CN106780127A - Evaluation method containing distributed photovoltaic power distribution network - Google Patents
Evaluation method containing distributed photovoltaic power distribution network Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present invention relates to a kind of evaluation method containing distributed photovoltaic power distribution network, the method sets up the model of distribution network reliability containing distributed photovoltaic with AHP analytic approach；Using the n area reliability data collected, three layers of index in the model of distribution network reliability containing distributed photovoltaic are calculated using engineering statistics algorithm, and engineering statistics algorithm result of calculation is added into regional total load value and total number of users as BP neural network training sample input value, and reliability index is scored with fuzzy membership method as sample output valve, it is trained, obtains three layers of case library of index scoring；Using Satty rules, using relative weighting method, the weighted value between each layer index in reliability model is determined；Three layers of index engineering calculation value according to realistic objective system carry out goal systems reliability overall performane and calculate.The method can be complete and comprehensive calculating pre-arranged power failure reliability and economic and reliable index.
Description
The application is Application No.：201510289086.9, invention and created name is《The reliability of power distribution network containing distributed photovoltaic
Property evaluation method》, the applying date is：The divisional application of the application for a patent for invention on May 29 in 2015.
Technical field
The present invention relates to the reliability assessment technical field of power distribution network, more particularly to a kind of power distribution network containing distributed photovoltaic can
By property evaluation method.
Background technology
With developing rapidly for modern social economy, widely available, the user of high-tech product and advanced IT application equipment
The output value for often spending electricity increasingly rises, and it is increasing to the economic loss that user and society cause that unit stops delivery.Therefore, user
Requirement to power system power supply reliability also more and more higher.Distribution Power System Reliability is one of Power System Reliability important
Part, comments the distribution network reliability containing distributed photovoltaic that complete set is there is no in the research of distribution Power System Reliability at present
Valency model, existing theory analysis algorithm can't well calculate pre-arranged power failure reliability index, and theory analysis algorithm is fitted
For the Pre-Evaluation of electric network reliability index, and can only often calculate electric network fault power failure reliability index, it is impossible to calculate this
The pre- power failure reliability index that mesh is built in reliability model.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of complete and comprehensive and can calculate pre-arranged power failure reliability
With the evaluation method containing distributed photovoltaic power distribution network of economic and reliable index.
Realize that one of technical scheme of the object of the invention is to provide a kind of evaluation method for distribution network reliability, analyzed with AHP
Method sets up the model of distribution network reliability containing distributed photovoltaic；Using the n area reliability data collected, using engineering statistics
Algorithm calculates three layers of index in the model of distribution network reliability containing distributed photovoltaic, and engineering statistics algorithm result of calculation is added
Regional total load value and total number of users as BP neural network training sample input value, and with fuzzy membership method to reliability
Index is scored as sample output valve, is trained, and obtains three layers of case library of index scoring；Using Satty rules, adopt
Relative weighting method is used, the weighted value between each layer index in reliability model is determined；Three layers of index according to realistic objective system
Engineering calculation value carries out goal systems reliability overall performane and calculates.
