CN108089080A - A kind of distribution network planning monitoring system - Google Patents

A kind of distribution network planning monitoring system Download PDF

Info

Publication number
CN108089080A
CN108089080A CN201711330747.3A CN201711330747A CN108089080A CN 108089080 A CN108089080 A CN 108089080A CN 201711330747 A CN201711330747 A CN 201711330747A CN 108089080 A CN108089080 A CN 108089080A
Authority
CN
China
Prior art keywords
hard spot
electric
submodule
network
electric network
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201711330747.3A
Other languages
Chinese (zh)
Other versions
CN108089080B (en
Inventor
汪宇怀
沈凯
沈亮
张静
秦奋
俞伟勇
胡伟
倪万珊
李题印
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HANGZHOU KAIDA ELECTRIC POWER CONSTRUCTION Co Ltd
Hangzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Original Assignee
HANGZHOU KAIDA ELECTRIC POWER CONSTRUCTION Co Ltd
Hangzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HANGZHOU KAIDA ELECTRIC POWER CONSTRUCTION Co Ltd, Hangzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd filed Critical HANGZHOU KAIDA ELECTRIC POWER CONSTRUCTION Co Ltd
Priority to CN201711330747.3A priority Critical patent/CN108089080B/en
Publication of CN108089080A publication Critical patent/CN108089080A/en
Application granted granted Critical
Publication of CN108089080B publication Critical patent/CN108089080B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a kind of distribution network planning monitoring systems, including acquisition module, communication module and main control module, main control module includes central processing unit, hard spot table modification submodule, Power network construction model construction submodule and parametrization DMU electric network model structure submodules.The application is by main control module according to the electric network data gathered, carry out hard spot table modification, it is then based on amended hard spot table and establishes hard spot Power network construction model, then hard spot Power network construction model parameterization is carried out, draw power grid dynamic parameter model, realize the automatic structure of electric network model, the real-time monitoring of power grid;And the time required to each monitoring side electric network model structure can be reduced, so as to improve validity, security traveling comfort and the efficiency of electric power networks regulation and control.

