CN106600240A - Power grid regulation and control and operation management system of power supply enterprise based on big data lean assistance - Google Patents

Power grid regulation and control and operation management system of power supply enterprise based on big data lean assistance Download PDF

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Publication number
CN106600240A
CN106600240A CN201710020689.8A CN201710020689A CN106600240A CN 106600240 A CN106600240 A CN 106600240A CN 201710020689 A CN201710020689 A CN 201710020689A CN 106600240 A CN106600240 A CN 106600240A
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data
analysis
power grid
power supply
lean
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CN201710020689.8A
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Chinese (zh)
Inventor
傅靖
张乐
倪力信
吴诗豪
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State Grid Corp of China SGCC
Nantong Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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State Grid Corp of China SGCC
Nantong Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Priority to CN201710020689.8A priority Critical patent/CN106600240A/en
Publication of CN106600240A publication Critical patent/CN106600240A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063114Status monitoring or status determination for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0633Workflow analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a power grid regulation and control and operation management system of a power supply enterprise based on big data lean assistance. The system comprises a data warehouse for receiving service metadata. The data warehouse is connected with a data market. The data market is connected with a presentation layer. The working process comprises the following steps in sequence: the service metadata is transmitted to the data warehouse; the data warehouse is transmitted to the data market; and the data market is transmitted to the presentation layer. The system realizes mass data deep value mining, and can help personnel in enterprise decision-making level, management level and execution level to quickly obtain high-value power grid operation and management data information.

