CN102290811B - Method for evaluating accident prearranged plan and running way - Google Patents
Method for evaluating accident prearranged plan and running way Download PDFInfo
- Publication number
- CN102290811B CN102290811B CN201110228329.XA CN201110228329A CN102290811B CN 102290811 B CN102290811 B CN 102290811B CN 201110228329 A CN201110228329 A CN 201110228329A CN 102290811 B CN102290811 B CN 102290811B
- Authority
- CN
- China
- Prior art keywords
- equipment
- load
- subordinate
- accident
- operational mode
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000009471 action Effects 0.000 claims abstract description 24
- 230000003068 static effect Effects 0.000 claims abstract description 13
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 238000005520 cutting process Methods 0.000 claims description 13
- 238000009826 distribution Methods 0.000 claims description 10
- 238000012423 maintenance Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 7
- 230000008676 import Effects 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000012546 transfer Methods 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000007726 management method Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000013097 stability assessment Methods 0.000 description 2
- 238000002940 Newton-Raphson method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000009429 electrical wiring Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012913 prioritisation Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 238000010937 topological data analysis Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for evaluating an accident prearranged plan and a running way. The method comprises the following steps of: firstly, drawing the graph and topological structure of power grid equipment; secondly, simulating load transfer, current threshold crossing, action condition of a safety automatic device and no-voltage condition of a user after one or more sets of equipment fails by using the topological structure of a power grid and imported remote measured data and by combining with the safety automatic device in the power grid; thirdly, automatically judging whether the running way meets requirements on reliability and static stability of a power supply under the condition that the requirement on double power supplies is met to the maximum extent; and finally, intelligently generating accident prearranged plans corresponding to different examining and repairing ways for appointed equipment. By the method, evaluation on the running way and influence caused by an equipment failure can be automatically formed and useful information is provided for a scheduler to work out the running way and to make an accident handling decision.
Description
Technical field
The present invention relates to a kind of method that accident prediction and operational mode are assessed in the fields such as grid equipment.
Background technology
Stop under labour and special operational mode at electrical network main equipment, scheduling need to be arranged rational operational mode properly according to the mode of connection and load condition etc., and carry out corresponding accident prediction, the impact that may cause while generation for accident and accident treatment are analyzed in advance and are judged.Because existing system is all to lay particular emphasis on real time information, after cannot reflecting that a certain equipment disconnects, the situation of relevant device automatic safety device action, more cannot show the information such as network load transfer, therefore dispatch in the time that the mode of carrying out arranges, all by SCADA(dispatch automated system) or PMS(power transmission and distribution production management system) system manually obtains system topology and machine utilization situation, the loading condition of relevant device after hand computation load shifts, to determine best operational mode.The quality of this operational mode, depends on operational mode personnel's experience and sense of responsibility completely.In the time obtaining machine utilization, scheduling can also, by the Comprehensive Query System of SCADA, generate the form of a series of machine utilization situations according to some condition, but in the time that query device specific is loaded, also needs manually therefrom to search.In the time that visual plant stops using as a servant, scheduling also needs to write accident prediction, and tradition is all manual compiling, and speed is slow, and may have mistakes and omissions.
In addition, the senior application in SCADA dispatching system at present, as PAS system, can be for 220 kilovolts and above equipment, carry out trend calculating and the safety check etc. of interconnected network; But, inapplicable for the terminal grid equipment of 220 kilovolts of following electric pressures, and do not consider because the equipment such as automatic safety device shift the impact causing on trend, fail to have intelligence simultaneously and generate the utility functions such as accident prediction, there is great limitation.
Summary of the invention
The object of this invention is to provide a kind of method that accident prediction and operational mode are assessed, by the function of expansion automated system, existing operational mode is carried out to Scientific evaluation from the aspect such as reliability, security and stability analysis, and the impact that can may cause for equipment fault, the transfer of loading, apparatus overload situation, automatic safety device action situation, coverage and the assessment the intelligence that relate to the aspects such as user generate scheduling accident prediction.