Description

A kind of distribution network planning monitoring system
Technical field
The present invention relates to power distribution network administrative skill field, more particularly to a kind of distribution network planning monitoring system.
Background technology
With the fast development of distribution network construction, electric network data is just progressively complicated to type, the direction of message diversification Development.The power distribution network of complicated pluralism proposes higher requirement to the safe operation of electric power, is transported in order to ensure the safety of power distribution network Row is, it is necessary to carry out power distribution network reasonably to plan and monitor, to find security risk, timely processing safety problem in advance.
At present, there is the system of simulation analysis, the grid condition of each section of monitoring route is required to carry out model Structure is checked and analyzed.Such as can not be by, then need again the structure of entire model.So Xun Huan, until performance parameter reaches pre- Issue value, while be not in the situation interfered during each parameters of electric power changes and meet the side such as intensity, fatigue The requirement in face.In this way, it is longer so that each monitoring section electric network model builds the required time, and can not can be according to being monitored The data that arrive carry out the automatic structure of dynamic model, cause the validity that electric power networks regulate and control, security traveling comfort and It is less efficient.
The content of the invention
The object of the present invention is to provide a kind of distribution network planning monitoring system, to reduce each monitoring section electric network model structure institute It takes time, and the automatic structure of dynamic model is carried out according to the data monitored, realize the real-time monitoring of electric network data, carry Validity, security traveling comfort and the efficiency of high electric power networks regulation and control.
To achieve the above object, the present invention provides a kind of distribution network planning monitoring system, including:
Acquisition module, the acquisition module includes multiple Function detection submodules with Beidou positioning module, for gathering The electric network data of default monitoring management section;
Communication module, for the communications intermediary as the acquisition module and main control module;
The main control module, the main control module include central processing unit, hard spot table modification submodule, Power network construction model Build submodule and parametrization DMU electric network model structure submodules;
The central processing unit utilizes corresponding Beidou positioning information and temporal information for receiving the electric network data The electric network data is marked, obtains mark electric network data, the mark electric network data is sent to the hard spot table repaiies Change module;
The hard spot table modification submodule is used for using default modification algorithm, and the mark electric network data is acted on pre- structure The hard spot table built changes the corresponding data of the hard spot table, draws hard spot table after modification;
The Power network construction model construction submodule is used for according to hard spot table after the modification, establishes hard spot Power network construction mould Type;
The parametrization DMU electric network models structure submodule is used to carry out at parametrization the hard spot Power network construction model Reason, and according to the hard spot Power network construction model, establish the Power network construction Point and Line Model in each region of network system;Based on the electricity Net construction Point and Line Model establishes the detailed digital-to-analogue of each regional power grid;Network system dotted line DMU models are established, and will be described detailed Digital-to-analogue decorates the parametrization DMU models for the network system dotted line DMU models, obtaining network system.
Optionally, the main control module further includes hard spot table structure submodule, for according to electric network composition form and operation Parameter establishes the kinetic model of network system using ADAMS;Read the location information of each hard spot including at least network system ADAMS hard spot files, the coordinate values of each hard spot in the ADAMS hard spots file are obtained, according to the coordinate values, structure The hard spot table of the prebuild;
Wherein, the hard spot table includes each hard spot fix name, the coordinate values of each hard spot and two neighboring seat The distance between mark value.
Optionally, the main control module further includes electric power networks status assessment submodule, for receiving the central processing Electric network data after the mark that device is sent;According to electric network data after the mark, power network is carried out using default appraisal procedure Network status assessment, draws assessment result.
Optionally, the main control module further includes prediction submodule, for according to the electric network data, generating tense curve With three-dimensional effect curve, the tense curve and the three-dimensional effect curve are compared and analyzed respectively with former measured curve pre- It surveys, draws analysis prediction result, and the electric network data and pre-stored electric network data are subjected to similarity comparison, draw comparison knot Fruit.
Optionally, the main control module further includes display sub-module, for showing the electric network data and the assessment knot Fruit, and show the result curve drawn based on the electric network data and the assessment result and the analysis prediction result and The comparison result.
Optionally, the main control module further includes human-computer interaction submodule, for receiving the instruction of user.
Optionally, the acquisition module includes at least voltage sensor, current sensor, frequency detecting submodule, load Detection sub-module, electric field strength detection sub-module and magnetic field intensity detection sub-module;
The electric network data includes at least voltage, electric current, frequency, load, electric field strength and magnetic field intensity.
Optionally, cloud computing platform is further included;The communication module includes PLC computing modules;The PLC operations module is led to Cross the cloud computing platform and the main control module two-way communication link.
Using above-mentioned technical proposal, by main control module according to the electric network data gathered, hard spot table modification is carried out, then Hard spot Power network construction model is established based on amended hard spot table, hard spot Power network construction model parameterization is then carried out, draws electricity Network dynamic parameter model realizes the automatic structure of electric network model, the real-time monitoring of power grid;And each monitoring side electricity can be reduced The time required to pessimistic concurrency control structure, so as to improve validity, security traveling comfort and the efficiency of electric power networks regulation and control.
