CN105204489B - Meter and protection control the online preventive control Application of risk decision method of cost with peace certainly - Google Patents
Meter and protection control the online preventive control Application of risk decision method of cost with peace certainly Download PDFInfo
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- CN105204489B CN105204489B CN201510424625.5A CN201510424625A CN105204489B CN 105204489 B CN105204489 B CN 105204489B CN 201510424625 A CN201510424625 A CN 201510424625A CN 105204489 B CN105204489 B CN 105204489B
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- G05B23/00—Testing or monitoring of control systems or parts thereof
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- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
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Abstract
Count and protect with peace from the online preventive control Application of risk decision method for controlling cost the invention discloses a kind of, belong to electric power system dispatching and run control technology field.The present invention is using being preferentially directed to because of protection device that forecast failure directly triggers and peace is counted from the big forecast failure of the value of risk caused by device action and protection device, pacify and calculated from the stable prevention and control Optimized Measures of safety on line of device action behavior, until the cost of prevention and control reaches the calculative strategy of minimum with protection device and peace from the value of risk sum of device control, overcome the difficulty that management and running personnel are weighed between calculating speed and computational accuracy when setting forecast failure collection, the order that management and running personnel only need the probability occurred according to forecast failure descending sets forecast failure as much as possible, it is obtained with effectively reducing the online preventive control Optimized Measures of power network actual motion risk.
Description
Technical field
The invention belongs to electric power system dispatching to run control technology field, and more precisely, the present invention relates to one kind to be applicable
In the online prevention of the unified risk control Least-cost for considering each road defence line of electricity net safety stable including equipment protection
Control Study on Decision-making Method for Optimization.
Background technology
With the expansion of power network scale, a wide range of transmission of electricity scale and intermittence new energy power generation grid-connection scale, the fortune of power network
Row characteristic becomes increasingly complex, and is completely dependent on off-line analysis and arranges the management and running control model of the method for operation to meet power network
The requirement of safety and stability economical operation.In recent years, on-line security and stability analysis has been increasingly becoming scheduling fortune with decision-making function
The important means of row control, the forecast failure collection that the stable prevention and control Optimal Decision-making of existing safety on line is defendd are scheduling fortune
Administrative staff is set by rule of thumb or probability of happening is more than the forecast failure composition of setting value (such as probability of N-1 failures generation)
Set.
Power networks risk refers to the power networks risk sum caused by each failure for being likely to occur, because single
Power networks risk caused by failure refers to failure loss caused after occurring and the product of the fault rate, its
In, losing including the loss caused by the action of the protection device of primary fault, because of primary fault and failure caused by failure
Non- primary fault after loss caused by peace from device action caused by dynamic process and failure caused by dynamic process afterwards
Loss caused by protection device action.In order to reduce power networks risk, then need to compare before and after Control Measure implemented
The change of power networks risk, according to the decrement of power networks risk and the implementation cost the difference between the two of Control Measure come
Assess the optimization performance of Control Measure.
The number of defects being likely to occur in theory is infinity, therefore, is directly likely to occur by calculating
Power networks risk caused by each failure, it is infeasible, it is necessary to carry to assess the optimization performance of Control Measure
Go out a kind of calculative strategy, need not both carry out calculating analysis to the failure being likely to occur, and can enough ensures what is be calculated
Control Measure can reduce power networks risk, and have relatively good optimization performance.It is existing by rule of thumb or according to general
Rate threshold value sets the processing mode of forecast failure collection, very strong human factor be present, it is impossible to weighs calculating speed and calculates essence
Contradiction between degree.The safety and stability online preventive control Optimal Decision-making technology that in addition, there will be is generally only by prevention and control cost
Minimum is used as optimization aim, not using protection device and pacifies control cost and prevention and control cost sum from device as risk
Control targe.As for existing prevention and control and emergent control coordination optimizing method, although it is contemplated that prevention and control cost and
The control cost of two security perimeters, but without meter and protection device and the control cost of the 3rd security perimeter, equally also only
Management and running personnel fault set set in advance can be handled, when the number of defects is bigger in fault set, calculating speed can not expire
The requirement of sufficient on-line operation.
The content of the invention
The present invention seeks to：For deficiency of the prior art, there is provided a kind of electricity net safety stable based on risk is online
Prevention and control Study on Decision-making Method for Optimization, the contradiction weighed between calculating speed and computational accuracy can not only be avoided, reduce anticipation event
Barrier collection sets the degree of dependence to dispatching operations staff, and can by protection device and peace from the value of risk of device action and
The minimum target as power networks risk control of prevention and control cost sum.
The general principle of the present invention is：As forecast failure concentrates the increase of the number of defects, if not considering prevention and control,
Then because protection device and peace will increase from the loss cost of device action；As forecast failure concentrates the increase of the number of defects, if
Keep protection device and peace constant from the loss cost of device action, then the adjustment cost of prevention and control will increase.Normal conditions
Under, if by the failure that forecast failure is concentrated as it caused by protection device that forecast failure directly triggers and peace are from device action
The descending sequence of value of risk, when forecast failure concentrates the number of defects smaller, under conditions of prevention and control are not considered
Protection device and peace are being kept from device action because protection device and peace are more than from the increased speed of value of risk of device action
Value of risk it is constant under conditions of prevention and control the increased speed of adjustment cost；The number of defects is concentrated to compare in forecast failure
When big, because protection device and peace are less than from the increased speed of value of risk of device action under conditions of prevention and control are not considered
Keeping the increased speed of adjustment cost of protection device and peace from the prevention and control under conditions of constant of the loss cost of device action
Degree.Therefore, according to it is preferential counted for the preceding forecast failure that sorts and protection device, peace from device running status and its
Action model and the stable prevention and control Optimized Measures calculating of the safety on line of parameter, until prevention and control cost and meter and anticipation event
Hinder the protection device of probability of happening and peace reaches the calculative strategy of minimum from the value of risk sum of device action, then can not only
The contradiction weighed between calculating speed and computational accuracy is enough avoided, reduces dependence of the forecast failure collection setting to scheduling operations staff
Degree, and the online preventive control Optimized Measures for effectively reducing power network actual motion risk can be obtained.
