CN103996099B - Method for conducting intelligent evaluation on student operation in training system - Google Patents

Method for conducting intelligent evaluation on student operation in training system Download PDF

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Publication number
CN103996099B
CN103996099B CN201410222723.6A CN201410222723A CN103996099B CN 103996099 B CN103996099 B CN 103996099B CN 201410222723 A CN201410222723 A CN 201410222723A CN 103996099 B CN103996099 B CN 103996099B
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student
equipment
accident
limit
training
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CN103996099A (en
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王仲达
戴则梅
谢旭
牛四清
高宗和
张哲�
钱江峰
刘健
陆进军
罗亚洲
张剑
刘之滨
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North China Grid Co Ltd
Nari Technology Co Ltd
NARI Nanjing Control System Co Ltd
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North China Grid Co Ltd
Nari Technology Co Ltd
NARI Nanjing Control System Co Ltd
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Abstract

The invention provides a method for conducting intelligent evaluation on a student operation in a training system. The evaluation modes for training students include the running equipment operation evaluation mode, the power grid operation index evaluation mode and the accident pre-arranged planning analysis and evaluation mode. According to the running equipment operation index evaluation mode, whether equipment operated by a student for enabling the system to run meets electrical equipment operation normalization or not and whether the operation of the student is a mistaken operation or not are evaluated. According to the power grid operation index evaluation mode, whether the safety, reliability and economy of power grid operation meet the requiring level set by a teaching plan or not is evaluated. According to the accident pre-arranged planning analysis and evaluation mode, a power grid accident and accident handling mode in the teaching plan are made in advance; after the training is ended, the student physical fault handling mode and the accident pre-arranged planning making handling mode are analyzed and compared, and therefore pre-arranged planning analysis and evaluation for a power grid accident are achieved. The method for conducting intelligent evaluation on the student operation is high in practicability, has quite high flexibility and feasibility, and can effectively improve the evaluation level of the training system.

Description

Student is run in training system operates the method for carrying out intelligent evaluation
Technical field
The present invention relates to Automation of Electric Systems dispatching technique field, and in particular to student's operation is grasped in training system The method for carrying out intelligent evaluation.
Background technology
As user is for the raising of dispatcher training check requirements, merely according to experienced dispatcher to trainee Carrying out examination manually cannot meet current demand, and its reason has:In training process, teacher cannot be right before and after student's operation The change of operation of power networks quality is accurately assert;Student's frequent operation in training process, teacher cannot accomplish real-time tracking And judge in time student operate correctness and reasonability;Teacher cannot within a very short time judge the scheme of student's handling failure It is whether optimal, cannot more provide the exact evaluation of student's handling failure.
In order to solve the above problems, the research and application of Training Simulation System appraisal procedure have been related at present.Its base This thought is out-of-limit situation, dead electricity situation, student's operational circumstances of grid equipment in the experience and training process for combine teacher, Overall assessment is provided to the student that undergoes training in artificial mode.
But, the training to student carries out the premise for examining assessment to be also limited to artificial experience, more cannot integrally examine Student controls the ability of electrical network.
The content of the invention
In order to preferably lift the use value of Training Simulation System, make dispatcher that more fortune are accumulated in training process Pass through and test, the invention provides a kind of run the method that operation carries out intelligent evaluation in training system to student.
It is as follows to reach the technical scheme that above-mentioned purpose adopted:
The method that intelligent evaluation is carried out to student's operation operation in training system, including following three kinds of situations:
A) student's operation operation is estimated:Issue or remote control for investigating student and carrying out instruction for grid equipment During operation, whether the operation of student is maloperation, and investigates whether student's operation meets grid equipment operation working specification Require;
B) operation of power networks index is estimated:For investigating the ability that student controls operation of power networks quality, the electrical network Operating index includes that the economy of the safety indexes, the reliability index of operation of power networks and operation of power networks of operation of power networks refers to Mark;
C) assessment is analyzed to accident prediction:There is major accident or exception in the face of grid equipment for investigating student In the case of, if can be processed due to equipment fault or abnormal caused consequence with most reasonable manner within the time of regulation.
It is aforesaid that a) student's operation operation is estimated, maloperation include on-load broaching tool lock, on-load close disconnecting link, Powered conjunction ground wire.