Description of the drawings
It in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The embodiment of invention, for those of ordinary skill in the art, without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of structure diagram of distribution network planning monitoring system provided in an embodiment of the present invention.
Specific embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is Part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art All other embodiments obtained without making creative work belong to the scope of protection of the invention.
It please referring to Fig.1, Fig. 1 is a kind of structure diagram of distribution network planning monitoring system provided in an embodiment of the present invention, The system includes:
Acquisition module 100, acquisition module includes multiple Function detection submodules with Beidou positioning module, pre- for gathering If the electric network data of monitoring management section;
Wherein, the acquisition module 100 include at least but be not limited to voltage sensor, current sensor, frequency detecting submodule Block, load detecting submodule, electric field strength detection sub-module and magnetic field intensity detection sub-module.Correspondingly, collected Electric network data includes at least but is not limited to voltage, electric current, frequency, load, electric field strength and magnetic field intensity.
And electric network data is gathered by the detection unit with Beidou positioning module, it is equal so that all power grids detect data Beidou positioning information is carried, in this way, can be determined in order to detection module position, improves the accuracy of detection.
Specifically, load detecting submodule can include what is be detected for the fluctuation of load change rate to electric power networks Momentary load detection unit and the average load detection unit being detected for the fluctuation of load trend to electric power networks.Electric field Intensity detection submodule is specially electric field strength detector, and magnetic field intensity detection module is specially magnetic field intensity detector.
Communication module 200, for the communications intermediary as acquisition module and main control module;
Wherein, which can specifically include PLC computing modules, which can pass through wire communication Internet is connected to, can be connected with each other between different PLC computing modules by wireless communication module.
The system can also include cloud computing platform, and PLC operations module passes through cloud computing platform and main control module two-way Letter connection is communicated by full duplex mode between cloud computing platform and PLC computing modules and main control module and connected.
PLC computing modules, can also be to gathering mould in addition to it can be used as the communications intermediary of acquisition module and main control module Each Function detection unit of block is scheduled control.That is, communication module can be corresponded with function detection module and set, point It is other that control is scheduled to the voltage of electric power networks, electric current, frequency, load, electric field strength and magnetic field intensity.
Main control module 300, main control module include central processing unit 310, hard spot table modification submodule 320, Power network construction mould Type builds submodule 330 and parametrization DMU electric network model structure submodules 340.Specifically, which can be specific For the industrial computer of several redundant configurations, industrial computer can be connected with cloud computing platform, and each industrial computer has it Independent database.
Central processing unit 310 utilizes corresponding Beidou positioning information and temporal information to electricity for receiving electric network data Network data is marked, and obtains mark electric network data, and mark electric network data is sent to hard spot table modified module 320;
Hard spot table modification submodule 320 is used to, using default modification algorithm, mark electric network data is acted on prebuild Hard spot table changes the corresponding data of hard spot table, draws hard spot table after modification;
Power network construction model construction submodule 330 is used for according to hard spot table after modification, establishes hard spot Power network construction model;
DMU electric network models structure submodule 340 is parameterized to be used to carry out parameterized treatment to hard spot Power network construction model, and According to hard spot Power network construction model, the Power network construction Point and Line Model in each region of network system is established;Based on Power network construction dotted line mould Type establishes the detailed digital-to-analogue of each regional power grid;Network system dotted line DMU models are established, and detailed digital-to-analogue is decorated to power grid system System dotted line DMU models, obtain the parametrization DMU models of network system.
Hard spot table can be built in advance, may not be what is built in advance.Therefore in the present embodiment, main control module 300, which can also include hard spot table, builds submodule 350, for according to electric network composition form and operating parameter, being established using ADAMS The kinetic model of network system;The ADAMS hard spot files of the location information of each hard spot including at least network system are read, are obtained The coordinate values of each hard spot in ADAMS hard spot files, according to coordinate values, build the hard spot table of prebuild;Wherein, hard spot table Including the distance between each hard spot fix name, the coordinate values of each hard spot and two neighboring coordinate value.
More specifically, the building process of hard spot table can be specially using each hard in Mat lab reading ADAMS hard spot files The coordinate values of point, and each coordinate values are directed into excel files, it is stored in the first list of the excel files each The distance between hard spot title, coordinate values and two neighboring coordinate.It is put in the first row of the second list of the excel files Hard spot fix name is put, secondary series is linked to the corresponding coordinate values in the first list, and the 3rd row are linked in the first list The distance between corresponding two coordinates, then the excel files are the hard spot table of prebuild, which can be according to being gathered Real-time grid data modify.
Hard spot table change submodule 320 based on the electric network data that is gathered and the direct of the coherent element of hard spot table data or Indirect correspondence can change corresponding data in hard spot table, to complete the modification of hard spot table according to electric network data.So Afterwards, hard spot table of the meeting of Power network construction model construction submodule 330 based on modification, constructing one includes all hard of network system The Power network construction model of point coordinates.
Then, parameterized treatment can be carried out to Power network construction model by parameterizing DMU electric network models structure submodel 340, be made It obtains Power network construction model to associate with the foundation of hard spot table, and issues associated each hard spot in Power network construction model, specifically, profit The fix name in hard spot table and its numerical value are imported into hard spot in the form of length parameter with the parameter input function of CATIA softwares In CATPart models;Hard spot is expressed the meaning using the design table attack of CATIA softwares and is directed into hard spot in the form of design table CATPart models, and indicated when importing and import hard spot table excel the second lists of file;Utilize the equation editing of CATIA softwares The coordinate values of each hard spot in hard spot CATPart models are changed into corresponding design parameter by device;Use the issue of CATIA softwares Instrument issues each hard spot in hard spot CATPart models.
It parameterizes DMU electric network models and builds submodel 340 according to Power network construction model, establish network system each area Power network construction electric wire model, wherein, the Power network construction Point and Line Model in each region includes corresponding portion hard spot in the hard spot issued, And corresponding incidence relation is kept, Power network construction Point and Line Model is then based on, establishes the detailed digital-to-analogue of each regional power grid;Establish electricity Net system dotted line DMU models, and detailed digital-to-analogue is decorated to network system dotted line DMU models, obtain the parametrization of network system DMU models.
As can be seen that submodule 320 is changed by hard spot table, parametrization DMU electric network models build submodel 340, can be with According to the real-time grid monitoring data gathered, real-time electric network model is constructed, realizes the mobilism model of network system Structure, the real-time monitoring of power grid.At the same time it can also provide informative data for the planning of power distribution network, distribution network planning is realized The simulation analysis of policy.
In some embodiments possibles, main control module 300 can also include electric power networks status assessment submodule 360, For receiving electric network data after the mark of central processing unit transmission;According to electric network data after mark, using default appraisal procedure into Row electric power networks status assessment, draws assessment result.
In some embodiments possibles, main control module 300 can also include prediction submodule 370, for according to power grid Data generate tense curve and three-dimensional effect curve, and tense curve and three-dimensional effect curve are carried out respectively with former measured curve Comparative analysis is predicted, draws analysis prediction result, and electric network data and pre-stored electric network data are carried out similarity comparison, is drawn Comparison result.
Wherein, tense curve shows the initial data of each monitoring point or electric power networks supplemental characteristic changes with time feelings Condition, three-dimensional effect curve highlight the monitoring result of same time different measuring points with the changing rule of electric power networks spatial information.
In some embodiments possibles, main control module 300 can also include display sub-module 380, for showing power grid Data and assessment result, and show the result curve drawn based on electric network data and assessment result and analysis prediction result and Comparison result.Specifically, different results can be shown by different expression forms such as X-Y scheme or graphics so that related Information is intuitive and easy to understand.
Certainly, main control module 300 further includes human-computer interaction submodule 390, for receiving the instruction of user, for example, it can To receive the control instruction of user, then according to the control instruction, corresponding data sending to corresponding module is gone to perform.
A kind of distribution network planning monitoring system provided in an embodiment of the present invention, by main control module 300 according to acquisition module 100 electric network datas gathered carry out hard spot table modification, are then based on amended hard spot table and establish hard spot Power network construction mould Type then carries out hard spot Power network construction model parameterization, draws power grid dynamic parameter model, realize the automatic of electric network model Structure, the real-time monitoring of power grid;And the time required to each monitoring side electric network model structure can be reduced, so as to improve electric power networks tune Validity, security traveling comfort and the efficiency of control.
Each embodiment is described by the way of progressive in specification, the highlights of each of the examples are with other realities Apply the difference of example, just to refer each other for identical similar portion between each embodiment.
Professional further appreciates that, with reference to each exemplary unit of the embodiments described herein description And algorithm steps, can be realized with the combination of electronic hardware, computer software or the two, in order to clearly demonstrate hardware and The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These Function is performed actually with hardware or software mode, specific application and design constraint depending on technical solution.Specialty Technical staff can realize described function to each specific application using distinct methods, but this realization should not Think beyond the scope of this invention.
It can directly be held with reference to the step of method or algorithm that the embodiments described herein describes with hardware, processor The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology In any other form of storage medium well known in field.
Distribution network planning monitoring system provided by the present invention is described in detail above.It is used herein specifically A example is set forth the principle of the present invention and embodiment, and the explanation of above example is only intended to help to understand the present invention Method and its core concept.It should be pointed out that for those skilled in the art, original of the invention is not being departed from On the premise of reason, can also to the present invention some improvement and modification can also be carried out, these improvement and modification also fall into right of the present invention will In the protection domain asked.