Specifically, the present invention is realized using following technical scheme, is comprised the following steps：
1) based on the current running status of power network and device model and parameter, generation reflection power network current operating conditions, use
In electricity net safety stable on-line analysis flow data and stablize data, in conjunction with power network information of forecasting and plan information, generation
Prevention and control candidate's measure collection, respectively as the operation of power networks section tidal current data being newly generated, stable data and prevention and control
Candidate's measure collection, and t is designated as at the time of by corresponding to operation of power networks section0, into step 2)；
The prevention and control candidate measure collection refers to that optional prevention and control equipment and its control become under the current method of operation
The set of amount, control direction and controlled amounts maximum；
2) probability that forecast failure occurs is more than threshold value p set in advancecrThe set of forecast failure be designated as envisioning
Fault set F0, into step 3)；
The forecast failure refers to power network in t0To (t0+Δtf) period in may occur one or more equipment faults
Combination；
The probability that the forecast failure occurs refers to power network in t0To (t0+Δtf) period in the forecast failure occur
Number；
Wherein, Δ tfDuration is defendd for the prevention and control of setting；
3) based on the operation of power networks section tidal current data that are newly generated and data are stablized, using cluster Computing Platform, respectively
For F0In each forecast failure, meter and protection device and peace pass through formula from the running status and its model and parameter of device
(1) protection device directly triggered by forecast failure is calculated with peace from the value of risk caused by device action, into step
4)；
Lrc.i=(Lr.i+Lc.i)pf.iI=1,2 ..., n (1)
In formula, n F0The number of middle forecast failure, Lr.iIt is right in the operation of power networks section tidal current data being newly generated
F under the operation of power networks state answered0In i-th forecast failure occur after because the protection device action that forecast failure directly triggers is led
The loss cost of cause, Lc.iFor the F under the operation of power networks state corresponding to the operation of power networks section tidal current data being newly generated0In
The peace that i-th forecast failure is directly triggered by forecast failure after occurring is from the loss cost caused by device action, pf.iFor F0In
The probability that i-th of forecast failure occurs, Lrc.iFor in the power network fortune corresponding to the operation of power networks section tidal current data being newly generated
F under row state0In i-th forecast failure occur after the protection device that directly triggers by forecast failure and peace led from device action
The value of risk of cause；
4) according to the descending order of the probability of forecast failure generation to F0In all forecast failures be ranked up, obtain
To forecast failure sequencing table, wherein for probability of happening identical forecast failure then according to the anticipation event being calculated in step 3)
The descending order of the value of risk of barrier determines the order between these probability of happening identical forecast failures, into step
5)；
5) online preventive control Optimized Measures collection C is setpFor empty set, forecast failure sequence pointer i is setsFor 0, meter is set
Calculate mark IcFor 0, into step 6)；
The online preventive control Optimized Measures collection refers to prevention and control equipment and its control selected under the current method of operation
The set of variable processed, control direction and final controlled quentity controlled variable；
If 6) current time t and t0Difference be less than setting prevention and control Optimal Decision-making duration limit Δ tc, into step
7), otherwise, by CpManagement and running personnel are submitted to as final online preventive control Optimized Measures collection, terminate this method；
Wherein, Δ tcLess than Δ tf；
If 7) isLess than n, then the sequence according to forecast failure in forecast failure sequencing table, will sort from (is+ 1) position is opened
Begin until min { is+max[int(kpnp), 1], n] position altogether { min { is+max[int(kpnp),1],n]}-isIndividual anticipation
The set of failure is designated as Fc, and by isIt is set to min { is+max[int(kpnp), 1], n], into step 8), otherwise, by CpAs
Final online preventive control Optimized Measures collection submits to management and running personnel, terminates this method；
Wherein, npTo own in the cluster Computing Platform that is calculated for electricity net safety stable online preventive control Optimal Decision-making
CPU total check figure, kpFor the parameter for being less than 1 of setting；
8) based on the operation of power networks section tidal current data that are newly generated and data are stablized, using cluster Computing Platform, respectively
For FcIn each forecast failure, calculate the loss cost L caused by the action of protection device that forecast failure directly triggersr,
And count and protection device and peace are from the running status and its model and parameter of device, carry out the electricity net safety stable under forecast failure
Time-domain-simulation calculates, and calculates the loss cost L caused by forecast failure occursf, into step 9)；
If 9) FcMiddle LfMore than LrForecast failure number be 0, then return to step 6)；Otherwise, by FcMiddle LfMore than LrAnticipation
The set of failure is designated as Fp0, by FcIn remove Fp0The set of forecast failure outside middle forecast failure is designated as Fs0, pass through formula (2)
Calculate Fp0In each forecast failure occur after caused by value of risk summation SLfp0, and set up set Fp, by FpIt is initial
Value is arranged to Fp0, by FpIn each forecast failure occur after caused by value of risk summation SLfpInitial value be arranged to
SLfp0, into step 10)：
In formula, mp0For Fp0The sum of middle forecast failure, Lfp0.kFor the F being calculated in step 8)p0In k-th anticipation therefore
Barrier loss cost caused after occurring, pfp0.kFor Fp0In the probability that occurs of k-th forecast failure；
10) by Fs0With FpUnion be designated as Fs, using cluster Computing Platform, based on the flow data being newly generated, stably
Data and prevention and control candidate's measure collection, meter and FsIn each forecast failure LfWith LrEqual constraints respectively, carry out electricity
The Optimal Decision-making of net safety and stability Control Measure calculates；If it is met FsIn each forecast failure safety and stability
Prevention and control Optimized Measures increment collection Δ Cp, then into step 12), otherwise calculation flag I is setcFor 1, into step 11)；