Realize that the two of the technical scheme of the object of the invention is to provide a kind of evaluation method containing distributed photovoltaic power distribution network, wrap
Include following several steps：
1. the distribution network reliability evaluation model containing distributed photovoltaic is set up：AHP methods are used with containing distributed photovoltaic
The reliability of power distribution network is overall performane, and, used as first class index, failure is stopped for selection conventional reliability, economic and reliable, equipment performance
Electric conventional reliability, pre-arranged power failure conventional reliability, fault outage economic and reliable, pre-arranged power failure economic and reliable, change
Depressor performance, link performance are used as two-level index, user's mean failure rate frequency of power cut, user's mean failure rate power off time, user
Power failure average duration, failure power supply reliability, failure not enough power supply index, fault outage average user number, user are average
Have a power failure average duration, pre-arranged of pre-arranged frequency of power cut, the average pre-arranged power off time of user, pre-arranged is powered reliability
Rate, pre-arranged not enough power supply index, pre-arranged power failure average user number, the economic number of times of user's mean failure rate power failure, user are average
Power economic and reliable rate, fault outage of fault outage economic time, fault outage average economic duration, failure averagely lacks and supplies
Electricity, the economic number of times of the average pre-arranged power failure of user, the average pre-arranged power failure economic time of user, pre-arranged have a power failure average economical
Duration, pre-arranged power economic and reliable rate, pre-arranged have a power failure averagely scarce delivery, line outage rate, transformer therefore
Barrier outage rate, line outage average duration, transformer fault have a power failure average duration for three-level index；Fingers at different levels
It is subordinate relation between mark；
2. the calculation expression of three-level index in reliability evaluation model is determined：Three-level index calculating method is united using engineering
Calculating method；
3. three-level index standards of grading are set up：Three-level index standards of grading are set up using fuzzy membership method；
4. three-level index scoring case library is set up：Choose the n reliability statistics parameter in area, n>20, by construction calculation
Method obtains the engineering calculation value of three-level index, and score value is obtained by standards of grading；
5. goal systems three-level index is calculated：Statistics goal systems calculates what three-level index needed using engineering statistics algorithm
Data, the three-level desired value of goal systems is calculated by the expression formula in the table 1 that 2. step obtains；
6. goal systems three-level index is scored：According to goal systems three-level index calculated value, regional total load value,
Regional total number of users, equipment sum, according to three-level index scoring case library, export the three-level index score value of goal systems；
7. the weight between index in reliability evaluation model is determined：Each layer is set up using 1~9 scaling law of Satty to sentence
Disconnected matrix, is determined with the weight of each index of layer using relative weighting method；
8. goal systems reliability is evaluated：Using AHP methods, successively calculated upwards according to formula (1), obtain mesh
Mark system reliability overall performane comprehensive grading value：
In formula：S ' R represent the scoring of any non-bottom index；S'iRepresent the scoring of lower floor index i；WiRepresent lower floor's index
The weight of i；B represents index S ' lower floor's index number of R；Successively up calculated from basic unit's index scoring and Weight summation,
Top S ' R values are overall performane comprehensive grading value；According to reliability overall performane score value, goal systems reliability is commented
Valency.
Further, step 2. in, three-level index calculating method using engineering statistics algorithm specifically：Match somebody with somebody for a certain
Electric system set known parameters as：Total number of users N, unit are family, and general assembly varying capacity S, unit are MVA, total line length L, unit
It is km, total transformer number of units T, unit are platform；The three-level of distribution network reliability containing distributed photovoltaic is calculated using engineering statistics algorithm
The data of index needs statistics include：During distribution-free formula photovoltaic, fault outage number of times MF(MS), unit be secondary, failure is stopped each time
Electric time HFi(HSi), unit be h, each time fault outage number of users NFi(NSi), unit be family, each time fault outage load
Capacity PFi(PSi), unit be MWh and dress varying capacity SFi(SSi), unit be MVA, circuit, transformer fault number of times are respectively
