CN112381306A - Intelligent operation and maintenance management and control platform for power distribution network - Google Patents
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Abstract
The invention discloses an intelligent operation and maintenance management and control platform for a power distribution network, which comprises a power distribution big data cloud platform and a terminal system; the power distribution big data cloud platform comprises a storage system, a data acquisition system, a data processing system, a power distribution equipment operation state evaluation system and an operation and maintenance management and control auxiliary decision system; the terminal system is used for remotely transmitting data with the storage system, and acquiring and displaying the decision scheme of the operation and maintenance management and control auxiliary decision system. The intelligent management system controls the working condition of the electrical equipment of the power distribution network by acquiring the state of the electrical equipment and the operating environment information, realizes the intelligent management of the power distribution network, and solves the problems of low intelligent degree and poor flexibility of the power distribution network in the prior art.
Description
Technical Field
The invention belongs to the technical field of intelligent control of power distribution networks, and particularly relates to an intelligent operation and maintenance management and control platform for a power distribution network.
Background
The power distribution network has extremely high requirements on the safety and stable operation and maintenance of power equipment, and for a long time, the management work of the power distribution equipment and a pipe cable is one of weak links of the operation management reliability of a power supply and distribution system, the equipment operation is influenced by the tripping of switches of some distribution rooms and the overheating of the environment of the distribution rooms, the equipment is damaged due to water immersion of the distribution rooms, the equipment is easily burnt, the normal power consumption of users is also easily influenced, and the faults are often ignored by people, the maintenance is delayed, and the emergency fire fighting disposal time is too long, so that major accidents are caused. For many years, because power grids and enterprises of chemical engineering, steel and mineral products lack detection means, the power distribution devices are measured and inspected one by workers on several specified days every year or every month, and the result is time-consuming and labor-consuming, so that the real situation can not be reflected in time, and the actual problem can not be solved in time. The stable operation of distribution network is related to end user's power consumption and is experienced, but for the major network, the framework basis of joining in marriage the net is relatively poor, and spatial grid structure is single, has a large amount of old equipment, and the trouble is high to be sent out, salvagees and fortune dimension work for the distribution network power supply and causes great influence. Moreover, as the automation level of the power distribution network is relatively low, the distribution network equipment is not uniform, the distribution transportation and inspection personnel are in short supply and the transportation and inspection technology is backward, great tests are provided for the safe and stable operation of the distribution network. After frequent accidents occur, the problems of the power distribution network equipment are discovered, the customer experience is reduced, and huge loss is caused.
The existing product only comprises an electrical equipment state monitoring system, an operating environment monitoring system, a security subsystem and a personnel management and control system, and monitoring data are in a single island mode and linkage is not formed.
Disclosure of Invention
The invention aims to provide an intelligent operation and maintenance management and control platform for a power distribution network aiming at the defects in the prior art. This platform links in order to improve the intelligent management to the distribution network on current distribution network electrical equipment state monitoring system, operational environment monitored control system, security protection subsystem, personnel management and control system basis to distribution network monitoring data, guarantees power equipment safety and stability fortune dimension, has solved current technique distribution network intelligent degree low, the poor problem of flexibility.
In order to achieve the purpose, the invention adopts the following technical scheme:
a power distribution network intelligent operation and maintenance management and control platform comprises a power distribution big data cloud platform and a terminal system; the power distribution big data cloud platform comprises a storage system, a data acquisition system, a data processing system, a power distribution equipment operation state evaluation system and an operation and maintenance management and control auxiliary decision system; the storage system is used for storing data of the power distribution network; the data acquisition system is used for acquiring power distribution network data and sending the power distribution network data to the storage system; the data processing system is used for carrying out data calculation processing on the power distribution network data stored in the storage system; the power distribution equipment running state evaluation system is used for acquiring data analyzed and processed by the data processing system, establishing a power distribution equipment health state evaluation and prediction model, bringing current power distribution network data acquired by the data acquisition system into the power distribution equipment health state evaluation and prediction model, and performing evaluation and scoring; the operation and maintenance management and control auxiliary decision making system is used for providing a decision making scheme according to the scoring information of the current power distribution network data in the power distribution equipment health state evaluation and prediction model; the terminal system is used for remotely transmitting data with the storage system, and acquiring and displaying the decision scheme of the operation and maintenance management and control auxiliary decision system.
