CN109066659A - Micro-capacitance sensor isolated operation reliability estimation method and terminal device - Google Patents
Micro-capacitance sensor isolated operation reliability estimation method and terminal device Download PDFInfo
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- CN109066659A CN109066659A CN201810975630.9A CN201810975630A CN109066659A CN 109066659 A CN109066659 A CN 109066659A CN 201810975630 A CN201810975630 A CN 201810975630A CN 109066659 A CN109066659 A CN 109066659A
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/388—Islanding, i.e. disconnection of local power supply from the network
Abstract
The present invention relates to field of computer technology, a kind of micro-capacitance sensor isolated operation reliability estimation method and terminal device are provided.This method comprises: obtaining the failure rate and fault restoration rate of each element in micro-capacitance sensor, and the time between failures and fault correction time of each element are calculated according to the failure rate of each element and fault restoration rate, obtain time series table；According to preset failure isolation strategy and default microgrid power interactive tactics, the operation conditions of micro-capacitance sensor after each element failure in the time series table is analyzed respectively, determines the power off time of each load bus in micro-capacitance sensor after each failure occurs；Calculate the reliability index of each load bus；The reliability index of micro-grid system is calculated according to the reliability index of each load bus.The present invention can be improved the assessment accuracy of the industrial park micro-capacitance sensor isolated operation reliability containing EV charging station.
Description
Technical field
The present invention relates to micro-capacitance sensor operation reliability evaluation technical field more particularly to a kind of micro-capacitance sensor isolated operation are reliable
Property appraisal procedure and terminal device.
Background technique
In recent years, the clean energy technologies such as wind-powered electricity generation, photovoltaic were grown rapidly, and photovoltaic is the distribution of representative in a distributed manner
Formula power source development shows the explosive growth impetus.A large amount of micro-capacitance sensor access distribution systems will be the new shape of the following power distribution network
State, and this will be more universal in some large scale industry gardens.The development of micro-capacitance sensor technology largely solves cleaning energy
Influence of the source generated output unstability to power distribution network, while grid dispatching center is also improved to the control energy of distributed generation resource
Power effectively promotes the high permeability access of clean energy resource power generation.
The fast development of electric car (Electric Vehicle, EV) brings a large amount of EV charging equipment access distribution
Net, EV charging equipment becomes therewith newly enters element inside micro-capacitance sensor.In view of electric car and power grid interaction technique
The application of (Vehicle-to-grid, V2G) technology, the operational application of micro-capacitance sensor also become increasingly complex.
Micro-grid operation mode is mainly grid-connected and isolated island both of which.When micro-grid connection operation when, net internal loading by
Distributed generation resource in external power grid and micro-capacitance sensor combines power supply.At this point, influence of the fluctuation of distributed generation resource power output to load
Less.Electric car in energy-storage system and EV charging station is in charged state.When micro-capacitance sensor isolated operation, net internal loading
Mainly there is distributed generation resource in net to be powered.Due to distributed generation resource power output fluctuation and power load size with
Machine, the power between the lotus of source are difficult to maintain balance, it is therefore desirable to which energy-storage system is come the stabilization that maintains micro-grid system to run.
Currently, certain research at home and abroad has been done for the reliability service assessment aspect under micro-capacitance sensor island state,
Mainly the micro-capacitance sensor operational reliability under island operation state is analyzed from different perspectives, but existing appraisal procedure
All without the access situation of meter and electric car, can not accurate evaluation contain the industrial park micro-capacitance sensor isolated operation of EV charging station
Reliability.
Summary of the invention
In view of this, the embodiment of the invention provides micro-capacitance sensor isolated operation reliability estimation method and terminal device, with
Solve current appraisal procedure can not the reliability of the accurate evaluation industrial park micro-capacitance sensor isolated operation that contains EV charging station ask
Topic.
The first aspect of the embodiment of the present invention provides micro-capacitance sensor isolated operation reliability estimation method, comprising:
The failure rate and fault restoration rate of each element in micro-capacitance sensor are obtained, and according to the failure rate and fault restoration of each element
Rate calculates the time between failures and fault correction time of each element, obtains time series table；
According to preset failure isolation strategy and default microgrid power interactive tactics, respectively in the time series table
The operation conditions of micro-capacitance sensor is analyzed after each element failure, determines after each failure occurs each load bus in micro-capacitance sensor
Power off time；The default microdot net power interactive tactics is energy storage device in micro-capacitance sensor, electric automobile charging station equipment and divides
The united power interactive tactics of cloth power supply；
Calculate the reliability index of each load bus, the reliability index include failure rate, the mean down time,
At least one of average power off time；
The reliability index of micro-grid system is calculated according to the reliability index of each load bus.
The second aspect of the embodiment of the present invention provides micro-capacitance sensor isolated operation reliability assessment device, comprising:
Module is obtained, for obtaining the failure rate of each element and fault restoration rate in micro-capacitance sensor, and according to the event of each element
Barrier rate and fault restoration rate calculate the time between failures and fault correction time of each element, obtain time series table；
Processing module, for strategy and default microgrid power interactive tactics to be isolated according to preset failure, respectively to described
The operation conditions of micro-capacitance sensor is analyzed after each element failure in time series table, determines micro-capacitance sensor after each failure generation
The power off time of interior each load bus；The default microdot net power interactive tactics is energy storage device, electric car in micro-capacitance sensor
Charge station equipment and the united power interactive tactics of distributed generation resource；
First computing module, for calculating the reliability index of each load bus, the reliability index includes average event
At least one of barrier rate, mean down time, average power off time；
Second computing module, the reliability for calculating micro-grid system according to the reliability index of each load bus refer to
Mark.