In order to achieve the above object, technical scheme of the present invention is to provide a kind of method that accident prediction and operational mode are assessed, and it comprises:
Step a, according to the equipment operating data and the electric parameters information that import, draw the figure of each electric equipment in network system, and according to the annexation generation system topological structure of figure;
Step b, according to device security automatics action situation and operate time, the action of simulating Safety automatics, and deduce out load shift after the trend distribution situation of system;
Step c, the equipment running status arranging in the figure of drawing according to scheduling, and the system topology providing, assess the operational mode of system equipment from reliability and static stability aspect;
Steps d, for different faults trip device, according to the trend of this equipment providing, information on load, and the electric parameters information that gathers of the other system importing, generate the accident prediction of corresponding different maintenance modes.
In step a, the data message of the required system equipment of graphing and topological structure, is the operational factor of the electric equipment that manually imports of scheduling;
Or, by carrying out interconnectedly in real time with outside dispatch automated system SCADA or power transmission and distribution production management system PMS, obtain the data message of required system equipment; Electric parameters and the running status amount information of equipment are provided by described dispatch automated system SCADA, graphical information and the topology information of system is provided by described power transmission and distribution production management system PMS.
In step b, as follows to the decision logic of equipment state:
Step b1, under system normal operating mode, set device is always in running status; Whether tube apparatus does not have from cutting apparatus, and in the time that operational mode is set in scheduling, setting this equipment is power down mode, is set as faulty equipment in the time that accident prediction generates;
Step b2, set higher level's grid equipment for normal operation, in terminal network, if subordinate equipment not from cutting apparatus, the running status of subordinate equipment is identical with higher level equipment running status, higher level equipment has a power failure, subordinate equipment power failure; Higher level equipment operation, subordinate equipment operation;
Step b3, in terminal network, if be provided with from cutting apparatus, so:
Step b3-1, higher level equipment operation, subordinate equipment operation;
Step b3-2, higher level equipment have a power failure, if subordinate equipment has from cutting apparatus, and tangentially equipment is running status, and the action of autotomying after the time delay of certain hour, adds to tangential equipment by this subordinate equipment institute on-load;
Step b3-3, higher level equipment have a power failure, if subordinate equipment has from cutting apparatus, and tangential equipment power failure, autotomy and be failure to actuate;
Step b4, autotomying action basis on, if be also provided with Union Switch Device, judge the position of this subordinate equipment, and further carry out:
Step b4-1, subordinate equipment at two, three sections of buses, after the time delay of certain hour, are superimposed to the load of these two, three sections of buses on one, four section of bus, make equipment operation;
Step b4-2, subordinate equipment are at one, four section of bus, after the time delay of certain hour, the load of this one, four section of bus is superimposed on two, three sections of buses, then after the time delay of certain hour, two, the load of three sections of buses joins and is switched on one, four section of bus, makes equipment operation;
Step b5, the superior and the subordinate's equipment need to have the time cooperatively interacting when definite value from cutting apparatus, simulate it by program timer and autotomy operate time, it is consistent with the situation of actual act; Scheduling can manually arrange autotomying the time of equipment.
In step c, to the evaluation work of operational mode, further comprise:
Step c1, equipment Reliability Evaluation:
Supply path to all devices in electrical network is retrieved, if any two and above equipment supply path have coincidence, thinks that described two and above equipment, by the electric equipment single power supply of the position that overlaps, do not meet power supply reliability; 220 kilovolts of interbus are set for higher level's power supply point, if the top equipment of distinct device supply path is different 220 kilovolts of interbus, think that equipment meets power supply reliability;
Step c2, the assessment of equipment static stability:
All devices load and load factor in electrical network are retrieved, if arbitrary equipment load factor exceedes 80% and 100%, in heave-load device and overload list of devices, listed respectively; In operational mode arranges, load factor is exceeded to 80% heave-load device and show; In accident prediction assessment,, under abnormal running mode, only list load factor and exceed 100% overload equipment;
If the assessment result of step c3 step c1, c2 does not meet related request, after the operational mode of scheduling adjustment System, repeat above-mentioned steps c1, c2 and again assess, until assessment result meets the requirement of reliability and static stability, complete the setting of operational mode.
