CN102253269A - Integrated processing system for real-time data of electric power based on cloud computing and designing method - Google Patents

Integrated processing system for real-time data of electric power based on cloud computing and designing method Download PDF

Info

Publication number
CN102253269A
CN102253269A CN2011101508262A CN201110150826A CN102253269A CN 102253269 A CN102253269 A CN 102253269A CN 2011101508262 A CN2011101508262 A CN 2011101508262A CN 201110150826 A CN201110150826 A CN 201110150826A CN 102253269 A CN102253269 A CN 102253269A
Authority
CN
China
Prior art keywords
cloud
data
voltage
cloud computing
time data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2011101508262A
Other languages
Chinese (zh)
Inventor
雷宪章
张野飚
吕志来
李响
喻宜
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.)
State Grid Corp of China SGCC
Beijing Xuji Electric Co Ltd
Original Assignee
Beijing Xuji Electric 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 Beijing Xuji Electric Co Ltd filed Critical Beijing Xuji Electric Co Ltd
Priority to CN2011101508262A priority Critical patent/CN102253269A/en
Publication of CN102253269A publication Critical patent/CN102253269A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention relates to an integrated processing system for real-time data of electric power based on cloud computing and a designing method. The computing and processing of tristate data can be completely realized by adopting a set of acquisition equipment and a set of distributed cloud storing, a cloud computing and cloud service mode, and respective computing values can be provided for various different application components so as to greatly reduce the number of configurated acquisition units of intelligent equipment; uniform data processing, computing and sharing are actually realized, a conventional functional device is changed into a functional component, the traffic and nodes on external network are effectively reduced, the communication network structure is optimized, and the network communication pressure is reduced, thereby being favorable for improving the system reliability and reducing the installation cost and maintenance expenses of the system.