Aforesaid a) operation the step of operation is estimated to student includes:
(a-1) grid equipment working specification experts database is generated, according to the requirement of grid equipment operations specification, training system time All types, the equipment of all electric pressures gone through in transformer substation system, forms one by one the various types of operation rule of all devices Model, and equipment, action type and corresponding working specification are preserved, generate grid equipment working specification experts database;
(a-2) in training process, the operation information of training system in-service monitoring student requires to divide according to five anti-operations Analyse and judge whether student's operation is maloperation, if it is decided that for maloperation, then automatically generate a mistake for this training Operation note, while training system deducts teaching notes maloperation score value set in advance, the examination for the teaching notes terminates;If sentenced Fixed is not maloperation, proceeds to step (a-3);
(a-3) read corresponding working specification in experts database, analysis judge the operation of student whether with experts database in this set Standby corresponding working specification is consistent, if it is inconsistent, the training record of student's working specification mistake is automatically generated, while button Except the deduction of points value of teaching notes working specification mistake set in advance;
(a-4) fraction of working specification mistake deduction is deducted with teaching notes setting operation class total score, student operation behaviour is obtained Make assessment score value.
Aforesaid grid equipment working specification experts database includes all kinds overhaul of the equipments working specification, all kinds equipment Cold standby working specification, all kinds equipment stand-by heat working specification, all kinds equipment are incorporated into the power networks and working specification and set Standby bypass replacement working specification.
It is aforesaid b) operation of power networks index is estimated including the safety indexes to operation of power networks, operation of power networks can It is estimated by the economic index of property index and operation of power networks,
First, according to the electric pressure of equipment, device type and out-of-limit degree in net, artificial batch defines whole network equipment Safety loading coefficient;According to the distribution situation of network load, artificial batch setting the whole network load type, including a type load, two classes Load and three type loads, and define the coefficient of reliability of different type load;Economic factor is defined according to the requirement of user, And provide the economic examination threshold value of the whole network loss;
Then, the safety indexes of operation of power networks are estimated and are comprised the following steps:
(b-1) each equipment of training system searching loop, reads the trend of each equipment in student training system, bag Include active measurement, idle measurement, voltage measurement and the current measurement of different type equipment;
(b-2) tide of the operation limit value of online each equipment for reading student training system, and the com-parison and analysis equipment Stream and the size of its limit value, if the trend of equipment is more than its limit value, assert that the equipment is out-of-limit, and in training system Increase in database to should equipment out-of-limit record, statistics more limitation and out-of-limit cumulative time, all of out-of-limit record generates Security statistical form;
(b-3) after training terminates, all records of training system security statistical form are read, calculates current safety and deduct Fraction, specific formula for calculation is as follows:
Wherein, RsFor security deduction of points summation, n is the out-of-limit total quantity of equipment, u in training processiGet over for i & lt equipment In limited time, the safety loading coefficient of corresponding out-of-limit equipment, vaciFor i & lt equipment more in limited time, the current measuring value of out-of-limit equipment, vasiFor i & lt equipment more in limited time, the limit value of out-of-limit equipment, tciFor i & lt equipment more in limited time, the equipment out-of-limit duration;
Security examination must be divided into:Safety evaluation item total score-Rs
The reliability index of operation of power networks is estimated and is comprised the following steps:
(b-4) in real time operation of the monitoring student in training process, the topological analysis operation cause the load of power-off and its Size, and the corresponding dead electricity payload of the operation and dead electricity cumulative time are recorded in the database of training system, institute Some records constitute reliability statistics table;
(b-5) after training terminates, all records in reliability statistics table calculate dividing for current reliability deduction Number, specific formula for calculation is as follows:
Wherein, CsFor electric network reliability deduction of points summation, m is the total quantity of student's operation in training process,For i-th The coefficient of reliability of the load point of member's operation, PiFor the dead electricity load value size of i-th student's operation, τiFor i-th student's operation The load dead electricity duration;
Reliability Check must be divided into:Reliability assessment item total score-Cs
The economic index of operation of power networks is estimated and is comprised the following steps:
