CN105958486B - Consider the multi-period dynamic fault-recovery method of power distribution network of distributed generation resource power curve - Google Patents
Consider the multi-period dynamic fault-recovery method of power distribution network of distributed generation resource power curve Download PDFInfo
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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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
- 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]
Abstract
A kind of multi-period dynamic fault-recovery method of power distribution network for considering distributed generation resource power curve, distribution network failure Restoration model is usually to do static recovery to the condition at a moment, since the output of distributed generation resource (calling DG in the following text) is changing over time, it is unpractical that distribution network failure containing DG, which recovers on discontinuity surface to consider at one, the present invention is according to on-site actual situations, the fault recovery period is subjected to Time segments division according to the output situation of DG, optimal solution is tried to achieve within single period and finally obtains optimal fault recovery scheme in all the period of time, realize the multi-period dynamic fault-recovery of power distribution network for considering DG power curves.The present invention has taken into full account the output change of DG, it is proposed that the Emergency Control Strategy based on optimal fail-over path is combined on the basis of binary particle swarm algorithm is improved, solves the problems, such as the multi-period dynamic fault-recovery of power distribution network for considering DG power curves.
Description
Technical field
The invention belongs to power system automation technology field, is related to the fault recovery of power distribution network, specifically a kind of
Consider the multi-period dynamic fault-recovery method of power distribution network of DG power curves.
Background technology
The scales of modern power systems, capacity and coverage are increasing, occupy in national economy and people's lives
Critical role, fault outage can bring heavy losses to social production and people's lives, once the extensive fault outage of power distribution network occurs
The power supply of responsible consumer is influenced, may directly jeopardize the safety and stabilization of society.With distributed generation resource (calling DG in the following text) with
Application in electric system also becomes further feasible and conveniently, and that it changes traditional fault recovery model, it is necessary to by DG it is different when
Between section output change take into account.So the multi-period dynamic optimal fault recovery of power distribution network containing DG is made with prestissimo
Scheme, it is extremely urgent to improve power supply reliability.After distribution network failure occurs, fault recovery scheme can be made accurately and in time, it is extensive
Multiple non-faulting dead electricity load as much as possible, is of great significance for improving power supply reliability.
The target that distribution network failure containing DG recovers is to recover non-faulting dead electricity load as much as possible as early as possible, i.e., by other
Feeder line and DG, which are provided, to be turned to recover non-faulting dead electricity load for path.The research of the technical field is mainly based upon failure at present
The static failure of moment DG output situation recovers.Radial distribution networks Lu Zhi, which is obtained, on network reconfiguration just waits (Lu Zhigang, Yang Guo
It is good, Zhang Xiaohui, wait improve application [J] protecting electrical power system of the Binary Particle Swarm Optimization in Distribution Networks Reconfiguration with
Control, 2009,37 (7):30-34.) propose and improve binary particle swarm algorithm progress network reconfiguration.When being occurred based on failure
The main achievement for carving the static failure recovery of DG output situations is that Lu Zhi just waits (Lu Zhigang, Dong Yu perfume (or spice) matching somebody with somebody containing distributed generation resource
Electric network fault recovery policy [J] Automation of Electric Systems, 2007,31 (1)：89-92.) the fail-over policy proposed, considers
The difference of NBDG and BDG, but do not account for the output situation of change of DG；Chen Xin Yue etc. (Chen Xin Yue, Tang Wei, Chen Yu,
Deng based on distribution network failure recovery [J] the electric power network techniques of chance constrained programming containing photovoltaic generation, 2014,38 (1)：99-106.)
The discrete probabilistic model of photovoltaic generation power is constructed according to the probability density function of different periods intensity of illumination, but finally will
The output the convergence in probability of photovoltaic is a steady state value, have ignored photovoltaic in one day with intensity of illumination change and produce go out Reeb
It is dynamic；(Li Zhikeng, Wang Gang, Chen Zhigang, wait containing distributed power distribution network fault recoveries of the based on Interval Power Flow to calculate to Li Zhikeng etc.
Method [J] Automation of Electric Systems, 2011,35 (24)：" interval number " this concept 53-58.) is proposed to describe distributed electrical
The uncertainty of source output simultaneously considers the fault recovery in very short time based on this, but for its mould of long-time fault recovery
Type does not apply to simultaneously.Since various fault recovery models do not account for the actual conditions of DG output changes, so can not be real
Border applies to scene.