Further illustratively, the storage system includes a distributed file system, a distributed column database, a distributed database, and a split-Hill cache database.
Further, the power distribution network data includes power grid primary model data, power distribution equipment ledger and communication network channel information, power distribution equipment real-time operation state and communication state data, alarm information, operation record information, and measurement history data.
Further, the data processing system comprises a real-time data calculation processing unit, a historical data processing unit and a data mining analysis processing unit; the data mining analysis processing unit is used for deeply mining the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment and establishing the association relation between the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment.
Further, the power distribution equipment operation state evaluation system acquires the incidence relation between the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment, and establishes a power distribution equipment health state evaluation model.
Further, the operation steps of the operation and maintenance management and control aid decision system include:
s1 optimizing the operation and maintenance plan: optimizing and arranging an operation maintenance plan according to the evaluation condition of the health state of the power distribution equipment;
s2 familial defect analysis: by clustering and correlating analysis on the defects of the power distribution equipment, an operation maintenance strategy and plan are provided on the basis of identifying familial characteristics in the power distribution equipment;
s3 spare part management optimization: the method comprises the steps of carrying out deep analysis on multiple dimensions on equipment, predicting the types and the quantity of spare parts required in a period of time in the future by combining state evaluation and fault prediction of the power distribution equipment, and optimally arranging a purchasing plan of the spare parts.
Further, the terminal system is a handheld terminal device and is used for performing data interaction with a power distribution big data cloud platform in a remote wireless mode.
Further, the data mining analysis processing unit adopts a Spark MLlib mining algorithm package, specifically, an association rule mining Apriori algorithm.
The specific algorithm of association rule mining is Apriori algorithm, the main principle is to find out all data item sets which are more than or equal to the minimum support degree specified by a user in an object database, generate the association rule required by the user by using frequent item sets, accept or reject according to the minimum confidence degree set by the user, and finally obtain the strong association rule; the method specifically comprises the following steps:
s1 scans the entire data to generate a set C of candidate 1-item sets1；
S2 selecting a candidate 1-item set C according to the minimum support degree1Generating a set L of frequent 1-items1；
S3 repeatedly executes steps S4, S5, S6 for k > 1;
s4 is composed of LkPerforming join and branch-subtract operations to produce a set C of candidate k + 1-term setsk+1；
S5 selecting a set C of candidate (k + 1) -term sets according to the minimum support degreek+1Generating a set L of frequent (k + 1) -term setsk+1；
S6, if L is not equal to ∅, k = k +1, the step jumps by 4, otherwise, it ends;
and S7, generating a strong association rule from the frequent item set according to the minimum confidence coefficient, and ending.
The association rule mining Apriori algorithm is used for scanning and deeply mining the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment and establishing the association relationship among the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment.
Further, the information of the distribution equipment ledger and the communication network channel comprises equipment type, manufacturer, model, commissioning time and the communication substation to which the equipment type, manufacturer, model and commissioning time belong; the real-time running state and communication state data of the power distribution equipment comprise a battery state, a mains supply state and an online state; the alarm information comprises feeder switch state displacement information and distribution intelligent equipment operation state alarm; the operation record information comprises operation types, time and operation results; and the measurement historical data is sampled and stored for measurement real-time data at specified time intervals by the power distribution automation master station system.
Further, the power distribution equipment health state evaluation model further comprises an evaluation unit, wherein the evaluation unit is a health index table with a value range of 0-100 and is used for evaluating the current health state of the equipment.