Description

Power grid regulation operation management system of the power supply enterprise based on big data lean auxiliary
Technical field
The present invention relates to a kind of power grid regulation operation management system of power supply enterprise based on big data lean auxiliary.
Background technology
In recent years, as country promotes economic restructuring, changes energy consumption structure, accelerates Power Market Construction and electricity Power system reform, the appearance for promoting the series of measures such as new forms of energy fast development, to power grid regulation operation enterprise schema, system skill Art supports the requirement for proposing further innovative change.Extra-high voltage, intelligent grid are fast-developing, and Nantong electrical network is not only increasingly strengthened Greatly, also there is profound change in electric network composition and power supply architecture, and operation of power networks mechanism is presented complexity, and generation of electricity by new energy presents random Property, power balance present it is of overall importance, external action present multiplicity.Meanwhile, power grid regulation running fluidization air flow also there occurs weight Big adjustment, the adjustment of " three collection five are big " system, " big operation " system build up the management function and pipe for causing regulating and controlling mechanism comprehensively Reason category is further expanded, and power transmission and transforming equipment operation is further merged with dispatching of power netwoks operation business, and converting equipment is carried out comprehensive Centralized Monitoring, power transmission and transforming equipment carries out state on_line monitoring analysis comprehensively, and power distribution network is realized regulation and control integration and further expanded Compass of competency, regional dispatching is deeply advanced with monitoring integral fusion, and 95598 rush to repair worksheets, failure is studied and judged and repairing refers to Wave uniform service and include regulation and control business, the compression of management and running level, county-level scheduling is tuned into as branch center, ground tune system with including One carries out ground, county's allocation and transportation industry business integrative operation.Power grid regulation portfolio is increasingly huge, Standardization Construction, homogeneity management Require to improve constantly, the ability controlled regulating and controlling mechanism bulk power grid and optimize the configuration of resources on a large scale is put forward higher requirement.
Power scheduling control centre carries Nantong grid power and adjusts as important functional department of Nantong electric company Degree, operation monitoring, mode plan, relay protection, distribution repairing commander, the management role of dispatch automated system and main website are automatic The operation of change equipment, maintenance work, need periodic analysis to summarize operation of power networks with regulation and control safety in production situation, trace analysis electrical network Operation and management and running index, the production to being related to corporate level carries out population equilibrium and coordination with specialized management work.
With information integration, the maturation application of workflow technology and the fast development of " big data " technology, mass data Collection, process and mining analysis method are widely used, and have broken original dispatching automation, user side acquisition system, life The information island and closed question of each operation systems such as management system, regulation and administration system are produced, is provided greatly for power grid regulation operation The auxiliary management and control of data lean provides technical conditions.The data for carrying out the systems such as dispatching automation, scheduling integrated management are total to Enjoy and Seamless integration- research, the depth for setting up regulation and control operation big data is excavated and analysis means, realizes the deep layer valency of mass data Value is excavated, and can help business decision layer, management level, the operation of power networks of execution level dough figurine person's quick obtaining high value and management number It is believed that breath, common to formulate practice scheme rapidly around business administration target, implement performance result objective evaluation, be power supply enterprise's life Produce management and efficient lean auxiliary management and control means are provided.
Due to the update of power network development and automated information technology, operation of power networks and management enter one before institute not Some magnanimity information epoch, if Nantong electric company regulation and control center periodically must collect for management needs to each specialty, teams and groups Dry report data material, and these report datas are dispersed in respectively in numerous operation systems, such as OMS, SCADA, PMS, risk are pre- Alarm system, coordinate office mailing system, with command system etc. is robbed, application system is more, information content it is huge and disperse.Due to lacking intelligence Energyization, standardized management means, the quality of data for causing repetitive operation amount larger and obtaining is had no idea to ensure, is run and pipe Reason personnel consume substantial amounts of energy and time on data analysis statistical works.There is analysis of material frequency in original management mode Numerous collection, content and report mode are single, needs switch between multiple operation systems and just can sort out data, need to beat in a large number The problems such as printing papery data, historical query cannot be carried out in time.Meanwhile, the regulation and administration scope of business day by day increases with workload, Specialized managements and routine work in a large number feels management by personal, unavoidably occurs some and neglects situations such as omitting, and production is appointed Business plan, enforcement, tracking, inspection, examination process lack effective management tool, lack unified vocational work gathering tube Platform and Row control means, lack the quantization qualitative analysis for regulation and control business and person works' performance scientific analysis auxiliary Administration tool, the efficiency of management is relatively low, it is impossible to meet power grid regulation lean, intelligent management needs.
The content of the invention
It is an object of the invention to provide a kind of deep value for realizing mass data is excavated, business decision can be helped The power supply enterprise of layer, management level, the operation of power networks of execution level dough figurine person's quick obtaining high value and management data message is based on big The power grid regulation operation management system of data lean auxiliary.
The present invention technical solution be:
A kind of power grid regulation operation management system of power supply enterprise based on big data lean auxiliary, is characterized in that:Including reception industry The data warehouse of business metadata, data warehouse is connected with Data Mart, and Data Mart is connected with represent layer;The course of work is wrapped successively Include:Service metadata reaches data warehouse, data warehouse and reaches Data Mart, Data Mart and reaches represent layer.
The step of service metadata reaches data warehouse includes:(1)Regulate and control the mould of data combing collection for magnanimity Type is set to two kinds:One is, using the area's databases of SCADA III, not affect I for the high operation of power networks data analysis of requirement of real-time Sound zone system runs, and by data batch processing, with interim table and middle table, Optimizing Queries SQL statement mass data is realized Personalized collection and Machining Analysis;Two be for do not need the less high related operation of power networks of dynamic acquisition, requirement of real-time, Operational indicator data adopt the text load mode of E language editors;
(2)Using between kettle instruments Service Database and E texts are conducted interviews and extracted, and carried out preliminary clear Wash and change data storage from data warehouse.
The data warehouse reaches Data Mart step to be included:
(1)DW/ODS data are changed and filtered and set by explicit data represents model according to data model by ETL instruments Timed task is put, according to certain frequency in the data pick-up in data warehouse to corresponding data model;
(2)The file needed by being above conducted into is parsed using POI, and corresponding data are imported in corresponding data model Go;
(3)By data inputting interface, corresponding data typing and store in corresponding data model.
The Data Mart reaches represent layer step to be included:Represented using data analysis and show in tool set analysis electrical network fortune Market condition, analysis specialized management emphasis business datum, while building data storage platform, sharing each specialty needs intercommunication inquiry letter Breath;Prompting supervisor's flow process is set up, forced working completes matter effect control.
Partial data index is communicated by manual data typing to backstage, backstage with Data Mart, and backstage is by setting up work Make flow process, clearly supervise and manage mechanism, the task of carrying out is assigned.
Partial service report file imports backstage, and backstage communicates with Data Mart, and backstage consists of clear and definite performance, quantifies Calculate, be operated performance analysis.
The present invention has broken original dispatching automation, user side acquisition system, production management system, regulation and administration system etc. The information island and closed question of each operation system, provides the auxiliary management and control of big data lean and provides skill for power grid regulation operation Art condition.By the data sharing and Seamless integration- research of carrying out the systems such as dispatching automation, scheduling integrated management, set up and adjust The depth of control operation big data is excavated and analysis means, and the deep value for realizing mass data is excavated, and can help business decision Layer, management level, the operation of power networks of execution level dough figurine person's quick obtaining high value and management data message, jointly around business administration Target formulates rapidly practice scheme, implements performance result objective evaluation, and for power supply enterprise's Production&Operations Management efficient essence is provided Benefitization aids in management and control means.
Advantage of the present invention is also resided in:
One is to carry out concentration analysis management for magnanimity regulation and control operation data, and clearly regulation and control operation and enterprise's production and operation management is closed Key data demand is detailed, sets up in large data sets and shows analysis platform, realizes concentration quick search and the analysis of electric network information;Open Send out scheduling morning assembly electric network meeting miscellaneous function;Meanwhile, for distribution accident, monitoring information, equipment power failure, operation of power networks wind The regulation and administration weak spot of five aspects such as danger assessment and automation equipment operation carries out auxiliary operating analysis, builds big data point Analysis platform, carries out information deep layer and excavates and decision support.
Two is to be associated analysis and process management and control, comprehensive combing INDEX MANAGEMENT train of thought, analysis for higher management index End factor, clearly refinement decompose support index system, formulate tracking control of full process control strategy, and by setting up display platform, The trace analysis modes of warning of stratification is set up to index system, helps find existing problems in time, implement control measure.
Three is to set up task scheduling flow process, work of commencing business centralized management, analysis regulation and control operation year-round operation emphasis, is built The incidence relation of monthly work and annual task is found, the effective tracking to major tasks and process management and control is realized.Meanwhile, set up work Make flow of task and assign, perform and feedback mechanism, realize time and the quality control of task.
Four is combing specialized service data, carries out achivement quantitative analysis.With operation of power networks and regulation and administration business Data message, to each professional teams and groups' performance data scientific statistics are carried out, be the analysis of each professional posts service bearer amount, personnel it is excellent Change the reliable aid decision of configuration provides.
Five is perfecting system check requirements, promotes auxiliary management and control carrying out measures.By specifying a series of evaluation method and pipe Reason flow process, specifies the application of big data result and check requirements, process control is carried out to core business, so as to finally realize persistently changing Enter the target that quantity of operation is integrally lifted.
With reference to the accompanying drawings and examples the invention will be further described.
Fig. 1 is the workflow schematic diagram of one embodiment of the invention.
Specific embodiment
A kind of power grid regulation operation management system of power supply enterprise based on big data lean auxiliary, including receive business unit number According to data warehouse, data warehouse is connected with Data Mart, and Data Mart is connected with represent layer;The course of work includes successively:Industry Business metadata reaches data warehouse, data warehouse and reaches Data Mart, Data Mart and reaches represent layer.
The step of service metadata reaches data warehouse includes:(1)Regulate and control the mould of data combing collection for magnanimity Type is set to two kinds:One is, using the area's databases of SCADA III, not affect I for the high operation of power networks data analysis of requirement of real-time Sound zone system runs, and by data batch processing, with interim table and middle table, Optimizing Queries SQL statement mass data is realized Personalized collection and Machining Analysis;Two be for do not need the less high related operation of power networks of dynamic acquisition, requirement of real-time, Operational indicator data adopt the text load mode of E language editors;
(2)Using between kettle instruments Service Database and E texts are conducted interviews and extracted, and carried out preliminary clear Wash and change data storage from data warehouse.
The data warehouse reaches Data Mart step to be included:
(1)DW/ODS data are changed and filtered and set by explicit data represents model according to data model by ETL instruments Timed task is put, according to certain frequency in the data pick-up in data warehouse to corresponding data model;
(2)The file needed by being above conducted into is parsed using POI, and corresponding data are imported in corresponding data model Go;
(3)By data inputting interface, corresponding data typing and store in corresponding data model.
The Data Mart reaches represent layer step to be included:Represented using data analysis and show in tool set analysis electrical network fortune Market condition, analysis specialized management emphasis business datum, while building data storage platform, sharing each specialty needs intercommunication inquiry letter Breath;Prompting supervisor's flow process is set up, forced working completes matter effect control.
Partial data index is communicated by manual data typing to backstage, backstage with Data Mart, and backstage is by setting up work Make flow process, clearly supervise and manage mechanism, the task of carrying out is assigned.
Partial service report file imports backstage, and backstage communicates with Data Mart, and backstage consists of clear and definite performance, quantifies Calculate, be operated performance analysis.

Claims (6)

1. a kind of power grid regulation operation management system of power supply enterprise based on big data lean auxiliary, is characterized in that:Including reception The data warehouse of service metadata, data warehouse is connected with Data Mart, and Data Mart is connected with represent layer;The course of work is successively Including:Service metadata reaches data warehouse, data warehouse and reaches Data Mart, Data Mart and reaches represent layer.
2. the power grid regulation operation management system that power supply enterprise according to claim 1 is aided in based on big data lean, its It is characterized in that:The step of service metadata reaches data warehouse includes:(1)Regulate and control the model of data combing collection for magnanimity It is set to two kinds:One is, using the area's databases of SCADA III, not affect Ith area for the high operation of power networks data analysis of requirement of real-time System operation, by data batch processing, with interim table and middle table, Optimizing Queries SQL statement mass data is realized Personalization collection and Machining Analysis;Two is for not needing dynamic acquisition, requirement of real-time less high related operation of power networks, industry Business achievement data adopts the text load mode of E language editors;
(2)Using between kettle instruments Service Database and E texts are conducted interviews and extracted, and carried out preliminary clear Wash and change data storage from data warehouse.
3. the power grid regulation operation management system that power supply enterprise according to claim 1 is aided in based on big data lean, its It is characterized in that:The data warehouse reaches Data Mart step to be included:
(1)DW/ODS data are changed and filtered and set by explicit data represents model according to data model by ETL instruments Timed task is put, according to certain frequency in the data pick-up in data warehouse to corresponding data model;
(2)The file needed by being above conducted into is parsed using POI, and corresponding data are imported in corresponding data model Go;
(3)By data inputting interface, corresponding data typing and store in corresponding data model.
4. the power grid regulation operation management system that power supply enterprise according to claim 1 is aided in based on big data lean, its It is characterized in that:The Data Mart reaches represent layer step to be included:Represented using data analysis and show in tool set analysis electrical network fortune Market condition, analysis specialized management emphasis business datum, while building data storage platform, sharing each specialty needs intercommunication inquiry letter Breath;Prompting supervisor's flow process is set up, forced working completes matter effect control.
5. the power grid regulation operation management system that power supply enterprise according to claim 1 is aided in based on big data lean, its It is characterized in that:Partial data index is communicated by manual data typing to backstage, backstage with Data Mart, and backstage is by setting up work Flow process, clearly supervises and manage mechanism, and the task of carrying out is assigned.
6. the power grid regulation operation management system that power supply enterprise according to claim 1 is aided in based on big data lean, its It is characterized in that:Partial service report file imports backstage, and backstage communicates with Data Mart, and backstage consists of clear and definite performance, quantifies Calculate, be operated performance analysis.
CN201710020689.8A 2017-01-12 2017-01-12 Power grid regulation and control and operation management system of power supply enterprise based on big data lean assistance Pending CN106600240A (en)

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Cited By (7)

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CN107844901A (en) * 2017-11-01 2018-03-27 前海梧桐(深圳)数据有限公司 A kind of method and its system of enterprise operation automated analysis
CN108040128A (en) * 2018-01-12 2018-05-15 国网福建省电力有限公司 It is a kind of to realize that file data uploads synchronous method automatically based on kettle
CN108964273A (en) * 2018-07-14 2018-12-07 国网江西省电力有限公司赣西供电分公司 A kind of distribution weak link monitor supervision platform based on big data
CN109669983A (en) * 2018-12-27 2019-04-23 杭州火树科技有限公司 Visualize multi-data source ETL tool
CN112069153A (en) * 2020-09-10 2020-12-11 国网甘肃省电力公司信息通信公司 DAMA system-based power grid enterprise data management method
CN112529447A (en) * 2020-12-18 2021-03-19 国网辽宁省电力有限公司 Integrated data integration analysis research method for power grid service
CN112632025A (en) * 2020-08-25 2021-04-09 南方电网科学研究院有限责任公司 Power grid enterprise management decision support application system based on PAAS platform

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107844901A (en) * 2017-11-01 2018-03-27 前海梧桐(深圳)数据有限公司 A kind of method and its system of enterprise operation automated analysis
CN108040128A (en) * 2018-01-12 2018-05-15 国网福建省电力有限公司 It is a kind of to realize that file data uploads synchronous method automatically based on kettle
CN108964273A (en) * 2018-07-14 2018-12-07 国网江西省电力有限公司赣西供电分公司 A kind of distribution weak link monitor supervision platform based on big data
CN109669983A (en) * 2018-12-27 2019-04-23 杭州火树科技有限公司 Visualize multi-data source ETL tool
CN112632025A (en) * 2020-08-25 2021-04-09 南方电网科学研究院有限责任公司 Power grid enterprise management decision support application system based on PAAS platform
CN112069153A (en) * 2020-09-10 2020-12-11 国网甘肃省电力公司信息通信公司 DAMA system-based power grid enterprise data management method
CN112529447A (en) * 2020-12-18 2021-03-19 国网辽宁省电力有限公司 Integrated data integration analysis research method for power grid service

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