The third aspect of the embodiment of the present invention provides terminal device, including memory, processor and is stored in described
In memory and the computer program that can run on the processor, the processor are realized when executing the computer program
Micro-capacitance sensor isolated operation reliability estimation method in first aspect.
The fourth aspect of the embodiment of the present invention provides computer readable storage medium, the computer readable storage medium
It is stored with computer program, realizes that the micro-capacitance sensor isolated operation in first aspect can when the computer program is executed by processor
By property appraisal procedure.
Existing beneficial effect is the embodiment of the present invention compared with prior art: the embodiment of the present invention is directed to charge containing EV
The industrial park micro-capacitance sensor isolated operation mode stood is combined EV according to energy storage device and is filled using sequential Monte Carlo analogy method
Fault Isolation plan after inside is broken down under power interactive tactics and micro-capacitance sensor island state between power station and micro-capacitance sensor
Slightly, the operational reliability of the garden micro-capacitance sensor under island mode is assessed, can be improved the industry park containing EV charging station
The assessment accuracy of area's micro-capacitance sensor isolated operation reliability, improves micro-capacitance sensor operation stability and new energy receives ability, simultaneously
Power grid is also beneficial to the United Dispatching of distributed generation resource.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the implementation flow chart of micro-capacitance sensor isolated operation reliability estimation method provided in an embodiment of the present invention；
Fig. 2 is in micro-capacitance sensor isolated operation reliability estimation method provided in an embodiment of the present invention in time series table
The implementation flow chart that the operation conditions of micro-capacitance sensor is analyzed after each element failure；
Fig. 3 is that each in micro-capacitance sensor bear is determined in micro-capacitance sensor isolated operation reliability estimation method provided in an embodiment of the present invention
The power off time of lotus node；
Fig. 4 is one provided in an embodiment of the present invention and implements exemplary micro-capacitance sensor Feeder partitioning schematic diagram；
Fig. 5 is the schematic diagram of micro-capacitance sensor isolated operation reliability assessment device provided in an embodiment of the present invention；
Fig. 6 is the schematic diagram of terminal device provided in an embodiment of the present invention.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, in case unnecessary details interferes description of the invention.
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Fig. 1 is the implementation flow chart of micro-capacitance sensor isolated operation reliability estimation method provided in an embodiment of the present invention, is described in detail
It is as follows:
In S101, the failure rate and fault restoration rate of each element in micro-capacitance sensor are obtained, and according to the failure rate of each element
The time between failures and fault correction time that each element is calculated with fault restoration rate, obtain time series table.
In the present embodiment, each element can be calculated according to the failure rate and fault restoration rate of random number and each element
Time between failures (time to failure, TTF) and fault correction time (time to repair, TTR), when obtaining
Between sequence table.Such as time series table can be expressed as Tf=[TTF1,TTF2,····,TTFn], Tr=[TTR1,
TTR2,····,TTRn]。
As an embodiment of the present invention, S101 may include:
The time between failures of each element are calculated according to the first calculation formula, the failure rate of each element and fault restoration rate
And fault correction time；First calculation formula are as follows:
Wherein, TTFiFor the time between failures of i-th of element, λiFor the failure rate of i-th of element；TTRiIt is i-th
The fault correction time of element, μiFor the fault restoration rate of i-th of element；U obeys equally distributed random between (0,1)
Number.
In the present embodiment, the time between failures of each element and event in network can be calculated separately according to formula (1)
Hinder repair time.
In S102, according to preset failure isolation strategy and default microgrid power interactive tactics, respectively to the time
The operation conditions of micro-capacitance sensor is analyzed after each element failure in sequence table, is determined each in micro-capacitance sensor after each failure occurs
The power off time of load bus；The default microdot net power interactive tactics is energy storage device in micro-capacitance sensor, electric car charging
Station equipment and the united power interactive tactics of distributed generation resource.
In the present embodiment, it can be determined micro- according to the industrial park micro-capacitance sensor isolated operation mode containing EV charging station
The preset failure isolation strategy of power grid and default microgrid power interactive tactics.Further according to preset failure isolation strategy and preset micro-
Grid power interactive tactics determines the power off time of each load bus in micro-capacitance sensor after each failure occurs.
As an embodiment of the present invention, as shown in Fig. 2, S102 may include:
In S201, element each in the time series table is carried out from small to large according to the fault correction time of each element
Sequence.
In S202, each element after successively choosing sequence is as the element to break down.
In S203, according to preset failure isolation strategy and default microgrid power interactive tactics, determine that each failure occurs
Afterwards in micro-capacitance sensor each load bus power off time.
In the present embodiment, failure can be enumerated.According to TfThe middle faulty fault correction time of institute, from small to large, according to
It is secondary to enumerate.Further according to preset failure isolation strategy and default microgrid power interactive tactics, micro-capacitance sensor after each failure generation is determined
The power off time of interior each load bus.
As an embodiment of the present invention, as shown in figure 3, S203 may include:
In S301, for any failure, position of failure point, fault type of any failure in micro-capacitance sensor are determined
And failure influence area.
In S302, Fault Isolation processing is carried out to any failure according to preset failure isolation strategy, and determine by
The load bus that any failure influences.
In S303, shape is run to the Fault Isolation treated micro-capacitance sensor according to default microgrid power interactive tactics
Condition is analyzed, and determines power off time of each load bus under the influence of any failure in micro-capacitance sensor.
