CN106655158A - Smart grid based distribution network self-healing control system and method - Google Patents
Smart grid based distribution network self-healing control system and method Download PDFInfo
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- CN106655158A CN106655158A CN201610947230.8A CN201610947230A CN106655158A CN 106655158 A CN106655158 A CN 106655158A CN 201610947230 A CN201610947230 A CN 201610947230A CN 106655158 A CN106655158 A CN 106655158A
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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
- 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
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
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Abstract
The technical scheme of the invention comprises a smart grid based distribution network self-healing control system and method which are used for performing recognition on the state of a distribution network, generating a corresponding control scheme, and displaying the state of a grid; calculating and storing a risk indicator, and performing prediction; simulating a risk state of the distribution network based on setting for parameters of the distribution network, and further enabling a risk module to perform evaluation on the simulated risk state of the distribution network; evaluating the performance of the distribution network, and providing corresponding optimization control decisions according to different evaluations; and providing a man-machine interaction interface to perform artificial custom setting for the parameters. The beneficial effects are that risk early warning is performed, that is, early warning is performed for conditions of the distribution network; correction control is performed, that is, control is performed on the conditions while an (N-1) criterion is met; relevant information fusion and analysis ability is provided; functions of multistage voltage coordination and quick recovery under large-area power outage of the distribution network are supported; and multi-area cooperative operation control for emergency transfer of mass loads is supported.
Description
Technical field
The present invention relates to a kind of power distribution network self-healing control system and method based on intelligent grid, belong to computer, electric power
Field.
Background technology
The spontaneous recovery of electrical network（Self Healing）Refer to that it, in the case where or need not only need a small amount of human intervention, is utilized
Advanced monitoring means carry out continuous inline diagnosis and assessment to the running status of electrical network, find in time and quickly adjust, and disappear
Except potential faults；When failure occurs, failure, self-recovery can be quickly isolated, do not affect user normal power supply or will therefore
Minimum is down in barrier impact.Just as the immunologic function of human body, spontaneous recovery enables electrical network to resist and alleviates various inside and outside harm
（Failure）, it is ensured that the safe and stable operation and power supply quality of electrical network.
With the high speed development of power distribution automation, power distribution network self-healing function is increasingly paid attention to by power grid construction person, increases
Input and construction in terms of " power distribution network spontaneous recovery ", and clearly propose in the Bidding Plan of many electrical power distribution automatization systems
The functional requirement of " power distribution network spontaneous recovery ".
Power distribution network self-healing control is towards intelligent distribution network, with sensing acquisition and communication technology as medium, with data mining
Based on status monitoring, electrical network early warning, with state estimation and analysis decision as core, with control device as means, it is right to realize
The optimization operation of system, risk-aversion, failure are disposed.
The content of the invention
For the deficiencies in the prior art, technical scheme provides a kind of power distribution network spontaneous recovery based on intelligent grid
Control system and method, on the basis of feeder automation, with reference to the knot of the analyses such as state of electric distribution network estimation and Load flow calculation
Really, the running status that automatically diagnosis power distribution network is presently in, and control strategy decision-making is carried out, realization sets to power distribution network first and second
Standby automatically controls, and eliminates distribution network operation hidden danger, shortens the troubleshooting cycle, improves operation margin of safety, promotes power distribution network
More preferable running status is turned to, power distribution network self-healing ability is given.
Technical scheme includes a kind of power distribution network self-healing control system based on intelligent grid, it is characterised in that
The system includes：Visual module, recognizes for periodicity to state of electric distribution network, and then is generated according to identification result corresponding
Control program, also includes carrying out real-time exhibition to distribution network topology；Risk module, based on carrying out to power distribution network risk indicator
Calculate and predict, create corresponding risk rule library and generate prevention and control scheme, further, interface pair is used when there is risk
Risk status are shown；Analog module, for based on being configured to distribution network parameters, simulating power distribution network risk status, enters
One step enables the risk module and is estimated to simulating power distribution network risk status；Decision-making module, for the performance to power distribution network
Evaluated, and corresponding optimal control decision-making is provided according to different evaluations；Parameter module, for providing human-computer interaction interface
Artificial self-defined setting is carried out to the visual module, risk module, analog module and decision-making module parameter, is additionally operable to calculating
As a result checked.