The prevention and control Optimized Measures increment collection refers to selected prevention and control equipment and its control variable, control direction
With the set of controlled quentity controlled variable increment；
If 11) FpThe total m of middle forecast failurepMore than the forecast failure number and SL of settingfpWith SLfp0Ratio be more than set
Definite value λ, then sequence of the forecast failure in forecast failure sequencing table is pressed first, from FpIt is middle to reject the posterior int (m that sortp/ 2) it is individual
Forecast failure, the F after being updatedpAnd mp, then SL calculated by formula (3)fp, return to step 10)；Otherwise by CpAs most
Whole online preventive control Optimized Measures collection submits to management and running personnel, terminates this method：
In formula, Lfp.jFor the F being calculated in step 8)pIn j-th forecast failure occur after caused by loss cost,
pfp.jFor FpIn the probability that occurs of j-th forecast failure；
12) based on the operation of power networks section tidal current data being newly generated, with reference to the fortune of protection device under the current method of operation
Row state and its model and parameter, F is calculated by formula (4)0In each forecast failure occur after because forecast failure directly touches
Value of risk summation SL caused by the protection device action of hairr；F is calculated by formula (5)pIn each forecast failure occur
Afterwards except directly triggered by forecast failure protection device action caused by value of risk in addition to caused by value of risk it is total
And SLfrp, into step 13)；
In formula, Lr.iFor the F under the operation of power networks state corresponding to the operation of power networks section tidal current data being newly generated0In
Loss cost after i-th of forecast failure generation caused by the protection device action that forecast failure directly triggers, pf.iFor F0In
The probability that i-th of forecast failure occurs；Lfp.jFor the F being calculated in step 8)pIn j-th forecast failure occur after caused by
Loss cost, Lrp.jFor the F being calculated in step 8)pIn j-th forecast failure occur after directly triggered because of forecast failure
Loss cost caused by protection device action, pfp.jFor FpIn the probability that occurs of j-th forecast failure；
13) in the operation of power networks section tidal current data that are newly generated and on the basis of stablizing data, Δ C is implemented in generationpIt
Rear flow data and stablize data, for updating the operation of power networks section tidal current data being newly generated and stablizing data, enter
Step 14)；
14) based on the operation of power networks section tidal current data being newly generated, with reference to the fortune of protection device under the current method of operation
Row state and its model and parameter, the operation of power networks section tidal current being newly generated that step 13) obtains is calculated by formula (6)
F under operation of power networks state corresponding to data0In each forecast failure occur after the protection device that directly triggers by forecast failure
Value of risk summation SL' caused by actionr, into step 15)；
In formula, L'r.iPower network corresponding to the operation of power networks section tidal current data being newly generated that are obtained in step 13)
F under running status0In i-th forecast failure occur after loss caused by the protection device action that forecast failure directly triggers
Cost, pf.iFor F0In the probability that occurs of i-th forecast failure；
15) calculate and implement C under the current method of operation of power networkpWith Δ CpThe adjustment cost paid in step 14) with calculating
Obtained SL'rBoth sums, and if should only implement C less than or equal under the current method of operation of power networkpThe adjustment cost paid
The SL being calculated with step 12)rAnd SLfrpThree's sum, then into step 16), otherwise, return to step 11)；
16) according to Δ CpIn select each Control Measure respectively to CpAfter being handled as follows, into step 17)：
If Δ CpIn select Control Measure prevention and control equipment and its control variable in CpIn it is existing, then will
The C related to the prevention and control equipment and its control variable of the selected Control MeasurepIn final controlled quentity controlled variable and Δ CpIn
Controlled quentity controlled variable increment sum be used for update CpIn final controlled quentity controlled variable, otherwise, by the pre- prevention and control of the selected Control Measure
Control equipment and its control variable, control direction and controlled quentity controlled variable increment respectively as newly-increased prevention and control Optimized Measures pre- prevention and control
Control equipment and its control variable, control direction and final controlled quentity controlled variable are added to CpIn；
If 17) IcFor 0, into step 18), otherwise, by CpSubmitted to as final online preventive control Optimized Measures collection
Management and running personnel, terminate this method；
18) according to Δ CpIn each Control Measure prevention and control candidate's measure collection to being newly generated respectively for selecting
After being handled as follows, return to step 6)：
The first step, if Δ CpIn select Control Measure prevention and control equipment and its control variable be selected first
, then concentrate and reject and the prevention and control equipment of the Control Measure and its control from the prevention and control candidate measure being newly generated
Candidate's measure that variable processed is identical but control direction is different；
Second step, concentrate and search and Δ C from the prevention and control candidate measure being newly generatedpIn select prevention and control arrange
The prevention and control equipment applied and its control variable identical candidate's measure, if the controlled amounts maximum of candidate's measure and Δ CpIn
The controlled quentity controlled variable increment of selected Control Measure is equal, then is concentrated from the prevention and control candidate measure being newly generated and reject the time
Measure is selected, otherwise, using controlled amounts maximum and the Δ C of candidate's measurepIn select Control Measure controlled quentity controlled variable increase
Measure the controlled amounts maximum that the difference of the two updates candidate's measure.
Above-mentioned technical proposal is further characterized by, the threshold value p in the step 2)crTake《Power system security is steady
Determine directive/guide》/ 10th of what middle second security perimeter was defendd the minimum value of faulty middle probability of happening.
Above-mentioned technical proposal is further characterized by, the Δ t in the step 2)fIt is arranged to 15 minutes.