(b-6) operation of the monitoring student in training process in real time, the change of the whole network network loss value before and after comparative analysis operation Situation, if the network loss value after student's operation deducts economy examination threshold of the preoperative network loss value of student more than teaching notes setting Value, then increase a record to operating in the database of training system, and records the change feelings of network loss before and after operation Condition and network loss threshold crossing time, all of out-of-limit operation note constitutes economy statistical form;
(b-7) after training terminates, all records in economy statistical form calculate dividing for current economic deduction Number, specific formula for calculation is as follows:
Wherein, EsFor economic power system deduction of points summation, k is the out-of-limit total quantity of network loss, Δ in training processiFor i & lt net Damage threshold crossing time, φiFor the economic factor of the out-of-limit electrical network of i & lt network loss, LciFor network loss after the out-of-limit student's operation of i & lt network loss Size, LsiFor network loss size before the out-of-limit student's operation of i & lt network loss;
Economy examination must be divided into:Economic evaluation item total score-Es
It is aforesaid c) assessment to be analyzed to accident prediction and comprise the following steps:
(c-1) accident prediction is made, extracts the whole accident teaching notes in teaching notes, and formulate detailed according to the concrete accident of teaching notes Thin accident prediction, and define the given score of every kind of accident prediction, finally in the way of prediction scheme file with accident teaching notes information Bundle and preserved;
(c-2) in training process, in-service monitoring student is triggered to all in the accident predetermined processing deadline from accident Operation, reads the accident teaching notes at current time, and student's operation is analyzed with accident prediction, and detection is compared at student Whether the mode of director's event meets the one kind in accident prediction, if it is, recording the given score of the accident prediction;If discontented Foot any one accident prediction, then assessing for the accident treatment must be divided into zero;
(c-3) after training terminates, the PTS of accident prediction analysis item is calculated, specific formula for calculation is as follows:
Wherein, SsFor teaching notes accident treatment PTS, p is teaching notes total number of accident, SiI-th accident of teaching notes is processed for student Score.
The present invention is practical, with extremely strong flexibility and feasibility, can effectively improve the appreciable levels of training system.
Description of the drawings
Fig. 1 is student's operation operation estimation flow figure of the present invention;
Fig. 2 is typical 110kV bus arrangements figure;
Fig. 3 is circuit L2 inspection operation first step wiring diagrams in Fig. 2;
Fig. 4 is circuit L2 inspection operation second step wiring diagrams in Fig. 2;
Fig. 5 is the step wiring diagram of circuit L2 inspection operations the 3rd in Fig. 2;
Fig. 6 is the step wiring diagram of circuit L2 inspection operations the 4th in Fig. 2;
Fig. 7 is the estimation flow figure of operation of power networks index of the present invention;
Fig. 8 is accident prediction analysis and evaluation flow chart of the present invention;
Fig. 9 is the partial electric grid line map of a specific embodiment of accident prediction analysis of the present invention;
Figure 10 is the line map that circuit L3 breaks down in Fig. 9;
Figure 11 is the line map of the prediction scheme one taken for the line fault of Figure 10;
Figure 12 is the line map of the prediction scheme two taken for the line fault of Figure 10;
Figure 13 is the line map of the prediction scheme three taken for the line fault of Figure 10.
Specific embodiment
For ease of understanding the present invention, the present invention is further elaborated with reference to the accompanying drawings and detailed description.
Dispatcher training system system (hereinafter referred to as training system) is a set of computer system, and it presses simulated reality The Mathematical Modeling of power system, simulates various scheduling operations and the system condition after failure, and these information are sent to into power train In the model of system control centre, a Training Environment true to nature is provided for dispatcher, neither affect practical power systems to reach Operation and train dispatcher purpose, trained fast under dispatcher's operational capacity and accident condition in normal state Fast respond, it is also possible to make the instrument that dispatching of power netwoks operations staff analyzes operation of power networks.
The invention provides a kind of operation to student in dispatcher training system system operates the side for carrying out intelligent evaluation Method, including following three kinds of situations:
A) student's operation operation is estimated:Issue or remote control for investigating student and carrying out instruction for grid equipment During operation, whether the operation of student is maloperation, and investigates whether student's operation meets grid equipment operation working specification Require;Wherein maloperation includes that on-load broaching tool lock, on-load close disconnecting link, powered conjunction ground wire etc.;
B) operation of power networks index is estimated:For investigating the ability that student controls operation of power networks quality, operation of power networks Index includes the economic index of the safety indexes, the reliability index of operation of power networks and operation of power networks of operation of power networks;
C) assessment is analyzed to accident prediction:There is major accident or exception in the face of grid equipment for investigating student In the case of, if can be processed due to equipment fault or abnormal caused consequence with most reasonable manner within the time of regulation.