Description

Power real-time data integrated processing system and method for designing based on cloud computing
Technical field
The invention belongs to Automation of Electric Systems information acquisition and control field, relate to electric system real-time data acquisition, processing and control system, especially based on the power real-time data integrated processing system and the method for designing of cloud computing.
Background technology
The data acquisition function of conventional electric power system and concrete logic judging function are in conjunction with tight, usually finish by single hardware device, therefore, finishing different functions just needs configuration different equipment or system, and all there are separately independently data acquisition unit in the equipment of these difference in functionalitys or system.Each data acquisition exists that overlapping collection, utilization factor are not high, data and problems such as the information content is inconsistent, time disunity, formed " information island " that, horizontal system many with vertical level mostly is principal character, restricted the further fusion and the application of information, the repeated acquisition of data and information and repetition transmission process certainly will cause the waste of various resources.
In order to realize the conduct monitoring at all levels to the operation of power networks state, various types of aut.eq. are applied to each link of intelligent grid.As gather the supervisory system measurement and control unit of steady state data, the phasor measuring set (PMU) of gathering dynamic data, the protective device of gathering Temporal Data and fault wave recording device etc.But, because the influence of factors such as developing background, design concept, technical merit, operation custom, administrative authority causes data source disunity, hardware repetition, function to intersect.And various types of equipment hardware and software technical merit is uneven, and communication capacity and stipulations are not quite similar, and networking is not respectively mostly at present carried out exchanges data between mutually substantially, and equipment room information is independent, and the equipment component application function is provided with overlapping.
With the transformer station is example, and as shown in Figure 1, instrument is divided into three classes: the protection class, and the observing and controlling class, the metering class, they have the A/D unit of oneself, all directly are connected with TA/TV.There are the following problems:
(1) (TA, TV) by " measurement " repeatedly, the precision of every instrument differs the basis amount, has caused data inconsistent, and is also uneconomical on the cost.
(2) (the different and algorithm difference of using of sample frequency has caused same value (as P) also different in different instrument, data redundancy and confusion for TA, TV) precision difference because measure on the basis of every instrument to collect.
(3) system and equipment, communication difficulties between equipment and the equipment.Although at present a collection of relevant standard has been arranged, this difficulty remains one of bottleneck of system implementation in the reality, also is one of resistance of intelligent grid information sharing, information integration target.
(4) process data disappearance, in the process of sampling, produced a large amount of process datas, these data all are valuable for the crash analysis or the professional expansion in later stage, but what we obtained from instrument all is " secondary data " of N computing of process, " simplification value ".
The problem that this separate configurations, independent calculating, the device of standalone feature bring is that information sharing is poor, the low and hardware and software wasting of resources problem of utilization factor.
For solving above-mentioned problem; especially data are gathered respectively, data are handled respectively and key issues such as calculating, data are difficult to share; be necessary to set up new framework of a cover and mechanism; realize that voltage, the current data of same type equipment once gather, can under the unified software application platform of a cover, realize multiple application functions such as observing and controlling, protection, phasor measurement, metering.
Summary of the invention
The purpose of this invention is to provide a kind of power real-time data integrated processing system and method for designing based on cloud computing; poor with the information sharing that solves the equipment separate configurations, independently calculates, the device of standalone feature brings, utilization factor is low and problem soft, the hardware resource waste; realize that voltage, the current data of same type equipment once gather, and multiple application such as observing and controlling, protection, phasor measurement, metering.
Based on the electric system real time data integrated processing system of cloud computing, comprise connecting successively by Networks of Fiber Communications:
Data sampling equipment: a cover mutual inductor TA/TV collecting unit is installed in the outlet of same type power equipment, is used for the AC sampling of carrying out voltage, current instantaneous value by the full accuracy and the frequency of application component requirement;
Cloud data storage pond: the data storage layer of cloud storage interconnects dissimilar memory devices, realize the unified management of mass data, realize the dynamic expansion of centralized management, condition monitoring and capacity simultaneously with memory device, cloud data storage pond is a kind of service-oriented distributed memory system, and voltage, the current instantaneous value data correspondence of utilizing this system to be used for each collecting unit is uploaded deposit each storage unit in;
Cloud data computation platform: be used for calling cloud data storage pond stored voltage, current instantaneous value and calculate the corresponding demand value according to the professional public estimated performance of electric system respectively;
The cloud service access modules: be provided with the cloud service access interface, be used for the triggering according to application component, the cloud computing service by registering on the fiber optic network acquisition network obtains the corresponding demand value from cloud data computation platform.
Further, the described cloud data storage pond voltage, the current instantaneous value that adopt cloud memory technology store sample to arrive according to time series.
Further, described cloud data storage is provided with corresponding with each collecting unit respectively storage unit in the pond, and collecting unit and storage unit are corresponding one by one by mapping address.
Further, described cloud data computation platform is set up the general calculation module, calculates the requirements of application corresponding assembly, public computing module comprise voltage, current effective value calculate, meritorious, the reactive power effective value calculates and electric weight calculates.
The step of electric system real time data integrated design method that the present invention is based on cloud computing is as follows:
(1) a cover mutual inductor TA/TV collecting unit is installed in the outlet of same type power equipment, and an AC sampling of carrying out voltage, current instantaneous value according to the full accuracy and the frequency of system requirements;
(2) voltage that sampling is obtained, current instantaneous value are uploaded to cloud data storage pond, and the data that upload each collecting unit in this cloud data storage pond adopt cloud memory technology corresponding stored according to time series;
(3) voltage in the cloud data computation platform invoke cloud storage pool, current instantaneous value according to the professional public estimated performance of electric system, are set up the general calculation module respectively, calculate the corresponding demand value;
(4) each application component triggers, and finds Cloud Server by fiber optic network, obtains corresponding demand value or voltage, current instantaneous value by the cloud service access interface from cloud data computation platform.
Further, corresponding stored is meant and is provided with corresponding with each collecting unit respectively storage unit in the cloud data storage pond in the described step (2), and the sampled data that each collecting unit is uploaded is according to corresponding one by one respectively the depositing in the storage unit in cloud data storage pond of mapping address of storage unit.
Further, the general calculation module comprises in the described step (3): the effective value of calculating voltage, electric current, meritorious, idle effective value, electric weight.
Further, described general-purpose computations module can be added flexibly and is provided with.