Above-mentioned technical proposal is further characterized by, the Δ t in the step 6)cIt is arranged to 5 minutes.
Above-mentioned technical proposal is further characterized by, the k in the step 7)pIt is arranged to 0.9.
Above-mentioned technical proposal is further characterized by, and the forecast failure number in the step 11) is the odd number more than 1.
Above-mentioned technical proposal is further characterized by, and the forecast failure number in the step 11) is arranged to 5.
Above-mentioned technical proposal is further characterized by, and the setting value λ in the step 11) is arranged to 0.2.
Beneficial effects of the present invention are as follows：The present invention is by using the preferential protection dress for being directed to and directly being triggered by forecast failure
Put and pacify the big forecast failure of the value of risk from caused by device action counted and protection device, peace from device running status and
Its action model and the stable prevention and control Optimized Measures of the safety on line of parameter calculate, until searching prevention and control cost and meter
And the protection device and peace of forecast failure probability of happening reach the calculative strategy of minimum from the value of risk sum of device action.
It is increased because of forecast failure increase directly to be triggered by forecast failure compared with the amount of calculation of the stable time-domain-simulation of once safety
Protection device and peace the value of risk amount of calculation from caused by device action can be neglected.Therefore, the present invention can overcome scheduling to transport
The difficulty that administrative staff is weighed between calculating speed and computational accuracy when setting forecast failure collection, management and running personnel only need root
Forecast failure as much as possible is set according to the descending order of the probability of forecast failure generation, it is possible to it is electric to obtain effectively reduction
The online preventive control Optimized Measures of net actual motion risk.
Brief description of the drawings
Fig. 1 is the flow chart of the inventive method step 1- steps 9.
Fig. 2 is the flow chart of the inventive method step 10- steps 18.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings.
Step 1 is described based on the current running status of power network and device model and parameter, generation reflection power network in Fig. 1
Current operating conditions, the flow data for electricity net safety stable on-line analysis and stable data, in conjunction with power network information of forecasting
And plan information, prevention and control candidate's measure collection is generated, respectively as the operation of power networks section tidal current data being newly generated, stably
Data and prevention and control candidate's measure collection, and t is designated as at the time of by corresponding to operation of power networks section0, into step 2；
The prevention and control candidate measure collection refers to that optional prevention and control equipment and its control become under the current method of operation
The set of amount, control direction and controlled amounts maximum.
Step 2 describes the probability that forecast failure occurs being more than threshold value p in Fig. 1cr(generally desirable power industry mark
It is accurate《Guiding rules of power system safety and stability》What middle second security perimeter was defendd the minimum value of faulty middle probability of happening
1/10th) set of forecast failure is designated as forecast failure collection F0, into step 3；
The forecast failure refers to power network in t0To (t0+Δtf) period in may occur one or more equipment faults
Combination；
The probability that the forecast failure occurs refers to power network in t0To (t0+Δtf) period in the forecast failure occur
Number；
Wherein, Δ tfDuration (being usually arranged as 15 minutes) is defendd for the prevention and control of setting.
Step 3 describes based on the operation of power networks section tidal current data being newly generated and stablizes data in Fig. 1, using collection
Group's calculating platform, respectively for F0In each forecast failure, meter and protection device and peace from the running status and its model of device
And parameter, the protection device directly triggered by forecast failure and peace are calculated from the wind caused by device action by formula (1)
Dangerous cost, into step 4；
Lrc.i=(Lr.i+Lc.i)pf.iI=1,2 ..., n (1)
In formula, n F0The number of middle forecast failure, Lr.iIt is right in the operation of power networks section tidal current data being newly generated
F under the operation of power networks state answered0In i-th forecast failure occur after because the protection device action that forecast failure directly triggers is led
The loss cost of cause, Lc.iFor the F under the operation of power networks state corresponding to the operation of power networks section tidal current data being newly generated0In
The peace that i-th forecast failure is directly triggered by forecast failure after occurring is from the loss cost caused by device action, pf.iFor F0In
The probability that i-th of forecast failure occurs, Lrc.iFor in the power network fortune corresponding to the operation of power networks section tidal current data being newly generated
F under row state0In i-th forecast failure occur after the protection device that directly triggers by forecast failure and peace led from device action
The value of risk of cause；
Loss cost caused by the protection device action directly triggered by forecast failure refer to defend the anticipation therefore
Loss cost of the protection device of each equipment fault caused by the direct trigger action of equipment fault in barrier, such as forecast failure
In have 3 equipment faults, then the loss cost caused by the action of protection device that the forecast failure directly triggers refers to defend
Total losses cost caused by the protection device action of this 3 equipment faults；
The peace directly triggered by forecast failure refer to defend the anticipation from the loss cost caused by device action therefore
Loss cost of the peace of each equipment fault combination from device caused by direct trigger action is combined in equipment fault in barrier, such as
Have 3 equipment faults in forecast failure, pacify the combined fault that two of which equipment fault is only defendd from device, then because of the anticipation therefore
Hinder the peace that the loss cost caused by the peace from device action directly triggered refers to the combined fault for defending the two equipment faults
From the total losses cost caused by device action, wherein not including defending caused by the protection device action of this 3 equipment faults
Total losses cost；
If containing equipment malfunction failure in forecast failure, the loss cost caused by equipment malfunction is accumulated to because being somebody's turn to do
In the loss cost caused by protection device action that forecast failure directly triggers；
It should be added that the calculating of loss cost is based on operation of power networks state above, it is not necessary to is envisioned
Time-domain-simulation under failure calculates.
Step 4 is described according to the descending order of the probability of forecast failure generation to F in Fig. 10In it is all pre-
Think that failure is ranked up, obtain forecast failure sequencing table, wherein for probability of happening identical forecast failure then according to step 3)
In the descending order of the value of risk of forecast failure that is calculated determine these probability of happening identical forecast failures it
Between order, into step 5.