Student's operation operation evaluation process, student's operation operation assessment stream are illustrated as an example with the transformer station shown in Fig. 2 Journey is shown in Fig. 1.
Fig. 2 is a typical 110kV transformer station, for the ease of description, 110kV partial wiring diagrams is only drawn here.It is false L2 is powered on alignment road.
Fig. 2 only depicts the equipment such as inlet wire and the switch, the bus that are connected.It is related that system will automatically generate the wiring diagram The working specification of equipment, here, we illustrate the generating process of working specification by taking the maintenance of circuit L2 equipment as an example.
For the maintenance of circuit L2 equipment, according to overhaul of the equipments specification, the switch of circuit measurement should be separated first, then Separate bus end disconnecting link, then separately line side disconnecting link, finally close line-to-ground disconnecting link.Fig. 2 to Fig. 6 shows the plant stand this side line Section operating procedure, plant stand offside equipment operation step is identical with this side plant stand.The maintenance of circuit L2 should be divided into 4 steps, and first Step, separately switchs 102, as shown in Figure 3;Second step, separates bus bar side disconnecting link 102-1, as shown in Figure 4;3rd step, separates circuit Side tool lock 102-2, as shown in Figure 5;4th step, close earthing 102-2-1, as shown in Figure 6.
It is exactly above the concrete steps that overhaul of the equipments operation is illustrated by taking circuit as an example.
To student's operation operation evaluation process as shown in figure 1, in training process, according to grid equipment operations specification will Ask, all types traveled through in transformer substation system, the equipment of all electric pressures are formed one by one all devices each by training system The working specification of type, and equipment, action type and working specification are preserved, generate grid equipment working specification special Family storehouse.Grid equipment working specification experts database includes that all kinds overhaul of the equipments working specification, all kinds equipment cold standby are grasped Make specification, all kinds equipment stand-by heat working specification, all kinds equipment to be incorporated into the power networks the bypass of working specification and equipment For working specification.
In training process, the such as teaching notes content of maintenance operation class, and the time for specifying to complete in teaching notes are read this moment The interior real-time operation content for reading and recording student, requires according to five anti-operations, judges whether student's operation is maloperation, such as It is maloperation that fruit judges, then a maloperation record for this training is automatically generated, while training system will deduct teaching notes The maloperation score value of setting, the examination for the teaching notes terminates;If it is determined that not being maloperation, then the operation of contrast judgement student Whether step is consistent with the corresponding working specification of the equipment in experts database, and student's working specification is automatically generated if inconsistent The training record of mistake, while deducting the deduction of points value of teaching notes working specification mistake set in advance.
Above-mentioned each operation class teaching notes need the analysis and evaluation through above-mentioned steps, finally with teaching notes setting operation class total score The fraction of working specification mistake deduction is deducted, student's operation operation assessment score value is obtained.If teaching notes setting operation class is total It is divided into if 20 points, if student's operation is correct, this must be divided into 20 points of full marks, otherwise this must be divided into 20 and deducts operation The fraction of deduction.
For the assessment of operation of power networks index includes the safety indexes to operation of power networks, the reliability index of operation of power networks And the economic index of operation of power networks is estimated three parts.
Safety loading coefficient, coefficient of reliability and the economic factor of electrical network various kinds of equipment should be first determined first.Security The related equipment of criticality of the coefficient major embodiment equipment in operation of power networks, such as Weak Node in Power Grid or key node is not Permission is out-of-limit, so the safety loading coefficient of this kind equipment is just high, conversely, safety loading coefficient is just low, and according to the voltage of equipment in net Grade, device type and out-of-limit degree, artificial batch defines the safety loading coefficient of whole network equipment;What coefficient of reliability embodied is negative The significance level of lotus, according to the distribution situation of network load, load is generally divided into a type load, two type loads and three classes and bears Lotus a, type load is mostly important, therefore coefficient of reliability is just high, and the significance level of three type loads is relatively minimum, therefore coefficient of reliability It is minimum;Whether the operation of power networks of economic factor major embodiment is the most economical, reasonable, and economic factor is defined simultaneously by the requirement of user Provide the economic examination threshold value that the whole network is lost under the conditions of acceptable.
With reference to shown in Fig. 7, before operation of power networks index evaluation is carried out, first have to manual maintenance and determine electrical network various kinds of equipment Safety loading coefficient, coefficient of reliability, economic factor and economy examination threshold value.