In the present embodiment, it is illustrated by taking the analysis to a failure as an example.For the failure selected, judgement
Position of failure point and fault type analyze the region influenced by failure.Strategy is isolated according to preset failure and carries out Fault Isolation behaviour
Make, determines the load bus influenced by the failure.Operational application is carried out to the feeder zone after isolated fault, judgement is normal
The power-balance situation of working region, and according to default microgrid power interactive tactics, it is determined whether load reduction need to be carried out, and
Determine the load bus being cut in.Determine power off time of all load bus under the influence of the failure.
As an embodiment of the present invention, the preset failure isolation strategy may include:
Corresponding the Fault Isolation Strategy is determined according to fault type；
If fault type be load area fault, will flow into failure load area electric current updrift side breaker or
Intelligent switch disconnects, and disconnects the disconnecting switch of failure influence area, be overlapped breaker and intelligent switch so that micro-capacitance sensor without reason
Hinder equipment to restore to operate normally；
If fault type is distributed generation resource failure, energy storage device failure or electric automobile charging station equipment fault, break
Open the intelligent switch being connected with trouble power；
If fault type is circuit branch road failure, the updrift side open circuit of the electric current of faulty line bypass region will be flowed into
Device or intelligent switch disconnect.
It in the present embodiment, is the lasting electricity consumption for ensureing other fault-free loads as far as possible when breaking down in micro-capacitance sensor,
Fault Isolation will be carried out using the switch in network line.Operation conditions after breaking down in micro-capacitance sensor is also by difference
The influence of type of switch Interruption performance and switchgear the configuration position in circuit network.As shown in figure 4, to switch as boundary
Micro-capacitance sensor feeder zone is classified and is divided:
Level-1 area: inside is free of the Minimum Area of any type switching device.It include: using disconnecting switch as the negative of boundary
Lotus region, using intelligent switch as the distributed power supply system on boundary, and using intelligent switch as the energy storage device region on boundary and
EV charging station region.
Level-2 area: using breaker as boundary, and no longer contain other breakers in region.Generally by multiple level-1 areas
The same bypass region being composed.
Wherein, distributed generation resource accesses micro-grid system by intelligent switch, when distributed generation resource power output is zero or failure
When, to prevent power from flowing backwards, machine is cut in intelligent switch movement.Energy storage device and EV charging station access micro-capacitance sensor by intelligent switch,
When equipment fault, there is intelligent switch the characteristic of breaker to cut-off failure；When energy storage device or EV charging station are as power supply spy
Property electric discharge when, downstream load or line failure, intelligent switch movement block energy storage device or EV charging station discharge operation.
Generable fault type may include following at least one in the garden micro-capacitance sensor that the present embodiment is considered: distribution
Formula power failure, load failure, energy storage device failure, EV charging station failure, line facility failure etc..Wherein, as shown in figure 4,
Distributed generation resource, energy storage device and EV charging station are each second level areas that micro-capacitance sensor feeder line is accessed by intelligent switch distributing
Domain forms the low voltage electric network system of power supply diverse access point more than one.Therefore, it after different types of faults occurring in micro-capacitance sensor, opens
Following analysis can be done by closing the influence that action policy and such failure run other loads of micro-capacitance sensor or equipment:
1) using disconnecting switch to break down in the load area on boundary.By taking load point LP2 breaks down as an example, switch is dynamic
Make process:
1step: the updrift side breaker or intelligent switch of the electric current in offered load region act first, i.e. in Fig. 4
2, the intelligent switch that No. 4 breakers and DG1 are connected acts first.If failure occur, BAT1 is in discharge condition, then its
The intelligent switch of connection also simultaneously switches off.
2step: after blocking current direction fault point, the disconnecting switch isolated fault of fault zone is manually or automatically cut-off.
3step: being overlapped breaker and intelligent switch, and micro-capacitance sensor fault-free equipment is restored to operate normally.
Such failure does not impact other level-2 areas, and to other level-ones in level-2 area where fault point
Region load and power equipment, which cause to have a power failure, to be influenced, and power off time is disconnecting switch switch off time.
2) using intelligent switch as the distributed generation resource failure on boundary, energy storage device failure, EV charging station failure.It only needs to disconnect
The connected intelligent switch of trouble power.When such as BAT1 or DG1 failure in Fig. 4, the intelligence of level-1 area where disconnecting it
Switch.
After such failure occurs, trouble power is removed, and system gross capability is reduced, to maintain system power balance and electricity
Pressure, the stabilization of frequency again need to analyze micro-capacitance sensor operation according to power interactive tactics.Wherein, if energy storage device and EV
Charging station is carrying out charging operations when failure occurs, then disconnects its intelligent switch connected.Otherwise, by making micro- electricity
Network source troubleshooting.
3) circuit branch road failure.It is essentially identical when operation reserve is with load point failure, it is not necessarily to carry out after only blocking electric current
The operation of disconnection disconnecting switch and breaker and intelligent switch cannot close again.Such as the P point line fault in Fig. 4, then disconnect
2, the intelligent switch of No. 4 breakers and the place DG1 level-1 area.If BAT1 is in discharge condition when failure occurs, simultaneously
Disconnect the intelligent switch of its connection.When such failure occurs, the load of level-2 area all has a power failure where fault point, all devices
Out of service, power off time is fault correction time.
The preset failure proposed based on the present embodiment is isolated strategy, failure occur after can by level-2 area where fault point with
The isolation of other level-2 areas, effectively limits the coverage of failure, improves the reliability service of micro-capacitance sensor.For isolated fault
Region afterwards, need to be using the power interactive tactics for energy storage device joint the EV charging station and micro-capacitance sensor that the present embodiment proposes, to micro-
The operation conditions in power grid fault-free region is analyzed, and judges whether each region needs to carry out load reduction, and carries out relevant operation.