Claims (8)

1. a kind of distribution network planning monitoring system, which is characterized in that including:
Acquisition module, the acquisition module includes multiple Function detection submodules with Beidou positioning module, default for gathering The electric network data of monitoring management section;
Communication module, for the communications intermediary as the acquisition module and main control module;
The main control module, the main control module include central processing unit, hard spot table modification submodule, Power network construction model construction Submodule and parametrization DMU electric network model structure submodules;
The central processing unit utilizes corresponding Beidou positioning information and temporal information to institute for receiving the electric network data It states electric network data to be marked, obtains mark electric network data, the mark electric network data is sent to the hard spot table changes mould Block;
The hard spot table modification submodule is used for using default modification algorithm, and the mark electric network data is acted on prebuild Hard spot table changes the corresponding data of the hard spot table, draws hard spot table after modification;
The Power network construction model construction submodule is used for according to hard spot table after the modification, establishes hard spot Power network construction model;
The parametrization DMU electric network models structure submodule is used to carry out parameterized treatment to the hard spot Power network construction model, And according to the hard spot Power network construction model, the Power network construction Point and Line Model in each region of network system is established;Based on the power grid Point and Line Model is constructed, establishes the detailed digital-to-analogue of each regional power grid;Establish network system dotted line DMU models, and by the detailed number Mould decorates the parametrization DMU models for the network system dotted line DMU models, obtaining network system.
2. distribution network planning monitoring system according to claim 1, which is characterized in that the main control module further includes hard spot Table builds submodule, for according to electric network composition form and operating parameter, establishing the kinetic simulation of network system using ADAMS Type;The ADAMS hard spot files of the location information of each hard spot including at least network system are read, obtain the ADAMS hard spots text The coordinate values of each hard spot in part according to the coordinate values, build the hard spot table of the prebuild;
Wherein, the hard spot table include each hard spot fix name, the coordinate values of each hard spot and two neighboring coordinate it Between distance value.
3. distribution network planning monitoring system according to claim 2, which is characterized in that the main control module further includes electric power Network state assesses submodule, for receiving electric network data after the mark of the central processing unit transmission;According to the mark Electric network data after note carries out electric power networks status assessment using default appraisal procedure, draws assessment result.
4. distribution network planning monitoring system according to claim 3, which is characterized in that the main control module further includes prediction Submodule, for according to the electric network data, tense curve and three-dimensional effect curve being generated, by the tense curve and the sky Between effect curve compare and analyze prediction with former measured curve respectively, draw analysis prediction result, and by the electric network data Similarity comparison is carried out with pre-stored electric network data, draws comparison result.
5. distribution network planning monitoring system according to claim 4, which is characterized in that the main control module further includes display Submodule for showing the electric network data and the assessment result, and is shown based on the electric network data and the assessment knot The result curve and the analysis prediction result and the comparison result that fruit is drawn.
6. distribution network planning monitoring system according to claim 5, which is characterized in that the main control module further includes man-machine Interaction submodule, for receiving the instruction of user.
7. distribution network planning monitoring system according to claim 1, which is characterized in that the acquisition module includes at least electricity Pressure sensor, current sensor, frequency detecting submodule, load detecting submodule, electric field strength detection sub-module and magnetic field are strong Spend detection sub-module;
The electric network data includes at least voltage, electric current, frequency, load, electric field strength and magnetic field intensity.
8. distribution network planning monitoring system according to any one of claims 1 to 7, which is characterized in that further include cloud computing Platform;The communication module includes PLC computing modules;The PLC operations module passes through the cloud computing platform and the master control Module two-way communication link.
CN201711330747.3A 2017-12-13 2017-12-13 Power distribution network planning monitoring system Active CN108089080B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711330747.3A CN108089080B (en) 2017-12-13 2017-12-13 Power distribution network planning monitoring system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711330747.3A CN108089080B (en) 2017-12-13 2017-12-13 Power distribution network planning monitoring system

Publications (2)

Publication Number Publication Date
CN108089080A true CN108089080A (en) 2018-05-29
CN108089080B CN108089080B (en) 2020-03-31

Family

ID=62175303

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711330747.3A Active CN108089080B (en) 2017-12-13 2017-12-13 Power distribution network planning monitoring system

Country Status (1)

Country Link
CN (1) CN108089080B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109038822A (en) * 2018-08-06 2018-12-18 东北电力大学 A kind of power distribution network monitoring device based on Internet of Things
CN111697691A (en) * 2020-05-22 2020-09-22 国网河北省电力有限公司石家庄市藁城区供电分公司 Power distribution network planning monitoring system based on cloud computing