According to the described power distribution network self-healing control system based on intelligent grid, the system also includes：Can be based on various
Electric network model carries out self-healing control, specifically includes real-time grid model, following electric network model and history electric network model.
According to the described power distribution network self-healing control system based on intelligent grid, described visual module also includes：Collection
Submodule, in a cycle of set time, being identified to electrical network state in which, according to state identification result,
Different control programs are generated respectively, further state and warning information is shown using display interface, wherein electrical network shape
State includes normal, risk, urgent, optimization and recovers state；Display sub-module, in visual interface to whole distribution network
Topological diagram carries out real-time exhibition, and normal data points in topological diagram and exceptional data point are made a distinction using significantly mark；
Microgrid submodule, for allowing distributed energy with the access of microgrid form, and when distribution is broken down, to power distribution network and microgrid
Implement isolation so that microgrid forms power supply isolated island and powers to important load.
According to the described power distribution network self-healing control system based on intelligent grid, described risk module also includes：Risk
Calculating sub module, for calculating the risk indicator of power distribution network, and to historical risk Index Establishment risk rule library, in future to matching somebody with somebody
When electrical network carries out calculation risk index, from the corresponding risk rule of regular library lookup and corresponding control program is generated, further
It is additionally operable to carry out risk profile to following time period；Risk preview submodule, for different risks to be divided into into multiple wind
Dangerous grade, the risk zones of institute's preview can be power distribution network subregion, can also be Zone Full, further, to risk area
Domain is labeled and is positioned using substantially mark.
According to the described power distribution network self-healing control system based on intelligent grid, described analog module also includes：For
Distribution network parameters are configured based on the parameter module, further adjust electrical network parameter so that electrical network parameter simulation reaches
The risk status specified, and then carry out corresponding risk assessment simulation and control program simulation.
According to the described power distribution network self-healing control system based on intelligent grid, described decision-making module also includes：For
Safety, power supply capacity to power distribution network, reliability, economy, power supply quality are estimated, and according to assessment result correspondence is generated
Optimization control scheme.
According to the described power distribution network self-healing control system based on intelligent grid, described control program also includes：For
Corresponding one or/and control program are generated according to power distribution network state in which, through the power distribution network that a control program is processed
Next control program is further performed, until power distribution network is optimal state.
Technical scheme is also including a kind of power distribution network self-healing control system of intelligent grid, it is characterised in that should
Method includes：Periodically state of electric distribution network is recognized, and then corresponding control program is generated according to identification result, also included
Real-time exhibition is carried out to distribution network topology；Power distribution network risk indicator is calculated and predicted, corresponding risk rule is created
Storehouse simultaneously generates prevention and control scheme, further, when there is risk risk status is shown using interface；Based on to distribution
Network parameters are configured, and simulate power distribution network risk status, further enable the risk module to simulating power distribution network risk status
It is estimated；The performance of power distribution network is evaluated, and corresponding optimal control decision-making is provided according to different evaluations；People is provided
Machine interactive interface carries out artificial self-defined setting to the visual module, risk module, analog module and decision-making module parameter, also
For checking to result of calculation.
Further, the method also includes：Self-healing control is carried out based on various electric network models, real-time grid mould is specifically included
Type, following electric network model and history electric network model.
According to the described power distribution network self-healing control system based on intelligent grid, the method also includes：In the set time
In a cycle, electrical network state in which is identified, according to state identification result, different control programs is generated respectively,
Further state and warning information are shown using display interface, wherein electric network state includes normal, risk, urgent, excellent
Change and recover state；Real-time exhibition is carried out to the topological diagram of whole distribution network in visual interface, and to normal in topological diagram
Data point and exceptional data point are made a distinction using significantly mark；Distributed energy is allowed with the access of microgrid form, and works as distribution
When breaking down, power distribution network and microgrid are implemented to isolate so that microgrid forms power supply isolated island and powers to important load.