Power real-time data integrated processing system and method for designing based on cloud computing of the present invention, adopt a cover collecting device, the distributed cloud storage of one cover, it is steady state data (use of supervisory system measurement and control unit) that the mode of cloud computing and cloud service can be completely achieved ternary data, dynamic data (phasor measuring set-PMU uses), the calculating and the processing of Temporal Data (protective device and fault wave recording device use), the calculated value that needs separately is provided for various application component, thereby reduce the configuration quantity of smart machine collecting unit greatly, by the express network communication technology, the real uniform data of realizing is handled, calculate, share, conventional functional device has become the logic function module (functional module) in the unified software platform, effectively reduce flow and number of nodes on the external network, optimize communication network architecture, reduce network service pressure, help improving the reliability of system, the installation cost of reduction system and maintenance cost; Owing to integrated stable state, dynamic, the ternary data of transient state, and obtained full station range information by network collection, thereby unified computed in software platform by the quantity of information scope handling, calculate the back and obtain more extensively and comprehensively, numerous types of data is integrated and real-time analysis makes the better variation of sensory perceptual system environment of whole system, thereby takes the effective strain measure to reduce the influence of substation equipment and the suffered various pathological system situations of electric system as much as possible fast.
Description of drawings
Fig. 1 is existing substation data acquisition principle figure;
Fig. 2 is the systematic schematic diagram of the embodiment of the invention.
Embodiment
Power real-time data integrated processing system based on cloud computing is made up of data sampling layer, data storage layer, data computation layer, data access layer and at a high speed reliable Networks of Fiber Communications five major parts.The supple-settlement system is set up new framework and the realization mechanism of a cover, realize that the instantaneous AC sampling value of equipment voltage, electric current of same type accomplishes once to gather according to high precision, the mode by cover distributed cloud storage, cloud computing and a cloud service provides the calculated value that needs separately for various applying unit.As the measurement and control unit of certain outlet, can obtain the effective value of its outlet voltage, electric current by the direct visit of network in real time, meritorious, idle effective value.
Power real-time data integrated processing system based on cloud computing of the present invention as shown in Figure 2, this soft device is divided into four layers in the specific implementation:
Data sampling layer: be provided with data sampling equipment, sample devices is according to application component function needs in the system, highest frequency and precision that frequency acquisition is set to function and needs are carried out data sampling, for in the electrical network, the same type equipment of low voltage network, adopt the high precision of same set of mutual inductor TA/TV collecting unit realization voltage, electric current multiple spot instantaneous value once to gather, reaching the same type of electrical tolerance of same equipment once gathers, use many places, when reducing cost, have better sampling precision and sample frequency, realize " unification of many harvesters ".Such as, in a former outlet, the harvester that is used for observing and controlling both had been installed, the harvester be used for PMU is installed again, adopting only needs to install a cover after this system and be used to gather voltage, the current instantaneous value of outlet.
Data storage layer: be provided with cloud data storage pond, the cloud memory technology is adopted according to time series in this cloud data storage pond, the voltage, the current instantaneous value data correspondence that are used for each collecting unit is uploaded deposit each storage unit in, and this storage unit is corresponding one by one with each collecting unit by mapping address.
Data computation layer: corresponding to cloud data computation platform, this cloud data computation platform is used for calling cloud data storage pond stored voltage, current instantaneous value respectively according to the professional public estimated performance of electric system, set up the general calculation module, effective value as calculating voltage, electric current, meritorious, idle effective value, electric weight etc., public computing module can add flexibly and be provided with, and calculate the corresponding calculated value.
Data access layer: the cloud service access modules is provided with the cloud service access interface, is used for the triggering according to application component, finds Cloud Server by fiber optic network, can obtain the corresponding calculated value from cloud data computation platform in real time fast.The interface service that data access layer provides comprises voltage, electric current, active power, reactive power effective value cloud service access interface.
More than four layers connect successively by reliable and light switched communication network at a high speed, this communication looped network and power circuit tight association, the fibre circuit of high-speed communication is applied to all intelligent cells along power circuit, for intelligent grid provides powerful high speed information communication port.
The integrated Treatment Design method step of power real-time data based on cloud computing of the present invention is as follows:
(1) a cover mutual inductor TA/TV collecting unit is installed in the outlet of same type power equipment, and an AC sampling of carrying out voltage, current instantaneous value according to the full accuracy and the frequency of system requirements;
(2) voltage that sampling is obtained, current instantaneous value are uploaded to cloud data storage pond, and the data that upload each collecting unit in this cloud data storage pond adopt cloud memory technology corresponding stored according to time series; Corresponding stored is meant and is provided with corresponding with each collecting unit respectively storage unit in the cloud data storage pond herein, and the sampled data that each collecting unit is uploaded is according to corresponding one by one respectively the depositing in the storage unit in cloud data storage pond of mapping address of storage unit;
(3) voltage in the cloud data computation platform invoke cloud storage pool, current instantaneous value according to the professional public estimated performance of electric system, are set up the general calculation module respectively, calculate the corresponding demand value; The general calculation module comprises: the effective value of calculating voltage, electric current, meritorious, idle effective value, electric weight; The general-purpose computations module can be added flexibly and is provided with;
(4) each application component triggers, and finds Cloud Server by fiber optic network, is registered to corresponding cloud computing service, obtains corresponding demand value or voltage, current instantaneous value by the cloud service access interface from cloud data computation platform.
Data acquisition function in the conventional electric power system, computing function and concrete logic judging function are in conjunction with closely, usually finish by single hardware device, therefore, finishing different functions just needs configuration different hardware device or system, and all there are separately independently data acquisition unit in the equipment of these difference in functionalitys or system.The integrated supple-settlement System Design of the electric system real time data based on cloud computing that the present invention proposes is compared with traditional scheme with implementation method, and the key distinction is:
Traditional real-time data acquisition and processing unit are made up of isolated a plurality of systems, and data repeated acquisition and data are incomplete, and observing and controlling, metering, protection, automatic safety device are to realize by different hardware units is local.Its defective is that data acquisition repeats, and data are difficult to share, and the system applies function is difficult to collaborative effectively.The present invention is based on the integrated processing software of the electric system real time data system of cloud computing; observing and controlling; protection; metering; the application function of automatic safety device all is the form of software realization by functional module; thereby reduce the configuration quantity of smart machine collecting unit greatly; by the express network communication technology; the real uniform data of realizing is handled; calculate; share; conventional functional device has become the functional module in the unified software platform; effectively reduce flow and number of nodes on the external network; optimize communication network architecture; reduce network service pressure, help improving the reliability of system; the installation cost of reduction system and maintenance cost.