The content of the invention
It is an object of the invention to be improved to existing distribution network failure recovery policy, propose that a kind of consideration DG contributes
The multi-period dynamic fault-recovery method of power distribution network of curve.The application specifically uses following technical scheme：
Consider the multi-period dynamic fault-recovery method of power distribution network of distributed generation resource power curve, it is characterised in that：First
Failure recovery time is set according to fault condition, according to hop count during DG output situation setting recoveries, then using improvement binary system
Particle cluster algorithm carries out network reconfiguration, obtains radial distribution networks, the Emergency Control Strategy based on optimal fail-over path is to every
The radial grid structure of a generation carries out cutting load operation, using enumerate combined method by the optimal recovery scheme of each single period into
Row combination, draws the minimum scheme of switching manipulation number, is the multi-period dynamic fault-recovery method of power distribution network.
Consider that the multi-period dynamic fault-recovery method of power distribution network of distributed generation resource power curve specifically includes following steps：
Consider the multi-period dynamic fault-recovery method of power distribution network of distributed generation resource power curve, recover in distribution network failure
During, include distribution network failure Restoration model using distributed generation resource power generating value as negative load；It is characterized in that, the side
Method comprises the following steps：
Step 1：After power distribution network breaks down, setting fault recovery duration and recovery period sum T, are established with minimum total damage
Object function is wanted based on mistake load, the distribution network failure Restoration model that minimal switches number of operations is by-end function, i.e.,
Distribution network failure recovery scheme meets main target function first, and time syllabus is just considered when main target functional value is identical
Scalar functions, model is included in the distribution network failure Restoration model using distributed generation resource power generating value as negative load, will be extensive
The initial value of multiple period sequence number t assigns 1 (initially recovering the period)；
Step 2：Input the node load matrix of power distribution network, branch impedance matrix, incidence matrix, failure and moment and extensive occurs
The multiple time, calculate whether the power distribution network after failure judgement needs cutting load using repeated power flow, be to make cutting load sign of flag
=1, otherwise make Flag=0；
Step 3：To unlink to power distribution network looped network agent structure, the identical multiple connected branches of effect are equivalent to merge into branch
Group；Make iterations k=1；
Step 4：Branch not in looped network agent structure is put 1 by force, i.e., should in distribution network failure Restoration model
Branch switch closes, and initializes population, and the value respectively tieed up with particle represents the on off state of respective branch in power distribution network, and particle should
Dimension value disconnects for the 0 i.e. branch switch, and the particle dimension value is 1 i.e. branch switch closure；
Step 5：The power distribution network weight after failure is carried out based on the Sigmoid functional values improved in binary particle swarm algorithm
Structure, obtains radial distribution networks；
Step 6：Judge to obtain radial distribution networks with the presence or absence of the out-of-limit branch of electric current by step 5, when there is no electricity
Out-of-limit branch is flowed, enters step 7；
When branch out-of-limit there are electric current, return to step 5 is random according to what is regenerated if cutting load sign of flag is 0
Count particle rapidity and Sigmoid functional values after being updated, repeat step 5-6；If cutting load sign of flag is 1, use
Each tree network carries out cutting load operation in the radial distribution networks network that the Emergency Control Strategy of setting generates step 5, then
7 are entered step, wherein, the tree network refers to the network of every bussed supply in radial distribution networks；
Step 7：The optimal extreme value of individual optimal extreme value and colony in particle cluster algorithm is updated according to least disadvantage load
And iterations k=k+1 is made, repeat step 5-7, reaches maximum iteration kmaxAfterwards, present period distribution network failure is drawn most
Excellent recovery scheme, at this time, " position of the particle of least disadvantage load ", i.e. distribution network failure is obtained according to the optimal extreme value of colony
The topological structure of optimal recovery scheme；
Step 8：Hop count recovers the period sequence number t=t+1 when order recovers, and repeat step 5-7, stops when t is more than T,
Obtain the optimal recovery scheme of distribution network failure of each period；, will be each according to the by-end function of minimal switches number of operations
The optimal recovery scheme of single period carries out enumerating combination, when to draw the minimum excision scheme of switching manipulation number be that power distribution network is more
The best approach of section dynamic fault-recovery.
The application further comprises following preferred solution：
In step 1, the output change of DG is considered in distribution network failure Restoration model, fault recovery is divided into more
Period dynamic model.