Further, the method also includes：The risk indicator of power distribution network is calculated, and to historical risk Index Establishment risk rule
Storehouse, when calculation risk index will be carried out to power distribution network in future, from the corresponding risk rule of regular library lookup and generates corresponding control
Scheme processed, is further additionally operable to carry out risk profile to following time period；Different risks is divided into into multiple risk class,
The risk zones of institute's preview can be power distribution network subregion, can also be Zone Full, further, risk zones be used bright
Aobvious mark is labeled and positions.
Further, the method also includes：Distribution network parameters are configured using parameter module, further adjustment electrical network ginseng
Number so that electrical network parameter simulation reaches the risk status specified, and then carries out corresponding risk assessment simulation and control program mould
Intend.
Further, the method also includes：Safety, power supply capacity to power distribution network, reliability, economy, power supply quality
It is estimated, corresponding optimization control scheme is generated according to assessment result.
Further, it is characterised in that the method also includes：According to power distribution network state in which generate it is corresponding one or/
And control program, the power distribution network processed through a control program further performs next control program, until power distribution network reaches
To optimum state.
Beneficial effects of the present invention are：Risk-warning, supports power distribution network in the state of emergency, recovers state, abnormality, police
The state demarcation such as ring state and safe condition and assay mechanism, are that power distribution network self-healing control is realized providing fundamental basis and dividing
Analysis model foundation；Corrective control, including prevention and control, Corrective control, recovery control, emergent control, control strategies at different levels keep
Certain margin of safety, meets N-1 criterions；Possess the ability of relevant information convergence analysis, fail to report in fault message, report by mistake and
Being capable of fault-tolerant fault location under the conditions of misrepresenting deliberately；Support multilevel voltage coordination, the fast quick-recovery in the case of power distribution network large-area power-cuts
Function；Support the multizone compounding practice control that high-volume load is promptly shifted；Self-healing control is preferably extended to high electric voltage etc.
Level is unified to be considered.
Description of the drawings
Fig. 1 show the structured flowchart according to embodiment of the present invention；
Fig. 2 show the distribution self-healing control figure according to embodiment of the present invention；
Fig. 3 show the process chart of the distribution self-healing control according to embodiment of the present invention；
Fig. 4 show the risk assessment figure according to embodiment of the present invention.
Specific embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with the accompanying drawings with specific embodiment pair
The present invention is described in detail.The power distribution network self-healing control system and method based on intelligent grid of the present invention are applied to power distribution network
Spontaneous recovery is processed.
Fig. 1 show the structured flowchart according to embodiment of the present invention.Shown in A-H specific as follows,
A. electric network model is selected, and can carry out self-healing control based on various electric network models, including：
1) real-time grid model：Refer to current electric grid model；
2）Following electric network model：Refer to the electric network model that will be put into operation in coming few months；
3）History electric network model：Refer to the electric network model at history a certain moment.
B. spontaneous recovery state estimation, including
1）In each collection period, in backstage 5 kinds of states of system are carried out（Normally, optimization, risk, urgent, recovery）Shape
State is recognized, and according to state identification result, different control programs is generated respectively.The current shape of whole system is given on the interface of foreground
State and each warning information；
2）The topology situation of whole distribution network can be seen on main wiring diagram.Each node（Bus/switch/distribution transforming/main transformer）
Show the size of three-phase voltage, electric current and power factor in real time in digital form（According to state estimation, it is judged as reasonable data
Shown in real time with normal color, irrational data are shown by special color）, track section first and last end is with numeral and arrow side
Formula shows active and idle and size and Orientation, by different colours display alarm information；
3）In the case of distributed energy is accessed, it is allowed to the operation of microgrid form, when distribution is broken down, by spontaneous recovery control
System, realizes that microgrid is separated with power distribution network, forms isolated island and independently the important load to its inside is powered.