The invention has the advantages that:
compared with the prior art, the method adopts big data and cloud computing technology, realizes the structural design of the intelligent operation and maintenance control platform of the power distribution network based on multi-stage application penetration control, and provides support for the establishment of the operation and maintenance control system of the power distribution network; on the basis of multi-source service data of a large data platform, a power distribution network equipment state analysis technology is adopted, distribution network model management, operation and inspection service data analysis and mining are achieved, and operation and inspection service process management and control are supported; fault analysis and automatic identification are realized in a cloud system, the whole life cycle running state of the equipment and closed-loop management in the operation and maintenance process are realized, and decision support is provided for maintenance strategy optimization, equipment model selection and spare part management.
Drawings
Fig. 1 is a diagram of an intelligent interconnection power distribution operation and maintenance management system according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Example 1:
the embodiment discloses a distribution network intelligent operation and maintenance management and control platform, and refer to fig. 1.
The embodiment carries out intelligent transformation on the power distribution equipment, or integrates and applies the power distribution equipment with the Internet technology on the basis of the prior protection device technology, the four-remote function is realized by collecting interface signals, on-off state signals and electrical parameter signals of the distribution automation device, a temperature and humidity sensor, a water immersion sensor, a smoke detector, a temperature detector, a wireless busbar temperature measuring device, a transformer (switch cabinet) partial discharge monitoring, entrance guard monitoring equipment, security monitoring equipment, fire fighting equipment and other devices are arranged to establish a distribution equipment on-line monitoring system, the real-time state monitoring of distribution room equipment and the all-weather state monitoring of the environment in a distribution room are realized, and the distribution network intelligent operation and maintenance control platform controls the working condition of the distribution network electrical equipment by collecting the distribution network data, the system management is carried out on the inspection personnel, and intelligent operation and maintenance management is realized so as to meet the requirement of intelligent management of the power distribution room.
The intelligent operation and maintenance management and control platform for the power distribution network comprises a power distribution big data cloud platform and a terminal system, wherein the power distribution big data cloud platform comprises a storage system, a data acquisition system, a data processing system, a power distribution equipment operation state evaluation system and an operation and maintenance management and control auxiliary decision making system.
The storage system is used for storing power distribution network data, and the power distribution network data comprises power distribution network primary model data, power distribution equipment ledger and communication network channel information, power distribution equipment real-time running state and communication state data, alarm information, operation record information and measurement history data, wherein the power distribution equipment ledger and communication network channel information comprises equipment types, manufacturers, models, commissioning time and affiliated communication substations; the real-time running state and communication state data of the power distribution equipment comprise a battery state, a mains supply state and an online state; the alarm information comprises feeder switch state displacement information and distribution intelligent equipment operation state alarm; the operation record information comprises operation types, time and operation results; and the measurement historical data is sampled and stored for measurement real-time data at specified time intervals by the power distribution automation master station system. The data acquisition system is used for acquiring power distribution network data and sending the power distribution network data to the storage system; the data processing system is used for performing data calculation processing on the data of the storage power distribution network in the storage system; the power distribution equipment running state evaluation system is used for acquiring data analyzed and processed by the data processing system, establishing a power distribution equipment health state evaluation and prediction model, bringing current power distribution network data acquired by the data acquisition system into the power distribution equipment health state evaluation and prediction model, and performing evaluation and scoring; the operation and maintenance management and control auxiliary decision making system is used for providing a decision making scheme according to the scoring information of the current power distribution network data in the power distribution equipment health state evaluation and prediction model; the terminal system is used for remotely transmitting data with the storage system, and acquiring and displaying a decision scheme of the operation and maintenance management and control auxiliary decision system;
the storage system comprises a distributed file system, a distributed column database, a distributed database and a minute-type cache database. Structured data such as description information, alarm information and the like related to equipment can be generated when a power distribution network and a terminal system work and are stored by Hive, real-time data is cached in a memory by adopting Redis, and measurement historical data is stored by adopting HBase.