What step 5 described in Fig. 1 is provided in line prevention and control Optimized Measures collection CpFor empty set, forecast failure is set to sort
Pointer isFor 0, calculation flag I is setcFor 0, into step 6；
The online preventive control Optimized Measures collection refers to prevention and control equipment and its control selected under the current method of operation
The set of variable processed, control direction and final controlled quentity controlled variable.
If step 6 describes current time t and t in Fig. 10Difference be less than setting prevention and control Optimal Decision-making duration limit
It is worth Δ tc, into step 7, otherwise, by CpManagement and running personnel are submitted to as final online preventive control Optimized Measures collection,
Terminate this method；
Wherein, Δ tcLess than Δ tf, it is usually arranged as 5 minutes.
If step 7 describes i in Fig. 1sLess than n, then the sequence according to forecast failure in forecast failure sequencing table, will be arranged
Sequence is from (is+ 1) position starts until min { is+max[int(kpnp), 1], n] position altogether { min { is+max[int(kpnp),
1],n]}-isThe set of individual forecast failure is designated as Fc, and by isIt is set to min { is+max[int(kpnp), 1], n], into step
8, otherwise, by CpManagement and running personnel are submitted to as final online preventive control Optimized Measures collection, terminate this method；
Wherein, npTo own in the cluster Computing Platform that is calculated for electricity net safety stable online preventive control Optimal Decision-making
CPU total check figure, kpFor the parameter (being usually arranged as 0.9) for being less than 1 of setting.
Step 8 describes based on the operation of power networks section tidal current data being newly generated and stablizes data in Fig. 1, using collection
Group's calculating platform, respectively for FcIn each forecast failure, calculate the protection device directly triggered by forecast failure and act institute
Caused loss cost Lr, and meter and protection device and peace carry out anticipation event from the running status and its model and parameter of device
Electricity net safety stable time-domain-simulation under barrier calculates, and calculates the loss cost L caused by forecast failure occursf, into step
Rapid 9.
It should be added that LrCalculating be based on operation of power networks state, it is not necessary to carry out under forecast failure when
Domain simulation calculation, LfCalculating be calculated based on the time-domain-simulation under forecast failure, not only include defending the forecast failure
Protection device and peace are successive from the loss cost caused by device action, in addition in the dynamic process triggered by the forecast failure
The protection device of action and peace are from the loss cost caused by device.
If step 9 describes F in Fig. 1cMiddle LfMore than LrForecast failure number be 0, then return to step 6；Otherwise, by Fc
Middle LfMore than LrThe set of forecast failure be designated as Fp0, by FcIn remove Fp0The set of forecast failure outside middle forecast failure is designated as
Fs0, F is calculated by formula (2)p0In each forecast failure occur after caused by value of risk summation SLfp0, and set up collection
Close Fp, by FpInitial value be arranged to Fp0, by FpIn each forecast failure occur after caused by value of risk summation SLfp's
Initial value is arranged to SLfp0, into step 10：
In formula, mp0For Fp0The sum of middle forecast failure, Lfp0.kFor the F being calculated in step 8p0In k-th of forecast failure
Loss cost caused by after generation, pfp0.kFor Fp0In the probability that occurs of k-th forecast failure.
Step 10 is described F in Fig. 2s0With FpUnion be designated as Fs, using cluster Computing Platform, based on being newly generated
Flow data, stable data and prevention and control candidate's measure collection, meter and FsIn each forecast failure LfWith LrIt is equal respectively
Constraints, the Optimal Decision-making for carrying out electricity net safety stable Control Measure calculate；If it is met FsIn it is each pre-
Think the stable prevention and control Optimized Measures increment collection Δ C of failure safep, then into step 12, otherwise calculation flag I is setcFor 1,
Into step 11；
The prevention and control Optimized Measures increment collection refers to selected prevention and control equipment and its control variable, control direction
With the set of controlled quentity controlled variable increment.
If step 11 describes F in Fig. 2pThe total m of middle forecast failurepForecast failure number more than setting (is more than 1
5) and SL odd number, it is usually arranged asfpWith SLfp0Ratio be more than setting value λ (being usually arranged as 0.2), then press forecast failure first
Sequence in forecast failure sequencing table, from FpIt is middle to reject the posterior int (m that sortp/ 2) individual forecast failure, after being updated
FpAnd mp, then SL calculated by formula (3)fp, return to step 10, otherwise, by CpArranged as final online preventive control optimization
Apply collection and submit to management and running personnel, terminate this method：
In formula, Lfp.jFor the F being calculated in step 8pIn j-th forecast failure occur after caused by loss cost,
pfp.jFor FpIn the probability that occurs of j-th forecast failure.
Step 12 is described based on the operation of power networks section tidal current data being newly generated in Fig. 2, with reference to current operation side
The running status of protection device and its model and parameter under formula, F is calculated by formula (4)0In after each forecast failure occurs
Value of risk summation SL caused by the protection device action that forecast failure directly triggersr；F is calculated by formula (5)pIn
Each forecast failure occur after in addition to the value of risk caused by the protection device action directly triggered by forecast failure institute
Caused value of risk summation SLfrp, into step 13；
In formula, Lr.iFor the F under the operation of power networks state corresponding to the operation of power networks section tidal current data being newly generated0In
Loss cost after i-th of forecast failure generation caused by the protection device action that forecast failure directly triggers, pf.iFor F0In
The probability that i-th of forecast failure occurs；Lfp.jFor the F being calculated in step 8pIn j-th forecast failure occur after caused by
Lose cost, Lrp.jFor the F being calculated in step 8pIn j-th forecast failure occur after the guarantor that directly triggers by forecast failure
Loss cost caused by protection unit action, pfp.jFor FpIn the probability that occurs of j-th forecast failure.