Economic evaluation is relatively easy, in training process, operation of the monitoring student in training process in real time, to score The situation of change of the whole network network loss value before and after analysis operation, if to deduct the preoperative network loss value of student big for the network loss value after student's operation In the economy examination threshold value of teaching notes setting, then increase a record to operating in the database of training system, And the situation of change and network loss threshold crossing time of network loss before and after operation are recorded, all of out-of-limit operation note constitutes economy statistics Table;
After training terminates, all records in economy statistical form calculate the fraction that current economic is deducted, specifically Computing formula is:
Wherein, EsFor economic power system deduction of points summation, k is the out-of-limit total quantity of network loss, Δ in training processiFor i & lt net Damage threshold crossing time, φiFor the economic factor of the out-of-limit electrical network of i & lt network loss, LciFor network loss after the out-of-limit student's operation of i & lt network loss Size, LsiFor network loss size before the out-of-limit student's operation of i & lt network loss;
Assume that economic evaluation item total score is 10 points, then economy examination must be divided into 10-Es
Electric network security is examined it can be seen from Fig. 7, and in training process, training system would cycle through each equipment, Read the trend of each equipment in student training system, including active measurement, idle measurement, the voltage of different type equipment Survey and current measurement;The com-parison and analysis equipment trend runs the size of limit value with it, if equipment trend is more than its limit value, recognizes The fixed equipment is out-of-limit, and increase in the database of training system to should equipment out-of-limit record, statistics more limitation and Out-of-limit cumulative time, all of out-of-limit record generates security statistical form.After training terminates, training system security system is read All records of meter table, carry out security scoring.Its scoring formula is as follows:
Wherein, RsFor security deduction of points summation, n is the out-of-limit total quantity of equipment, u in training processiGet over for i & lt equipment In limited time, the safety loading coefficient of corresponding out-of-limit equipment, vaciFor i & lt equipment more in limited time, the current measuring value of out-of-limit equipment, vasiFor i & lt equipment more in limited time, the limit value of out-of-limit equipment, tciFor i & lt equipment more in limited time, the equipment out-of-limit duration.
Assume that safety evaluation item total score is 10 points, then security examination must be divided into 10-Rs
Electric network reliability is examined it can be seen from Fig. 7, and in training process, training system will in real time monitor each behaviour of student Make, the topological analysis operation causes the load and its size of power-off, and by the corresponding dead electricity payload of the operation and dead electricity Cumulative time is recorded in the database of training system, and all of record constitutes reliability statistics table.After training terminates, according to All records in reliability statistics table, carry out reliability scoring.Its scoring formula is as follows:
Wherein, CsFor electric network reliability deduction of points summation, m is the total quantity of student's operation in training process,For i-th The coefficient of reliability (type load, two type loads, three type loads) of the load point of member's operation, PiFor the mistake of i-th student's operation Electric load value size, τiFor the load dead electricity duration of i-th student's operation.
Assume that reliability assessment item total score is 10 points, then Reliability Check must be divided into 10-Cs
With reference to shown in Fig. 8, the idiographic flow of accident prediction analysis and evaluation is, before training, extracts first complete in teaching notes Portion's accident teaching notes, and detailed accident prediction is formulated according to the concrete accident of teaching notes, and define giving for every kind of accident prediction Point, finally bundled with accident teaching notes information in the way of prediction scheme file and preserved;In training process, read current The accident teaching notes at moment, in-service monitoring student is triggered to all operations in the accident predetermined processing deadline from accident, and with Accident prediction is analyzed, and detection compares the one kind whether mode of student's process accident meets in accident prediction, if It is then to record the given score of the accident prediction;If being unsatisfactory for any one accident prediction, the assessment score of the accident treatment It is zero.
After training terminates, the PTS of accident prediction analysis item is calculated, specific formula for calculation is as follows:
Wherein, SsFor teaching notes accident treatment PTS, p is teaching notes total number of accident, SiI-th accident of teaching notes is processed for student Score.
Fig. 9 to 13 gives the process of accident prediction analysis.According to Fig. 9, partial electric grid altogether include 8 buses, three Individual main transformer power supply point and two little unit water power power supply points, we train teaching notes using circuit L3 failures as one, according to this The failure condition of equipment, formulates corresponding accident treatment prediction scheme.