As an embodiment of the present invention, the default microgrid power interactive tactics includes:
Determine the period locating for micro-capacitance sensor isolated operation；
Grid entry point exchanges power P when calculating micro-capacitance sensor isolated operationph(t)；
If Pph(t) > 0 and the period locating for micro-capacitance sensor isolated operation was the first period, then micro-capacitance sensor carries out energy storage device
Charging；If Pph(t) > 0 and the period locating for micro-capacitance sensor isolated operation was the second period, then micro-capacitance sensor is carried out to energy storage device first
Charging, when the carrying capacity in energy storage device reaches the first preset value SOCbat·sdOr Pph(t)-Pbat·ch·maxWhen > 0, to electronic
Electric car in vehicle charging station charges；
If Pph(t) < 0 and the period locating for micro-capacitance sensor isolated operation was the first period, then energy storage device carries out discharge operation；
If Pph(t) < 0 and the period locating for micro-capacitance sensor isolated operation is the third period, then micro-capacitance sensor sets electric automobile charging station first
It is standby to carry out discharge operation, work as Pph(t)+PEV·dis(t) < 0 so that energy storage device is participated in discharge operation when, work as Pph(t)+PEV·dis(t)+
Pbat·dis·maxLoad reduction is carried out to micro-capacitance sensor when < 0；
Wherein, Pbat·ch·maxFor the maximum charge power of energy storage device, Pbat·dis·maxFor the maximum electric discharge function of energy storage device
Rate, PEV·disIt (t) is the discharge power of electric automobile charging station equipment；
First period is the period that electric car is not involved in microgrid power interaction；Second period is electronic vapour
Vehicle participates in the period of microgrid power interaction in a charge mode；The third period is electric car with the micro- electricity of discharge mode participation
The period of net power interaction.
In the present embodiment, in micro-capacitance sensor isolated operation, generated output of renewable energy source and negative inside micro-capacitance sensor
Equilibrium condition between lotus demand power decides the power flow direction between EV charging station and micro-grid system.Therefore, micro-capacitance sensor is endogenous
Power-balance situation between lotus can do following analysis:
Pph(t)=PG(t)-PL(t) (2)
Wherein, PG(t)=PWT(v)+PPV(t)；Pph(t) power, P are exchanged for micro-grid connection pointGIt (t) is distributed generation resource
Real-time generated output, PLIt (t) is the real-time load power in micro-capacitance sensor；PWTIt (v) is wind power generator group generated output, PPV
It (t) is photovoltaic power generation unit generated output.
After electric car accesses micro-grid system, and energy storage device characteristic having the same when micro-capacitance sensor isolated operation, is matched
Standby energy storage device combines energy-storage system with what electric car formed, and the smooth distribution formula energy is contributed, and improves micro-capacitance sensor and stablizes fortune
Row is horizontal.When distributed energy power generation output power is greater than workload demand in micro-capacitance sensor, system will carry out energy storage device and EV
Charging；When generated output is not able to satisfy the demand of load, energy storage device and EV will carry out discharge operation, joint distributed power supply
It powers together to load.When energy storage, EV charging station joint distributed power supply are all unable to satisfy workload demand together, system is by root
The reduction of load is successively carried out according to the severity level of load, until system stable operation.
By the analysis to private savings EV in micro-capacitance sensor and electronic regular bus running time characteristic, electric car participates in micro-capacitance sensor
V2G is broadly divided into charge period Tch(i.e. the second period) and electric discharge period Tdis(i.e. third period) both of which, electric car is not
The participation V2G period is T1(i.e. the first period).
T on weekdayschAnd TdisIn period when micro-capacitance sensor isolated operation, energy storage device combine EV charging station jointly with it is micro-
Power grid carries out power interaction.Situation timesharing piecewise analysis is interacted with the power between micro-capacitance sensor for energy storage device joint EV charging station:
Step 1: determining the period of micro-capacitance sensor isolated operation, i.e., whether it is in TchOr TdisPeriod；
Step 2: grid entry point exchanges power when calculating micro-capacitance sensor isolated operation, i.e. calculating Pph(t) value；
Step 3: if Pph(t)>0.In T1When the period, micro-capacitance sensor will only charge to energy storage device.In TchIt is period, micro-
Power grid charges to energy storage device first, when the carrying capacity in energy storage device reaches a certain setting value SOCbat·sd, (value is set
Determine principle are as follows: under the premise of guaranteeing energy storage device follow-up work as far as possible, take into account the charge requirement of electric car) or Pph(t)-
Pbat·ch·max> 0, that is, still there is rich power when meeting the maximal input of energy storage device, then to the electronic vapour in EV charging station
Vehicle charges.Wherein, SOCbat·sdCan be energy storage device be when EV charging station is without electric car maintain follow-up system stablize
The state-of-charge to be kept.
Step 4: if Pph(t)<0.In T1When the period, energy storage device carries out discharge operation.In TdisPeriod, micro-capacitance sensor is first
Electric car is arranged to carry out discharge operation.Work as Pph(t)+PEV·dis(t) < 0, i.e., EV charging station joint renewable energy can not also expire
When sufficient workload demand, then energy storage device participates in discharge operation.If Pph(t)+PEV·dis(t)+Pbat·dis·max< 0, i.e., energy storage device,
When EV charging station and renewable energy joint power output are all unable to satisfy workload demand, load reduction need to be carried out.
Optionally, the default microgrid power interactive tactics can also include:
Establish the charge-discharge electric power computation model of energy storage device；The charge-discharge electric power computation model of the energy storage device includes
When the charge power computation model of the second period energy storage device, the discharge power computation model of the second period energy storage device, third
The section charge power computation model of energy storage device and the discharge power computation model of third period energy storage device；
The charge power computation model of the second period energy storage device are as follows:
The discharge power computation model of the second period energy storage device are as follows:
The charge power computation model of the third period energy storage device are as follows:
The discharge power computation model of the third period energy storage device are as follows:
Wherein, Pbat·disIt (t) is the discharge power of energy storage device, Pbat·chIt (t) is the charge power of energy storage device, SOCbat
It (t) is the state-of-charge of energy storage device.
In the present embodiment, formula (3) to (6) indicates that energy storage device is in different periods in garden micro-capacitance sensor, and micro-capacitance sensor is not
Charge-discharge electric power computation model under same operation conditions.
In S103, the reliability index of each load bus is calculated, the reliability index includes failure rate, is averaged
At least one of fault time, average power off time.
In the present embodiment, it can be calculated each according to the power off time of each load bus in micro-capacitance sensor after the generation of each failure
The failure rate λ of load busi, mean down time ri, annual power off time UiEtc. reliability indexs.
In S104, the reliability index of micro-grid system is calculated according to the reliability index of each load bus.
The embodiment of the present invention is directed to the industrial park micro-capacitance sensor isolated operation mode containing EV charging station, special using sequential illiteracy
Carlow analogy method combines power interactive tactics and micro-capacitance sensor isolated island between EV charging station and micro-capacitance sensor according to energy storage device
The Fault Isolation Strategy after inside is broken down under state, comments the operational reliability of the garden micro-capacitance sensor under island mode
Estimate, can be improved the assessment accuracy of the industrial park micro-capacitance sensor isolated operation reliability containing EV charging station, improves micro-capacitance sensor
Operation stability and new energy receive ability, while being also beneficial to power grid to the United Dispatching of distributed generation resource.
As an implementation example of the invention, the energy storage device joint EV charging station that is proposed using the embodiment of the present invention with
The Fault Isolation Strategy after inside is broken down under power interactive tactics and micro-capacitance sensor island state between micro-capacitance sensor, to orphan
The operational reliability of micro-capacitance sensor is assessed under island.Specific estimation flow can be with are as follows:
1) parameter inputs, the initial value T=0 of setting simulation clock, and assumes that all elements are in normal operating conditions.
2) time between failures and fault correction time that each element in network is calculated separately according to formula (1), obtain
Time series table.
3) failure is enumerated.According to TfThe middle faulty fault correction time of institute is successively enumerated from small to large.
4) failure is analyzed, judges position of failure point and fault type, analyze the region influenced by failure.
5) micro-capacitance sensor operating analysis method and the Fault Isolation Strategy carry out Fault Isolation behaviour after the failure mentioned according to this paper
Make, determines the load influenced by failure.
6) operational application is carried out to the feeder zone after isolated fault, judges the power-balance shape of normal operation region
Condition, and EV charging station and microgrid power interactive tactics are combined according to energy storage device, it is determined whether load reduction need to be carried out, and really
Surely the load bus being cut in.
7) power off time of all loads under the influence of the failure is determined.
8) judge whether the failure is the last one failure given in total time, if it is not, then return step 3)；If so,
Then continue in next step.
9) the failure rate λ of each load point is calculatedi, mean down time ri, annual power off time UiEtc. reliabilities refer to
Mark.
10) according to every reliability index of the reliability index computing system of each load point.
The present embodiment innovation is proposed using sequential Monte Carlo algorithm to the micro-capacitance sensor isolated operation containing EV charging station
Reliability estimation method is that boundary will be micro- with switch when innovation proposes the garden micro-capacitance sensor isolated operation containing EV charging station
Power grid feeder zone is divided into the partition method of two-stage, and proposes the energy storage device charge and discharge in a kind of garden micro-capacitance sensor
Power calculation model.
The embodiment of the present invention is directed to the industrial park micro-capacitance sensor isolated operation mode containing EV charging station, special using sequential illiteracy
Carlow analogy method combines power interactive tactics and micro-capacitance sensor isolated island between EV charging station and micro-capacitance sensor according to energy storage device
The Fault Isolation Strategy after inside is broken down under state, comments the operational reliability of the garden micro-capacitance sensor under island mode
Estimate, can be improved the assessment accuracy of the industrial park micro-capacitance sensor isolated operation reliability containing EV charging station, improves micro-capacitance sensor
Operation stability and new energy receive ability, while being also beneficial to power grid to the United Dispatching of distributed generation resource.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Corresponding to micro-capacitance sensor isolated operation reliability estimation method described in foregoing embodiments, Fig. 5 shows of the invention real
The schematic diagram of the micro-capacitance sensor isolated operation reliability assessment device of example offer is provided.For ease of description, it illustrates only and this implementation
The relevant part of example.
Referring to Fig. 5, which includes obtaining module 51, processing module 52, the first computing module 53 and the second computing module
54。
Module 51 is obtained, for obtaining the failure rate of each element and fault restoration rate in micro-capacitance sensor, and according to each element
Failure rate and fault restoration rate calculate the time between failures and fault correction time of each element, obtain time series table.
