CN107017622A - The multiple faults multiple target of distribution containing DG combined optimization repairing recovery policy is asked for - Google Patents
The multiple faults multiple target of distribution containing DG combined optimization repairing recovery policy is asked for Download PDFInfo
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- CN107017622A CN107017622A CN201710236876.XA CN201710236876A CN107017622A CN 107017622 A CN107017622 A CN 107017622A CN 201710236876 A CN201710236876 A CN 201710236876A CN 107017622 A CN107017622 A CN 107017622A
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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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- 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
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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]
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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
- 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
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- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
Asked for the invention discloses a kind of multiple faults multiple target of distribution containing DG combined optimization repairing recovery policy, it is related to field of power, power distribution network multiple faults rapid rush-repair and service restoration containing distributed power source are a strategies with very strong interim, level and succession, at present, it is the separated progress of single fault, single phase, single level that the research recovered to network distributing failure emergency repair is most of, rarely have to multiple faults stage by stage, layering multiple target joint repairing recovery and optimization strategy conducts a research.The present invention is equivalent to virtual DG to the feeder line in the distribution containing DG first, to controllable burden alliance, updates network topology structure；Then, to multiple faults rush to repair with recover carry out stage by stage, bilevel optimization model build；Finally, joint Optimized model is solved, obtains optimal rapid rush-repair recovery policy.This invention shortens power off time, reduces loss of outage, improve the quality of power supply with very strong practical value.
Description
Technical field
The invention belongs to electric power system protection and control field, carried out for occurring multiple faults containing distributed power distribution network
Stage by stage, layering multiple target combined optimization repairing recovery policy is asked for.
Background technology
Continuing and reliably supplying for electric power is the necessary condition for maintaining the normal production and living of people.Power distribution network is used as conveying electricity
The important step of energy, directly influences the power supply quality to user.According to statistics, in domestic power outage 80% above is by distribution
Caused by net failure.Especially distributed power source (DG) access power distribution network after, system network architecture becomes increasingly complex, to
The rapidity and high efficiency that power system restoration is powered propose new challenge.Therefore, when multiple faults occurs for the power distribution network containing DG, how
Fast recovery of power supply is particularly important.Document《Based on repairing strategy after the power distribution network calamity for improving discrete multiple target BCC algorithms》
The Optimized model that distribution network failure repairing and fault recovery are combined after calamity is established, and regard interconnection switch as virtual faults point
Processing, but it is more single to the content of fault recovery in model.《Power distribution network multiple faults is rushed to repair and service restoration combined optimization mould
Type》The repairing of power distribution network multiple faults and the combined optimization model recovered are proposed, but to rushing to repair the solving model of sequential optimization problem
Relatively simple, amount of calculation is larger.Distribution network failure is rushed to repair and service restoration is alternately to carry out stage by stage, step by step, the two both phase
To independence, but it is mutually coordinated, it is a very complicated process.At present, based on the thoery of dynamic programming, it is considered to which distribution network failure is rushed to repair
With the relevance of service restoration, set up the power distribution network multiple faults containing DG stage by stage, layering multiple target joint repairing and recovery and optimization
The research of strategy is seldom.When the research is for realizing that multiple faults occurs for Complicated Distribution Network, realize that efficiently repairing and reduction have a power failure comprehensive
Closing economic loss has great importance.
The content of the invention
(1) technical problem
Single with recovering content for the repairing of current distribution network failure, model is simple, does not consider repairing with recovering mutual
The problems such as influence, the present invention propose it is a kind of containing distributed power distribution network occur multiple faults carry out stage by stage, layering multiple target
Combined optimization rushes to repair recovery policy acquisition methods.
(2) technical scheme
At present, study with engineering practice, more to distribution network failure repairing and recovery is to be directed to generation single failure,
Some simple target function and do not consider distributed power source cooperateed with major network optimization situation carry out model foundation, ask for optimal
Repairing and recovery policy.Such strategy has limitation, it is impossible to solves complicated distribution multiple faults well quickly, efficiently rushes to repair
Recover.The present invention propose it is a kind of containing distributed power distribution network occur multiple faults carry out stage by stage, layering multiple target joint repairing
Recovery and optimization strategy acquisition methods, this method simplifies network topology structure, has mainly done following letter first by equivalent transformation
Change：1. feeder line equivalent-simplification, into virtual DG, is that feeder line below and DG complex optimums provide convenient 2. basis in distribution network system
Load, is divided into controllable and uncontrollable by the controllability of load, and controllable burden alliance, Jin Ershi are conveniently realized in repairing Restoration stage
Existing sub-load is recovered and cut off, and improves repairing and recovers efficiency 3. for there is contact between two failures in non-equal branch road
Switch, and the spare capacity of interconnection switch can recover the dead electricity load of any branch trouble, you can with standby each other, so
Two at failure can be equivalent to failure at one, repairing and can carry out stage by stage when recovering；Then each failure is all used
In two stages, it is modeled for two layers, sets up existing simple repairing recovery and optimization model, there is the multiple target combined optimization of complexity again
Model；Finally just solved using the algorithm for being adapted to power distribution network repairing recovery feature and mathematical modeling, ask for optimal rapid rush-repair
Recover multiple faults distribution strategy.
(3) beneficial effect
When the present invention is solved containing distributed power distribution network generation multiple faults, repairing and recovery efficiency are low, mixed economy
The problem of loss is higher.
Brief description of the drawings
Fig. 1 is the specific implementation flow chart (algorithm overview flow chart) of the present invention；
Fig. 2 is that feeder line is equivalent to virtual DG；
Fig. 3 is controllable burden alliance isoboles；
Fig. 4 is that the power distribution network multiple faults internal layer repairing containing DG solves flow chart with recovering；
Fig. 5 is that the power distribution network multiple faults outer layer repairing containing DG solves flow chart with recovering.
Embodiment
With reference to structural representation figure and embodiment, the embodiment to the present invention is described further.Below
Embodiment is merely to illustrate the present invention, but is not limited to the scope of the present invention.
Optimisation strategy as shown in figure asks for flow chart.
The present invention comprises the following steps：
1) the power distribution network multiple faults network reduction containing DG and feeder line
First, when multiple faults occurs for the power distribution network containing DG and feeder line, feeder line is equivalent to the DG of equivalence, distribution network systems just letter
The system containing only distributed power source and switch is melted into, breakdown repair and recovery policy research are carried out under same model.According to feedback
Line recovers dead electricity load, it is determined that model such as Fig. 2 after virtual DG capacity, equivalent process.
2) power distribution network controllable burden alliance
When multiple faults occurs for power distribution network containing DG, by DG can recover in the range of controllable burden and uncontrollable load classification,
Controllable burden carries out alliance, and some or all of recovery of controllable burden, controllable burden alliance are carried out according to DG power supply capacity
Isoboles such as Fig. 3, wherein 2,4,6,8 be controllable burden, 1,3,5,7 be uncontrollable load.
3) specific fault is equivalent
For there is interconnection switch between two failures in non-equal branch road, and the spare capacity of interconnection switch can be with extensive
The dead electricity load of multiple any branch trouble, you can with standby each other, failure can be equivalent to failure at one at such two.
4) constraints and inside and outside layer target function model of each stage
4.1) constraints
1) radial structure：
gk∈GkIn formula：gkFor current power distribution network operating structure；GkFor all radial structure running situations of power distribution network
Set.
2)Il≤IlmaxL=1,2 ..., n
In formula：IlTo flow through circuit l electric current；IlmaxFor the maximum current for the l for flowing through circuit；N is number of, lines.
3) node voltage is constrained：
Uimin≤Ui≤UimaxI=1,2 ..., m
In formula：UiminAnd UimaxRespectively lower and upper limit of node voltage；M is number of nodes.
4) DG units limits：
PDGcmin≤PDGc≤PDGcmaxC=1,2 ..., NDG
In formula：NDGFor DG sums；PDGcmin, PDGc, PDGcmaxThe respectively c-th DG upper limit of actually exerting oneself and its exert oneself
And lower limit.
5) interconnection switch spare capacity is constrained：
In formula：DjThe dead electricity load bus set caused for j-th of failure, j=1,2 ..., M；SkBefore fault recovery
The trend of kth bar branch road, k=1,2 ..., Nbf, wherein NbfFor interconnection switch to the circuitry number between power supply point；For kth bar
The rated capacity of branch road.
6) emergency power generation vehicle is constrained：
pe≤pemax
In formula：peFor actually exerting oneself for emergency power generation vehicle e；pemaxFor emergency power generation vehicle e EIAJ.
4.2) first and second stage inside and outside layer target function model
First stage, the multiple faults of power distribution network containing DG stage by stage, layering multiple target joint repairing recovery and optimization model in, internal layer
Optimized model is using load restoration Maximum Value as object function；Outer layer Optimized model is then combined most with network loss and switch motion number of times
Small is object function.
1) the internal layer Optimized model of first stage：
2) the outer layer Optimized model of second stage
Min H=α floss+βfbreak
Wherein kiIt is powered for load bus i electriferous state, 1,0 is dead electricity；piFor load bus i load, wiIt is negative
In the important level weight of lotus node i, the present invention, first order load takes 3, and two stage loads take 2, and three stage loads take 1；D is j-th of rank
The dead electricity load bus set of section repairing fault recovery；floss、fbreakRespectively each stage breakdown repair recovers network loss and switch
Action frequency, normalized during calculating, α, β are respectively the weight factor of correspondence index, α>β, α, β ∈ [01], the present invention
Take α=0.8, β=0.3；SbFor switch set after failure；TbFor failure preceding switch set；KiRepresented to switch i quantity of state, 0
Disconnect, 1 represents closure；O is total number of switches.
Second stage, the multiple faults of power distribution network containing DG stage by stage, layering multiple target joint repairing recovery and optimization model in, internal layer
Optimized model is using loss minimization as object function；Outer layer Optimized model is most short for object function with emergency repair time.
1) the internal layer Optimized model of first stage：
2) the outer layer Optimized model of second stage：
minf4(x)={ T1,T2,…,TN-M}
In formula, z is the set of all branch roads in power distribution network；IiFor branch road i electric current；RiFor branch road i resistance；TiFor
The emergency repair time of i-th of failure；N-M is the failure sum do not repaired.ωi、ωlRespectively load bus i, l important level power
Weight.TjIt is fixed according to existing repairing support technique level to recover unit important load required time.
5) multiple faults of power distribution network containing DG stage by stage, layering multiple target joint repairing recovery and optimization model solution, obtain repairing
With recovery policy
5.1) DG isolated islands division principle
When the present invention solves optimal multiple faults repairing with recovery policy, it is necessary to make full use of DG to come, recovered part is important to be born
Lotus, makes full use of distributed power source, improves repairing and recovers efficiency.Isolated island division principle of the present invention is as follows：1. consider all have
The interconnection of effect, when interconnection is not present path with power distribution network main power source, but exist and DG path when, load can be drawn
Assign in isolated island；2. meeting in isolated island on the premise of total load is no more than DG total power generating capacities, making isolated island comprising as many as possible
Firsts and seconds load；3. selection of trying one's best forms that isolated island number is less, switch motion number of times is less, and micro battery in isolated island
The off-the-line scheme for trying one's best small with load power difference；4. when the intersecting situation of two isolated islands of appearance, if one can be merged into
Big islet operation, then merge, and is meeting on DG volumetric basis, adds new load, otherwise nonjoinder；5. searched using depth-first
During rope strategy, if searching both sides has the identical load for recovering value, but when can not recover all dead electricity loads simultaneously, herein
Using load importance grade as evaluation index, the preferential power supply for recovering important load.
5.2) first and second stage of the power distribution network multiple faults internal layer recovery policy containing DG, which is solved, obtains
Multiple faults power distribution network network topology structure is initialized first, the iteration time of ant colony initiation parameter and algorithm is set
Number；Then to whether judging have and then utilize step 1 in network containing feeder line) in method it is equivalent, obtain virtual DG maximum appearance
The parameters such as amount, the judgement of algorithm iteration number of times are not directly entered then, until reaching that iterations just exports the optimal of first stage
Recovery policy, is not reaching to iterations and just carries out calling for algorithm submodule.This stage is divided to two submodule realizations, and one piece is
DG is not in ant group optimization branch road, and the function that this block is realized is that the isolated island containing DG is divided, and is realized using depth-first search principle
Dead electricity load is powered, and the isolated island scheme is just obtained for what no isolated island was overlapped；If there is coincidence between isolated island, need, examine
Consider isolated island and merge and add new load, in the premise of isolated island division principle, form isolated island partition strategy；It is excellent in ant colony for DG
When changing in branch road, i.e., DG is incorporated into the power networks, and realizes recovery and optimization strategy, is here second module.Second module is with containing DG
First and second stage of power distribution network multiple faults internal layer recover object function be objective optimization ask for optimisation strategy, the tactful realization
Flow such as Fig. 4.
1) the internal layer Optimized model of first stage：
1) the internal layer Optimized model of second stage：
Each parameter represents meaning and is described in 4.2) in object function, and the result of asking for of object function needs to verify constraint
Whether condition meets, and meets just qualified, is unsatisfactory for giving up.
So one cycle can just realize an isolated island splitting scheme and meet the major network recovery side of internal layer optimization aim
Case, reaches that iterations just exports optimal recovery policy.
5.3) multiple faults of distribution containing DG was divided to for two stages megastage, and inside and outside layer multiple target combined optimization repairing recovery policy is asked
Take
Outer layer Optimized model is on the basis of internal layer recovery policy, to solve optimal repairing order, and the present invention uses DBCC
Optimized algorithm, realizes multiple target combined optimization, it is necessary to carry out multiple reconstruction calculations to breakdown repair and service restoration.Matching somebody with somebody containing DG
In the repairing of power network multiple faults and Restoration model, internal layer Optimized model is to optimize the target of oneself on the basis of outer layer Optimized model
Function, the result of decision of outer layer Optimized model is influenceed by internal layer Optimized model fail-over policy again.The present invention uses DBCC
Optimized algorithm, realizes that multiple target joint coordination optimizes to breakdown repair and service restoration, solves optimal repairing order, repairing with it is extensive
Coordination optimization flow such as Fig. 5 is closed in multiple-series.
The invention uses DBCC optimized algorithms using the present invention, and multiple target joint association is realized to breakdown repair and service restoration
Tuning, solves optimal repairing order.First, the iterations of algorithm is set, by removing some independent failure branch roads come simple
Change network topology, initialize bacterial population, according to flow shown in 5.2) carry out the first stage, internal layer repairing recovery and rebuilding, obtain
The trouble point recovered to isolated island splitting scheme and major network repairing, that is, the network topology updated.On the basis of such topological structure
With network loss and switch motion number of times joint minimum target function, it is determined that above having determined that the repairing for the trouble point for needing to rush to repair is suitable
Sequence.
Wherein object function：Min H=α floss+βfbreak
4.1) constraints be
Obtain after repairing order, according to flow shown in 5.2) carry out the first stage, internal layer repairing recovery and rebuilding, obtain orphan
The trouble point that island splitting scheme and major network repairing recover, that is, the network topology updated.By judging whether dead electricity load is completely extensive
It is multiple to power to determine whether the first stage terminates.Repairing recovers under the network topology structure basis that end is formed in the first stage,
Repairing into second stage recovers, and repairing recovers the trouble point for the first stage not rushing to repair recovery.First carry out the interior of second stage
Layer optimisation strategy, draws the repairing trouble point of the remaining failure after a stage.
Wherein loss minimization is object function：
4.1) constraints be
The outer layer optimization of second stage is realized on the basis of superincumbent, object function is：
min f4(x)={ T1,T2,…,TN-M}
4.1) constraints be
Above so step just completes the multiple faults of distribution containing DG and was divided to for two stages megastage, inside and outside layer multiple target joint is excellent
Change repairing recovery policy once to ask for, then recycle, until reaching that bacterial population sets iterations, export last whole
The strategy that individual repairing recovers.Do not consider that multiple target combination and cooperation optimizes with other multiple faults, isolated island is to cooperate with optimization with major network,
Rush to repair compared with recovering the alternately optimisation strategy of dynamic optimization etc., the survey strategy has significant effect.
Embodiment of above is merely to illustrate the present invention, rather than limitation of the present invention, about the common skill of technical field
Art personnel, without departing from the spirit and scope of the present invention, can also make a variety of changes and modification, therefore all etc.
Same implementer's case falls within the protection category of the present invention.
Claims (6)
1. the multiple faults multiple target of distribution containing DG combined optimization repairing recovery policy is asked for, it is characterised in that comprised the following steps：
(1) feeder line equivalent-simplification, into virtual DG, is that feeder line below and DG complex optimums provide convenient in distribution network system；
(2) according to the controllability of load, load is divided into controllable and uncontrollable, controllable burden is conveniently realized in repairing Restoration stage
Alliance, and then part load restoration and excision are realized, improve repairing and recover efficiency；
(3) for there is interconnection switch between two failures in non-equal branch road, and the spare capacity of interconnection switch can be with extensive
The dead electricity load of multiple any branch trouble, you can with standby each other, failure can be equivalent to failure at one at such two, rob
It can be carried out stage by stage when repairing and recovering；
(4) to each failure all using in two stages, it is modeled for two layers, sets up existing simple repairing recovery and optimization model,
There is the multiple target combined optimization model of complexity again；
(5) just solved using the algorithm for being adapted to power distribution network repairing recovery feature and mathematical modeling, ask for optimal rapid rush-repair extensive
Multiple multiple faults distribution strategy.
2. the multiple faults of distribution containing distributed power source according to claim 1 stage by stage, layering multiple target joint repairing recover
Optimisation strategy is asked for, it is characterised in that the step 1) feeder line equivalent-simplification is into virtual DG in distribution network system, according in system
The capability information obtaining maximum capacity that restores electricity of feeder line, feeder line is equivalent into DG, the islet operation strategy below ask in
Original DG participates in trend, every optimizing index and calculated in the lump, and complex optimum is carried out to this two classes resource under same model.
3. the multiple faults of distribution containing distributed power source according to claim 1 stage by stage, layering multiple target joint repairing recover
Optimisation strategy is asked for, it is characterised in that the step 2) according to the controllability of load, load is divided into controllable and uncontrollable,
The amount of excision load is determined according to DG capacity, in the case where uncontrollable load ensures power supply, how controllable burden is carried out
Dynamic alliance, obtains optimal isolated island partition strategy.
4. the multiple faults of distribution containing distributed power source according to claim 1 stage by stage, layering multiple target joint repairing recover
Optimisation strategy is asked for, it is characterised in that the step 3) for there is interconnection switch between two failures in non-equal branch road,
And the spare capacity of interconnection switch is when can recover the dead electricity load of any branch trouble, failure can be equivalent at one at two
Failure, can be standby each other when repairing stage by stage recovers this failure at two, as long as failure can just recover two at repairing one
All dead electricity loads are powered caused by trouble point, and the spare capacity for taking full advantage of interconnection switch is powered repairing recovery.
5. the multiple faults of distribution containing distributed power source according to claim 1 stage by stage, layering multiple target joint repairing recover
Optimisation strategy is asked for, it is characterised in that the step 4) in each failure all using in two stages, be modeled for two layers,
Rush repair and Restoration stage, i.e. first stage, internal layer are object function to the maximum with load restoration total amount, and outer layer is with network loss and opens
Close the minimum object function of action frequency combined optimization to be modeled, ask for repairing recovery order；In repairing and Restoration stage, i.e.,
Second stage, internal layer is using loss minimization as object function, and outer layer sets up model so that emergency repair time is most short for object function, asks for robbing
Recovery order is repaiied, while first stage and second stage have the relation influenceed each other again, second stage is excellent in the first stage
Optimized under network topology after change, second stage result can also influence the decision-making of first stage, so Optimized model here
It is alternately to coordinate repairing to recover with thinking, while influence each other, decision-making.
6. the multiple faults of distribution containing distributed power source according to claim 1 stage by stage, layering multiple target joint repairing recover
Optimisation strategy is asked for, it is characterised in that the step 5) it is middle using the calculation for being adapted to power distribution network repairing recovery feature and mathematical modeling
Method is solved, and asks for optimal multiple faults distribution repairing recovery policy, wherein, the mould recovered in the first layer repairing in two stages
During type is solved, introduce controllable burden confederation method and preferentially recover important load, using depth-first search and improvement ant group algorithm
The method Optimization Solution being combined, obtains optimal recovery and rebuilding strategy under different target function；In the second layer in two stages
Multiple faults is rushed to repair with being the solving model that different target is set up on the basis of first layer recovery policy in Restoration model solution,
Solve optimal repairing order.Using DBCC Algorithm for Solving breakdown repair and recovery Coordination and Optimization Model, model solution needs multiple
Multiple faults recovery routine module above is called, the optimization mould of this layer of this stage is carried out again after reconstruct obtains network topology structure
Type is solved, with very strong dynamic scalability and logicality.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109004639A (en) * | 2018-06-30 | 2018-12-14 | 南京理工大学 | Power distribution network switched-mode power supply recovery policy optimization method based on complete distributed algorithm |
| CN109617132A (en) * | 2018-12-12 | 2019-04-12 | 国网江苏省电力有限公司电力科学研究院 | Promote resource distribution and the network reconfiguration optimization method of elastic distribution network restoration power |
| CN110474368A (en) * | 2019-08-08 | 2019-11-19 | 广东工业大学 | DG secondary distribution net black starting-up network element recovery sequence hierarchy optimization method |
| CN111026008A (en) * | 2019-12-16 | 2020-04-17 | 上海宏力达信息技术股份有限公司 | Intelligent switch first-aid repair method and system based on ant colony algorithm |
| CN111697569A (en) * | 2020-05-22 | 2020-09-22 | 国网山东省电力公司德州供电公司 | Comprehensive analysis system and method for fault self-healing capability of distribution line |
| CN111987700A (en) * | 2020-08-19 | 2020-11-24 | 国网综合能源服务集团有限公司 | Comprehensive energy system type power distribution network fault recovery method based on two-stage optimization |
| CN112242701A (en) * | 2020-11-03 | 2021-01-19 | 上海电力大学 | Distribution method and system based on multi-fault first-aid repair task of power distribution network |
| CN112381672A (en) * | 2020-12-03 | 2021-02-19 | 上海交通大学 | Energy supply fault processing method of industrial park comprehensive energy system considering energy storage cooperation |
| CN112701688A (en) * | 2021-01-28 | 2021-04-23 | 国网河北省电力有限公司电力科学研究院 | Power distribution network fault recovery method considering emergency electric vehicle and terminal equipment |
| CN112865087A (en) * | 2021-01-28 | 2021-05-28 | 国网河北省电力有限公司电力科学研究院 | Power distribution network fault recovery method and terminal equipment |
| CN113038520A (en) * | 2021-03-31 | 2021-06-25 | 广东电网有限责任公司电力调度控制中心 | Topology-aware virtual network service fault recovery method and system |
| CN113159598A (en) * | 2021-04-29 | 2021-07-23 | 国网河北省电力有限公司电力科学研究院 | Method and device for rush repair and scheduling of transformer area faults and terminal equipment |
| CN116973694B (en) * | 2023-09-22 | 2023-12-12 | 国网浙江宁波市鄞州区供电有限公司 | Power distribution network fault diagnosis optimization method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104112165A (en) * | 2014-05-19 | 2014-10-22 | 浙江工业大学 | Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm |
| CN105281344A (en) * | 2015-11-20 | 2016-01-27 | 武汉大学 | Smart distribution network self-restoration optimization method considering power quality and uncertainty constraint thereof |