Step 13 is described in the operation of power networks section tidal current data being newly generated and the basis for stablizing data in Fig. 2
On, Δ C is implemented in generationpFlow data afterwards and stablize data, for updating the operation of power networks section tidal current number being newly generated
According to stablize data, into step 14.
Step 14 is described based on the operation of power networks section tidal current data being newly generated in Fig. 2, with reference to current operation side
The running status of protection device and its model and parameter under formula, pass through formula (6) being newly generated of calculating that step 13) obtains
F under operation of power networks state corresponding to operation of power networks section tidal current data0In each forecast failure occur after because forecast failure is straight
Value of risk summation SL' caused by the protection device action of contact hairr, into step 15；
In formula, L'r.iPower network fortune corresponding to the operation of power networks section tidal current data being newly generated that are obtained in step 13
F under row state0In i-th forecast failure occur after loss generation caused by the protection device action that forecast failure directly triggers
Valency, pf.iFor F0In the probability that occurs of i-th forecast failure.
Step 15 describes to calculate in Fig. 2 implements C under the current method of operation of power networkpWith Δ CpThe adjustment generation paid
Valency and the SL' being calculated in step 14rBoth sums, and if should only implement C less than or equal under the current method of operation of power networkp
The SL that the adjustment cost paid is calculated with step 12rAnd SLfrpThree's sum, then into step 16, otherwise, return to step
Rapid 11.
Step 16 is described according to Δ C in Fig. 2pIn select each Control Measure respectively to CpIt is handled as follows
Afterwards, into step 17：
If Δ CpIn select Control Measure prevention and control equipment and its control variable in CpIn it is existing, then will
The C related to the prevention and control equipment and its control variable of the selected Control MeasurepIn final controlled quentity controlled variable and Δ CpIn
Controlled quentity controlled variable increment sum be used for update CpIn final controlled quentity controlled variable, otherwise, by the pre- prevention and control of the selected Control Measure
Control equipment and its control variable, control direction and controlled quentity controlled variable increment respectively as newly-increased prevention and control Optimized Measures pre- prevention and control
Control equipment and its control variable, control direction and final controlled quentity controlled variable are added to CpIn.
If step 17 describes I in Fig. 2cFor 0, into step 18, otherwise, by CpAs final online preventive control
Optimized Measures collection submits to management and running personnel, terminates this method.
Step 18 is described according to Δ C in Fig. 2pIn select each Control Measure it is pre- to what is be newly generated respectively
After anti-control candidate's measure collection is handled as follows, return to step 6：
The first step, if Δ CpIn select Control Measure prevention and control equipment and its control variable be selected first
, then concentrate and reject and the prevention and control equipment of the Control Measure and its control from the prevention and control candidate measure being newly generated
Candidate's measure that variable processed is identical but control direction is different；
Second step, concentrate and search and Δ C from the prevention and control candidate measure being newly generatedpIn select prevention and control arrange
The prevention and control equipment applied and its control variable identical candidate's measure, if the controlled amounts maximum of candidate's measure and Δ CpIn
The controlled quentity controlled variable increment of selected Control Measure is equal, then is concentrated from the prevention and control candidate measure being newly generated and reject the time
Measure is selected, otherwise, using controlled amounts maximum and the Δ C of candidate's measurepIn select Control Measure controlled quentity controlled variable increase
Measure the controlled amounts maximum that the difference of the two updates candidate's measure.
Although the present invention is disclosed as above with preferred embodiment, embodiment is not for limiting the present invention's.Not
In the spirit and scope for departing from the present invention, any equivalence changes done or retouching, the protection domain of the present invention is also belonged to.Cause
This protection scope of the present invention should be using the content that claims hereof is defined as standard.
Claims (8)
1. meter and protection control the online preventive control Application of risk decision method of cost with peace certainly, it is characterised in that including following step
Suddenly：
1) based on the current running status of power network and device model and parameter, generation reflects power network current operating conditions, for electricity
The flow data of net safety and stability online analysis and stablize data, in conjunction with power network information of forecasting and plan information, generation prevention
Candidate's measure collection is controlled, respectively as the operation of power networks section tidal current data being newly generated, stable data and prevention and control candidate
Measure collection, and t is designated as at the time of by corresponding to operation of power networks section0, into step 2)；
The prevention and control candidate measure collection refers to optional prevention and control equipment and its control variable, control under the current method of operation
Direction processed and the set of controlled amounts maximum；
2) probability that forecast failure occurs is more than threshold value p set in advancecrThe set of forecast failure be designated as forecast failure
Collect F0, into step 3)；
The forecast failure refers to power network in t0To (t0+Δtf) period in may occur one or more equipment faults group
Close；
The probability that the forecast failure occurs refers to power network in t0To (t0+Δtf) period in the forecast failure occur number；
Wherein, Δ tfDuration is defendd for the prevention and control of setting；
3) based on the operation of power networks section tidal current data that are newly generated and data are stablized, using cluster Computing Platform, respectively for F0
In each forecast failure, meter and protection device and peace from the running status and its model and parameter of device, pass through formula (1) and calculate
Go out the protection device directly triggered by forecast failure with peace from the value of risk caused by device action, into step 4)；
Lrc.i=(Lr.i+Lc.i)pf.iI=1,2 ..., n (1)
In formula, n F0The number of middle forecast failure, Lr.iFor in the electricity corresponding to the operation of power networks section tidal current data being newly generated
F under Running State0In i-th forecast failure occur after damage caused by the protection device action that forecast failure directly triggers