As shown in Figure 10, after circuit L3 breaks down, switch 5DL, 6DL of L3 both sides tripping operation, cause bus M3 and its The whole load power-off of institute's band.The failure teaching notes mainly examine student handling failure and the energy for restoring electricity within the time of regulation Power.
Prediction scheme one:As shown in figure 11, the first step, separates the switch of 5DL, 6DL both sides, faulty equipment is thoroughly isolated;The Two steps, close a switch 4DL, makes dead electricity bus restore electricity;3rd step, according to the flow situations after operation, analytical calculation main transformer The overload situations of T1, it is assumed that the Overflow RateHT of this scheme T1 is 10%.
Prediction scheme two:As shown in figure 12, the first step, separates the switch of 5DL, 6DL both sides, faulty equipment is thoroughly isolated;The Two steps, close a switch 7DL, makes dead electricity bus restore electricity;3rd step, according to the flow situations after operation, analytical calculation main transformer The overload situations of T2, it is assumed that the Overflow RateHT of this scheme T2 is 5%.
Prediction scheme three:As shown in figure 13, the first step, separates the switch of 5DL, 6DL both sides, faulty equipment is thoroughly isolated;The Two steps, close a switch 4DL and 7DL, makes dead electricity bus restore electricity;3rd step, according to the flow situations after operation, analytical calculation The overload situations of main transformer T1, T2, it is assumed that the equal nonoverload of this scheme T1, T2.
Comparative analysis three of the above troubleshooting prediction scheme, user can be according to the clear and definite accident the most rational of practical operation situation Processing mode, and to every kind of schema definition score value size.In the present embodiment, it is assumed that accident prediction analysis and evaluation phase total score For 40 points, 20 points given of fraction of scheme one, the given fraction of scheme two is 30 points, and the given fraction of scheme three is 40 points.
In training process, according to fault occurrences and the fault handling operation of in-service monitoring student, analysis is compared The actual processing mode of student meets that prediction scheme, and gives student's prediction scheme corresponding score value, if the prediction scheme not met, Then assert that bus M3 does not restore electricity, then this must be divided into 0.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more concrete and detailed, but and Therefore the restriction to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art For, without departing from the inventive concept of the premise, some deformations and improvement can also be made, these belong to the guarantor of the present invention Shield scope.Therefore, the protection domain of patent of the present invention should be defined by claims.

Claims (5)

1. student is run in training system and operate the method for carrying out intelligent evaluation, it is characterised in that including following three kinds of feelings Condition:
A) student's operation operation is estimated:Issue or straighforward operation for investigating student and carrying out instruction for grid equipment When, whether the operation of student is maloperation, and investigates whether student's operation meets the requirement that grid equipment runs working specification;
B) operation of power networks index is estimated:For investigating the ability that student controls operation of power networks quality, the operation of power networks Index includes the economic index of the safety indexes, the reliability index of operation of power networks and operation of power networks of operation of power networks;It is right Operation of power networks index is estimated including to the safety indexes of operation of power networks, the reliability index of operation of power networks and electrical network fortune Capable economic index is estimated,
First, according to the electric pressure of equipment, device type and out-of-limit degree in net, artificial batch defines the safety of whole network equipment Property coefficient;According to the distribution situation of network load, artificial batch setting the whole network load type, including a type load, two type loads And three type loads, and define the coefficient of reliability of different type load;Economic factor is defined according to the requirement of user, and is given Go out the economic examination threshold value of the whole network loss;
Then, the safety indexes of operation of power networks are estimated, are comprised the following steps:
(b-1) each equipment of training system searching loop, reads the trend of each equipment in student training system, including not The active measurement of same type equipment, idle measurement, voltage are measured and current measurement;
(b-2) trend of the operation limit value of online each equipment for reading student training system, and the com-parison and analysis equipment with The size of its limit value, if the trend of equipment is more than its limit value, assert that the equipment is out-of-limit, and in the data of training system Increase in storehouse to should equipment out-of-limit record, statistics more limitation and out-of-limit cumulative time, all of out-of-limit record generates safety Property statistical form;
(b-3) after training terminates, all records of training system security statistical form are read, calculates dividing for current safety deduction Number, specific formula for calculation is as follows:
R s = Σ i = 1 n u i * va c i va s i * t c i