MFL、MFT, ignore switch, circuit breaker failure situation, MFL+MFT=MF, circuit, transformer are stopped transport and total time are respectively HFL、HFT,When containing distributed photovoltaic, power failure load is all isolated island scope is outer, power failure loaded portion is in isolated island scope
Interior and power failure load fault outage number of times M all in the range of isolated islandFa、MFbAnd MFc(MFa+MFb+MFc=MF；MFaIt is corresponding
HFi、NFi、PFi、SFiValue is constant；MFcCorresponding HFi、NFi、PFi、SFiBe worth is 0；MFbCorresponding HFiIt is worth constant, NFi、PFi、SFiIt is changed into
N'Fi、PF'i、S'Fi)；Distribution network reliability three-level index engineering statistics algorithm expression formula containing distributed photovoltaic is as follows：
User's mean failure rate frequency of power cut AFTC'：
User's mean failure rate power off time AIHC-F'：
Fault outage average duration MID-F：
Failure power supply reliability RS-F'：
Failure not enough power supply index ENS-F'：
Fault outage average user number MIC-F：
The average pre-arranged frequency of power cut ASTC of user：
The average pre-arranged power off time AIHC-S of user：
Pre-arranged has a power failure average duration MID-S：
Pre-arranged power supply reliability RS-S：
Pre-arranged not enough power supply index ENS-S：
Pre-arranged power failure average user number MIC-S：
The economic number of times AFETC' of user's mean failure rate power failure：
User's mean failure rate power failure economic time AIEHC-F'：
The average economic duration MID-F of fault outage：Failure power through
Ji reliability ERS-F：
Fault outage averagely lacks delivery AENT-F：
The economic number of times ASETC of the average pre-arranged power failure of user：
The average pre-arranged power failure economic time AIEHC-S of user：
The average economic duration MIED-S of pre-arranged power failure：
Pre-arranged is powered economic and reliable rate ERS-S：
Pre-arranged has a power failure and averagely lacks delivery AENT-S：
Line outage rate RIFI-L：
Transformer fault outage rate RTFI-T：
Line outage average duration MDLOI-L：
Transformer fault has a power failure average duration MDTOI-T：
Further, 3., the process for setting up three-level index standards of grading using fuzzy membership method is specifically for step：
Typical case's scoring point is determined first, the three-level desired value in a certain scope is then quantified as typical case's scoring point, gradually form each three
Level index standards of grading.
Further, 4. specifically, the training sample of BP neural network is made up of step following part：Three-level index work
Journey calculated value constitutes the input value of BP neural network sample with the total number of users of regional total load value and area, uses fuzzy membership side
The result that method is scored reliability index provides form as the output valve of training sample：Sample input value；Sample is exported
Value；
(1) BP neural network number：
For conventional reliability, economic and reliable and equipment dependability are respectively adopted different BP networks；Constitute three class BP
Neutral net；
(2) the BP neural network number of plies：
BP neural network uses 3-tier architecture：Input layer+intermediate layer+output layer；
(3) each node layer number：
Three class BP neural networks each node layer number such as table 2,
Each node layer number of the class BP neural network of table 2 three
| BP neural network type | Input layer points number | Hidden layer node number | Output layer node number |
| Conventional reliability | 14 | 14 | 12 |
| Economic and reliable | 12 | 12 | 10 |
| Equipment performance | 5 | 5 | 4 |
Conventional reliability BP network sample input values：The total number of users in corresponding three-level index+area total load value+area；
Sample output valve：The fuzzy membership method score value of corresponding three-level index；
Economic and reliable BP network sample input values：The total number of users in corresponding three-level index+area total load value+area；
Sample output valve：The fuzzy membership method score value of corresponding three-level index；
Equipment performance BP network sample input values：Corresponding three-level index+equipment sum；Sample output valve：Corresponding three
The fuzzy membership method score value of level index；
(4) excitation function Sigmoid f (x)=1/ (1+e-x).
Further, step 4. in, three-level index score value is in [0,100] is interval.
Further, step comprising the following steps that 7.：(1) when index number is less than 3, its weight is directly true by expert
It is fixed；Index number is equal to or more than 3, will be two-by-two compared with layer index, obtains representing each finger using 1~9 scale of Saaty
Mark the judgment matrix of relative importance；
(2) the coincident indicator CR of judgment matrix, the test and judge matrix degree of consistency are calculated
(3) CR is worked as<When 0.10, Consistency Check in Judgement Matrix is qualified, calculates the Maximum characteristic root and correspondence of judgment matrix
Characteristic vector, the characteristic vector after normalized is the weight w of each index；If consistency check is unqualified, adjust again
Partial Elements in whole determination judgment matrix are until its consistency meets requirement.