C. Risk Identification, assessment and early warning, including
1）Can be with calculation risk index；
2）The type of institute's risk can be judged according to risk indicator result of calculation and corresponding rule base.
3）The risk situation that power distribution network is faced in following a period of time from now on can be predicted.
4）Corresponding prevention and control scheme can be generated according to risk classifications identification result, be scheduled for decision-maker's reference.
5）Can be fed back on a user interface by risk class, and provide certain warning information（Image, word, sound
The alarm signals such as sound）, it is scheduled for decision-maker's reference；
6）Concentration identification, judgement, positioning and prevention and control can be carried out to the risk status of the whole network or partial electric grid.
7）Risk can be accurately positioned local, it is possible to reflect global risk situation according to local risk situation.
8）Risk area can be directly displayed on figure, it is also possible to use pop-out.
Can the risk of early warning be divided into system risk, node risk and equipment Risk, be related to overload, overvoltage, low-voltage
（Voltage out-of-limit）, the aspect such as three-phase imbalance risk risk.
D. multizone compounding practice control
Under transformer station's whole station power-off condition, the multizone compounding practice for carrying out the urgent transfer of high-volume load is controlled and verified.
E. risk case simulation, under emulation state, is setting the relevant parameter of electrical network, such as ambient parameter, system loading, fortune
Line mode etc., then on this basis, some parameters of manual change's electrical network, such as payload, load tap changer position are come
The risk status of simulating grid, and start Risk Identification module, carry out Risk Identification, assessment and early warning.
F optimal control decision-makings, including
1) safety evaluatio is carried out to electrical network, such as：Node voltage level, main transformer and line load rate etc..
2) electrical network power supply capacity is evaluated, such as：Load transfer ability etc. between capacity-load ratio, circuit.When power supply capacity not
When can meet workload demand, according to load significance level, the economic and social benefits for producing and history pressure load condition, got rid of
Load.
3) electric network reliability and power supply quality are evaluated, such as：Load point fault rate, system System average interruption frequency, it is
Unite average power off time, rate of qualified voltage etc..
4) economic power system is evaluated, such as：Line loss per unit and equipment efficiency of usage etc..
5) according to above-mentioned evaluation, corresponding optimization control scheme can be provided.
G. parameter setting, supports to carry out manual intervention, such as condition assessment of power grid to some parameters in each functional module algorithm
Rule, risk status identification rule etc..The content of parameter that needs are arranged refers to explanation hereinafter.
H. interface display, there is provided man machine interface, calculating parameter setting, startup optimization by each function of self-healing system, based on
Calculate result to check.
Fig. 2 show the distribution self-healing control figure according to embodiment of the present invention.For representing for different distribution
During netted condition, solved using different control programs.By equipment state monitoring, stable cross section monitoring, urgent early warning, extensive
5 levels such as multiple control, optimal control are analyzed to electrical network weak link, and the Key Points of Monitoring of accurate assurance electrical network provides phase
The accident treatment answered and correction/optimisation strategy.Usually, distribution Running State can be summarized as following several stages：
（1）The state of emergency：Faulty generation in assignment electrical network, or have serious low-voltage, or have serious overload, or have overload
Persistent period exceeds allowed band, state in which when needing relay protection action to prevent operation from continuing to deteriorate.
（2）Recovery state：Refer to that the state of emergency to power distribution network is implemented after control, the parameter of power distribution network can still meet operation about
, be present dead electricity load or power supply isolated island in beam condition, though now the running status of power distribution network does not continue to deteriorate, but not yet establish
Normal operating condition.
（3）Abnormality：There is overload and the persistent period is in allowed band in assignment electrical network, voltage out-of-limit but do not send out
Raw Voltage Instability, or state in which during power equipment operation exception.
（4）The state of alert：Refer to that current time there is no failure or abnormal generation, but the state guarded against need to be kept.Such as predict
Overload event will occur in following 2 hours, then report to the police to operator on duty.
（5）Safe condition：Assignment electrical network items operational factor is normal, it is likely that there is the potential safety hazard of N-1, Huo Zhe
By some be reasonably expected that accident disturbance after can not fully meet constraints when state in which.