Lose cost, Lc.iFor the F under the operation of power networks state corresponding to the operation of power networks section tidal current data being newly generated0In i-th it is pre-
Think peace that failure directly triggered by forecast failure after occurring from the loss cost caused by device action, pf.iFor F0In i-th it is pre-
Think the probability that failure occurs, Lrc.iFor under the operation of power networks state corresponding to the operation of power networks section tidal current data being newly generated
F0In i-th forecast failure occur after the protection device that directly triggers by forecast failure and peace from the risk caused by device action
Cost；
4) according to the descending order of the probability of forecast failure generation to F0In all forecast failures be ranked up, obtain pre-
Contingency ranking table is thought, wherein for probability of happening identical forecast failure then according to the forecast failure being calculated in step 3)
The descending order of value of risk determines the order between these probability of happening identical forecast failures, into step 5)；
5) online preventive control Optimized Measures collection C is setpFor empty set, forecast failure sequence pointer i is setsFor 0, set and calculate mark
Will IcFor 0, into step 6)；
The online preventive control Optimized Measures collection refers to that the prevention and control equipment selected under the current method of operation and its control become
The set of amount, control direction and final controlled quentity controlled variable；
If 6) current time t and t0Difference be less than setting prevention and control Optimal Decision-making duration limit Δ tc, it is no into step 7)
Then, by CpManagement and running personnel are submitted to as final online preventive control Optimized Measures collection, terminate this method；
Wherein, Δ tcLess than Δ tf；
If 7) isLess than n, then the sequence according to forecast failure in forecast failure sequencing table, will sort from (is+ 1) position starts directly
To min { is+max[int(kpnp), 1], n] position altogether { min { is+max[int(kpnp),1],n]}-isIndividual forecast failure
Set be designated as Fc, and by isIt is set to min { is+max[int(kpnp), 1], n], into step 8), otherwise, by CpAs final
Online preventive control Optimized Measures collection submit to management and running personnel, terminate this method；
Wherein, npFor all CPU in the cluster Computing Platform that is calculated for electricity net safety stable online preventive control Optimal Decision-making
Total check figure, kpFor the parameter for being less than 1 of setting；
8) based on the operation of power networks section tidal current data that are newly generated and data are stablized, using cluster Computing Platform, respectively for Fc
In each forecast failure, calculate the loss cost L caused by the action of protection device that forecast failure directly triggersr, and count
And protection device and peace carry out the electricity net safety stable time domain under forecast failure from the running status and its model and parameter of device
Simulation calculation, calculate the loss cost L caused by forecast failure occursf, into step 9)；
If 9) FcMiddle LfMore than LrForecast failure number be 0, then return to step 6)；Otherwise, by FcMiddle LfMore than LrForecast failure
Set be designated as Fp0, by FcIn remove Fp0The set of forecast failure outside middle forecast failure is designated as Fs0, calculated by formula (2)
Go out Fp0In each forecast failure occur after caused by value of risk summation SLfp0, and set up set Fp, by FpInitial value set
It is set to Fp0, by FpIn each forecast failure occur after caused by value of risk summation SLfpInitial value be arranged to SLfp0, enter
Enter step 10)：
<mrow>
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<mi>SL</mi>
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In formula, mp0For Fp0The sum of middle forecast failure, Lfp0.kFor the F being calculated in step 8)p0In k-th forecast failure hair
Loss cost caused by after life, pfp0.kFor Fp0In the probability that occurs of k-th forecast failure；
10) by Fs0With FpUnion be designated as Fs, using cluster Computing Platform, based on the flow data being newly generated, stable data and
Prevention and control candidate's measure collection, meter and FsIn each forecast failure LfWith LrEqual constraints respectively, carry out power grid security
The Optimal Decision-making of stable Control Measure calculates；If it is met FsIn each forecast failure safety and stability pre- prevention and control
Optimized Measures increment collection Δ C processedp, then into step 12), otherwise calculation flag I is setcFor 1, into step 11)；
The prevention and control Optimized Measures increment collection refers to selected prevention and control equipment and its control variable, control direction and control
The set of amount increment processed；
If 11) FpThe total m of middle forecast failurepMore than the forecast failure number and SL of settingfpWith SLfp0Ratio be more than setting value λ,
Sequence of the forecast failure in forecast failure sequencing table is then pressed first, from FpIt is middle to reject the posterior int (m that sortp/ 2) individual anticipation event
Barrier, the F after being updatedpAnd mp, then SL calculated by formula (3)fp, return to step 10)；Otherwise by CpAs it is final
Line prevention and control Optimized Measures collection submits to management and running personnel, terminates this method：
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In formula, Lfp.jFor the F being calculated in step 8)pIn j-th forecast failure occur after caused by loss cost, pfp.j
For FpIn the probability that occurs of j-th forecast failure；
12) based on the operation of power networks section tidal current data being newly generated, with reference to the operation shape of protection device under the current method of operation
State and its model and parameter, F is calculated by formula (4)0In each forecast failure occur after directly triggered because of forecast failure
Value of risk summation SL caused by protection device actionr；F is calculated by formula (5)pIn each forecast failure occur after remove
Value of risk summation caused by outside the value of risk caused by the protection device action that forecast failure directly triggers
SLfrp, into step 13)；
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<mi>SL</mi>
<mi>r</mi>
</msub>
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In formula, Lr.iFor the F under the operation of power networks state corresponding to the operation of power networks section tidal current data being newly generated0In i-th
Loss cost after forecast failure generation caused by the protection device action that forecast failure directly triggers, pf.iFor F0In i-th
The probability that forecast failure occurs；Lfp.jFor the F being calculated in step 8)pIn j-th forecast failure occur after caused by loss
Cost, Lrp.jFor the F being calculated in step 8)pIn j-th forecast failure occur after the protection dress that directly triggers by forecast failure
Put the loss cost caused by action, pfp.jFor FpIn the probability that occurs of j-th forecast failure；