In steps d, according to the accident prediction of different maintenance modes, the workflow of carrying out accident prediction generation is:
Steps d 2, for non-full cut-off accident prediction, list load before and after accident and load factor contrast, excision load condition statistics, accident countermeasures, and to moving the processing of classifying of the loading condition of main transformer after accident:
If steps d 2-1 moves main transformer overload, retrieval can be routed up the circuit outside station, goes out side by side the load that circuit can be routed up; Rout up the situation that can cause transformer station of subordinate overload for these circuits, list overload equipment and load factor after routing up, be convenient to scheduling in the time turning over load, determine to rout up the circuit of load according to actual conditions;
If steps d 2-2 operation main transformer does not transship, retrieval causes device name and the load factor of subordinate's substation equipment overload owing to autotomying, and is convenient to scheduling and determines whether to have ready conditions the load of autotomying is away turned back to this operation main transformer.
Compared with prior art, the method that accident prediction and operational mode are assessed of the present invention, its advantage is: the present invention can draw figure and the topological structure of grid equipment, automatically generate the assessment that operational mode and equipment fault are impacted, for the decision-making of establishment operational mode and scheduling accident treatment provides Useful Information: by the telemetry of topological structure of electric and importing, whether automatic decision operational mode meets the requirement of power supply reliability and static stability aspect; On the basis of existing system topology, in conjunction with the automatic safety device in electrical network, simulate that load after a certain or certain several equipment fault shifts, electric current is out-of-limit, automatic safety device action situation, user's dead electricity situation, and in the situation that meeting duplicate supply as far as possible, for load transfer, mode adjustment etc. provide advisory opinion, and the accident prediction of the different maintenance modes of intelligence generation, for scheduling accident treatment provides more succinct, practical and effectively processes means.
Brief description of the drawings
Fig. 1 is the hardware configuration schematic diagram of the method that accident prediction and operational mode are assessed of the present invention;
Fig. 2 is the workflow diagram that in appraisal procedure of the present invention, device action is deduced;
Fig. 3 is the workflow diagram of operational mode assessment in appraisal procedure of the present invention;
Fig. 4 is the workflow diagram that in appraisal procedure of the present invention, accident prediction intelligence generates.
Embodiment
Below in conjunction with brief description of the drawings the specific embodiment of the present invention.
The method that accident prediction and operational mode are assessed of the present invention, can be by the telemetry of topological structure of electric and importing, and whether automatic decision operational mode meets the requirement of power supply reliability and static stability aspect; Can also be according to device security automatics action situation and operate time, the action of simulating Safety automatics, and deduce out load and shift the trend distribution situation of system afterwards; In addition, generate accident prediction for designated equipment intelligence, and can provide than the more information of the accident prediction of manual compiling, as relevant device static stability assessment after load shift direction, load transfer, prioritization etc., accident prediction formation speed is fast, and accuracy is high.
As shown in Figure 1, the hardware that appraisal procedure of the present invention is used, the CS structural configuration of employing client-server, connects by local area network (LAN) a station server and the Duo Tai work station that this evaluating system comprises.Evaluation function by described work station calling data library information, is finally realized in the main memory system data of described server storehouse on the computer that client-side program is installed.Described work station also can obtain the required related data information of assessment from access the SCADA system (dispatch automated system) of described local area network (LAN) or PMS system (power transmission and distribution production management system).
In appraisal procedure of the present invention, establish step a, dispatch by preset electrical wiring figure template, the figure of Fast Drawing and a large amount of grid equipments of generation, and according to drawn figure annexation automatic creation system topological structure.Can carry out the manual importing of external data, or by reserved interface, realization is interconnected in real time with PMS system, SCADA system, and receives its topological structure providing and graphical information.