Claims (9)

1. based on the power real-time data integrated processing system of cloud computing, it is characterized in that, comprise connecting successively by Networks of Fiber Communications:
Data sampling equipment: a cover mutual inductor TA/TV collecting unit is installed in the outlet of same type power equipment, is used for the AC sampling of carrying out voltage, current instantaneous value by the full accuracy and the frequency of application component requirement;
Cloud data storage pond: the data storage layer of cloud storage interconnects dissimilar memory devices, realize the unified management of mass data, realize the dynamic expansion of centralized management, condition monitoring and capacity simultaneously with memory device, cloud data storage pond is a kind of service-oriented distributed memory system, and voltage, the current instantaneous value data correspondence of utilizing this system to be used for each collecting unit is uploaded deposit each storage unit in;
Cloud data computation platform: be used for calling cloud data storage pond stored voltage, current instantaneous value and calculate the corresponding demand value according to the professional public estimated performance of electric system respectively;
The cloud service access modules: be provided with the cloud service access interface, be used for the triggering according to application component, the cloud computing service by registering on the fiber optic network acquisition network obtains the corresponding demand value from cloud data computation platform.
2. the power real-time data integrated processing system based on cloud computing according to claim 1 is characterized in that, voltage, current instantaneous value that described cloud data storage pond adopts cloud memory technology store sample to arrive according to time series.
3. the power real-time data integrated processing system based on cloud computing according to claim 1, it is characterized in that: described cloud data storage is provided with corresponding with each collecting unit respectively storage unit in the pond, and collecting unit and storage unit are corresponding one by one by mapping address.
4. the power real-time data integrated processing system based on cloud computing according to claim 1, it is characterized in that, described cloud data computation platform is set up the general calculation module, calculate the requirements of application corresponding assembly, public computing module comprises that voltage, current effective value calculate, and meritorious, reactive power effective value calculates and electric weight calculates.
5. according to each described power real-time data integrated processing system among the claim 1-4 based on cloud computing, it is characterized in that the cloud service interface that described cloud service access modules provides comprises voltage, electric current, active power, reactive power effective value cloud service access interface.
6. based on the power real-time data integrated design method of cloud computing, it is characterized in that the step of this method is as follows:
(1) a cover mutual inductor TA/TV collecting unit is installed in the outlet of same type power equipment, and an AC sampling of carrying out voltage, current instantaneous value according to the full accuracy and the frequency of system requirements;
(2) voltage that sampling is obtained, current instantaneous value are uploaded to cloud data storage pond, and the data that upload each collecting unit in this cloud data storage pond adopt cloud memory technology corresponding stored according to time series;
(3) voltage in the cloud data computation platform invoke cloud storage pool, current instantaneous value according to the professional public estimated performance of electric system, are set up the general calculation module respectively, calculate the corresponding demand value;
(4) each application component triggers, and finds Cloud Server by fiber optic network, obtains corresponding demand value or voltage, current instantaneous value by the cloud service access interface from cloud data computation platform.
7. the power real-time data integrated design method based on cloud computing according to claim 6, it is characterized in that: corresponding stored is meant and is provided with corresponding with each collecting unit respectively storage unit in the cloud data storage pond in the described step (2), and the sampled data that each collecting unit is uploaded is according to corresponding one by one respectively the depositing in the storage unit in cloud data storage pond of mapping address of storage unit.
8. the power real-time data integrated design method based on cloud computing according to claim 6 is characterized in that, the general calculation module comprises in the described step (3): the effective value of calculating voltage, electric current, meritorious, idle effective value, electric weight.
9. the power real-time data integrated design method based on cloud computing according to claim 8 is characterized in that: described general-purpose computations module can be added flexibly and is provided with.
CN2011101508262A 2011-06-07 2011-06-07 Integrated processing system for real-time data of electric power based on cloud computing and designing method Pending CN102253269A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2011101508262A CN102253269A (en) 2011-06-07 2011-06-07 Integrated processing system for real-time data of electric power based on cloud computing and designing method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2011101508262A CN102253269A (en) 2011-06-07 2011-06-07 Integrated processing system for real-time data of electric power based on cloud computing and designing method

Publications (1)

Publication Number Publication Date
CN102253269A true CN102253269A (en) 2011-11-23

Family

ID=44980641

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2011101508262A Pending CN102253269A (en) 2011-06-07 2011-06-07 Integrated processing system for real-time data of electric power based on cloud computing and designing method

Country Status (1)

Country Link
CN (1) CN102253269A (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103152435A (en) * 2013-03-29 2013-06-12 天津市益佰广通文化传媒发展有限公司 Intelligent information release system
CN103200036A (en) * 2013-04-08 2013-07-10 国电南瑞科技股份有限公司 Automated configuration method of electrical power system cloud computing platform
CN103389713A (en) * 2013-07-23 2013-11-13 国家电网公司 Power cable operation work comprehensive management platform based on cloud service system
CN103412942A (en) * 2013-08-22 2013-11-27 华北电力大学 Voltage dip data analysis method based on cloud computing technology
CN103595140A (en) * 2013-11-27 2014-02-19 昆明理工大学 Power generation, power distribution and intelligent optimization system and method based on cloud technology
CN104597345A (en) * 2015-01-09 2015-05-06 深圳声物互动科技有限公司 Online edition kinetic energy electricity generation measuring system and measuring method thereof
CN105160002A (en) * 2015-09-09 2015-12-16 浙江中控技术股份有限公司 Global indexing method and system
CN113474666A (en) * 2019-02-01 2021-10-01 诺宝公司 Node failure detection and resolution in distributed databases
CN115441585A (en) * 2022-09-19 2022-12-06 德惠市奔兔网络科技有限公司 Power grid electric power information safety monitoring system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101291059A (en) * 2007-08-28 2008-10-22 东南大学 Electricity quality analyzer oriented to digitalized electrical system and electricity quality analysis method
CN101777792A (en) * 2009-12-24 2010-07-14 深圳先进技术研究院 Safety communication system and method of electric network
US20100257227A1 (en) * 2009-04-01 2010-10-07 Honeywell International Inc. Cloud computing as a basis for a process historian
CN102065122A (en) * 2010-11-11 2011-05-18 上海海事大学 Ship network construction method based on radio frequency identification and cloud computing

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101291059A (en) * 2007-08-28 2008-10-22 东南大学 Electricity quality analyzer oriented to digitalized electrical system and electricity quality analysis method
US20100257227A1 (en) * 2009-04-01 2010-10-07 Honeywell International Inc. Cloud computing as a basis for a process historian
CN101777792A (en) * 2009-12-24 2010-07-14 深圳先进技术研究院 Safety communication system and method of electric network
CN102065122A (en) * 2010-11-11 2011-05-18 上海海事大学 Ship network construction method based on radio frequency identification and cloud computing

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘畅等: "建设基于云技术的智能电网高效通信网络探讨", 《电力信息化》, vol. 8, no. 7, 31 July 2010 (2010-07-31) *
潘睿等: "面向智能电网的电力系统云计算", 《四川电力技术》, vol. 32, 31 December 2009 (2009-12-31) *
王德文等: "基于云计算的智能电网信息平台", 《电力系统自动化》, vol. 34, no. 22, 25 November 2010 (2010-11-25) *
赵俊华等: "云计算:构建未来电力系统的核心计算平台", 《电力系统自动化》, vol. 34, no. 15, 10 August 2010 (2010-08-10) *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103152435A (en) * 2013-03-29 2013-06-12 天津市益佰广通文化传媒发展有限公司 Intelligent information release system
CN103200036A (en) * 2013-04-08 2013-07-10 国电南瑞科技股份有限公司 Automated configuration method of electrical power system cloud computing platform
CN103200036B (en) * 2013-04-08 2015-10-14 国电南瑞科技股份有限公司 A kind of automation collocation method of electric power system cloud computing platform
CN103389713B (en) * 2013-07-23 2015-08-19 国家电网公司 Based on the power cable operation work comprehensive management platform of cloud service system
CN103389713A (en) * 2013-07-23 2013-11-13 国家电网公司 Power cable operation work comprehensive management platform based on cloud service system
CN103412942A (en) * 2013-08-22 2013-11-27 华北电力大学 Voltage dip data analysis method based on cloud computing technology
CN103412942B (en) * 2013-08-22 2016-04-20 华北电力大学 A kind of voltage dip data analysing method based on cloud computing technology
CN103595140A (en) * 2013-11-27 2014-02-19 昆明理工大学 Power generation, power distribution and intelligent optimization system and method based on cloud technology
CN104597345A (en) * 2015-01-09 2015-05-06 深圳声物互动科技有限公司 Online edition kinetic energy electricity generation measuring system and measuring method thereof
CN105160002A (en) * 2015-09-09 2015-12-16 浙江中控技术股份有限公司 Global indexing method and system
CN105160002B (en) * 2015-09-09 2019-03-12 浙江中控技术股份有限公司 A kind of method and system of global index
CN113474666A (en) * 2019-02-01 2021-10-01 诺宝公司 Node failure detection and resolution in distributed databases
CN113474666B (en) * 2019-02-01 2023-10-27 诺宝公司 Node fault detection and resolution in distributed databases
US11822441B2 (en) 2019-02-01 2023-11-21 Nuodb, Inc. Node failure detection and resolution in distributed databases
CN115441585A (en) * 2022-09-19 2022-12-06 德惠市奔兔网络科技有限公司 Power grid electric power information safety monitoring system

Similar Documents

Publication Publication Date Title
CN102253269A (en) Integrated processing system for real-time data of electric power based on cloud computing and designing method
CN102722764B (en) Integration network optimization computer-aided decision support System
CN103226890B (en) Method copied by remote centralized meter-reading intelligent electric power utilization system and collection thereof
JP5932668B2 (en) Utility grid command filter system
CN104239059B (en) Intelligence based on full model matches somebody with somebody the construction method of electricity consumption unified information support platform
CN109873499B (en) Intelligent power distribution station management terminal
CN112187518B (en) Intelligent fusion terminal area topology identification method and system
CN110826895B (en) Platform area topology identification method
CN103366312A (en) Intelligent transformer substation cloud system
CN102209074A (en) All-digital dynamic simulation system of power system
CN112305340B (en) True type test platform of low-voltage power distribution Internet of things
CN105354656A (en) Partition decoupling based distributed parallel computing method and system for distribution network state estimation
CN114915546B (en) Power failure user positioning method, device, equipment and medium
CN105048456A (en) Loss-reducing and energy-saving management method and system applied to intelligent metering platform
CN114565779A (en) Low-voltage transformer area household change topology identification method and system
CN110414810A (en) Meter and the multiterminal intelligence Sofe Switch Optimal Configuration Method and system for losing load risk
CN111444664A (en) Power distribution network closed loop current calculation method and system containing multi-branch line
CN205622328U (en) Join in marriage power system fault online intelligent diagnostic system
CN205179101U (en) Measurement service supporting platform system based on distributed computing and big data warehouse
CN113792967A (en) Distributed photovoltaic operation state evaluation method and device and electronic equipment
CN105703708A (en) Photovoltaic power station monitoring system and method
CN101458504B (en) Digital synthesis protection observe and control unit of multipath operation mode
CN116613746A (en) OS 2-based distributed power grid modeling model
CN203261124U (en) User side response system of smart power grid
CN105184676A (en) Power utilization data processing method and apparatus

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
ASS Succession or assignment of patent right

Owner name: STATE GRID CORPORATION OF CHINA

Effective date: 20121107

C41 Transfer of patent application or patent right or utility model
TA01 Transfer of patent application right

Effective date of registration: 20121107

Address after: 100085 Beijing, Haidian District information industry base on the basis of information road, No. 3

Applicant after: Beijing Xuji Electric Co., Ltd.

Applicant after: State Grid Corporation of China

Address before: 100085 Beijing, Haidian District information industry base on the basis of information road, No. 3

Applicant before: Beijing Xuji Electric Co., Ltd.

C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20111123