Processing module 52, for strategy and default microgrid power interactive tactics to be isolated according to preset failure, respectively to institute
The operation conditions for stating micro-capacitance sensor after each element failure in time series table is analyzed, and determines micro- electricity after each failure occurs
The power off time of each load bus in netting；The default microdot net power interactive tactics is energy storage device, electronic vapour in micro-capacitance sensor
Vehicle charging station equipment and the united power interactive tactics of distributed generation resource.
First computing module 53, for calculating the reliability index of each load bus, the reliability index includes average
At least one of failure rate, mean down time, average power off time.
Second computing module 54, the reliability for calculating micro-grid system according to the reliability index of each load bus refer to
Mark.
Optionally, the acquisition module 51 is used for
The time between failures of each element are calculated according to the first calculation formula, the failure rate of each element and fault restoration rate
And fault correction time；First calculation formula are as follows:
TTFi1/ λ of=- (i)·lnu
TTRi1/ μ of=- (i)·lnu
Wherein, TTFiFor the time between failures of i-th of element, λiFor the failure rate of i-th of element；TTRiIt is i-th
The fault correction time of element, μiFor the fault restoration rate of i-th of element；U obeys equally distributed random between (0,1)
Number.
Optionally, the processing module 52 is used for:
Each element in the time series table is ranked up from small to large according to the fault correction time of each element；
Each element after successively choosing sequence is as the element to break down；
According to preset failure isolation strategy and default microgrid power interactive tactics, determine after each failure occurs in micro-capacitance sensor
The power off time of each load bus.
Optionally, the processing module 52 is used for:
For any failure, position of failure point, fault type and failure shadow of any failure in micro-capacitance sensor are determined
Ring region；
Fault Isolation processing is carried out to any failure according to preset failure isolation strategy, and is determined by any event
Hinder the load bus influenced；
According to default microgrid power interactive tactics, to the Fault Isolation, treated that micro-capacitance sensor operation conditions is divided
Analysis, determines power off time of each load bus under the influence of any failure in micro-capacitance sensor.
Optionally, the preset failure isolation strategy includes:
Corresponding the Fault Isolation Strategy is determined according to fault type；
If fault type be load area fault, will flow into failure load area electric current updrift side breaker or
Intelligent switch disconnects, and disconnects the disconnecting switch of failure influence area, be overlapped breaker and intelligent switch so that micro-capacitance sensor without reason
Hinder equipment to restore to operate normally；
If fault type is distributed generation resource failure, energy storage device failure or electric automobile charging station equipment fault, break
Open the intelligent switch being connected with trouble power；
If fault type is circuit branch road failure, the updrift side open circuit of the electric current of faulty line bypass region will be flowed into
Device or intelligent switch disconnect.
Optionally, the default microgrid power interactive tactics includes:
Determine the period locating for micro-capacitance sensor isolated operation；
Grid entry point exchanges power P when calculating micro-capacitance sensor isolated operationph(t)；
If Pph(t) > 0 and the period locating for micro-capacitance sensor isolated operation was the first period, then micro-capacitance sensor carries out energy storage device
Charging；If Pph(t) > 0 and the period locating for micro-capacitance sensor isolated operation was the second period, then micro-capacitance sensor is carried out to energy storage device first
Charging, when the carrying capacity in energy storage device reaches the first preset value SOCbat·sdOr Pph(t)-Pbat·ch·maxWhen > 0, to electronic
Electric car in vehicle charging station charges；
If Pph(t) < 0 and the period locating for micro-capacitance sensor isolated operation was the first period, then energy storage device carries out discharge operation；
If Pph(t) < 0 and the period locating for micro-capacitance sensor isolated operation is the third period, then micro-capacitance sensor sets electric automobile charging station first
It is standby to carry out discharge operation, work as Pph(t)+PEV·dis(t) < 0 so that energy storage device is participated in discharge operation when, work as Pph(t)+PEV·dis(t)+
Pbat·dis·maxLoad reduction is carried out to micro-capacitance sensor when < 0；
Wherein, Pbat·ch·maxFor the maximum charge power of energy storage device, Pbat·dis·maxFor the maximum electric discharge function of energy storage device
Rate, PEV·disIt (t) is the discharge power of electric automobile charging station equipment；
First period is the period that electric car is not involved in microgrid power interaction；Second period is electronic vapour
Vehicle participates in the period of microgrid power interaction in a charge mode；The third period is electric car with the micro- electricity of discharge mode participation
The period of net power interaction.
Optionally, the default microgrid power interactive tactics includes:
Establish the charge-discharge electric power computation model of energy storage device；The charge-discharge electric power computation model of the energy storage device includes
When the charge power computation model of the second period energy storage device, the discharge power computation model of the second period energy storage device, third
The section charge power computation model of energy storage device and the discharge power computation model of third period energy storage device；
The charge power computation model of the second period energy storage device are as follows:
The discharge power computation model of the second period energy storage device are as follows:
The charge power computation model of the third period energy storage device are as follows:
The discharge power computation model of the third period energy storage device are as follows:
Wherein, Pbat·disIt (t) is the discharge power of energy storage device, Pbat·chIt (t) is the charge power of energy storage device, SOCbat
It (t) is the state-of-charge of energy storage device.
The embodiment of the present invention is directed to the industrial park micro-capacitance sensor isolated operation mode containing EV charging station, special using sequential illiteracy
Carlow analogy method combines power interactive tactics and micro-capacitance sensor isolated island between EV charging station and micro-capacitance sensor according to energy storage device
The Fault Isolation Strategy after inside is broken down under state, comments the operational reliability of the garden micro-capacitance sensor under island mode
Estimate, can be improved the assessment accuracy of the industrial park micro-capacitance sensor isolated operation reliability containing EV charging station, improves micro-capacitance sensor
Operation stability and new energy receive ability, while being also beneficial to power grid to the United Dispatching of distributed generation resource.