In steps of 5, the iterative formula of improvement binary particle swarm algorithm speed is：
In formula,Respectively i-th particle d ties up the speed in the n-th generation and the (n+1)th generation, and ω is inertial factor, c1
And c2For Studying factors, r1And r2For the random number on [0,1], PibestFor the individual optimal extreme value of i-th of particle, GbestFor group
The optimal extreme value of body,The value in the n-th generation is tieed up for i-th of particle d；
The position that particle is respectively tieed up is together decided on by Sigmoid functional values and equivalent branch group, the optimization of equivalent branch,
Sigmoid functions are：
Wherein,Representing Sigmoid functional values, e is natural constant,The speed in the n-th generation is tieed up for i-th of particle d
Degree；
In step 6, when being 0 there are the out-of-limit branch of electric current and cutting load sign of flag, return to step 5 regenerate with
Machine number r1And r2And speed is drawn againWith Sigmoid functional values, based on after renewal Sigmoid functional values carry out failure after
Power distribution network reconfiguration, obtain radial distribution networks.
In step 6, when being 1 there are the out-of-limit branch of electric current and cutting load sign of flag, using extensive based on optimal failure
The Emergency Control Strategy in path carries out the load excision of the out-of-limit branch of electric current again, recovers tree for one, finds its all event first
Hinder restoration path, then by all fail-over path whole write switch archives, the traversal combination switched, selects optimal
Fail-over path；Wherein recover tree to refer to using the upstream node of out-of-limit branch as root node, downstream traversal search is to all
Leaf node, the topological network of formation.
In step 6, it is preferred to use following strategy carries out load excision：
(1) the more limitation X of the out-of-limit branch of electric current in tree network is calculated；
(2) using the upstream node of out-of-limit branch as root node, downstream traversal search to all leaf nodes, forms topology
Network, referred to as recovers tree；From each leaf node tr for recovering tree trend.iUpward outbound search respectively, until searching niSection
Point, makes leaf node trend.iTo niThe sum of load exceed the X that more limits the quantity, i-th failure that this path is known as recovering tree tr is extensive
Multiple path；
(3) branch between each switch i.e. node on fail-over path is arranged according to the node level size of its upstream node
Sequence Write fault restoration path switchs archives, once switch control load exceedes all loads quilt on more limitation or this path
The archives write-in for writing then this path terminates, and starts to write the switch archives of a fail-over path, until all fault recoveries
The switch archives in path all write；Wherein, the node level of root node is 1, and child node level is sequentially arranged；
(4) when taking cut-out load aggregation, whether switch control load of the switch archives per paths end is first looked at
More than more limiting the quantity, alternative excision scheme is classified as and by this switch from file delet is switched if more than then will be switched off this switch, otherwise
Without delete operation；
(5) traversal switched combines, and a switch is at most disconnected in every fail-over path, if alternative excision side
There are same switch in case then to leave out one of them；If there are relationship between superior and subordinate, by subordinate's switch from alternative excision scheme
Delete, if having cut off distributed generation resource in alternative excision scheme, carry out isolated island division and powered by distributed generation resource for load
And cut-out load will be included in by the load of distributed generation resource power supply in amount of recovery, that is, isolated island division；
(6) selection excision load is more than the sequence that each alternative excision scheme more limited the quantity carries out excision load, selection
The scheme of wherein cutting load amount minimum is optimal fail-over path；
It may be such that excision load is minimum whether there is to cut off certain distributed generation resource, selection does not cut off this point
Cloth power supply.
The present invention has technique effect beneficial below：
(1) consider distributed generation resource with the output of time to change, establish multi-period dynamic fault-recovery model, meet
The actual requirement of live operation；(2) Emergency Control Strategy based on optimal fail-over path is proposed, can be to including DG's
Radiate shape power distribution network and carry out accurate cutting load operation, obtain optimal excision scheme.
Brief description of the drawings
Fig. 1 is the flow chart for the multi-period dynamic fault-recovery method of power distribution network that the present invention considers DG power curves；
The distribution network line figure that Fig. 2 is up；
Fig. 3 is that Fig. 2 median generatrixes 101 break down, breaker S1And S2Distribution network line figure during disconnection；
Fig. 4 is photovoltaic generation whole day day part maximum output curve map；When Fig. 5 is lead-acid accumulator and each diesel-driven generator
Section maximum output curve map；
Fig. 6 is a recovery tree graph in example；
Wherein, black filled circle is node load in Fig. 2, and square represents breaker, and solid is closure state, hollow to be
Off-state, DG1For lead accumulator group, DG2、DG4For photovoltaic generating system, DG3、DG5For diesel generating set.DG's supplies electric energy
Power is as shown in Figure 4 and Figure 5.Branch 3-4,8-10,15-16,15-20,6-23,9-25 and 14-27 are disconnected during normal operation.
Embodiment
The content of invention is described further below with reference to attached drawing and example.