（6）Economic scene：The assignment stabilization of power grids, safe and reliable operation, and low, operation is lost under current loads level
Cost is little.
Fig. 3 show the process chart of the distribution self-healing control according to embodiment of the present invention, makes for order of representation
The flow chart of distribution situation is solved with different control programs.By equipment state monitoring, stable cross section monitoring, urgent early warning,
Recover 5 levels such as control, optimal control to be analyzed electrical network weak link, the Key Points of Monitoring of accurate assurance electrical network is given
Corresponding accident treatment and correction/optimisation strategy.
Fig. 4 show the risk assessment figure according to embodiment of the present invention.For representing processing in detail for risk assessment
Journey.
The above, simply presently preferred embodiments of the present invention, the invention is not limited in above-mentioned embodiment, as long as
It reaches the technique effect of the present invention with identical means, should all belong to protection scope of the present invention.In the protection model of the present invention
Its technical scheme and/or embodiment can have a variety of modifications and variations in enclosing.
Claims (14)
1. a kind of power distribution network self-healing control system based on intelligent grid, it is characterised in that the system includes：
Visual module, recognizes for periodicity to state of electric distribution network, and then generates corresponding controlling party according to identification result
Case, also includes carrying out real-time exhibition to distribution network topology；
Risk module, for power distribution network risk indicator to be calculated and predicted, creates corresponding risk rule library and generates pre-
Risk status further, are shown by anti-control program when there is risk using interface；
Analog module, for based on being configured to distribution network parameters, simulating power distribution network risk status, further enables the wind
Dangerous module is estimated to simulating power distribution network risk status；
Decision-making module, for evaluating the performance of power distribution network, and determines according to the different corresponding optimal controls of evaluation offer
Plan；
Parameter module, joins for providing human-computer interaction interface to the visual module, risk module, analog module and decision-making module
Number carries out artificial self-defined setting, is additionally operable to check result of calculation.
2. the power distribution network self-healing control system based on intelligent grid according to claim 1, it is characterised in that the system is also
Including：
Self-healing control can be carried out based on various electric network models, specifically include real-time grid model, following electric network model and history
Electric network model.
3. the power distribution network self-healing control system based on intelligent grid according to claim 1, it is characterised in that described can
Also include depending on module：
Collection submodule, in a cycle of set time, being identified to electrical network state in which, distinguishes according to state
Know result, different control programs are generated respectively, further state and warning information are shown using display interface, wherein
Electric network state includes normal, risk, urgent, optimization and recovers state；
Display sub-module, for carrying out real-time exhibition to the topological diagram of whole distribution network in visual interface, and to topological diagram
Middle normal data points and exceptional data point are made a distinction using significantly mark；
Microgrid submodule, for allowing distributed energy with the access of microgrid form, and when distribution is broken down, to power distribution network with
Microgrid implements isolation so that microgrid forms power supply isolated island and powers to important load.
4. the power distribution network self-healing control system based on intelligent grid according to claim 1, it is characterised in that described wind
Dangerous module also includes：
Risk Calculation submodule, for calculating the risk indicator of power distribution network, and to historical risk Index Establishment risk rule library,
Future is to power distribution network when carrying out calculation risk index, from the corresponding risk rule of regular library lookup and generates corresponding controlling party
Case, is further additionally operable to carry out risk profile to following time period；
Risk preview submodule, for different risks to be divided into into multiple risk class, the risk zones of institute's preview can be
Power distribution network subregion, can also be Zone Full, further, risk zones is labeled and is positioned using substantially mark.
5. the power distribution network self-healing control system based on intelligent grid according to claim 1, it is characterised in that described mould
Intending module also includes：
For being configured to distribution network parameters based on the parameter module, electrical network parameter is further adjusted so that electrical network parameter
Simulation reaches the risk status specified, and then carries out corresponding risk assessment simulation and control program simulation.
