscribe may be set temporarily in the application.
Fifthly, analyzing different types of data by adopting a proper data analysis Processing method (statistical and mathematical model operation can be adopted for analog quantity data and switching quantity data, and Complex Event Processing can be adopted for various received alarm messages to obtain comprehensive alarm information so as to finally eliminate alarms), wherein in general, the data analysis Processing method comprises the statistical and mathematical model operation, and the Complex Event Processing method (Complex Event Processing (CEP) is an analysis technology based on Event flow in a dynamic environment, wherein events usually have meaningful state changes, and a detection rule is formulated according to the time sequence relation and the aggregation relation among the events by analyzing the relation among the events, so as to continuously inquire an Event sequence meeting the requirements from the Event flow, the final analysis results in more complex composite events).
Finally, data visualization and storage: by adopting the technologies such as the time sequence database and the like, the storage space can be greatly saved and the high-speed read-write operation requirement can be met. And the vivid presentation is realized by utilizing new generation interactive technologies such as AR, VR and the like.
As shown in fig. 5, in the development process of the low-voltage distribution measurement and control device, the concept of edge calculation and the whole set of multi-source data processing method flow are applied. The low-voltage distribution measurement and control equipment adopts a unified architecture design. Hardware platform and modularization, software containerization and APP. The device has the capability of edge computing and intelligent analysis, and service data can be analyzed and processed in cooperation with end cloud on site. The terminal interface is abundant, nimble extension, easy maintenance, and interchangeable supports convenient quick access, the lean remote management that realizes all kinds of equipment such as platform district equipment, distributed generator, the electric pile of filling, sensor.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and therefore, the scope of the present invention should be determined by the scope of the claims.
Claims (8)
1. A method for coordination control of autonomous networking of a power distribution network terminal based on an edge computing technology is characterized by comprising the following steps: the method comprises the following steps:
(1) the data collection center stores the data acquired or produced by each APP to the data center; each APP acquires various types of data according to a calling interface of the data center; the data center manages data according to a specific rule;
(2) when the communication between the scheduling main station and each substation is normal, the substations transmit data to the scheduling main station in a time sequence, and the main station performs calculation analysis processing to control the stable and coordinated operation of the power distribution network; after communication between the scheduling main station and each substation is interrupted, the substation equipment of the adjacent substation, including the distributed new energy, the distributed energy storage system, the user load and the power grid substation, searches network paths of the adjacent substation terminal equipment and establishes a network routing table by innovating an application network routing protocol on the embedded measurement and control terminal through a wireless 4G public network, power carrier communication and an optical fiber communication network, reestablishes an equipment communication local area network, and performs local network data interaction;
(3) performing data preprocessing on the original data in the data collection process in the step (1) to form an edge data platform;
(4) according to the logic of the coordination control of the regional power grid, the substation terminal determines that a publishing/subscribing data set starts to carry out data information interaction; in the data information publishing and subscribing mode, data interaction is carried out in an IP PLC mode by adopting a DDS, or data interaction, data distribution and policy execution are carried out in an LoRa mode by adopting data information in an MQTT mode, and policy execution is carried out locally based on a predefined rule and a data analysis result; or the data is issued to other substation equipment nodes for processing; all application programs of the substation equipment edge computing system support a data exchange mode of data publishing and subscribing according to a uniform data model, and are directly accessed by a database interface; the strategy of the publish-subscribe is preset through a configuration file, or the data content of the publish-subscribe is temporarily set in the application;
(5) analyzing different types of data by adopting corresponding data analysis processing methods, wherein the data analysis processing methods comprise statistics, mathematical model operation and complex event processing modes;
(6) data visualization and storage: and a time sequence database is adopted for storage, and AR and VR interaction technology is utilized for vivid presentation.
2. The method for coordination control over autonomous networking of the power distribution network terminal based on the edge computing technology according to claim 1, wherein the method comprises the following steps: the data center is internally divided into a real-time library and a freezing library, the real-time library adopts fastdb, and the freezing library adopts sqlite 3.
3. The method for coordination control over autonomous networking of the power distribution network terminal based on the edge computing technology according to claim 1, wherein the method comprises the following steps: the data center communication mode adopts the mqtt protocol.
4. The method for coordination control over autonomous networking of the power distribution network terminal based on the edge computing technology according to claim 1, wherein the method comprises the following steps: the structure for organizing data in the data center interface adopts JSON syntax.
5. The method for coordination control over autonomous networking of the power distribution network terminal based on the edge computing technology according to claim 1, wherein the method comprises the following steps: the data center adopts the concept of an object model, data are stored in a classified mode according to equipment, the equipment adopts the model for abstraction, and the object model comprises a real-time model, a historical model, a parameter model and a service model.
6. The method for coordination control over autonomous networking of the power distribution network terminal based on the edge computing technology according to claim 1, wherein the method comprises the following steps: the specific implementation method of the step (2) comprises the following steps:
1) the NDP is used for discovering directly connected neighbor information, the NDP runs on a data link layer, different network layer protocols are supported, NDP equipment is supported to maintain an NDP neighbor information table, once the aging time of each table item in the neighbor information table is up, the NDP automatically deletes the corresponding neighbor table item, and meanwhile, a user can clear the current NDP information to re-collect the adjacent information;
2) collecting network topology information by using a Neighbor Topology Discovery Protocol (NTDP), providing equipment information which can be added into a cluster for cluster management by the NTDP, collecting topology information of a switch within a specified hop count, providing adjacency list information for the NTDP by the NDP, sending and forwarding an NTDP topology collection request by the NTDP according to the adjacency information, collecting the NDP information of each equipment within a set network range and connection information between the NDP information and all neighbors, using the information as required by a management equipment or a network manager after the information is collected, completing a required function, notifying the management equipment of a neighbor change message through a handshake message when the NDP on member equipment discovers that the neighbor is changed, and starting the NTDP by the management equipment to perform specified topology collection;
3) the RSTP rapid spanning tree protocol is applied to support a networking mode of any network topology, the protocol is applied to a loop network, path redundancy is realized through a set algorithm, and the loop network is pruned into a loop-free tree network;
4) through steps 1) -3), the equipment can reestablish a network communication routing table to form a local area network, and data interaction is realized.