1 example load of table
As shown in Fig. 2, branch switch 3-4,8-10,15-16,15-20,6-23,9-25 and 14- during power distribution network normal operation
27 disconnect, load 1,2,3,7,8 and 9 by busbar 101 breaker S1Control power supply；Load 10,11,12,13,14 and 15 is by mother
The breaker S of line 1012And DG4Control power supply；Load 4,5,6,20,21 and 22 is by 102 breaker S of busbar3Control power supply；Load
16th, 17,18 and 19 by 103 breaker S of busbar4And DG2Control power supply, the load of each load are as shown in table 1.When such as Fig. 3 busbares
101 in the morning 9 points break down, breaker S1And S2During disconnection, using the power distribution network of consideration DG power curves disclosed by the invention
Multi-period dynamic fault-recovery method, includes the following steps (as shown in Figure 1)：
Step 1：After power distribution network breaks down, fault recovery duration is set and according to distributed generation resource according to fault condition
Hop count T during output prediction curve setting recovery, is established and object function, minimal switches operation is wanted based on minimum total losses load
Number (meets main target function, in main target functional value first for the distribution network failure Restoration model of by-end function
By-end function is just considered when identical), distributed generation resource power generating value is made in the distribution network failure Restoration model
Model is included for negative load, the initial initial value for recovering period t is assigned 1；
In embodiments herein, failure recovery time is set as 5 hours, as Fig. 4 for photovoltaic generation whole day it is each when
Section maximum output curve map, i.e., photovoltaic generating system DG in example2And DG4In the output situation of whole day day part；Fig. 5 is plumbic acid
Storage battery and diesel-driven generator day part maximum output curve map, wherein solid line represent lead-acid batteries DG1Continuous work 7 is small
When within day part maximum output curve map, dotted line represents diesel generating set DG3And DG5Day part within when continuous work 7 is small
Maximum output curve map；According to the output situation of distributed generation resource, we will be divided into five periods, each period recovery time
One hour；
Step 2：Input the node load matrix of power distribution network, branch impedance matrix, incidence matrix, failure and moment and extensive occurs
The basic datas such as multiple time, calculate whether the power distribution network after failure judgement needs cutting load using repeated power flow, are, order is cut negative
Lotus sign of flag=1, otherwise makes Flag=0；
Input example power distribution network node load matrix, branch impedance matrix, incidence matrix, input fault occur the moment be
In 9 points of morning, when recovery time 5 is small, uses repeated power flow to calculate judging result to need cutting load, make Flag=1；
Step 3：To unlink to power distribution network looped network agent structure, the identical multiple connected branches of effect are equivalent to merge into branch
Group；Make iterations k=1；
The branch switch is closed in distribution network failure Restoration model, merges the equivalent branch group of ring network structure：Branch
1-2,2-3,3-4,4-5,5-20,15-20,11-15,10-11,8-10,7-8,1-7 merge into a branch group, branch 15-
16th, 16-18,18-19,19- busbar 103 merges into a branch group, and branch 20-21,21-22,22- busbar 102 merges into one
A branch group；Make iterations k=1；
Step 4：Branch not in looped network agent structure is put 1 by force, i.e., should in distribution network failure Restoration model
Branch switch closes, and initializes population, and the value respectively tieed up with particle represents the on off state of respective branch in power distribution network, and particle should
Dimension value disconnects for the 0 i.e. branch switch, and the particle dimension value is 1 i.e. branch switch closure；
By branch 5-6,6-23 not on ring network structure, 11-12,12-13,12-14,13-26,14-27,17-18,
17-24 puts 1 by force；Initialize population：Maximum iteration k is setmax1 is assigned for 100, k initial values, inertial factor ω takes 1,
Studying factors c1And c2Take 2；
Step 5：The power distribution network weight after failure is carried out based on the Sigmoid functional values improved in binary particle swarm algorithm
Structure, obtains radial distribution networks；
The power distribution network reconfiguration after failure is carried out based on the Sigmoid functional values improved in binary particle swarm algorithm, is obtained
Radial distribution networks；
(1) particle initial velocity and position are set, calculate the Sigmoid functional values of each particle, selects looped network agent structure
In the branch 1-7 of functional value minimum of branch Sigmoid set to 0, by other branches 1-2,2-3 of branch group where it, 3-4,
4-5,5-20,15-20,11-15,10-11,8-10,7-8 put 1 by force；
(2) disconnected branches group is taken out, the branch unrelated with remaining ring network structure after taking-up disconnected branches group is put 1 by force
(remaining looped network agent structure refers to take out disconnected branches group after, the cyclic structures after remaining all switch closures), from remaining