The importing of described external data, need scheduling manually from dispatch automated system, to derive the operational factor of selected electric equipment, as device name, electric current, voltage, load, time etc., import in evaluating system with EXCEL table, evaluating system should be able to read temporal information automatically, in system, generate discontinuity surface when multiple, choose required time point (as rush hour or low ebb time) for dispatcher when the assessment.For SCADA system, described evaluating system needs to receive various electric parameters and the running status amount of power transformation station equipment, and can realize device parameter in the DF8002 SCADA of Dongfang Electronics system, as the collection of the electric parameters information such as electric current, load, voltage, realize data interconnection.For PMS system, described evaluating system is by reading the CIM file (comprising grid graph information and topology information) of PMS system, automatic creation system topological sum graphical interfaces, and by the remote action data of PMS or the real-time Transmission of the electric parameters information of SCADA, realize data interconnection.
If step b; according to distinct device relaying protection and automatic safety device action situation and operate time; simulate the action of relaying protection and automatic safety device by program timer; when in network system when arbitrary equipment failure removal, just can automatically deduce unit trip and load shift after operational mode and the trend distribution situation of system.
The network of relative 220 kilovolts and above, the variation of trend is be mostly due to a certain equipment disconnect after the trend of multinode network shift, generally calculate by Newton-Raphson method or PQ decomposition method etc.; And the terminal electrical network that regional dispatching is faced, the variation of trend is mainly to cause the transfer of load between distinct device due to automatic safety device action, what mainly carry out is algorithm calculations.
The load of equipment depends primarily on the state of equipment, i.e. operation or power failure two states.And in terminal network, the automatic safety device (be mainly and autotomy and Union Switch Device) that equipment running status is installed with running status and this equipment of higher level's electrical network again and tangential equipment running status are relevant.
Shown in Figure 2, when device action is deduced, as follows to the decision logic of equipment state:
In step b1, in normal operating mode situation, equipment state is running status always; In the time of artificial set device fault, no matter whether this equipment has from cutting apparatus, think that this equipment is power down mode (be equivalent to this equipment to have a power failure, or be made as faulty equipment in the time that accident prediction generates) in the time that operational mode is set in scheduling.
In step b2, set higher level's grid equipment for normal operation, in terminal network, if do not consider to autotomy, the running status of subordinate equipment is identical with higher level equipment running status, and higher level equipment has a power failure, subordinate equipment power failure; Higher level equipment operation, subordinate equipment operation.
Step b3, in terminal network, if consider to autotomy, the running status of subordinate equipment is just not only relevant with the running status of higher level equipment, also whether have with this equipment autotomy (or connection is cut) and tangential equipment running status relevant: now,
Step b3-1, higher level equipment operation, subordinate equipment operation;
Step b3-2, higher level equipment have a power failure, if subordinate equipment is autotomyed, and tangential equipment is running status, and the action of autotomying after the time delay of certain hour, adds to tangential equipment by this equipment institute on-load;
Step b3-3, higher level equipment have a power failure, if subordinate equipment is autotomyed, and tangential equipment has a power failure, and autotomys and is failure to actuate.
In step b4, on the basis of action of autotomying, if also considering to join cuts, judgment device position:
Step b4-1, subordinate equipment at two, three sections of buses, after the time delay of certain hour, are superimposed to the load of these two, three sections of buses on one, four section of bus, make equipment operation;
Step b4-2, subordinate equipment are at one, four section of bus, after the time delay of certain hour, the load of this one, four section of bus is superimposed on two, three sections of buses, then after the time delay of certain hour, two, the load of three sections of buses joins and is switched on one, four section of bus, makes equipment operation.
Step b5, because the superior and the subordinate autotomy and have different time definite values, therefore also there are the different matching problems of autotomying.Evaluating system simulates by program timer the operate time of autotomying, and can match with the actual conditions of automatic safety device action.In addition,, if there is change the time of autotomying, scheduling also can manually arrange equipment and autotomy the time.