Further, step 7. in, (2) calculate judgment matrix coincident indicator CR, test and judge matrix uniformity
Degree is comprised the following steps that：1) coincident indicator CI is calculated：
In formula：λmaxRepresent the Maximum characteristic root value of judgment matrix；A represents index number；
2) Aver-age Random Consistency Index RI is determined：
The Aver-age Random Consistency Index value be given by Saaty searches corresponding RI, such as table 3,
The Aver-age Random Consistency Index value that table 3Saaty is given
| a | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| RI | 0 | 0 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 |
3) consistency ration CR is calculated：
Further, step 8. in, reliability overall performane score value corresponding reliable property amount such as table 4：
The corresponding reliability level of the reliability overall performane score value of table 4
The present invention has positive effect：(1) evaluation method containing distributed photovoltaic power distribution network of the invention is to single
Integrity problem carries out Comprehensive Evaluation, and calculating individual failure reliability index, energy of the present invention are only introduced compared to existing method
Enough each reliability indexs of comprehensive inductive statistics.Although most of basic unit index has all had bright in reliability index standard
True definition, but also non-someone carries out overall merit according to these indexs to electric network reliability, the reliability model set up herein
Can be used for the reliability evaluation containing distributed photovoltaic power distribution network.
(2) evaluation method containing distributed photovoltaic power distribution network of the invention the index of each side is carried out again in detail distinguish and
Tissue, so that pass through present invention understands which three-level indicator deviation, which three-level index are partially excellent, in the future can be to skew component
Index carries out emphasis improvement.Institute's established model of the present invention is relatively complete and comprehensive, in distribution network reliability Comprehensive Appraisal Study and engineering
There are feasibility and reference significance in.
(3) evaluation method containing distributed photovoltaic power distribution network of the invention is calculated containing distributed light using engineering statistics algorithm
Volt distribution network reliability three-level bid, the literature research in terms of reliability index calculating typically uses theory analysis algorithm, but reason
It is applied to the Pre-Evaluation of electric network reliability index by parser, and can only often calculates electric network fault power failure reliability index,
The pre- power failure reliability index that this project is built in reliability model can not be calculated.Engineering statistics algorithm is by counting power network reality
Power failure data calculate reliability index value, and with calculating, simple, practicality is wide, result is accurate, can calculate pre-arranged power failure
The advantages of reliability and economic and reliable index, it is adaptable to the overall merit of distribution network reliability containing distributed photovoltaic.
Brief description of the drawings
Fig. 1 is the flow chart of the evaluation method containing distributed photovoltaic power distribution network of the invention.
Fig. 2 is the distribution network reliability evaluation model figure containing distributed photovoltaic.
Specific embodiment
(embodiment 1)
See Fig. 1, the general thought of the evaluation method containing distributed photovoltaic power distribution network of the present embodiment is built with AHP analytic approach
The vertical model of distribution network reliability containing distributed photovoltaic.Using the n area reliability data collected, using engineering statistics algorithm
The three layers of index (improved index calculating method) in the model of distribution network reliability containing distributed photovoltaic are calculated, and by engineering statistics
Algorithm result of calculation adds regional total load value and total number of users as BP neural network training sample input value, and is subordinate to fuzzy
Category degree method is scored reliability index as sample output valve, is trained, and obtains three layers of case library of index scoring.
Using Satty rules, using relative weighting method, the weighted value between each layer index in reliability model is determined.According to actual mesh
Three layers of index engineering calculation value of mark system carry out goal systems reliability overall performane and calculate.Specifically include following several steps：
1. the distribution network reliability evaluation model containing distributed photovoltaic is set up：Distribution network reliability containing distributed photovoltaic is commented
Valency model is as shown in Fig. 2 evaluation model construction method is as follows：AHP methods are used with the reliability of the power distribution network containing distributed photovoltaic
Property be overall performane, selection conventional reliability, economic and reliable, equipment performance as first class index, fault outage conventional reliability,
Pre-arranged power failure conventional reliability, fault outage economic and reliable, pre-arranged power failure economic and reliable, transformer performance, circuit
Performance as two-level index, user's mean failure rate frequency of power cut, user's mean failure rate power off time, user have a power failure average continuing when
Between, failure power supply reliability, failure not enough power supply index, fault outage average user number, the average pre-arranged frequency of power cut of user,
The average pre-arranged power off time of user, pre-arranged power failure average duration, pre-arranged power supply reliability, pre-arranged not enough power supply
Index, pre-arranged power failure average user number, user's mean failure rate have a power failure economic number of times, user's mean failure rate power failure economic time,
Power economic and reliable rate, fault outage of fault outage average economic duration, failure averagely lacks delivery, user and averagely pacifies in advance
The economic number of times of row's power failure, the average pre-arranged power failure economic time of user, pre-arranged power failure average economic duration, pre-arranged are supplied
Electric economic and reliable rate, pre-arranged have a power failure and averagely lack delivery, line outage rate, transformer fault outage rate, line fault
Power failure average duration, transformer fault have a power failure average duration for three-level index.It is subordinate relation between indexs at different levels.