Looped network main body branch in select Sigmoid functional value minimum branch (being herein branch 15-20) disconnect, by its place branch
Other branches of group put 1, are left all branches without looped network at this time and all put 1；
(3) repeat step (2) is until 2 branch groups of disconnection, generate radial distribution networks structure：Branch switch 1-7,15-
20 disconnect；
Step 6：Judge to obtain radial distribution networks with the presence or absence of the out-of-limit branch of electric current by step 5, when there is no electricity
Out-of-limit branch is flowed, enters step 7；
Length is limited, exemplified by only lifting the first period and the 5th period：
I.e. 9. -10 point of first period, is disconnected branches according to improving binary particle swarm algorithm to obtain radiation grid structure
1-7 and 15-20, all branch currents are not out-of-limit at this time；
I.e. 13. -14 point of 5th period, radiation grid structure is obtained as disconnection branch according to binary particle swarm algorithm is improved
Road 1-7 and 15-20, the out-of-limit branch of electric current are 22- busbares 102.It will be appreciated by those skilled in the art that setting any type cut it is negative
Lotus strategy can realize the technical solution of the application.The embodiment of the present application preferably introduces following two Emergency Control Strategies, but needs
It is noted that the following two Emergency Control Strategies introduced are intended merely to help reader to more fully understand present invention essence
God, rather than to the present invention even limitation of claim.The application lists following two specific Emergency Control Strategies, and first
Kind Emergency Control Strategy is that the Emergency Control Strategy based on optimal fail-over path comprises the following steps：
(1) the more limitation X of out-of-limit branch in radiation network is calculated；
It is 26A that 5th period branch 22- busbar 102, which is more limited the quantity,；
(2) using the upstream node of out-of-limit branch as root node, downstream traversal search to all leaf nodes, forms topology
Network, referred to as recovers tree；From each leaf node t for recovering tree tend.iUpstream deep search is distinguished, until searching ni
Node, makes leaf node tend.iTo niThe sum of load exceed the X that more limits the quantity, i-th failure that this path is known as recovering tree t is extensive
Multiple path；
Recover tree graph and see Fig. 6：Its first fail-over path is DG1, node 6 and node 5, Article 2 fault recovery road
Footpath is node 1 and node 2；
(3) branch between each switch i.e. node on fail-over path is arranged according to the node level size of its upstream node
Sequence Write fault restoration path switchs archives, once switch control load exceedes all loads quilt on more limitation or this path
The archives write-in for writing then this path terminates, and starts to write the switch archives of a fail-over path, until all fault recoveries
The switch archives in path all write；Wherein, the node level of root node is 1, and child node level is sequentially arranged；
Switching archives is：(amount in bracket expresses this branch switch control load)
(4) when taking cut-out load aggregation, whether switch control load of the switch archives per paths end is first looked at
More than more limiting the quantity, alternative excision scheme is classified as and by this switch from file delet is switched if more than then will be switched off this switch, otherwise
Without delete operation；
Switch control load of the switch archives per paths end more limits the quantity and respectively less than more limits the quantity, so without switch from switch
File delet；
(5) traversal switched combines, and a switch is at most disconnected in every fail-over path, if alternative excision side
There are same switch in case then to leave out one of them；If there are relationship between superior and subordinate, by subordinate's switch from alternative excision scheme
Delete, if having cut off DG in alternative excision scheme, it is load power supply to carry out isolated island division i.e. by DG, and by amount of recovery, that is, isolated island
Cut-out load is included in by the DG load powered in division；
Do not enumerate herein, exemplified by only taking typical case：
Scheme 3：Path 1 disconnects switch 5-6, and path 2 disconnects switch 2-1, and reality cuts off load 1 and load 6, common 58A (DG
It can not carry out isolated island division, amount of recovery 0)；
If the selection of path 1 disconnection switch 20-5, the selection of path 2 disconnect switch 2-1, then since 20-5 is the upper of switch 2-1
Level switch, 2-1 is left out from operation scheme, leaves behind 20-5；
(6) selection excision load is more than the sequence that the scheme more limited the quantity carries out excision load, selection wherein cutting load
Minimum scheme is measured, is optimal fail-over path；
Excision load minimum remains DG for scheme 2 and scheme 3, scheme 21, feeder line current-carrying nargin is improved, so
It is scheme 2 to select optimal excision scheme；
Cutting load mode of second of Emergency Control Strategy using preferential excision close to load of more limiting the quantity, including herein below：