If step c, the network system running status arranging in figure according to scheduling, automatic analysis network system topology, assess from aspects such as the reliability of system and the static stabilities of equipment, list all equipment that does not meet duplicate supply, and apparatus of load rate is exceeded to the demonstration of classifying of 80% and 100% equipment, be convenient to scheduling and grasp the weak spot of network system under normal operating mode, and the equipment that does not meet related request also existing under existing normal operating mode, remind scheduling improve in time and adjust.
In the time that system operation mode is not changed in scheduling,, under system normal operating mode, whole network equipment is assessed; In the time of scheduling change system operation mode,, under system overhaul mode or abnormal running mode, the equipment that equipment trend is changed is assessed, make scheduling can be absorbed in system and change the impact that part causes.According to the assessment result of system and adjustment means, after the operational mode of scheduling adjustment System, again carry out system operation mode assessment, until can meet the requirement such as reliability and static stability.
Shown in Figure 3, in step c, specifically following aspect is assessed:
Step c1, equipment power supply reliability: system is retrieved the supply path of all devices in electrical network, if any two and above equipment supply path have coincidence, think that these two and above equipment, by the electric equipment single power supply of the position that overlaps, do not meet power supply reliability.220 kilovolts of interbus of operated by rotary motion are higher level's power supply point, if the top equipment of distinct device supply path is different 220 kilovolts of interbus, think that equipment meets power supply reliability.
Step c2, equipment static stability assessment: system is retrieved all devices load and load factor in electrical network if arbitrary equipment load factor exceedes 80% and 100%, is listed respectively in heave-load device and overload list of devices.Generally, in operational mode arranges, need to be to heavy duty, load factor exceedes 80% equipment and shows, reminds dispatcher to draw attention as the hotspot device under normal operation; But in accident prediction, owing to being non-normal operating mode, only list overload equipment, load factor exceedes 100% electric equipment.
In step c3, if the assessment result of step c1, c2 does not meet related request, scheduling can adjust operation mode after, repeat above-mentioned steps c1, c2 and again assess, until assessment result meets related request, complete the setting of operational mode.
If steps d, according to different faults trip device, based on the trend, information on load or the electric parameters information from SCADA or PMS system Real-time Collection that import this equipment, generates different accident predictions.Cause operational outfit whether to transship for unit trip, can be automatically according to the topological analysis path of routing up or turning back of loading, or path is sent in the station electricity consumption in transformer station's full cut-off situation, consider the technical requirements such as static-stability, generate pointed and accident prediction practicality, and can, according to importing load and different running method, on-the-fly modify accident prediction.
Shown in Figure 4, the accident prediction of different maintenance modes, is generally divided into non-full cut-off and full cut-off accident prediction.Steps d to accident prediction assessment specifically comprises:
Steps d 2, for non-full cut-off accident prediction, evaluating system can be listed load before and after accident and load factor contrast, excision load condition statistics, accident countermeasures etc., and for the loading condition that moves main transformer after the accident processing of classifying.
Steps d 2-1, if operation main transformer overload, system retrieval can be routed up the circuit outside station, go out side by side the load that circuit can be routed up, rout up the situation that can cause transformer station of subordinate overload for these circuits, system also can be listed overload equipment and the load factor after routing up, and is convenient to scheduling and weighs the advantages and disadvantages in the time turning over load, determines to rout up the circuit of load according to actual conditions.
Steps d 2-2, if operation main transformer is not while transshipping, system can retrieve due to the device name and the load factor that cause subordinate's substation equipment to transship after autotomying, is convenient to that dispatching determines whether to have ready conditions turns back this operation main transformer by the load of autotomying away.
In sum, the present invention is by setting up the evaluating system of " dynamically ", automatically generates the assessment that operational mode and equipment fault are impacted, for the decision-making of establishment operational mode and scheduling accident treatment provides Useful Information.On the basis of existing system topology, in conjunction with the automatic safety device in electrical network, simulate that load after a certain or certain several equipment fault shifts, electric current is out-of-limit, automatic safety device action situation, user's dead electricity situation, and in the situation that meeting duplicate supply as far as possible, for load transfer, mode adjustment etc. provide advisory opinion, and the accident prediction of the different maintenance modes of intelligence generation, for scheduling accident treatment provides more succinct, practical and effectively processes means.Meanwhile, this invention interface, modular graphics edition function are convenient to definition and the maintenance of system, are also Beneficials of following intelligent scheduling.