| CN105405067A (en) * | 2015-11-25 | 2016-03-16 | 国网安徽省电力公司经济技术研究院 | Muiti-stage active distribution network self-healing planning method based on bi-level planning |
-
2017
- 2017-04-12 CN CN201710236876.XA patent/CN107017622A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104112165A (en) * | 2014-05-19 | 2014-10-22 | 浙江工业大学 | Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm |
| CN105281344A (en) * | 2015-11-20 | 2016-01-27 | 武汉大学 | Smart distribution network self-restoration optimization method considering power quality and uncertainty constraint thereof |
| CN105405067A (en) * | 2015-11-25 | 2016-03-16 | 国网安徽省电力公司经济技术研究院 | Muiti-stage active distribution network self-healing planning method based on bi-level planning |
Non-Patent Citations (1)
| Title |
|---|
| 杨丽君等: "含分布式电源的配电网多故障抢修与恢复协调优化策略", 《电力系统自动化》 * |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109004639B (en) * | 2018-06-30 | 2020-08-11 | 南京理工大学 | Power distribution network partition power supply recovery strategy optimization method based on completely distributed algorithm |
| CN109004639A (en) * | 2018-06-30 | 2018-12-14 | 南京理工大学 | Power distribution network switched-mode power supply recovery policy optimization method based on complete distributed algorithm |
| CN109617132A (en) * | 2018-12-12 | 2019-04-12 | 国网江苏省电力有限公司电力科学研究院 | Promote resource distribution and the network reconfiguration optimization method of elastic distribution network restoration power |
| CN110474368A (en) * | 2019-08-08 | 2019-11-19 | 广东工业大学 | DG secondary distribution net black starting-up network element recovery sequence hierarchy optimization method |
| CN110474368B (en) * | 2019-08-08 | 2022-12-16 | 广东工业大学 | Sequential layered optimization method for recovery of black start network elements of DG (distributed generation) auxiliary power distribution network |
| CN111026008A (en) * | 2019-12-16 | 2020-04-17 | 上海宏力达信息技术股份有限公司 | Intelligent switch first-aid repair method and system based on ant colony algorithm |
| CN111697569A (en) * | 2020-05-22 | 2020-09-22 | 国网山东省电力公司德州供电公司 | Comprehensive analysis system and method for fault self-healing capability of distribution line |
| CN111987700A (en) * | 2020-08-19 | 2020-11-24 | 国网综合能源服务集团有限公司 | Comprehensive energy system type power distribution network fault recovery method based on two-stage optimization |
| CN112242701B (en) * | 2020-11-03 | 2021-06-04 | 上海电力大学 | Distribution method and system based on multi-fault first-aid repair task of power distribution network |
| CN112242701A (en) * | 2020-11-03 | 2021-01-19 | 上海电力大学 | Distribution method and system based on multi-fault first-aid repair task of power distribution network |
| CN112381672A (en) * | 2020-12-03 | 2021-02-19 | 上海交通大学 | Energy supply fault processing method of industrial park comprehensive energy system considering energy storage cooperation |
| CN112381672B (en) * | 2020-12-03 | 2022-05-20 | 上海交通大学 | Energy supply fault processing method of industrial park comprehensive energy system considering energy storage cooperation |
| CN112865087A (en) * | 2021-01-28 | 2021-05-28 | 国网河北省电力有限公司电力科学研究院 | Power distribution network fault recovery method and terminal equipment |
| CN112701688A (en) * | 2021-01-28 | 2021-04-23 | 国网河北省电力有限公司电力科学研究院 | Power distribution network fault recovery method considering emergency electric vehicle and terminal equipment |
| CN112865087B (en) * | 2021-01-28 | 2023-08-08 | 国网河北省电力有限公司电力科学研究院 | Power distribution network fault recovery method and terminal equipment |
| CN113038520A (en) * | 2021-03-31 | 2021-06-25 | 广东电网有限责任公司电力调度控制中心 | Topology-aware virtual network service fault recovery method and system |
| CN113159598A (en) * | 2021-04-29 | 2021-07-23 | 国网河北省电力有限公司电力科学研究院 | Method and device for rush repair and scheduling of transformer area faults and terminal equipment |
| CN116973694B (en) * | 2023-09-22 | 2023-12-12 | 国网浙江宁波市鄞州区供电有限公司 | Power distribution network fault diagnosis optimization method and system |
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