Optionally, the data processing system includes a real-time data computing processing unit, a historical data processing unit, and a data mining analysis processing unit; the data mining analysis processing unit is used for deeply mining the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment and establishing the association relation between the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment. The real-time data computing and processing unit adopts an internal memory batch processing computing engine (Spark), and the historical data processing unit adopts an offline batch processing computing engine (MapReduce); the data mining analysis engine adopts Spark MLlib mining algorithm package, in particular Apriori association rule mining algorithm. Particularly, the power distribution equipment running state evaluation system acquires the incidence relation between the fault history information, the running state information and the insulation abnormal information of the power distribution equipment and establishes a power distribution equipment health state evaluation model
The power distribution equipment running state evaluation system of the embodiment establishes running state models of various power distribution equipment by using multi-dimensional data, researches association rules and evolution rules between information such as power distribution equipment faults and self running state parameters by using a multi-source big data analysis algorithm, establishes a power distribution equipment health state evaluation and prediction model, and adjusts the parameters and weights by using a machine learning and association analysis algorithm. And evaluating the current health state of the equipment by using a health index table with a value range of 0-100 according to the current information by using a power distribution automation terminal health state evaluation model.
Specifically, the operation and maintenance management and control assistant decision-making system comprises the following steps:
s1 optimizing the operation and maintenance plan: optimizing and arranging an operation maintenance plan according to the evaluation condition of the health state of the power distribution equipment;
s2 familial defect analysis: by clustering and correlating analysis on the defects of the power distribution equipment, an operation maintenance strategy and plan are provided on the basis of identifying familial characteristics in the power distribution equipment;
and S3, managing and optimizing spare parts, namely deeply analyzing the equipment in multiple dimensions, predicting the types and the quantity of the spare parts required in a period of time in the future by combining the state evaluation and the fault prediction of the power distribution equipment, and optimally arranging the purchasing plan of the spare parts.
Optionally, the terminal system is a handheld terminal device and is used for performing data interaction with the power distribution big data cloud platform in a remote wireless mode. The terminal system can be selected from handheld communicator, mobile phone and other devices with communication function. As shown in fig. 1, the terminal system is a handheld terminal, and has functions of information acquisition, recording and communication.
Aiming at the defects existing in the traditional operation and maintenance mode of the power distribution equipment and the problems which need to be solved urgently, the embodiment adopts big data and cloud computing technology to realize the structural design of the intelligent operation and maintenance control platform of the power distribution network based on multi-stage application penetration control, and provides support for the establishment of the operation and maintenance control system of the power distribution network; on the basis of multi-source service data of a large data platform, a power distribution network equipment state analysis technology is adopted, distribution network model management, operation and inspection service data analysis and mining are achieved, and operation and inspection service process management and control are supported; fault analysis and automatic identification are realized in a cloud system, the whole life cycle running state of the equipment and closed-loop management in the operation and maintenance process are realized, and decision support is provided for maintenance strategy optimization, equipment model selection and spare part management.
It should be understood that the above-described embodiments are merely examples for clearly illustrating the present invention and are not intended to limit the practice of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description; this is not necessary, nor exhaustive, of all embodiments; and obvious variations or modifications of the invention may be made without departing from the scope of the invention.