Although content of the present invention has been done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to limitation of the present invention.Read after foregoing those skilled in the art, for multiple amendment of the present invention and substitute will be all apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (5)
1. a method of accident prediction and operational mode being assessed, is characterized in that, comprises:
Step a, according to the equipment operating data and the electric parameters information that import, draw the figure of each electric equipment in network system, and according to the annexation generation system topological structure of figure;
Step b, according to device security automatics action situation and operate time, the action of simulating Safety automatics, and deduce out load shift after the trend distribution situation of system;
Step c, the equipment running status arranging in the figure of drawing according to scheduling, and the system topology generating in step a, assess the operational mode of system equipment from reliability and static stability aspect;
Steps d, for different faults trip device, according to the trend of this equipment providing, information on load, and the electric parameters information that gathers of the other system importing, generate the accident prediction of corresponding different maintenance modes.
2. the method for as claimed in claim 1 accident prediction and operational mode being assessed, is characterized in that,
In step a, the data message of the required system equipment of graphing and topological structure, is the operational factor of the electric equipment that manually imports of scheduling;
Or, by carrying out interconnectedly in real time with outside dispatch automated system SCADA or power transmission and distribution production management system PMS, obtain the data message of required system equipment; Electric parameters and the running status amount information of equipment are provided by described dispatch automated system SCADA, graphical information and the topology information of system is provided by described power transmission and distribution production management system PMS.
3. the method for as claimed in claim 2 accident prediction and operational mode being assessed, is characterized in that,
In step b, as follows to the decision logic of equipment state:
Step b1, under system normal operating mode, set device is always in running status; Whether tube apparatus does not have from cutting apparatus, and in the time that operational mode is set in scheduling, setting this equipment is power down mode, is set as faulty equipment in the time that accident prediction generates;
Step b2, set higher level's grid equipment for normal operation, in terminal network, if subordinate equipment not from cutting apparatus, the running status of subordinate equipment is identical with higher level equipment running status, higher level equipment has a power failure, subordinate equipment power failure; Higher level equipment operation, subordinate equipment operation;
Step b3, in terminal network, if be provided with from cutting apparatus, so:
Step b3-1, higher level equipment operation, subordinate equipment operation;
Step b3-2, higher level equipment have a power failure, if subordinate equipment has from cutting apparatus, and tangentially equipment is running status, and the action of autotomying after the time delay of certain hour, adds to tangential equipment by this subordinate equipment institute on-load;
Step b3-3, higher level equipment have a power failure, if subordinate equipment has from cutting apparatus, and tangential equipment power failure, autotomy and be failure to actuate;
Step b4, autotomying action basis on, if be also provided with Union Switch Device, judge the position of this subordinate equipment, and further carry out:
Step b4-1, subordinate equipment at two, three sections of buses, after the time delay of certain hour, are superimposed to the load of these two, three sections of buses on one, four section of bus, make equipment operation;
Step b4-2, subordinate equipment are at one, four section of bus, after the time delay of certain hour, the load of this one, four section of bus is superimposed on two, three sections of buses, then after the time delay of certain hour, two, the load of three sections of buses joins and is switched on one, four section of bus, makes equipment operation;
Step b5, the superior and the subordinate's equipment need to have the time cooperatively interacting when definite value from cutting apparatus, simulate it by program timer and autotomy operate time, it is consistent with the situation of actual act; Scheduling can manually arrange autotomying the time of equipment.