2. the calculation expression of three-level index in reliability evaluation model is determined：Three-level index calculating method is united using engineering
Calculating method.Engineering statistics algorithm example：For a certain distribution system set known parameters as：Total number of users N (family), general assembly varying capacity
S (MVA), total line length L (km), total transformer number of units T (platform).Distribution containing distributed photovoltaic is calculated using engineering statistics algorithm
Net reliability three-level index needs the data of statistics including (in units of 1 year)：During distribution-free formula photovoltaic, failure (pre-arranged)
Frequency of power cut MF(MS) (secondary), each time failure (pre-arranged) power off time HFi(HSi) (h), each time failure (pre-arranged) power failure
Number of users NFi(NSi) (family), each time failure (pre-arranged) power failure load capacity PFi(PSi) (MWh) and dress varying capacity SFi
(SSi) (MVA), circuit, transformer fault number of times are respectively MFL、MFT(ignore switch, circuit breaker failure situation, MFL+MFT=MF),
Circuit, transformer are stopped transport and total time are respectively HFL、HFT When containing distributed photovoltaic, power failure load is complete
Portion is outside isolated island scope, power failure loaded portion is in the range of isolated island and power failure load fault outage all in the range of isolated island is secondary
Number MFa、MFbAnd MFc(MFa+MFb+MFc=MF。MFaCorresponding HFi、NFi、PFi、SFiValue is constant；MFcCorresponding HFi、NFi、PFi、SFiValue
It is 0；MFbCorresponding HFiIt is worth constant, NFi、PFi、SFiIt is changed into N'Fi、PF'i、S'Fi).Distribution network reliability three containing distributed photovoltaic
Level index engineering statistics algorithm expression formula is as shown in table 1：
Distribution network reliability three-level index engineering statistics algorithm expression formula of the table 1 containing distributed photovoltaic
I.e.：User's mean failure rate frequency of power cut AFTC'：
User's mean failure rate power off time AIHC-F'：
Fault outage average duration MID-F：
Failure power supply reliability RS-F'：
Failure not enough power supply index ENS-F'：
Fault outage average user number MIC-F：
The average pre-arranged frequency of power cut ASTC of user：
The average pre-arranged power off time AIHC-S of user：
Pre-arranged has a power failure average duration MID-S：
Pre-arranged power supply reliability RS-S：
Pre-arranged not enough power supply index ENS-S：
Pre-arranged power failure average user number MIC-S：
The economic number of times AFETC' of user's mean failure rate power failure：
User's mean failure rate power failure economic time AIEHC-F'：
The average economic duration MID-F of fault outage：Failure power through
Ji reliability ERS-F：
Fault outage averagely lacks delivery AENT-F：
The economic number of times ASETC of the average pre-arranged power failure of user：
The average pre-arranged power failure economic time AIEHC-S of user：
The average economic duration MIED-S of pre-arranged power failure：
Pre-arranged is powered economic and reliable rate ERS-S：
Pre-arranged has a power failure and averagely lacks delivery AENT-S：
Line outage rate RIFI-L：
Transformer fault outage rate RTFI-T：
Line outage average duration MDLOI-L：
Transformer fault has a power failure average duration MDTOI-T：
3. three-level index standards of grading are set up：Three-level index standards of grading are set up using fuzzy membership method.It is true first
Fixed typical case's scoring point, is then quantified as typical case's scoring point by the three-level desired value in a certain scope, gradually forms each three-level index
Standards of grading.
4. three-level index scoring case library is set up：Choose n (n>20) the reliability statistics parameter in individual area, by construction calculation
Method obtains the engineering calculation value of three-level index, and score value is obtained by standards of grading.Three-level index score value is interval in [0,100]
It is interior.
The training sample of BP neural network is made up of following part：Three-level index engineering calculation value and regional total load value and
Regional total number of users constitutes the input value of BP neural network sample, and reliability index is scored with fuzzy membership method
Result provides form as the output valve of training sample：Sample input value；Sample output valve.
(1) BP neural network number：
For conventional reliability, economic and reliable and equipment dependability are respectively adopted different BP networks.Constitute three class BP
Neutral net.
(2) the BP neural network number of plies：
BP neural network uses 3-tier architecture：Input layer+intermediate layer+output layer.
(3) each node layer number：
Three class BP neural networks each node layer number such as table 2.
Each node layer number of the class BP neural network of table 2 three
| BP neural network type | Input layer points number | Hidden layer node number | Output layer node number |
| Conventional reliability | 14 | 14 | 12 |
| Economic and reliable | 12 | 12 | 10 |
| Equipment performance | 5 | 5 | 4 |
Conventional reliability BP network sample input values：Corresponding three-level index+area total load value+area is always used in Fig. 1
Amount；Sample output valve：The fuzzy membership method score value of corresponding three-level index in Fig. 1.
Economic and reliable BP network sample input values：Corresponding three-level index+area total load value+area is always used in Fig. 1
Amount；Sample output valve：The fuzzy membership method score value of corresponding three-level index in Fig. 1.
Equipment performance BP network sample input values：Corresponding three-level index+equipment sum in Fig. 1；Sample output valve：Fig. 1
In corresponding three-level index fuzzy membership method score value.
(4) excitation function Sigmoid f (x)=1/ (1+e-x).
5. goal systems three-level index is calculated：Statistics goal systems calculates what three-level index needed using engineering statistics algorithm
Data, the three-level desired value of goal systems is calculated by the expression formula in the table 1 that 2. step obtains.
6. goal systems three-level index is scored：According to goal systems three-level index calculated value, regional total load value,
Regional total number of users, equipment sum, according to three-level index scoring case library, export the three-level index score value of goal systems.
7. the weight between index in reliability evaluation model is determined：Each layer is set up using 1~9 scaling law of Satty to sentence
Disconnected matrix, determines, with the weight of each index of layer, to comprise the following steps that using relative weighting method：
(1) when index number is less than 3, its weight is directly determined by expert；Index number is equal to or more than 3, will refer to layer
Mark is compared two-by-two, obtains being represented using 1~9 scale of Saaty the judgment matrix of each index relative importance.
(2) the coincident indicator CR of judgment matrix is calculated, the test and judge matrix degree of consistency, step is as follows：
1) coincident indicator CI is calculated：
In formula：λmaxRepresent the Maximum characteristic root value of judgment matrix；A represents index number.
2) Aver-age Random Consistency Index RI is determined：
The Aver-age Random Consistency Index value be given by Saaty searches corresponding RI, such as table 3,
The Aver-age Random Consistency Index value that table 3Saaty is given
| a | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| RI | 0 | 0 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 |
3) consistency ration CR is calculated：
(3) CR is worked as<When 0.10, Consistency Check in Judgement Matrix is qualified, calculates the Maximum characteristic root and correspondence of judgment matrix
Characteristic vector, the characteristic vector after normalized is the weight w of each index；If consistency check is unqualified, adjust again
Partial Elements in whole determination judgment matrix are until its consistency meets requirement.
8. goal systems reliability is evaluated：Using AHP methods, successively calculated upwards according to formula (1), obtain mesh
Mark system reliability overall performane comprehensive grading value：
In formula：S ' R represent the scoring of any non-bottom index；S'iRepresent the scoring of lower floor index i；WiRepresent lower floor's index
The weight of i；B represents index S ' lower floor's index number of R；Successively up calculated from basic unit's index scoring and Weight summation,
Top S ' R values are overall performane comprehensive grading value.
According to reliability overall performane score value, goal systems reliability is evaluated.
Reliability overall performane score value corresponding reliable property amount such as table 4：
The corresponding reliability level of the reliability overall performane score value of table 4
| Score value | 100~90 | 90~80 | 80~70 | 70~60 | <60 |
| Reliable property amount | It is excellent | It is good | In | Pass | Difference |
Obviously, above-described embodiment is only intended to clearly illustrate example of the present invention, and is not to of the invention
The restriction of implementation method.For those of ordinary skill in the field, it can also be made on the basis of the above description
The change or variation of its multi-form.There is no need and unable to be exhaustive to all of implementation method.And these belong to this hair
Obvious change that bright spirit is extended out or among changing still in protection scope of the present invention.
Claims (2)
1. a kind of evaluation method containing distributed photovoltaic power distribution network, it is characterised in that including following several steps：
1. the distribution network reliability evaluation model containing distributed photovoltaic is set up：AHP methods are used with the distribution containing distributed photovoltaic
The reliability of net is overall performane, and selection conventional reliability, economic and reliable, equipment performance are used as first class index, and fault outage is normal
Rule reliability, pre-arranged power failure conventional reliability, fault outage economic and reliable, pre-arranged power failure economic and reliable, transformer
Performance, link performance have a power failure as two-level index, user's mean failure rate frequency of power cut, user's mean failure rate power off time, user
Average duration, failure power supply reliability, failure not enough power supply index, fault outage average user number, user averagely pacify in advance
Row's frequency of power cut, the average pre-arranged power off time of user, pre-arranged have a power failure average duration, pre-arranged power supply reliability, pre-
Not enough power supply index, pre-arranged power failure average user number, the economic number of times of user's mean failure rate power failure, user's mean failure rate is arranged to stop
Electric economic time, fault outage average economic duration, failure power economic and reliable rate, fault outage averagely lack delivery,
The economic number of times of the average pre-arranged power failure of user, the average pre-arranged power failure economic time of user, pre-arranged have a power failure average economical lasting
Time, pre-arranged have a power failure averagely scarce delivery, line outage rate, transformer fault of economic and reliable rate, pre-arranged of powering stop
Electric rate, line outage average duration, transformer fault have a power failure average duration for three-level index；Indexs at different levels it
Between be subordinate relation；
2. the calculation expression of three-level index in reliability evaluation model is determined：Three-level index calculating method is calculated using engineering statistics
Method；
3. three-level index standards of grading are set up：Three-level index standards of grading are set up using fuzzy membership method；
4. three-level index scoring case library is set up：Choose the n reliability statistics parameter in area, n>20, obtained by Engineering Algorithm
The engineering calculation value of three-level index is obtained, score value is obtained by standards of grading；
5. goal systems three-level index is calculated：Statistics goal systems calculates the number that three-level index needs using engineering statistics algorithm
According to by the three-level desired value of the expression formula calculating goal systems in the table 1 that 2. step obtains；
6. goal systems three-level index is scored：According to goal systems three-level index calculated value, regional total load value, area
Total number of users, equipment sum, according to three-level index scoring case library, export the three-level index score value of goal systems；
7. the weight between index in reliability evaluation model is determined：Each layer is set up using 1~9 scaling law of Satty judge square