Claims (8)
1. The intelligent operation and maintenance management and control platform for the power distribution network is characterized by comprising a power distribution big data cloud platform and a terminal system;
the power distribution big data cloud platform comprises a storage system, a data acquisition system, a data processing system, a power distribution equipment operation state evaluation system and an operation and maintenance management and control auxiliary decision system;
the storage system is used for storing data of the power distribution network;
the data acquisition system is used for acquiring power distribution network data and sending the power distribution network data to the storage system;
the data processing system is used for carrying out data calculation processing on the power distribution network data stored in the storage system;
the power distribution equipment running state evaluation system is used for acquiring data analyzed and processed by the data processing system, establishing a power distribution equipment health state evaluation and prediction model, bringing current power distribution network data acquired by the data acquisition system into the power distribution equipment health state evaluation and prediction model, and performing evaluation and scoring;
the operation and maintenance management and control auxiliary decision making system is used for providing a decision making scheme according to the scoring information of the current power distribution network data in the power distribution equipment health state evaluation and prediction model;
the terminal system is used for remotely transmitting data with the storage system, and acquiring and displaying a decision scheme of the operation and maintenance management and control auxiliary decision system;
the storage system comprises a distributed file system, a distributed column database, a distributed database and a minute-form cache database;
the power distribution network data comprises power grid primary model data, power distribution equipment ledger and communication network channel information, power distribution equipment real-time running state and communication state data, alarm information, operation record information and measurement historical data;
the data processing system comprises a real-time data calculation processing unit, a historical data processing unit and a data mining analysis processing unit; the data mining analysis processing unit is used for deeply mining the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment and establishing the association relation between the fault history information, the operation state information and the insulation abnormal information of the power distribution equipment.
2. The distribution network intelligent operation and maintenance management and control platform according to claim 1, wherein the distribution equipment operation state evaluation system collects association relations between fault history information, operation state information and insulation abnormality information of distribution equipment, and establishes a distribution equipment health state evaluation model.
3. The intelligent operation and maintenance management and control platform for the power distribution network according to claim 1, wherein the operation and maintenance management and control aid decision-making system comprises:
s1 optimizing the operation and maintenance plan: optimizing and arranging an operation maintenance plan according to the evaluation condition of the health state of the power distribution equipment;
s2 familial defect analysis: by clustering and correlating analysis on the defects of the power distribution equipment, an operation maintenance strategy and plan are provided on the basis of identifying familial characteristics in the power distribution equipment;
s3 spare part management optimization: the method comprises the steps of carrying out deep analysis on multiple dimensions on equipment, predicting the types and the quantity of spare parts required in a period of time in the future by combining state evaluation and fault prediction of the power distribution equipment, and optimally arranging a purchasing plan of the spare parts.
4. The intelligent operation and maintenance management and control platform for power distribution network according to claim 1, wherein the terminal system is a handheld terminal device and is used for performing data interaction with the power distribution big data cloud platform in a remote wireless manner.
5. The distribution network intelligent operation and maintenance management and control platform according to claim 1, wherein the data mining analysis processing unit employs a Spark MLlib mining algorithm package, specifically an association rule mining Apriori algorithm.
6. The distribution network intelligent operation and maintenance management and control platform according to claim 5, wherein the association rule mining Apriori algorithm specifically comprises:
s1 scans the entire data to generate a set C of candidate 1-item sets1；
S2 selecting a candidate 1-item set C according to the minimum support degree1Generating a set L of frequent 1-items1；
S3 repeatedly executes steps S4, S5, S6 for k > 1;
s4 is composed of LkPerforming join and branch-subtract operations to produce a set C of candidate k + 1-term setsk+1；
S5 selecting a set C of candidate (k + 1) -term sets according to the minimum support degreek+1Generating a set L of frequent (k + 1) -term setsk+1；
S6, if L is not equal to ∅, k = k +1, the step jumps by 4, otherwise, it ends;
and S7, generating a strong association rule from the frequent item set according to the minimum confidence coefficient, and ending.
7. The intelligent operation and maintenance management and control platform for the power distribution network according to claim 1, wherein the power distribution equipment ledger and communication network channel information comprises equipment types, manufacturers, models, commissioning time and the communication substations to which the equipment types, manufacturers, models and commissioning time belong; the real-time running state and communication state data of the power distribution equipment comprise a battery state, a mains supply state and an online state; the alarm information comprises feeder switch state displacement information and distribution intelligent equipment operation state alarm; the operation record information comprises operation types, time and operation results; and the measurement historical data is sampled and stored for measurement real-time data at specified time intervals by the power distribution automation master station system.