13) in the operation of power networks section tidal current data that are newly generated and on the basis of stablizing data, Δ C is implemented in generationpTide afterwards
Flow data and stablize data, for updating the operation of power networks section tidal current data being newly generated and stablizing data, into step
14)；
14) based on the operation of power networks section tidal current data being newly generated, with reference to the operation shape of protection device under the current method of operation
State and its model and parameter, the operation of power networks section tidal current data being newly generated that step 13) obtains are calculated by formula (6)
F under corresponding operation of power networks state0In each forecast failure occur after the protection device action that directly triggers by forecast failure
Caused value of risk summation SL'r, into step 15)；
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<msubsup>
<mi>SL</mi>
<mi>r</mi>
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In formula, L'r.iOperation of power networks corresponding to the operation of power networks section tidal current data being newly generated that are obtained in step 13)
F under state0In i-th forecast failure occur after loss generation caused by the protection device action that forecast failure directly triggers
Valency, pf.iFor F0In the probability that occurs of i-th forecast failure；
15) calculate and implement C under the current method of operation of power networkpWith Δ CpThe adjustment cost paid in step 14) with being calculated
SL'rBoth sums, and if should only implement C less than or equal under the current method of operation of power networkpThe adjustment cost paid and step
The rapid SL 12) being calculatedrAnd SLfrpThree's sum, then into step 16), otherwise, return to step 11)；
16) according to Δ CpIn select each Control Measure respectively to CpAfter being handled as follows, into step 17)：
If Δ CpIn select Control Measure prevention and control equipment and its control variable in CpIn it is existing, then will be with this
The prevention and control equipment of selected Control Measure and its C of control variable correlationpIn final controlled quentity controlled variable and Δ CpIn control
Amount increment sum processed is used to update CpIn final controlled quentity controlled variable, otherwise, the prevention and control of the selected Control Measure are set
Standby and its control variable, control direction and controlled quentity controlled variable increment are set respectively as the prevention and control of newly-increased prevention and control Optimized Measures
Standby and its control variable, control direction and final controlled quentity controlled variable are added to CpIn；
If 17) IcFor 0, into step 18), otherwise, by CpScheduling is submitted to as final online preventive control Optimized Measures collection
Operations staff, terminate this method；
18) according to Δ CpIn each Control Measure for selecting prevention and control candidate's measure collection for being newly generated is made such as respectively
After lower processing, return to step 6)：
The first step, if Δ CpIn select Control Measure prevention and control equipment and its control variable be it is selected first, then
Concentrate to reject from the prevention and control candidate measure being newly generated and become with the prevention and control equipment of the Control Measure and its control
Measure identical but different control direction candidate's measure；
Second step, concentrate and search and Δ C from the prevention and control candidate measure being newly generatedpIn the Control Measure selected
Prevention and control equipment and its control variable identical candidate's measure, if the controlled amounts maximum of candidate's measure and Δ CpIn select
Control Measure controlled quentity controlled variable increment it is equal, then concentrated from the prevention and control candidate measure that is newly generated and reject the candidate and arrange
Apply, otherwise, using controlled amounts maximum and the Δ C of candidate's measurepIn select Control Measure controlled quentity controlled variable increment two
The difference of person updates the controlled amounts maximum of candidate's measure.
2. meter according to claim 1 and protection control the online preventive control Application of risk decision method of cost with peace certainly, its
It is characterised by, the threshold value p in the step 2)crTake《Guiding rules of power system safety and stability》Middle second security perimeter is defendd
The minimum value of faulty middle probability of happening 1/10th.
3. meter according to claim 1 and protection control the online preventive control Application of risk decision method of cost with peace certainly, its
It is characterised by, the Δ t in the step 2)fIt is arranged to 15 minutes.
4. meter according to claim 1 and protection control the online preventive control Application of risk decision method of cost with peace certainly, its
It is characterised by, the Δ t in the step 6)cIt is arranged to 5 minutes.
5. meter according to claim 1 and protection control the online preventive control Application of risk decision method of cost with peace certainly, its
It is characterised by, the k in the step 7)pIt is arranged to 0.9.
6. meter according to claim 1 and protection control the online preventive control Application of risk decision method of cost with peace certainly, its
It is characterised by, the forecast failure number in the step 11) is the odd number more than 1.
7. meter according to claim 6 and protection control the online preventive control Application of risk decision method of cost with peace certainly, its
It is characterised by, the forecast failure number in the step 11) is arranged to 5.
8. meter according to claim 1 and protection control the online preventive control Application of risk decision method of cost with peace certainly, its
It is characterised by, the setting value λ in the step 11) is arranged to 0.2.
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| CN108847660B (en) * | 2018-06-06 | 2021-04-02 | 国电南瑞科技股份有限公司 | Prevention control optimization decision method based on online checking of offline strategy of security control system |
| CN109711450A (en) * | 2018-12-20 | 2019-05-03 | 北京科东电力控制***有限责任公司 | A kind of power grid forecast failure collection prediction technique, device, electronic equipment and storage medium |
| CN110690703B (en) * | 2019-11-04 | 2021-05-18 | 国电南瑞科技股份有限公司 | Fault defense online policy table generation method, online safety and stability emergency control method and system |
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| CN102222890A (en) * | 2011-06-10 | 2011-10-19 | 河南省电力公司 | Complex power grid cascading failure analysis method considering atrocious weather factor |
| CN102324068A (en) * | 2011-08-31 | 2012-01-18 | 广东省电力调度中心 | Power secondary equipment risk assessment method and system thereof |
| CN103248051A (en) * | 2013-05-25 | 2013-08-14 | 南京南瑞集团公司 | Method for evaluating grid operation safety risk caused by wind farm power fluctuation |
| CN104376506A (en) * | 2014-11-17 | 2015-02-25 | 三峡大学 | Electric power system risk assessment method based on deterministic analysis |
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