(1) the more limitation X of out-of-limit branch in radiation network is calculated；
It is 26A that 5th period branch 22- busbar 102, which is more limited the quantity,；
(2) search obtains all end load nodes, finds load closest to the load excision more limited the quantity；
End load is 23 (DG of load 1 and load1), its load is respectively 25A and -20A, and selection is closest more to limit the quantity
The load 1 of (26A) is cut off；
(3) renewal more limitation and end load node, repeat step (2), until more limiting the quantity less than 0, cutting load operation knot
Beam；
More limitation is updated to 1A, and end load node updates be load 2 and load 23, its load be respectively 30A with-
20A, selection excision load 23；More limitation is updated to 21A, and end load node updates are load 2 and load 6, and load is distinguished
For 30A and 33A, load 2 is selected to cut off, more limitation is updated to -9A, and cutting load operation terminates, disconnected branches 6-23,1-2,2-
3；
Step 7：The optimal pole of individual optimal extreme value and colony in particle cluster algorithm is updated according to minimum total losses load
It is worth and makes iterations k=k+1, repeat step 5-7, reaches maximum iteration kmaxAfterwards, present period distribution network failure is drawn
Optimal recovery scheme, at this time, obtains " position of the particle of least disadvantage load " according to the optimal extreme value of colony, i.e. power distribution network event
Hinder the topological structure of optimal recovery scheme；
The optimal extreme value of the optimal extreme value of more new individual and colony；K=k+1, the speed of particle is updated repeatedly according to formula
In generation, repeat step 5 and 7, stops after reaching maximum iteration, draws optimal recovery scheme of single period, i.e. disconnected branches 1-2,
2-3、1-7、15-20；
Step 8：Hop count t=t+1, repeat step 5-7 when order recovers, stop when t is more than T, obtain each period
The optimal recovery scheme of distribution network failure；It is optimal extensive by each single period according to the by-end function of minimal switches number of operations
Compound case carries out enumerating combination, and it is the multi-period dynamic fault-recovery of power distribution network to draw the minimum excision scheme of switching manipulation number
The best approach.
It is as follows to obtain most recovery scheme：
Example given above not makees in any form the present invention to illustrate the present invention and its practical application
Limitation, any one professional and technical personnel in the range of without departing from technical solution of the present invention, according to above technology and
Method makees certain modification and change when the equivalent embodiment for being considered as equivalent variations.
Claims (6)
1. considering the multi-period dynamic fault-recovery method of power distribution network of distributed generation resource power curve, recovered in distribution network failure
Cheng Zhong, distribution network failure Restoration model is included using distributed generation resource power generating value as negative load；It is characterized in that, the method
Comprise the following steps：
Step 1：After power distribution network breaks down, setting fault recovery duration and recovery period sum T, are established and are born with minimum total losses
Object function is wanted based on lotus amount, the distribution network failure Restoration model that minimal switches number of operations is by-end function, i.e. distribution
Net fault recovery scheme meets main target function first, and by-end letter is just considered when main target functional value is identical
Number, includes model, during by recovering in the distribution network failure Restoration model using distributed generation resource power generating value as the load born
The initial value of section sequence number t assigns 1；
Step 2：When inputting node load matrix, branch impedance matrix, incidence matrix, failure generation moment and the recovery of power distribution network
Between, calculate whether the power distribution network after failure judgement needs cutting load using repeated power flow, be to make cutting load sign of flag=1,
Otherwise Flag=0 is made；
Step 3：To unlink to power distribution network looped network agent structure, the identical multiple connected branches of effect are equivalent to merge into branch group；Order
Iterations k=1；
Step 4：Branch not in looped network agent structure is put 1 by force, i.e., by the branch in distribution network failure Restoration model
Switch closure, initializes population, and the value respectively tieed up with particle represents the on off state of respective branch in power distribution network, the particle dimension value
Disconnected for the 0 i.e. branch switch, the particle dimension value is 1 i.e. branch switch closure；
Step 5：The power distribution network reconfiguration after failure is carried out based on the Sigmoid functional values improved in binary particle swarm algorithm, is obtained
To radial distribution networks；
Improve binary particle swarm algorithm speed iterative formula be：
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<mi>c</mi>
<mn>1</mn>
</msub>
<msup>
<msub>
<mi>r</mi>
<mn>1</mn>
</msub>