Battle array, is determined with the weight of each index of layer using relative weighting method；
8. goal systems reliability is evaluated：Using AHP methods, successively calculated upwards according to formula (1), obtain target system
System reliability overall performane comprehensive grading value：
In formula：S ' R represent the scoring of any non-bottom index；S'iRepresent the scoring of lower floor index i；WiRepresent lower floor index i's
Weight；B represents index S ' lower floor's index number of R；Successively up calculated from basic unit's index scoring and Weight summation, highest
Layer S ' R values are overall performane comprehensive grading value；According to reliability overall performane score value, goal systems reliability is evaluated；
And step 2. in, three-level index calculating method using engineering statistics algorithm specifically：Set for a certain distribution system
Know that parameter is：Total number of users N, unit are family, and general assembly varying capacity S, unit are MVA, and total line length L, unit are km, total transformation
Device number of units T, unit are platform；Calculating the three-level index of distribution network reliability containing distributed photovoltaic using engineering statistics algorithm needs statistics
Data include：During distribution-free formula photovoltaic, fault outage number of times MF(MS), unit be secondary, fault outage time H each timeFi
(HSi), unit be h, each time fault outage number of users NFi(NSi), unit be family, each time fault outage load capacity PFi
(PSi), unit be MWh and dress varying capacity SFi(SSi), unit be MVA, circuit, transformer fault number of times are respectively MFL、MFT,
Ignore switch, circuit breaker failure situation, MFL+MFT=MF, circuit, transformer are stopped transport and total time are respectively HFL、HFT,When containing distributed photovoltaic, power failure load is all isolated island scope is outer, power failure loaded portion is in isolated island scope
Interior and power failure load fault outage number of times M all in the range of isolated islandFa、MFbAnd MFc(MFa+MFb+MFc=MF；MFaIt is corresponding
HFi、NFi、PFi、SFiValue is constant；MFcCorresponding HFi、NFi、PFi、SFiBe worth is 0；MFbCorresponding HFiIt is worth constant, NFi、PFi、SFiIt is changed into
N'Fi、PF'i、S'Fi)；Distribution network reliability three-level index engineering statistics algorithm expression formula containing distributed photovoltaic is as follows：
User's mean failure rate frequency of power cut AFTC'：
User's mean failure rate power off time AIHC-F'：
Fault outage average duration MID-F '：
Failure power supply reliability RS-F'：
Failure not enough power supply index ENS-F'：
Fault outage average user number MIC-F '：
The average pre-arranged frequency of power cut ASTC of user：
The average pre-arranged power off time AIHC-S of user：
Pre-arranged has a power failure average duration MID-S：
Pre-arranged power supply reliability RS-S：
Pre-arranged not enough power supply index ENS-S：
Pre-arranged power failure average user number MIC-S：
The economic number of times AFETC' of user's mean failure rate power failure：
User's mean failure rate power failure economic time AIEHC-F'：
The average economic duration MID-F ' of fault outage：
Failure is powered economic and reliable rate ERS-F：
Fault outage averagely lacks delivery AENT-F '：
The economic number of times ASETC of the average pre-arranged power failure of user：
The average pre-arranged power failure economic time AIEHC-S of user：
The average economic duration MIED-S of pre-arranged power failure：
Pre-arranged is powered economic and reliable rate ERS-S：
Pre-arranged has a power failure and averagely lacks delivery AENT-S：
Line outage rate RIFI-L：
Transformer fault outage rate RTFI-T：
Line outage average duration MDLOI-L：
Transformer fault has a power failure average duration MDTOI-T：
2. a kind of evaluation method for distribution network reliability, it is characterised in that：Setting up power distribution network containing distributed photovoltaic with AHP analytic approach can
By property model；Using the n area reliability data collected, power distribution network containing distributed photovoltaic is calculated using engineering statistics algorithm
Three layers of index in reliability model, and engineering statistics algorithm result of calculation is added regional total load value and total number of users as
BP neural network training sample input value, and reliability index is scored with fuzzy membership method as sample output
Value, is trained, and obtains three layers of case library of index scoring；Using Satty rules, using relative weighting method, reliability is determined
Weighted value in model between each layer index；Three layers of index engineering calculation value according to realistic objective system carry out goal systems can
Calculated by overall performane.
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