Wherein, RsFor security deduction of points summation, n is the out-of-limit total quantity of equipment, u in training processiFor i & lt equipment more in limited time, The safety loading coefficient of corresponding out-of-limit equipment, vaciFor i & lt equipment more in limited time, the current measuring value of out-of-limit equipment, vasiFor I secondary devices are more prescribed a time limit, the limit value of out-of-limit equipment, tciFor i & lt equipment more in limited time, the equipment out-of-limit duration;
Security examination must be divided into:Safety evaluation item total score-Rs
The reliability index of operation of power networks is estimated, is comprised the following steps:
(b-4) in real time operation of the monitoring student in training process, the topological analysis operation causes the load and its size of power-off, And the corresponding dead electricity payload of the operation and dead electricity cumulative time are recorded in the database of training system, all of note Record constitutes reliability statistics table;
(b-5) after training terminates, all records in reliability statistics table calculate the fraction that current reliability is deducted, tool Body computing formula is as follows:
Wherein, CsFor electric network reliability deduction of points summation, m is the total quantity of student's operation in training process,For i-th student behaviour The coefficient of reliability of the load point of work, PiFor the dead electricity load value size of i-th student's operation, τiFor bearing that i-th student operates The lotus dead electricity duration;
Reliability Check must be divided into:Reliability assessment item total score-Cs
The economic index of operation of power networks is estimated, is comprised the following steps:
(b-6) operation of the monitoring student in training process in real time, the situation of change of the whole network network loss value before and after comparative analysis operation, If the network loss value after student's operation deducts economy examination threshold value of the preoperative network loss value of student more than teaching notes setting, In the database of training system increase a record to operating, and record operation before and after network loss situation of change and Network loss threshold crossing time, all of out-of-limit operation note constitutes economy statistical form;
(b-7) after training terminates, all records in economy statistical form calculate the fraction that current economic is deducted, tool Body computing formula is as follows:
Wherein, EsFor economic power system deduction of points summation, k is the out-of-limit total quantity of network loss, Δ in training processiGet over for i & lt network loss Between in limited time, φiFor the economic factor of the out-of-limit electrical network of i & lt network loss, LciIt is big for network loss after the out-of-limit student's operation of i & lt network loss It is little, LsiFor network loss size before the out-of-limit student's operation of i & lt network loss;
Economy examination must be divided into:Economic evaluation item total score-Es
C) assessment is analyzed to accident prediction:For investigating the feelings that student occurs major accident or exception in the face of grid equipment Under condition, if can be processed due to equipment fault or abnormal caused consequence with most reasonable manner within the time of regulation.
2. it is according to claim 1 to run the method that operation carries out intelligent evaluation, its feature to student in training system It is that described that a) student's operation operation is estimated, maloperation includes that on-load broaching tool lock, on-load close disconnecting link, powered Close ground wire.
3. it is according to claim 1 to run the method that operation carries out intelligent evaluation, its feature to student in training system It is that described a) operation the step of operation is estimated to student includes:
(a-1) grid equipment working specification experts database is generated, according to the requirement of grid equipment operations specification, training system traversal becomes All types, the equipment of all electric pressures in electric power station system, form one by one the various types of working specifications of all devices, and Equipment, action type and corresponding working specification are preserved, grid equipment working specification experts database is generated;
(a-2) in training process, the operation information of training system in-service monitoring student requires analysis simultaneously according to five anti-operations Judge whether student's operation is maloperation, if it is decided that for maloperation, then automatically generate a maloperation for this training Record, while training system deducts teaching notes maloperation score value set in advance, the examination for the teaching notes terminates;If it is determined that no It is maloperation, proceeds to step (a-3);
(a-3) read corresponding working specification in experts database, analysis judge the operation of student whether with the equipment pair in experts database The working specification answered is consistent, if it is inconsistent, the training record of student's working specification mistake is automatically generated, while deducting religion The deduction of points value of case working specification mistake set in advance;
(a-4) fraction of working specification mistake deduction is deducted with teaching notes setting operation class total score, student's operation operation is obtained and is commented Estimate score value.
4. it is according to claim 3 to run the method that operation carries out intelligent evaluation, its feature to student in training system It is that the grid equipment working specification experts database includes all kinds overhaul of the equipments working specification, all kinds equipment cold standby It is incorporated into the power networks working specification and equipment with working specification, all kinds equipment stand-by heat working specification, all kinds equipment Bypass replacement working specification.