<mi>n</mi>
</msup>
<mrow>
<mo>(</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>i</mi>
<mi>b</mi>
<mi>e</mi>
<mi>s</mi>
<mi>t</mi>
</mrow>
</msub>
<mo>-</mo>
<msubsup>
<mi>x</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>d</mi>
</mrow>
<mi>n</mi>
</msubsup>
<mo>)</mo>
</mrow>
<mo>+</mo>
<msub>
<mi>c</mi>
<mn>2</mn>
</msub>
<msup>
<msub>
<mi>r</mi>
<mn>2</mn>
</msub>
<mi>n</mi>
</msup>
<mrow>
<mo>(</mo>
<msub>
<mi>G</mi>
<mrow>
<mi>b</mi>
<mi>e</mi>
<mi>s</mi>
<mi>t</mi>
</mrow>
</msub>
<mo>-</mo>
<msubsup>
<mi>x</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>d</mi>
</mrow>
<mi>n</mi>
</msubsup>
<mo>)</mo>
</mrow>
</mrow>
In formula,Respectively i-th particle d ties up the speed in the n-th generation and the (n+1)th generation, and ω is inertial factor, c1And c2
For Studying factors, r1And r2For the random number on [0,1], PibestFor the individual optimal extreme value of i-th of particle, GbestFor colony most
Excellent extreme value；
The position that particle is respectively tieed up is together decided on by Sigmoid functional values and equivalent branch group, the optimization of equivalent branch,
Sigmoid functions are：
<mrow>
<mi>S</mi>
<mrow>
<mo>(</mo>
<msubsup>
<mi>v</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>d</mi>
</mrow>
<mi>n</mi>
</msubsup>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>(</mo>
<mo>-</mo>
<msubsup>
<mi>v</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>d</mi>
</mrow>
<mi>n</mi>
</msubsup>
<mo>)</mo>
</mrow>
</msup>
<mo>)</mo>
</mrow>
</mfrac>
<mo>;</mo>
</mrow>
Wherein,Representing Sigmoid functional values, e is natural constant,The speed in the n-th generation is tieed up for i-th of particle d；
Step 6：Judge to obtain radial distribution networks with the presence or absence of the out-of-limit branch of electric current by step 5, to be got over when there is no electric current
Branch is limited, enters step 7；
When branch out-of-limit there are electric current, return to step 5 is obtained according to the random number regenerated if cutting load sign of flag is 0
Particle rapidity and Sigmoid functional values after to renewal, repeat step 5-6；If cutting load sign of flag is 1, using setting
The radial distribution networks network that is generated to step 5 of Emergency Control Strategy in each tree network carry out cutting load operation, subsequently into
Step 7, wherein, the tree network refers to the network of every bussed supply in radial distribution networks；
Step 7：The optimal extreme value of individual optimal extreme value and colony in particle cluster algorithm is updated according to least disadvantage load and is made
Iterations k=k+1, repeat step 5-7, reaches maximum iteration kmaxAfterwards, show that present period distribution network failure is optimal extensive
Compound case, at this time, obtains " position of the particle of least disadvantage load ", i.e., distribution network failure is optimal according to the optimal extreme value of colony
The topological structure of recovery scheme；
Step 8：Order recovers period sequence number t=t+1, and repeat step 5-7, stops when t is more than T, obtain matching somebody with somebody for each period
The optimal recovery scheme of electric network fault；According to the by-end function of minimal switches number of operations, by the optimal recovery of each period
Scheme carries out enumerating combination, and it is the multi-period dynamic fault-recovery of power distribution network to draw the minimum excision scheme of switching manipulation number
The best approach.
2. the power distribution network multi-period dynamic fault-recovery side according to claim 1 for considering distributed generation resource power curve
Method, it is characterised in that：
In step 1, the output change of DG is considered in distribution network failure Restoration model, fault recovery is divided into multi-period
Dynamic model.
3. the power distribution network multi-period dynamic fault-recovery side according to claim 2 for considering distributed generation resource power curve
Method, it is characterised in that：
In step 6, when being 0 there are the out-of-limit branch of electric current and cutting load sign of flag, return to step 5 regenerates random number
r1And r2And speed is drawn againWith Sigmoid functional values, based on after renewal Sigmoid functional values carry out failure after
Power distribution network reconfiguration, obtains radial distribution networks.
4. the power distribution network multi-period dynamic fault-recovery side according to claim 1 for considering distributed generation resource power curve
Method, it is characterised in that：
In step 6, when being 1 there are the out-of-limit branch of electric current and cutting load sign of flag, using based on optimal fault recovery road
The Emergency Control Strategy in footpath carries out the load excision of the out-of-limit branch of electric current, recovers tree for one, and it is faulty extensive to find its institute first
Multiple path, then by all fail-over path whole write switch archives, the traversal combination switched, selects optimal failure
Restoration path；Wherein recover tree to refer to using the upstream node of out-of-limit branch as root node, downstream traversal search to all leaves
Node, the topological network of formation.