Fig. 6 is the schematic diagram for the terminal device that one embodiment of the invention provides.As shown in fig. 6, the terminal of the embodiment is set
Standby 6 include: processor 60, memory 61 and are stored in the meter that can be run in the memory 61 and on the processor 60
Calculation machine program 62, such as program.The processor 60 realizes above-mentioned each embodiment of the method when executing the computer program 62
In step, such as step 101 shown in FIG. 1 is to 104.Alternatively, reality when the processor 60 executes the computer program 62
The function of each module/unit in existing above-mentioned each Installation practice, such as the function of module 51 to 54 shown in Fig. 5.
Illustratively, the computer program 62 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 61, and are executed by the processor 60, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 62 in the terminal device 6 is described.
The terminal device 6 can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The terminal device may include, but be not limited only to, processor 60, memory 61.It will be understood by those skilled in the art that Fig. 6
The only example of terminal device 6 does not constitute the restriction to terminal device 6, may include than illustrating more or fewer portions
Part perhaps combines certain components or different components, such as the terminal device can also include input-output equipment, net
Network access device, bus, display etc..
Alleged processor 60 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 61 can be the internal storage unit of the terminal device 6, such as the hard disk or interior of terminal device 6
It deposits.The memory 61 is also possible to the External memory equipment of the terminal device 6, such as be equipped on the terminal device 6
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, the memory 61 can also both include the storage inside list of the terminal device 6
Member also includes External memory equipment.The memory 61 is for storing needed for the computer program and the terminal device
Other programs and data.The memory 61 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium
It may include: any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic that can carry the computer program code
Dish, CD, computer storage, read-only memory (Read-Only Memory, ROM), random access memory (Random
Access Memory, RAM), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that the meter
The content that calculation machine readable medium includes can carry out increase and decrease appropriate according to the requirement made laws in jurisdiction with patent practice,
Such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and electricity
Believe signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of micro-capacitance sensor isolated operation reliability estimation method characterized by comprising
The failure rate and fault restoration rate of each element in micro-capacitance sensor are obtained, and according to the failure rate of each element and fault restoration rate meter
The time between failures and fault correction time for calculating each element, obtain time series table；
According to preset failure isolation strategy and default microgrid power interactive tactics, respectively to each member in the time series table
The operation conditions of micro-capacitance sensor is analyzed after part breaks down, and determines the power failure of each load bus in micro-capacitance sensor after each failure occurs
Time；The default microdot net power interactive tactics is energy storage device, electric automobile charging station equipment and distribution in micro-capacitance sensor
The united power interactive tactics of power supply；
Calculate the reliability index of each load bus；The reliability index includes failure rate, the mean down time, is averaged
At least one of power off time；
The reliability index of micro-grid system is calculated according to the reliability index of each load bus.
2. micro-capacitance sensor isolated operation reliability estimation method as described in claim 1, which is characterized in that described according to each element
Failure rate and fault restoration rate calculates the time between failures of each element and fault correction time includes:
Time between failures and the event of each element are calculated according to the first calculation formula, the failure rate of each element and fault restoration rate
Hinder repair time；First calculation formula are as follows:
TTFi1/ λ of=- (i)·lnu
TTRi1/ μ of=- (i)·lnu
Wherein, TTFiFor the time between failures of i-th of element, λiFor the failure rate of i-th of element；TTRiFor i-th of element
Fault correction time, μiFor the fault restoration rate of i-th of element；U obeys equally distributed random number between (0,1).
3. micro-capacitance sensor isolated operation reliability estimation method as described in claim 1, which is characterized in that the default event of the basis
Phragma is from strategy and default microgrid power interactive tactics, respectively to micro- after each element failure in the time series table
The operation conditions of power grid is analyzed, and determines that the power off time of each load bus in micro-capacitance sensor after each failure occurs includes:
Each element in the time series table is ranked up from small to large according to the fault correction time of each element；
Each element after successively choosing sequence is as the element to break down；
According to preset failure isolation strategy and default microgrid power interactive tactics, determine each negative in micro-capacitance sensor after each failure occurs
The power off time of lotus node.
4. micro-capacitance sensor isolated operation reliability estimation method as claimed in claim 3, which is characterized in that the default event of the basis
Phragma determines after each failure occurs in micro-capacitance sensor when the power failure of each load bus from strategy and default microgrid power interactive tactics
Between include:
For any failure, position of failure point, fault type and the failure zone of influence of any failure in micro-capacitance sensor are determined
Domain；
Fault Isolation processing is carried out to any failure according to preset failure isolation strategy, and is determined by any failure shadow
Loud load bus；
According to default microgrid power interactive tactics, to the Fault Isolation, treated that micro-capacitance sensor operation conditions is analyzed, really
Determine power off time of each load bus under the influence of any failure in micro-capacitance sensor.
5. micro-capacitance sensor isolated operation reliability estimation method as described in claim 1, which is characterized in that the preset failure every
Include: from strategy
Corresponding the Fault Isolation Strategy is determined according to fault type；
If fault type is load area fault, the updrift side breaker or intelligence of the electric current of failure load area will be flowed into
Switch disconnects, and disconnects the disconnecting switch of failure influence area, is overlapped breaker and intelligent switch so that micro-capacitance sensor fault-free is set
It is standby to restore to operate normally；
If fault type be distributed generation resource failure, energy storage device failure or electric automobile charging station equipment fault, disconnect with
The connected intelligent switch of trouble power；
If fault type be circuit branch road failure, will flow into faulty line bypass region electric current updrift side breaker or
Intelligent switch disconnects.
6. such as micro-capacitance sensor isolated operation reliability estimation method described in any one of claim 1 to 5, which is characterized in that described
Presetting microgrid power interactive tactics includes:
Determine the period locating for micro-capacitance sensor isolated operation；
Grid entry point exchanges power P when calculating micro-capacitance sensor isolated operationph(t)；
If Pph(t) > 0 and the period locating for micro-capacitance sensor isolated operation was the first period, then micro-capacitance sensor charges to energy storage device；
If Pph(t) > 0 and the period locating for micro-capacitance sensor isolated operation was the second period, then micro-capacitance sensor charges to energy storage device first,
When the carrying capacity in energy storage device reaches the first preset value SOCbat·sdOr Pph(t)-Pbat·ch·maxWhen > 0, electric car is filled
Electric car in power station charges；
If Pph(t) < 0 and the period locating for micro-capacitance sensor isolated operation was the first period, then energy storage device carries out discharge operation；If Pph
(t) < 0 and the period locating for micro-capacitance sensor isolated operation be the third period, then micro-capacitance sensor make first electric automobile charging station equipment into
Row discharge operation, works as Pph(t)+PEV·dis(t) < 0 so that energy storage device is participated in discharge operation when, work as Pph(t)+PEV·dis(t)+
Pbat·dis·maxLoad reduction is carried out to micro-capacitance sensor when < 0；
Wherein, Pbat·ch·maxFor the maximum charge power of energy storage device, Pbat·dis·maxFor the maximum discharge power of energy storage device,
PEV·disIt (t) is the discharge power of electric automobile charging station equipment；
First period is the period that electric car is not involved in microgrid power interaction；Second period be electric car with
Charge mode participates in the period of microgrid power interaction；The third period is electric car with discharge mode participation micro-capacitance sensor function
The period of rate interaction.
7. micro-capacitance sensor isolated operation reliability estimation method as claimed in claim 6, which is characterized in that the default micro-capacitance sensor
Power interactive tactics includes:
Establish the charge-discharge electric power computation model of energy storage device；The charge-discharge electric power computation model of the energy storage device includes second
The charge power computation model of period energy storage device, the discharge power computation model of the second period energy storage device, the storage of third period
It can the charge power computation model of equipment and the discharge power computation model of third period energy storage device；
The charge power computation model of the second period energy storage device are as follows:
The discharge power computation model of the second period energy storage device are as follows:
The charge power computation model of the third period energy storage device are as follows:
The discharge power computation model of the third period energy storage device are as follows:
Wherein, Pbat·disIt (t) is the discharge power of energy storage device, Pbat·chIt (t) is the charge power of energy storage device, SOCbat(t)
For the state-of-charge of energy storage device.
8. a kind of micro-capacitance sensor isolated operation reliability assessment device characterized by comprising
Module is obtained, for obtaining the failure rate of each element and fault restoration rate in micro-capacitance sensor, and according to the failure rate of each element
The time between failures and fault correction time that each element is calculated with fault restoration rate, obtain time series table；
Processing module, for strategy and default microgrid power interactive tactics to be isolated according to preset failure, respectively to the time
The operation conditions of micro-capacitance sensor is analyzed after each element failure in sequence table, is determined each in micro-capacitance sensor after each failure occurs
The power off time of load bus；The default microdot net power interactive tactics is energy storage device in micro-capacitance sensor, electric car charging
Station equipment and the united power interactive tactics of distributed generation resource；
First computing module, for calculating the reliability index of each load bus, the reliability index include failure rate,
At least one of mean down time, average power off time；
Second computing module, for calculating the reliability index of micro-grid system according to the reliability index of each load bus.
9. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 7 when executing the computer program
The step of any one the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of any one of such as claim 1 to 7 of realization the method.
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| CN110210777A (en) * | 2019-06-11 | 2019-09-06 | 上海电力学院 | A kind of distribution network reliability evaluation method containing micro-capacitance sensor and electric automobile charging station |
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| CN110176759A (en) * | 2019-04-02 | 2019-08-27 | 深圳供电局有限公司 | A kind of isolated network autonomy service ability appraisal procedure and device |
| CN110210777A (en) * | 2019-06-11 | 2019-09-06 | 上海电力学院 | A kind of distribution network reliability evaluation method containing micro-capacitance sensor and electric automobile charging station |
| CN110245858A (en) * | 2019-06-11 | 2019-09-17 | 上海电力学院 | A kind of micro-capacitance sensor reliability estimation method containing electric automobile charging station |
| CN110245858B (en) * | 2019-06-11 | 2022-06-10 | 上海电力学院 | Micro-grid reliability evaluation method with electric vehicle charging station |
| CN111682550A (en) * | 2020-06-18 | 2020-09-18 | 国网山东省电力公司德州供电公司 | Reliability evaluation method for power distribution network connected with high-permeability power supply and electric automobile |
| CN112053032A (en) * | 2020-08-05 | 2020-12-08 | 上海工程技术大学 | Micro-grid reliability evaluation method based on load change |
| CN113141025A (en) * | 2021-04-26 | 2021-07-20 | 河北工业大学 | Reliability evaluation method for island type alternating current-direct current hybrid micro-grid system containing EHS |
| CN113141025B (en) * | 2021-04-26 | 2022-11-25 | 河北工业大学 | Reliability evaluation method for island type alternating current-direct current hybrid micro-grid system containing EHS |
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