7. The method for coordination control over autonomous networking of the power distribution network terminal based on the edge computing technology according to claim 1, wherein the method comprises the following steps: the data preprocessing method in the step 3) comprises the following steps: and filtering, cleaning, aggregating, optimizing quality and analyzing semantics of the original data.
8. The method for coordination control over autonomous networking of the power distribution network terminal based on the edge computing technology according to claim 7, wherein: the data preprocessing method comprises the following specific steps: carrying out consistency check on the original data, checking the correlation between the reasonable value range of each data and the related data, filtering and cleaning the data beyond the normal value range or the data with inconsistent logic, and carrying out interpolation supplementation; aggregating repeated original data, and merging by adopting an average value or a direct substitution method; and finally, storing the high-quality data meeting the requirements into the time sequence database according to the unified model to form an edge data platform.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114024988A (en) * | 2021-10-29 | 2022-02-08 | 许继集团有限公司 | Dynamic data acquisition system and method for new energy centralized control |
| CN115276244A (en) * | 2022-09-26 | 2022-11-01 | 国网江西省电力有限公司电力科学研究院 | Self-healing feeder automation control method based on 5G edge nodes |
| CN116566046A (en) * | 2023-05-05 | 2023-08-08 | 山东鲁能超越电气有限公司 | Visual online intelligent management platform based on box-type substation |
| CN114024988B (en) * | 2021-10-29 | 2024-05-10 | 许继集团有限公司 | Dynamic data acquisition system and method for new energy centralized control |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110235550A1 (en) * | 2010-03-29 | 2011-09-29 | Harris Corporation | Network layer topology management for mobile ad-hoc networks and associated methods |
| CN102857363A (en) * | 2012-05-04 | 2013-01-02 | 运软网络科技(上海)有限公司 | Automatic computing system and method for virtual networking |
| WO2014063496A1 (en) * | 2012-10-26 | 2014-05-01 | 北京通宇泰克科技有限公司 | Wireless burglar alarm terminal used in manhole cover |
| WO2017101575A1 (en) * | 2015-12-16 | 2017-06-22 | 中兴通讯股份有限公司 | Wireless ad hoc network routing method and device |
| CN109618381A (en) * | 2018-11-27 | 2019-04-12 | 国网山东省电力公司济宁供电公司 | Ad hoc network communication method and ad hoc network communication system |
| CN110851280A (en) * | 2019-11-13 | 2020-02-28 | 深圳航天智慧城市系统技术研究院有限公司 | Automatic data acquisition method based on distributed intelligent edge computing technology |
-
2021
- 2021-04-09 CN CN202110387255.8A patent/CN113094174B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110235550A1 (en) * | 2010-03-29 | 2011-09-29 | Harris Corporation | Network layer topology management for mobile ad-hoc networks and associated methods |
| CN102857363A (en) * | 2012-05-04 | 2013-01-02 | 运软网络科技(上海)有限公司 | Automatic computing system and method for virtual networking |
| WO2014063496A1 (en) * | 2012-10-26 | 2014-05-01 | 北京通宇泰克科技有限公司 | Wireless burglar alarm terminal used in manhole cover |
| WO2017101575A1 (en) * | 2015-12-16 | 2017-06-22 | 中兴通讯股份有限公司 | Wireless ad hoc network routing method and device |
| CN109618381A (en) * | 2018-11-27 | 2019-04-12 | 国网山东省电力公司济宁供电公司 | Ad hoc network communication method and ad hoc network communication system |
| CN110851280A (en) * | 2019-11-13 | 2020-02-28 | 深圳航天智慧城市系统技术研究院有限公司 | Automatic data acquisition method based on distributed intelligent edge computing technology |
Non-Patent Citations (1)
| Title |
|---|
| 吴万禄;韦钢;谢丽蓉;张鑫: "含分布式电源与充电站的配电网协调规划", 电力系统保护与控制, vol. 42, no. 15 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114024988A (en) * | 2021-10-29 | 2022-02-08 | 许继集团有限公司 | Dynamic data acquisition system and method for new energy centralized control |
| CN114024988B (en) * | 2021-10-29 | 2024-05-10 | 许继集团有限公司 | Dynamic data acquisition system and method for new energy centralized control |
| CN115276244A (en) * | 2022-09-26 | 2022-11-01 | 国网江西省电力有限公司电力科学研究院 | Self-healing feeder automation control method based on 5G edge nodes |
| CN116566046A (en) * | 2023-05-05 | 2023-08-08 | 山东鲁能超越电气有限公司 | Visual online intelligent management platform based on box-type substation |
| CN116566046B (en) * | 2023-05-05 | 2023-10-10 | 山东鲁能超越电气有限公司 | Visual online intelligent management platform based on box-type substation |
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