8. The distribution network intelligent operation and maintenance management and control platform according to claim 1, wherein the distribution equipment health state evaluation model further comprises an evaluation unit, and the evaluation unit is a health index table with a value range of 0-100 and is used for evaluating the current health state of equipment.
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| CN202011312429.6A CN112381306A (en) | 2020-11-20 | 2020-11-20 | Intelligent operation and maintenance management and control platform for power distribution network |
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| CN112686582A (en) * | 2021-03-11 | 2021-04-20 | 南方电网数字电网研究院有限公司 | Intelligent operation and maintenance system of comprehensive energy park based on multi-source heterogeneous data mining |
| CN113011846A (en) * | 2021-03-19 | 2021-06-22 | 国家电网有限公司 | Power grid operation and maintenance data collection and arrangement system |
| CN113341262A (en) * | 2021-07-13 | 2021-09-03 | 国网江苏省电力有限公司营销服务中心 | Platformization load data acquisition device |
| CN113708493A (en) * | 2021-08-26 | 2021-11-26 | 广东电网有限责任公司 | Cloud edge cooperation-based power distribution terminal operation and maintenance method and device and computer equipment |
| CN114399112A (en) * | 2022-01-14 | 2022-04-26 | 成都秦川物联网科技股份有限公司 | User evaluation obtaining method and system for natural gas energy metering |
| CN114764420A (en) * | 2022-04-07 | 2022-07-19 | 青岛沃柏斯智能实验科技有限公司 | Integrated illumination management system in laboratory |
| CN117394403A (en) * | 2023-12-07 | 2024-01-12 | 深圳市伟鹏世纪科技有限公司 | Big data analysis-based intelligent control system for charging and discharging of energy storage power supply |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112650761A (en) * | 2021-02-23 | 2021-04-13 | 善智互联(北京)网络科技有限公司 | Structured extraction method and system for transformer fault information |
| CN112686582A (en) * | 2021-03-11 | 2021-04-20 | 南方电网数字电网研究院有限公司 | Intelligent operation and maintenance system of comprehensive energy park based on multi-source heterogeneous data mining |
| CN112686582B (en) * | 2021-03-11 | 2021-07-13 | 南方电网数字电网研究院有限公司 | Intelligent operation and maintenance system of comprehensive energy park based on multi-source heterogeneous data mining |
| CN113011846A (en) * | 2021-03-19 | 2021-06-22 | 国家电网有限公司 | Power grid operation and maintenance data collection and arrangement system |
| CN113341262A (en) * | 2021-07-13 | 2021-09-03 | 国网江苏省电力有限公司营销服务中心 | Platformization load data acquisition device |
| CN113708493A (en) * | 2021-08-26 | 2021-11-26 | 广东电网有限责任公司 | Cloud edge cooperation-based power distribution terminal operation and maintenance method and device and computer equipment |
| CN113708493B (en) * | 2021-08-26 | 2023-07-28 | 广东电网有限责任公司 | Cloud edge cooperation-based power distribution terminal operation and maintenance method and device and computer equipment |
| CN114399112A (en) * | 2022-01-14 | 2022-04-26 | 成都秦川物联网科技股份有限公司 | User evaluation obtaining method and system for natural gas energy metering |
| CN114764420A (en) * | 2022-04-07 | 2022-07-19 | 青岛沃柏斯智能实验科技有限公司 | Integrated illumination management system in laboratory |
| CN114764420B (en) * | 2022-04-07 | 2024-03-19 | 青岛沃柏斯智能实验科技有限公司 | Laboratory integrated lighting management system |
| CN117394403A (en) * | 2023-12-07 | 2024-01-12 | 深圳市伟鹏世纪科技有限公司 | Big data analysis-based intelligent control system for charging and discharging of energy storage power supply |
| CN117394403B (en) * | 2023-12-07 | 2024-03-29 | 深圳市伟鹏世纪科技有限公司 | Big data analysis-based intelligent control system for charging and discharging of energy storage power supply |
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