6. the power distribution network self-healing control system based on intelligent grid according to claim 1, it is characterised in that it is described certainly
Plan module also includes：
For being estimated to the safety of power distribution network, power supply capacity, reliability, economy, power supply quality, according to assessment result
Generate corresponding optimization control scheme.
7. the power distribution network self-healing control system based on intelligent grid according to claim 1, it is characterised in that described control
Scheme processed also includes：
For generating corresponding one or/and control program according to power distribution network state in which, process through a control program
Power distribution network further perform next control program, until power distribution network is optimal state.
8. the power distribution network self-healing control system of a kind of intelligent grid, it is characterised in that the method includes：
Periodically state of electric distribution network is recognized, and then corresponding control program is generated according to identification result, also included to matching somebody with somebody
Power grid topological graph carries out real-time exhibition；
Power distribution network risk indicator is calculated and predicted, corresponding risk rule library is created and is generated prevention and control scheme, entered
Risk status are shown by one step when there is risk using interface；
Based on being configured to distribution network parameters, and then power distribution network risk status are simulated, enable the risk module and simulation is matched somebody with somebody
Power grid risk state is estimated；
The performance of power distribution network is evaluated, and corresponding optimal control decision-making is provided according to different evaluations；
There is provided human-computer interaction interface the visual module, risk module, analog module and decision-making module parameter are carried out it is artificial from
Definition is arranged, and is additionally operable to check result of calculation.
9. the self-healing control method of distribution network based on intelligent grid according to claim 8, it is characterised in that the method is also
Including：
Self-healing control is carried out based on various electric network models, real-time grid model, following electric network model and history electrical network is specifically included
Model.
10. the self-healing control method of distribution network based on intelligent grid according to claim 8, it is characterised in that the method
Also include：
In a cycle of set time, electrical network state in which is identified, according to state identification result, is generated respectively
Different control programs, is further shown using display interface to state and warning information, and wherein electric network state is included just
Often, risk, urgent, optimization and recovery state；
Real-time exhibition is carried out to the topological diagram of whole distribution network in visual interface, and to normal data points in topological diagram and different
Constant strong point is made a distinction using significantly mark；
Distributed energy is allowed with the access of microgrid form, and when distribution is broken down, power distribution network and microgrid are implemented to isolate, made
Obtain microgrid to form power supply isolated island and power to important load.
11. self-healing control method of distribution network based on intelligent grid according to claim 8, it is characterised in that the method
Also include：
The risk indicator of power distribution network is calculated, and to historical risk Index Establishment risk rule library, power distribution network will be counted in future
When calculating risk indicator, from the corresponding risk rule of regular library lookup and corresponding control program is generated, be further additionally operable to not
The time period come carries out risk profile；
Different risks is divided into into multiple risk class, the risk zones of institute's preview can be power distribution network subregion, may be used also
To be Zone Full, further, risk zones are labeled and are positioned using substantially mark.
12. self-healing control method of distribution network based on intelligent grid according to claim 8, it is characterised in that the method
Also include：
Distribution network parameters are configured using parameter module, further adjust electrical network parameter so that electrical network parameter simulation reaches
The risk status specified, and then carry out corresponding risk assessment simulation and control program simulation.
13. self-healing control method of distribution network based on intelligent grid according to claim 8, it is characterised in that the method
Also include：
Safety, power supply capacity to power distribution network, reliability, economy, power supply quality are estimated, and are generated according to assessment result
Corresponding optimization control scheme.
14. self-healing control method of distribution network based on intelligent grid according to claim 8, it is characterised in that the method
Also include：
Corresponding one or/and control program are generated according to power distribution network state in which, through matching somebody with somebody that a control program is processed
Electrical network further performs next control program, until power distribution network is optimal state.
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| CN111106604A (en) * | 2020-01-09 | 2020-05-05 | 浙江中新电力工程建设有限公司自动化分公司 | Self-healing control system based on intelligent power distribution network and operation method thereof |
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| CN113191522A (en) * | 2020-12-31 | 2021-07-30 | 易事特集团股份有限公司 | Self-healing control system and method for intelligent power distribution network |
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