4. the method for as claimed in claim 3 accident prediction and operational mode being assessed, is characterized in that,
In step c, to the evaluation work of operational mode, further comprise:
Step c1, equipment Reliability Evaluation:
Supply path to all devices in electrical network is retrieved, if any two and above equipment supply path have coincidence, thinks that described two and above equipment, by the electric equipment single power supply of the position that overlaps, do not meet power supply reliability; 220 kilovolts of interbus are set for higher level's power supply point, if the top equipment of distinct device supply path is different 220 kilovolts of interbus, think that equipment meets power supply reliability;
Step c2, the assessment of equipment static stability:
All devices load and load factor in electrical network are retrieved, if arbitrary equipment load factor exceedes 80% and 100%, in heave-load device and overload list of devices, listed respectively; In operational mode arranges, load factor is exceeded to 80% heave-load device and show; In accident prediction assessment,, under abnormal running mode, only list load factor and exceed 100% overload equipment;
If the assessment result of step c3 step c1, c2 does not meet related request, after the operational mode of scheduling adjustment System, repeat above-mentioned steps c1, c2 and again assess, until assessment result meets the requirement of reliability and static stability, complete the setting of operational mode.
5. the method for as claimed in claim 4 accident prediction and operational mode being assessed, is characterized in that,
In steps d, according to the accident prediction of different maintenance modes, the workflow of carrying out accident prediction generation is:
Steps d 1, for full cut-off accident prediction, full cut-off equipment, excision load and the power source path likely sent are added up;
Steps d 2, for non-full cut-off accident prediction, list load before and after accident and load factor contrast, excision load condition statistics, accident countermeasures, and to moving the processing of classifying of the loading condition of main transformer after accident:
If steps d 2-1 moves main transformer overload, retrieval can be routed up the circuit outside station, goes out side by side the load that circuit can be routed up; Rout up the situation that can cause transformer station of subordinate overload for these circuits, list overload equipment and load factor after routing up, be convenient to scheduling in the time turning over load, determine to rout up the circuit of load according to actual conditions;
If steps d 2-2 operation main transformer does not transship, retrieval causes device name and the load factor of subordinate's substation equipment overload owing to autotomying, and is convenient to scheduling and determines whether to have ready conditions the load of autotomying is away turned back to this operation main transformer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110228329.XA CN102290811B (en) | 2011-08-10 | 2011-08-10 | Method for evaluating accident prearranged plan and running way |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110228329.XA CN102290811B (en) | 2011-08-10 | 2011-08-10 | Method for evaluating accident prearranged plan and running way |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102290811A CN102290811A (en) | 2011-12-21 |
| CN102290811B true CN102290811B (en) | 2014-06-25 |
Family
ID=45336994
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110228329.XA Active CN102290811B (en) | 2011-08-10 | 2011-08-10 | Method for evaluating accident prearranged plan and running way |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102290811B (en) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102938106B (en) * | 2012-11-20 | 2016-08-24 | 广东电网公司 | Major network N-1 methods of risk assessment based on grid power blackout plan and system |
| CN103063983B (en) * | 2012-12-13 | 2015-10-28 | 天津市电力公司 | A kind of power distribution network primary secondary system on-line mixing assay method |
| CN103023152B (en) * | 2012-12-21 | 2017-03-15 | 上海市电力公司 | A kind of the autotomy N 1 of cooperation of consideration cut-offs the online computing system of scanning |
| CN105900022A (en) * | 2013-11-27 | 2016-08-24 | 精通人工智能系统有限公司 | Method and system for artificially intelligent model-based control of dynamic processes using probabilistic agents |
| CN103971205B (en) * | 2014-05-16 | 2017-02-01 | 国家电网公司 | Method for acquiring data for automation generation of power grid accident pre-arranged plan |
| CN104298421B (en) * | 2014-06-23 | 2020-11-06 | 国家电网公司 | Power distribution network safety control method based on rapid simulation analysis technology |