5. the multi-period dynamic fault-recovery of power distribution network of the consideration distributed generation resource power curve according to claim 1 or 4
Method, it is characterised in that：
In step 6, load excision is carried out using following strategy：
(1) the more limitation X of the out-of-limit branch of electric current in tree network is calculated；
(2) using the upstream node of out-of-limit branch as root node, downstream traversal search to all leaf nodes, forms topological network
Network, referred to as recovers tree；From each leaf node tr for recovering tree trend.iUpward outbound search respectively, until searching niNode,
Make leaf node trend.iTo niThe sum of load exceed the X that more limits the quantity, this path is known as i-th fault recovery for recovering tree tr
Path；
(3) branch between each switch i.e. node on fail-over path is write according to the node level size sequence of its upstream node
Enter fail-over path switch archives, be written into once switch control load exceedes all loads on more limitation or this path
Then the archives write-in in this path terminates, and starts to write the switch archives of a fail-over path, until all fail-over paths
Switch archives all write；Wherein, the node level of root node is 1, and child node level is sequentially arranged；
(4) when taking cut-out load aggregation, first look at whether switch control load of the switch archives per paths end is more than
More limit the quantity, if more than then will be switched off this switch be classified as alternative excision scheme and by this switch from switch file delet, otherwise not into
Row delete operation；
(5) traversal switched combines, and a switch is at most disconnected in every fail-over path, if in alternative excision scheme
There are same switch then to leave out one of them；If there are relationship between superior and subordinate, subordinate's switch is deleted from alternative excision scheme,
If having cut off distributed generation resource in alternative excision scheme, progress isolated island division is powered for load by distributed generation resource and will be extensive
Cut-out load is included in by the load of distributed generation resource power supply in complexor, that is, isolated island division；
(6) selection excision load is more than the sequence that each alternative excision scheme more limited the quantity carries out excision load, and selection is wherein
The scheme of cutting load amount minimum is optimal fail-over path.
6. the power distribution network multi-period dynamic fault-recovery side according to claim 5 for considering distributed generation resource power curve
Method, it is characterised in that：
In the scheme of (6) step cutting load amount minimum, excision load is may be such that whether existing and cutting off certain distributed generation resource
Minimum situation is measured, selection does not cut off the distributed generation resource.
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| CN106655155B (en) * | 2016-10-12 | 2023-02-28 | 中国农业大学 | Power distribution network fault recovery method considering uncertainty of fault recovery time |
| CN107066639B (en) * | 2016-10-25 | 2020-07-28 | 贵州电网有限责任公司六盘水供电局 | Regional power grid fault loss consequence calculation method based on topology analysis |
| CN106684862A (en) * | 2016-12-15 | 2017-05-17 | 国网黑龙江省电力有限公司 | Method of searching distribution network load transfer path based on greedy algorithm |
| CN107341591B (en) * | 2017-06-15 | 2020-06-05 | 国网浙江省电力公司嘉兴供电公司 | Intelligent statistical analysis system and method for substation warning information |
| CN108199371A (en) * | 2018-01-03 | 2018-06-22 | 燕山大学 | A kind of active distribution network failure Dynamic- Recovery policy development method based on VCG |
| CN108574289A (en) * | 2018-03-13 | 2018-09-25 | 浙江大学 | A kind of related piconet island operation based on central controlled staged frequency modulation method |
| CN108985561B (en) * | 2018-06-08 | 2021-09-07 | 天津大学 | Active power distribution network island division method based on opportunity constraint |
| CN110350510B (en) * | 2019-05-23 | 2023-04-28 | 国网河南省电力公司郑州供电公司 | Power distribution network power supply recovery method considering fault influence degree |
| CN110729770B (en) * | 2019-10-24 | 2022-07-29 | 北京交通大学 | Active power distribution network load fault recovery strategy optimization algorithm |
| CN111200286B (en) * | 2020-02-13 | 2021-04-06 | 东方电子股份有限公司 | Intelligent power supply recovery method for self-healing of power distribution network |
| CN112485587B (en) * | 2020-11-11 | 2024-04-19 | 国网福建省电力有限公司宁德供电公司 | Layered positioning method for fault section of distribution network containing distributed photovoltaic |
| CN112711895B (en) * | 2020-12-30 | 2022-08-23 | 上海电机学院 | Power distribution network reconstruction method based on time interval division and improved particle swarm algorithm |
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