5. it is according to claim 1 to run the method that operation carries out intelligent evaluation, its feature to student in training system It is, it is described c) assessment to be analyzed to accident prediction and comprise the following steps:
(c-1) accident prediction is made, extracts the whole accident teaching notes in teaching notes, and formulate detailed according to the concrete accident of teaching notes Accident prediction, and the given score of every kind of accident prediction is defined, finally bundled with accident teaching notes information in the way of prediction scheme file Preserved together;
(c-2) in training process, in-service monitoring student is triggered to all operations in the accident predetermined processing deadline from accident, The accident teaching notes at current time are read, and student's operation is analyzed with accident prediction, detection compares director at student Therefore mode whether meet one kind in accident prediction, if it is, recording the given score of the accident prediction;If being unsatisfactory for appointing Anticipate a kind of accident prediction, then assessing for the accident treatment must be divided into zero;
(c-3) after training terminates, the PTS of accident prediction analysis item is calculated, specific formula for calculation is as follows:
Wherein, SsFor teaching notes accident treatment PTS, p is teaching notes total number of accident, SiObtaining for i-th accident of teaching notes is processed for student Point.
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Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160307467A1 (en) * 2014-10-09 2016-10-20 Johann Pierre Kok A portable electronic test device and a method of using same
CN105513449A (en) * 2015-12-22 2016-04-20 国家电网公司 Comprehensive evaluation method for power grid regulating and controlling integral simulating training system
CN107507098B (en) * 2017-07-07 2020-06-09 积成电子股份有限公司 Power distribution network load transfer training evaluation method based on track array
CN107293174B (en) * 2017-07-07 2019-12-17 积成电子股份有限公司 power distribution network fault judgment training evaluation method based on track array
CN108831228B (en) * 2018-06-01 2021-01-29 王雨杨 DIS-based experimental operation evaluation method and system
CN109523857B (en) * 2018-12-10 2021-09-17 国网河北省电力有限公司培训中心 Method and device for determining to-be-executed operation of transformer substation
CN111369140B (en) * 2020-03-04 2024-02-27 四川宇德中创信息科技有限公司 Teaching evaluation system and method
CN111739373A (en) * 2020-07-09 2020-10-02 国网天津市电力公司 Intelligent evaluation method of regulation and control simulation training system based on regulation and control cloud
CN112216167A (en) * 2020-11-09 2021-01-12 华能国际电力股份有限公司日照电厂 Booster station simulation operation automatic scoring system, method and equipment
CN114421615B (en) * 2021-12-28 2023-11-28 厦门市同耀电器实业有限公司 Control method and system for improving maintenance safety coefficient of distribution box

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102024091A (en) * 2009-09-17 2011-04-20 上海市电力公司超高压输变电公司 Intelligent evaluation system for simulation training in substation based on terminal logics
CN103136975A (en) * 2011-12-02 2013-06-05 北京清大高科系统控制有限公司 Statistic marking method of power grid interconnection training simulation system
CN103378597A (en) * 2012-04-18 2013-10-30 上海博英信息科技有限公司 Inductive regional power grid accident exercise system
CN103617760A (en) * 2013-09-29 2014-03-05 江苏省电力公司 Power distribution network DTS (Dispatcher Training Simulation) simulation system and simulation method thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102024091A (en) * 2009-09-17 2011-04-20 上海市电力公司超高压输变电公司 Intelligent evaluation system for simulation training in substation based on terminal logics
CN103136975A (en) * 2011-12-02 2013-06-05 北京清大高科系统控制有限公司 Statistic marking method of power grid interconnection training simulation system
CN103378597A (en) * 2012-04-18 2013-10-30 上海博英信息科技有限公司 Inductive regional power grid accident exercise system
CN103617760A (en) * 2013-09-29 2014-03-05 江苏省电力公司 Power distribution network DTS (Dispatcher Training Simulation) simulation system and simulation method thereof

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
变电仿真培训系统设计及应用;魏祥禄;《中国优秀硕士学位论文全文数据库(工程科技II辑)》;20140115(第1期);第6-7,11-16,21-23,27-30页 *
变电站故障处理培训指导系统的研究;张巍;《中国优秀硕士学位论文全文数据库(工程科技II辑)》;20091015(第10期);第8-10,19-20,24-28,33-36页 *

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