| CN104063508A (en) * | 2014-07-09 | 2014-09-24 | 国家电网公司 | Method and system for overload protection in transformer substation self-switching matching process |
| CN105071395B (en) * | 2015-07-29 | 2017-03-15 | 四川大学 | High voltage distribution network load transfer method based on supply path Boolean Search |
| CN105930986A (en) * | 2016-06-05 | 2016-09-07 | 朱明增 | High-voltage power grid overload accident prevention diagnosis processing system and method |
| CN114678866B (en) * | 2022-04-13 | 2024-08-09 | 国网安徽省电力有限公司滁州供电公司 | Power transmission line load transfer control method based on regulation and control cloud |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100466416C (en) * | 2006-03-24 | 2009-03-04 | 上海市电力公司 | Intelligent decision support system for urban power grid accidents |
| CN101179195B (en) * | 2007-11-15 | 2011-04-06 | 上海交通大学 | Power distribution network planning scheme assistant decision system |
| CN101814736B (en) * | 2010-03-31 | 2012-02-01 | 清华大学深圳研究生院 | Smart grid realization method of on-line voltage-stability safety estimation system |
| CN102063651B (en) * | 2010-11-10 | 2014-04-23 | 中国电力科学研究院 | Urban power grid risk evaluation system based on on-line data acquisition |
-
2011
- 2011-08-10 CN CN201110228329.XA patent/CN102290811B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN102290811A (en) | 2011-12-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102290811B (en) | Method for evaluating accident prearranged plan and running way | |
| CN107359617B (en) | Active power distribution network source-network-load coordination control system comprising micro-grid group | |
| CN102193504B (en) | Safety and stability control system modeling method in power system dynamic simulation | |
| CN104156835A (en) | Wide-area distributed integrated topology analysis method for large power grid | |
| CN111049266B (en) | Intelligent second-level power restoration method and system for regulation and control service | |
| CN111026900A (en) | Power distribution network wiring group generation and net rack topological graph generation method and device | |
| CN104835376A (en) | Dispatcher training simulation system with automatic switching device of standby power supply automatic safety device operation simulating function | |
| CN105680466A (en) | Dynamic simulation system applying two-stage DC voltage for hybrid DC power grid | |
| CN104778632A (en) | Intelligent decision making aiding method and system for transfer power supply | |
| CN104835077A (en) | Static safety analysis system with dispatcher accident prediction supporting function | |
| CN104835078A (en) | Power flow determining method in static safety analysis system in view of operation of automatic switching device of standby power supply | |
| CN108092267B (en) | Method for power distribution network access planning system based on intelligent agent | |
| Flueck et al. | Integrating renewable and distributed resources-IIT perfect power smart grid prototype | |
| CN104809659A (en) | Intelligent advanced application system applicable to local dispatching system | |
| Bai et al. | Automatic modeling and optimization for the digital twin of a regional multi-energy system | |
| CN106776750B (en) | Graph-mode integrated digital preplan system for power distribution network | |
| Gao et al. | Concepts, structure and developments of high-reliability cyber-physical fusion based coordinated planning for distribution system | |
| CN104836329A (en) | Local-level dispatch supporting system capable of improving analyzing and processing capability of dispatcher during accident generation | |
| CN111327474B (en) | Power system fault diagnosis method based on topology analysis | |
| CN103545805B (en) | Modeling-based railway power supply arm monitoring method | |
| CN204089191U (en) | Power distribution network multiple target is collaborative from the major clique system that becomes | |
| CN104898460A (en) | Online static safety analysis system suitable for local dispatch system | |
| CN104268328A (en) | Real-time dada based electromagnetic closed loop conductive operation system | |
| CN106651113A (en) | Dispatcher operation risk evaluation method based on advanced N-1 analysis | |
| Xu et al. | Power Management of AC/DC Hybrid Distribution Network With Multi-Port PET Considering Reliability of Power Supply System |
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 ELECTRIC NET CROP. Effective date: 20121101 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20121101 Address after: 200002 Nanjing East Road, Shanghai, No. 181, No. Applicant after: Shanghai Electric Power Corporation Applicant after: State Grid Corporation of China Address before: 200002 Nanjing East Road, Shanghai, No. 181, No. Applicant before: Shanghai Electric Power Corporation |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |