CN103632223A - Regional power grid intelligent scheduling early warning system - Google Patents
Regional power grid intelligent scheduling early warning system Download PDFInfo
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- CN103632223A CN103632223A CN201310608199.1A CN201310608199A CN103632223A CN 103632223 A CN103632223 A CN 103632223A CN 201310608199 A CN201310608199 A CN 201310608199A CN 103632223 A CN103632223 A CN 103632223A
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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- Y02P90/82—Energy audits or management systems therefor
Abstract
The invention discloses a regional power grid intelligent scheduling early warning system, which is characterized in that the scheduling early warning system analyzes various outside information collected by a platform in an integral mode and transits the information to a risk identifying module, after judgment, an accident plan, a pre-control strategy are respectively outputted, rolling early warning is performed, and a risk early warning notice letter is issued. The safety condition of a power grid is analyzed in real time based on a regional power grid intelligent scheduling safety early warning index system, and various visual scheduling safety early warning display means and an assisting decision technology are provided for scheduling operation personnel.
Description
Technical field
The present invention relates to regional power grid scheduling operation field, particularly a kind of area power grid intelligent scheduling early warning system.
Background technology
At present, the electric company of various places all builds the dispatch application systems such as energy management system (SCADA/AGC/AVC/EMS/DTS), electric energy metering system (TMR), water tune automated system, scheduling information management system (OMS), has progressively formed an integrated information applied environment that can meet multiple production management needs.
But said system all can not well meet the demand of regional power grid scheduling early warning, cannot realize based on area power grid intelligent scheduling safe early warning evaluation index.
Along with improving constantly that scheduling safe early warning is required, the demand of regional electric network intelligent scheduling safe early warning assessment indicator system construction is become increasingly conspicuous.Realization is based on area power grid intelligent scheduling safe early warning assessment indicator system, and the assessment power grid security situation of real-time analysis, is the problem that prior art need to solve.
Summary of the invention
Technical matters to be solved by this invention is, a kind of area power grid intelligent scheduling early warning system is provided, realization is based on area power grid intelligent scheduling safe early warning assessment indicator system, the assessment power grid security situation of real-time analysis, for management and running personnel provide various Dispatch Safety early warning way of presentation and auxiliary decision technology such as visual.
For achieving the above object, technical scheme of the present invention is, a kind of area power grid intelligent scheduling early warning system, it is characterized in that: after the integrated mode analysis platform of described scheduling early warning system gathers various external informations, pass to risk identification module, after judging, export respectively accident prediction, pre-control strategy, and the early warning of rolling, issues operation risk early warning advice note.
In described risk identification module, be provided with operation of power networks venture analysis unit, stability and safety analytic unit, electric energy balance analytic unit, operation of power networks analytic unit.
Described integrated mode analysis platform simultaneously collection scheduling automated system, weather information, horizontal robotization, turnaround plan, PAS, Security Checking, stability analysis, EMS, check the relevant information of prediction, operation plan.
Described scheduling early warning system, by dispatching of power netwoks business datum verification rule and electrical network core calculations module, is carried out difference analysis to data, filters and revise suspicious data, improves the quality of data.
Described scheduling early warning system is adjusted SCADA/PMS system acquisition area power grid component models, parameter from ground, real time data after SCADA metric data and state estimation, and SVG figure, by visual demonstration means, highlight paid close attention to electrical network emphasis details and the overall operation information adjusted.
Described scheduling early warning system, for electrical network weak link, is set the forecast failure collection for scanning in advance, and fault comprises N-1, N-2, multiple failure in particular cases.
A kind of area power grid intelligent scheduling early warning system, owing to adopting above-mentioned structure, the present invention realizes based on area power grid intelligent scheduling safe early warning assessment indicator system, the assessment power grid security situation of real-time analysis, for management and running personnel provide various Dispatch Safety early warning way of presentation and auxiliary decision technology such as visual.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation;
Fig. 1 is the structural representation of a kind of area power grid intelligent scheduling of the present invention early warning system;
In Fig. 1,1, integrated mode analysis platform; 2, Risk Identification module; 3, accident prediction; 4, pre-control strategy; 5, rolling early warning; 6 Risk-warning advice notes; 7, operation of power networks venture analysis unit; 8, stability and safety analytic unit; 9, electric energy balance analytic unit; 10, operation of power networks analytic unit; 11, degree automated system; 12, weather information; 13, horizontal robotization; 14, turnaround plan; 15, PAS; 16, Security Checking; 17, stability analysis; 18, EMS; 19, check prediction; 20, operation plan.
Embodiment
Along with improving constantly that scheduling safe early warning is required, the demand of regional electric network intelligent scheduling safe early warning assessment indicator system construction is become increasingly conspicuous.The present invention utilizes Data Integration and the resource sharing of power network dispatching system, realization is based on area power grid intelligent scheduling safe early warning assessment indicator system, the assessment power grid security situation of real-time analysis, for management and running personnel provide various Dispatch Safety early warning way of presentation and auxiliary decision technology such as visual.
Specifically as shown in Figure 1, after gathering various external informations, the integrated mode analysis platform 1 of the present invention passes to risk identification module 2, after judging, export respectively accident prediction 3, pre-control strategy 4, and the early warning 5 of rolling, issue operation risk early warning advice note 6.
In risk identification module 2, be provided with operation of power networks venture analysis unit 7, stability and safety analytic unit 8, electric energy balance analytic unit 9, operation of power networks analytic unit 10.Integrated mode analysis platform 1 simultaneously collection scheduling automated system 11, weather information 12, horizontal robotization 13, turnaround plan 14, PAS15, Security Checking 16, stability analysis 17, EMS18, check the relevant information of prediction 19, operation plan 20.
The present invention, by dispatching of power netwoks business datum verification rule and electrical network core calculations module, carries out difference analysis to data, filters and revise suspicious data, improves the quality of data.For abnormal data, system can be issued and alarm according to the mode presetting, as WEB, note, file etc.Realize the comprehensive judgement based on EMS system and Various types of data such as protection failure information system etc. simultaneously, the integrated informations such as comprehensive analytical test is listed, normal running, AVC operation differentiation, emergency stop valve trip, thus provide aid decision making data supporting for operating personnel.
The present invention realizes electrical network and enriches way of presentation by introducing advanced visualization engine, vivo shows operation of power networks information, comprises that circuit lists, the multidate informations such as emergency stop valve trip region, voltage, Line Flow, line loss.By visualization function module, be interface, take electrical network interaction as core, provide in real time dynamically, the senior visual operation of power networks exhibition method of virtual scene, realize visual, the intelligent decision-making of area power grid.
Concrete, the present invention adjusts SCADA/PMS system acquisition area power grid component models, parameter from ground, real time data after SCADA metric data and state estimation, and SVG figure, highlight by visual demonstration means paid close attention to electrical network emphasis details and the overall operation information adjusted.Important, the high-risk user such as chemical plant, electricity Tie, government department, news unit, track (high ferro) traffic, water factory who has One's name is legion in area power grid, its power supply reliability directly affects the power supply safety of area power grid.Important, high-risk statistical information and qualitative classification that early warning visualization system provides according to regional sales department, in conjunction with the electrical network real-time running state from SCADA/PMS system acquisition, carry out the analysis of rack topology, provide important high-risk client's supply path and power supply reliability, and turn for path.According to each punishment district, electric pressure substation and upper level power supply situation, the reliability level of research transformer station, accomplishes qualitative, quantitative, deciding grade and level.Monitoring the unsteady circuit of figure, transformer flow data, by the element of the mode classification display different loads levels such as post figure, color, dynamic arrow, and heavy duty/overload element is highlighted, to circuit, main transformer, can provide demonstration result directly perceived by transmission capacity.In demonstration, can select to screen demonstration according to load factor height situation.Area power grid load factor level embodies a regional power network development situation, and the load density of area power grid, capacity-load ratio situation are shown by post figure, color etc., and can carry out load factor horizontal analysis to historical daily load data.
The present invention is directed to electrical network weak link, the forecast failure collection of artificial appointment in advance for scanning, fault can comprise N-1, N-2, special circumstances also can arrange multiple failure; Forecast failure is concentrated to the fault not comprising simultaneously, variation for power system operating mode, by technology such as network topology analysis, power supply reliability analysis, element trend case of heavy load and sensitivity analysis, automatically supplement, improve forecast failure collection, add in time artificial prior undefined fault to forecast failure and concentrate, tentatively realize fault collection automatic generation function.For example N-1 cut-offs scanning, and according to forecast failure collection, fixed cycle carries out online electrical network N-1 and cut-offs scanning (consider area power grid BZT device actual disposition at line disconnection, and load transfer and power flow changing after BZT action), carries out static security analysis.For thermally-stabilised in static security category, voltage out-of-limit problem, provide circuit/main transformer and cut-off rear trend, and busbar voltage level, on geographic map/main wiring diagram/plant stand figure according to specific fault provide cut-off after calculation of tidal current; According to trend and the out-of-limit order of severity of voltage levvl, adopt tabular form to sort to cut-offfing fault, and the single failure heavy duty/overload circuit, the main transformer that cause, and the out-of-limit bus title of voltage levvl; To heavy duty/overload main transformer, the out-of-limit bus of voltage levvl after failure on-off, and the plant stand of the power failure causing after fault and element highlight on geographic map/station wiring diagram, for management and running, personnel provide warning function, and prompting management and running personnel pay close attention in time.
The present invention also comprises sensitivity analysis and aid decision making two parts function, wherein sensitivity analysis refers to that for electrical network primary element heavy duty/overload, the circuit of voltage out-of-limit, main transformer be bus, carry out sensitivity analysis, find out the linear relationship between controlled variable and control variable, and relevant control element is sorted, for providing, management and running personnel adjust weight sequence suggestion; Line Flow provides main transformer load sensitivity index, and busbar voltage provides plant stand load, reactive compensation capacity sensitivity index.Aid decision making refers to for having occurred in electrical network or N-1 cut-offs the heavy duty of rear circuit/main transformer, overload, and the out-of-limit situation of voltage levvl, carries out power system operating mode and adjusts aid decision making and calculate, for management and running personnel provide power system operating mode adjustment suggestion.To operating the safety and reliability of rear electrical network, carry out anticipation and assessment, and carry out visual demonstration.
By reference to the accompanying drawings the present invention is exemplarily described above; obviously specific implementation of the present invention is not subject to the restrictions described above; as long as the various improvement that adopted technical solution of the present invention to carry out, or directly apply to other occasion without improvement, all within protection scope of the present invention.
Claims (6)
1. an area power grid intelligent scheduling early warning system, it is characterized in that: the integrated mode analysis platform of described scheduling early warning system (1) passes to risk identification module (2) after gathering various external informations, after judging, export respectively accident prediction (3), pre-control strategy (4), and the early warning of rolling (5), issues operation risk early warning advice note (6).
2. a kind of area power grid intelligent scheduling early warning system according to claim 1, is characterized in that: in described risk identification module (2), be provided with operation of power networks venture analysis unit (7), stability and safety analytic unit (8), electric energy balance analytic unit (9), operation of power networks analytic unit (10).
3. a kind of area power grid intelligent scheduling early warning system according to claim 1, is characterized in that: described integrated mode analysis platform (2) is collection scheduling automated system (11), weather information (12), horizontal robotization (13), turnaround plan (14), PAS(15 simultaneously), Security Checking (16), stability analysis (17), EMS(18), check the relevant information of prediction (19), operation plan (20).
4. a kind of area power grid intelligent scheduling early warning system according to claim 1, it is characterized in that: described scheduling early warning system is by dispatching of power netwoks business datum verification rule and electrical network core calculations module, data are carried out to difference analysis, filter and revise suspicious data, improve the quality of data.
5. a kind of area power grid intelligent scheduling early warning system according to claim 1, it is characterized in that: described scheduling early warning system is adjusted SCADA/PMS system acquisition area power grid component models, parameter from ground, real time data after SCADA metric data and state estimation, and SVG figure, by visual demonstration means, highlight paid close attention to electrical network emphasis details and the overall operation information adjusted.
6. a kind of area power grid intelligent scheduling early warning system according to claim 1, it is characterized in that: described scheduling early warning system is for electrical network weak link, set in advance the forecast failure collection for scanning, fault comprises N-1, N-2, multiple failure in particular cases.
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Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104156825A (en) * | 2014-08-14 | 2014-11-19 | 国网上海市电力公司 | Power system operation risk monitoring interaction platform |
CN104280666A (en) * | 2014-10-29 | 2015-01-14 | 国网上海市电力公司 | Auxiliary load transfer decision system used after medium voltage distribution network line breaks down |
CN104463467A (en) * | 2014-12-09 | 2015-03-25 | 国家电网公司 | Intelligent power grid operating risk analysis and management system |
CN104636990A (en) * | 2015-02-17 | 2015-05-20 | 国家电网公司 | Method of real-time troubleshooting and early warning for shutdown reasons of power grid equipment based on N-1 principle |
CN104914837A (en) * | 2015-05-26 | 2015-09-16 | 国家电网公司 | Intelligent dispatching visualization early warning system |
CN105046344A (en) * | 2015-05-15 | 2015-11-11 | 北京科东电力控制系统有限责任公司 | Primary station data quality optimizing method for intelligent power grid dispatching technical support system |
CN105158610A (en) * | 2015-09-14 | 2015-12-16 | 广西电网有限责任公司电力科学研究院 | Screening processing method of transformer state early warning data suspected value |
CN103942731B (en) * | 2014-04-21 | 2017-02-15 | 国家电网公司 | Power grid anticipated fault set automatic generating method and system |
CN107194549A (en) * | 2017-05-05 | 2017-09-22 | 南京南瑞继保电气有限公司 | The visual presentation method that a kind of energy efficiency indexes are decomposed |
CN107464062A (en) * | 2017-08-09 | 2017-12-12 | 国网山东省电力公司经济技术研究院 | A kind of power network development Evaluation of Diagnosis system |
CN107491866A (en) * | 2017-08-07 | 2017-12-19 | 国网四川省电力公司 | One kind saves ground integrated electricity net safety stable integrated campaign method |
CN107862454A (en) * | 2017-11-01 | 2018-03-30 | 龚土婷 | A kind of efficient power grid risk management system |
CN109214684A (en) * | 2018-09-06 | 2019-01-15 | 国网福建省电力有限公司电力科学研究院 | A kind of distribution line theory wire loss on-line calculation method |
CN112132065A (en) * | 2020-09-25 | 2020-12-25 | 智洋创新科技股份有限公司 | Alarm strategy method based on power transmission line channel visual continuous alarm |
CN113013984A (en) * | 2020-12-28 | 2021-06-22 | 王文林 | Visual early warning method for regional power grid |
CN113346622A (en) * | 2021-06-22 | 2021-09-03 | 国网安徽省电力有限公司芜湖供电公司 | Power grid operation risk intelligent warning system based on big data analysis |
CN113917285A (en) * | 2021-10-21 | 2022-01-11 | 国网山西省电力公司运城供电公司 | Fault intelligent positioning method and system based on power distribution network power flow distribution identification |
CN117057590A (en) * | 2023-10-11 | 2023-11-14 | 国网山东省电力公司博兴县供电公司 | Power grid overhaul management system and method |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101944766A (en) * | 2010-06-01 | 2011-01-12 | 中国电力科学研究院 | Operation and safety monitoring simulation system for power system |
CN102289727A (en) * | 2011-06-24 | 2011-12-21 | 慈溪市供电局 | Comprehensive early-warning control system for grid scheduling |
CN103400302A (en) * | 2013-07-01 | 2013-11-20 | 国家电网公司 | Risk perception and early warning method and system for cascading failures of wind power base |
-
2013
- 2013-11-26 CN CN201310608199.1A patent/CN103632223A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101944766A (en) * | 2010-06-01 | 2011-01-12 | 中国电力科学研究院 | Operation and safety monitoring simulation system for power system |
CN102289727A (en) * | 2011-06-24 | 2011-12-21 | 慈溪市供电局 | Comprehensive early-warning control system for grid scheduling |
CN103400302A (en) * | 2013-07-01 | 2013-11-20 | 国家电网公司 | Risk perception and early warning method and system for cascading failures of wind power base |
Non-Patent Citations (2)
Title |
---|
吉宴平 等: "智能调度综合预警系统在电网调度中的应用", 《机电工程》 * |
章立宗 等: "地区电网实时风险评估和预警模式研究", 《机电工程》 * |
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CN104156825A (en) * | 2014-08-14 | 2014-11-19 | 国网上海市电力公司 | Power system operation risk monitoring interaction platform |
CN104280666A (en) * | 2014-10-29 | 2015-01-14 | 国网上海市电力公司 | Auxiliary load transfer decision system used after medium voltage distribution network line breaks down |
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CN105046344A (en) * | 2015-05-15 | 2015-11-11 | 北京科东电力控制系统有限责任公司 | Primary station data quality optimizing method for intelligent power grid dispatching technical support system |
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CN105158610A (en) * | 2015-09-14 | 2015-12-16 | 广西电网有限责任公司电力科学研究院 | Screening processing method of transformer state early warning data suspected value |
CN107194549A (en) * | 2017-05-05 | 2017-09-22 | 南京南瑞继保电气有限公司 | The visual presentation method that a kind of energy efficiency indexes are decomposed |
CN107491866B (en) * | 2017-08-07 | 2021-11-05 | 国网四川省电力公司 | Provincial and regional integrated power grid safety and stability comprehensive defense method |
CN107491866A (en) * | 2017-08-07 | 2017-12-19 | 国网四川省电力公司 | One kind saves ground integrated electricity net safety stable integrated campaign method |
CN107464062A (en) * | 2017-08-09 | 2017-12-12 | 国网山东省电力公司经济技术研究院 | A kind of power network development Evaluation of Diagnosis system |
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CN112132065B (en) * | 2020-09-25 | 2021-08-20 | 智洋创新科技股份有限公司 | Alarm strategy method based on power transmission line channel visual continuous alarm |
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CN113013984A (en) * | 2020-12-28 | 2021-06-22 | 王文林 | Visual early warning method for regional power grid |
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