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102760255A (en) * 2012-07-19 2012-10-31 福建省电力有限公司福州电业局 Underground power network data management and power network planning system and management method
US8965591B2 (en) * 2012-02-16 2015-02-24 General Electric Company Regenerating electric power distribution switching plans based on changing power distribution network conditions
CN104680340A (en) * 2015-03-30 2015-06-03 国家电网公司 Distribution network planning method and system
CN105162110A (en) * 2015-08-24 2015-12-16 国网天津市电力公司 Configuration method for sectionalizing and interconnection switches of power distribution network
CN105574652A (en) * 2015-12-10 2016-05-11 国网山东省电力公司经济技术研究院 Planning big data management and control system of smart power distribution network and method
CN105894108A (en) * 2016-03-25 2016-08-24 中国南方电网有限责任公司电网技术研究中心 Micro-grid operation planning method and system
CN107066766A (en) * 2017-05-24 2017-08-18 福州大学 A kind of miniature circuit breaker modular design method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8965591B2 (en) * 2012-02-16 2015-02-24 General Electric Company Regenerating electric power distribution switching plans based on changing power distribution network conditions
CN102760255A (en) * 2012-07-19 2012-10-31 福建省电力有限公司福州电业局 Underground power network data management and power network planning system and management method
CN104680340A (en) * 2015-03-30 2015-06-03 国家电网公司 Distribution network planning method and system
CN105162110A (en) * 2015-08-24 2015-12-16 国网天津市电力公司 Configuration method for sectionalizing and interconnection switches of power distribution network
CN105574652A (en) * 2015-12-10 2016-05-11 国网山东省电力公司经济技术研究院 Planning big data management and control system of smart power distribution network and method
CN105894108A (en) * 2016-03-25 2016-08-24 中国南方电网有限责任公司电网技术研究中心 Micro-grid operation planning method and system
CN107066766A (en) * 2017-05-24 2017-08-18 福州大学 A kind of miniature circuit breaker modular design method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
BO QUE 等: "Design and implementation of rapid restoration after large area blackouts on distribution network", 《 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE)》 *
秦奋: "区域电网电压无功运行评估与规划软件研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109038822A (en) * 2018-08-06 2018-12-18 东北电力大学 A kind of power distribution network monitoring device based on Internet of Things
CN111697691A (en) * 2020-05-22 2020-09-22 国网河北省电力有限公司石家庄市藁城区供电分公司 Power distribution network planning monitoring system based on cloud computing
CN111697691B (en) * 2020-05-22 2023-06-27 国网河北省电力有限公司石家庄市藁城区供电分公司 Power distribution network planning monitoring system based on cloud computing

Also Published As

Publication number Publication date
CN108089080B (en) 2020-03-31

Similar Documents

Publication Publication Date Title
Mourtzis et al. A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance
US10922452B2 (en) Digital simulation system of power distribution network
CN108345739B (en) Method for identifying CIME and SVG model file information to realize protection fixed value on-line check function and obtain model
Roche et al. A framework for co-simulation of AI tools with power systems analysis software
CN116316614B (en) Three-dimensional digital twin system of power grid, performance analysis method and related device
Prajapat et al. Real-time discrete event simulation: a framework for an intelligent expert system approach utilising decision trees
CN103164774A (en) Automobile complete vehicle development system based on workflow
CN103164779A (en) Processing method and device of electric power system data
CN108089080A (en) A kind of distribution network planning monitoring system
CN108072858A (en) Electric energy meter method for quality control, system and terminal device
Adamenko et al. Digital twin and product lifecycle management: What is the difference?
CN113852204A (en) Three-dimensional panoramic monitoring system and method for transformer substation with digital twin
Kovács et al. Ambient intelligence in product life-cycle management
Lin et al. Design and development of a digital twin dashboards system under cyber-physical digital twin environment
Cespedes-Cubides et al. A review of building digital twins to improve energy efficiency in the building operational stage
CN116739300A (en) Intelligent visual production resource management system
CN111158827A (en) Method and device for graphic configuration tool correlation calculation value information
CN103281202A (en) System of browser/server architecture and front-end presentation method of system
Ustundag et al. Advances in virtual factory research and applications
Heinzl Methods for hybrid modeling and simulation-based optimization in energy-aware production planning
CN105760956A (en) Method for predicting power grid reliability based on linear-regression analysis
CN111178780A (en) Operation and maintenance strategy setting method and device, storage medium and electronic equipment
CN110647085A (en) Parameter adjusting method and device
CN110955521A (en) Power distribution network wide area distributed type sinking calculation system and method based on big data
CN117407572B (en) Fault information processing method and system for distribution network emergency integrated command

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant