CN109149657A - A kind of multistage active distribution network dispatching method - Google Patents
A kind of multistage active distribution network dispatching method Download PDFInfo
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- CN109149657A CN109149657A CN201811128495.0A CN201811128495A CN109149657A CN 109149657 A CN109149657 A CN 109149657A CN 201811128495 A CN201811128495 A CN 201811128495A CN 109149657 A CN109149657 A CN 109149657A
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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
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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Abstract
Multistage active distribution network dispatching method of the invention includes the following steps: that step 1) constructs active distribution network synthetic performance evaluation system；The scheduling scheme that step 2 combined charge time, charge position and charging modes building electric car orderly charge；Step 3) constructs multistage active distribution network scheduling strategy.The utility model has the advantages that constructing the system that can carry out comprehensive assessment to active distribution network performance from source, net, three side of lotus simultaneously, and the multistage active distribution network scheduling strategy that meter and electric car orderly charge is constructed according to the assessment system.
Description
Technical field
The present invention relates to active distribution network dispatching technique field more particularly to it is a kind of orderly charge containing electric car it is multistage
Section active distribution network dispatching method.
Background technique
In the world under the continuous propulsion of energy strategy and environmental protection concern, the large-scale distributed energy such as wind-powered electricity generation,
Solar power generation etc. is linked into current power distribution network.The continuous improvement of distributed energy permeability in power distribution network is so that match
The stability and security facing of power grid huge challenge, while also proposing new want to the management and running of conventional electrical distribution net
It asks.Due to having the ability that can actively manage distributed energy and load by intelligent network topological structure, active distribution
The concept of net has gradually obtained the approval in the engineering field.
Communication and the raising of automatic technology further provide technical support for the development of active distribution network, make actively to match
Power grid becomes the multidimentional system for covering three side participant of power supply, rack and load.In this multidimentional system, due to relating to
And the participant that can be largely scheduled for, such as distributed energy and interruptible load, the management and running of active distribution network also have
There is the process entirely different with conventional electrical distribution net.In addition, current a large amount of electric car is also accessing in power distribution network.Due to
There is schedulable characteristic in the charging stage, electric car is also gradually shown as the important participant of active distribution network load side
Its contribution in active distribution network scheduling aspect.However the extensive networking of electric car is equally along with a large amount of probabilistic
It introduces, unordered charging process will increase the peak-valley difference of regional active distribution network instead, and further in the peak of power consumption period
Ground deteriorates power quality.
To sum up, under active distribution network environment specification Rechargeable vehicle charge mode, and formed one can comprehensively consider master
Dynamic power distribution network source, net, three side participant behavior of lotus Optimized Operation scheme there is weight to the actual schedule operation of active distribution network
Big directive significance.However currently for the research of the direction there are vacancy, most of relevant researchs concentrate on active distribution
The unilateral act of participant in net.
Summary of the invention
Present invention aims to overcome that the deficiency of existing technology, provides a kind of multistage that electric car orderly charges active
Power distribution network dispatching method, is specifically realized by the following technical scheme:
The multistage active distribution network dispatching method that the electric car orderly charges, includes the following steps:
Step 1) constructs active distribution network synthetic performance evaluation system；
The scheduling scheme that step 2 combined charge time, charge position and charging modes building electric car orderly charge；
Step 3) constructs multistage active distribution network scheduling strategy.
The further design of the multistage active distribution network dispatching method is that the step 1) includes the following steps:
Step 1-1) active control level Index Establishment.By rate of qualified voltage index, main line load factor index, network weight
Structure Frequency Index is constituted；
Step 1-2) active management level Index Establishment.By automobile user Satisfaction index, equivalent load curve post
Quasi- poor index, interruptible load compensation index are constituted；
Step 1-3) actively economical level Index Establishment.By system losses index, plant-grid connection fee forecast, environmental pollution
Rejection penalty index is constituted.
The further design of the multistage active distribution network dispatching method is that the step 2 is filled including electric car
Electricity is time-optimized, electric car charge position optimizes and electric vehicle charging mode optimization.
The further design of the multistage active distribution network dispatching method is that the step 2 includes the following steps:
Step a) initialization；
Step b) input theiThe charge information of electric car；
Step c) leaves residential block to electric car, reaches Office Area, leaves Office Area and reach four moment of residential block
It is sampled；
Step d) judges whether Office Area has vacant charging pile, if not having, is divided again by electric car charging schedule system
Match；Fast charge mode is preferentially selected if having；
Step e) judges whether residential block has vacant charging pile, if not having, is divided again by electric car charging schedule system
Match；Trickle charge mode is preferentially selected if having；
Step f) record theiCharge data of the Rechargeable vehicle in 24 hours；
Step g) judges whether sampling terminates, if judgement sampling, which is not over, jumps to step c)；If judgement sampling is over
Then jump to step h)；
Step h) stores the charge data of all electric cars in the region；
Step i) calculates the Rechargeable vehicle user satisfaction in the region and obtains the electric car under the orderly charging scheme
Load.
The multistage active distribution network dispatching method it is further design be, the step 2-3) in electric car fill
Electric mode includes fast charge and trickle charge two ways.
The further design of the multistage active distribution network dispatching method is that the step 3) includes the following steps:
Step 3-1) controlled distribution formula power supply and network topology structure optimization, by controlled distribution formula power supply generating optimization, contact open
It closes action command and differentiates composition；
Step 3-2) controllable burden optimization, it is made of the cutting of electric automobile load and conventional load, wherein excellent in cutting load
First select electric automobile load.
The multistage active distribution network dispatching method it is further design be, step 3-1) include the following steps:
Step A) input electric automobile load, uncontrollable distributed generation resource power output and conventional load data；
Step B) progress controlled distribution formula power supply is contributed and the optimization of network topology structure；
Step C) rate of qualified voltage is judged less than 1 or main line load factor is less than 0.8, if rate of qualified voltage is not belonging to the model
It encloses, then jumps to step D)；If rate of qualified voltage belongs to the range, step E is jumped to)；
Step D) obtain the periodtThe volume load of the power output of interior controlled distribution formula power supply, interconnection switch state and reduction；
Step E) judge whether the analytical calculation of all periods has finished, if not finishing, jump to step A)；If complete
Knot, then jump to step F)；
Step F) obtain the power output of controlled distribution formula power supply in 24 hours, the volume load of interconnection switch state and reduction；And
It calculates about all indexs under active distribution network synthetic performance evaluation system.
Advantages of the present invention is as follows:
Multistage active distribution network dispatching method of the invention constructs one first can be simultaneously from source, net, three side of lotus to actively
The system that power distribution network performance carries out comprehensive assessment, and meter constructed according to the assessment system and electric car orderly charge it is multistage
Section active distribution network scheduling strategy.
Detailed description of the invention
Fig. 1 is electric car charging schedule system schematic.
Fig. 2 is the general view of multistage active distribution network scheduling strategy.
Fig. 3 is the calculation flow chart for the multistage active distribution network scheduling strategy that meter and electric car orderly charge.
Specific embodiment
Such as Fig. 1, the multistage active distribution network dispatching method of the present embodiment includes the following steps:
Step 1) constructs active distribution network synthetic performance evaluation system.
The dispatching party that step 2 combined charge time, charge position and charging modes building electric car orderly charge
Case.
Step 3) constructs multistage active distribution network scheduling strategy.
Further, step 1) includes the following steps:
Step 1-1) active control level Index Establishment.By rate of qualified voltage index, main line load factor index, network weight
Structure Frequency Index is constituted.
Step 1-2) active management level Index Establishment.It is bent by automobile user Satisfaction index, equivalent load
Line standard poor index, interruptible load compensation index are constituted.
Step 1-3) actively economical level Index Establishment.By system losses index, plant-grid connection fee forecast, environment
Rejection penalty index is polluted to constitute.
Step 2 includes the optimization of electric car charging time, the optimization of electric car charge position and electric car charging side
Formula optimization.
Such as Fig. 3, step 2 includes the following steps:
Step a) initialization.
Step b) input theiThe charge information of electric car.
Step c) leaves residential block to electric car, reaches Office Area, leaves Office Area and reach four of residential block
Moment is sampled.
Step d) judges whether Office Area has vacant charging pile, if not having, by electric car charging schedule system weight
New distribution；Fast charge mode is preferentially selected if having.
Step e) judges whether residential block has vacant charging pile, if not having, by electric car charging schedule system weight
New distribution；Trickle charge mode is preferentially selected if having.
Step f) record theiCharge data of the Rechargeable vehicle in 24 hours.
Step g) judges whether sampling terminates, if judgement sampling, which is not over, jumps to step c)；If judgement sampling is
End then jumps to step h)；
Step h) stores the charge data of all electric cars in the region；
Step i) calculates the Rechargeable vehicle user satisfaction in the region and obtains the electric car under the orderly charging scheme
Load.
Step 2-3) in electric vehicle charging mode include fast charge and trickle charge two ways.
Such as Fig. 2, step 3) includes the following steps:
Step 3-1) controlled distribution formula power supply and network topology structure optimization, by controlled distribution formula power supply generating optimization, contact open
It closes action command and differentiates composition；
Step 3-2) controllable burden optimization, it is made of the cutting of electric automobile load and conventional load, wherein excellent in cutting load
First select electric automobile load.
Such as Fig. 3, step 3-1) include the following steps:
A electric automobile load, uncontrollable distributed generation resource power output and conventional load data) are inputted；
B the optimization of controlled distribution formula power supply power output and network topology structure) is carried out；
C rate of qualified voltage) is judged less than 1 or main line load factor is less than 0.8, if rate of qualified voltage is not belonging to the range,
Jump to step D)；If rate of qualified voltage belongs to the range, step E is jumped to)；
D the period) is obtainedtThe volume load of the power output of interior controlled distribution formula power supply, interconnection switch state and reduction；
E) judge whether the analytical calculation of all periods has finished, if not finishing, jump to step A)；If having finished,
Jump to step F)；
F the volume load of the power output of controlled distribution formula power supply in 24 hours, interconnection switch state and reduction) is obtained；And it calculates
About all indexs under active distribution network synthetic performance evaluation system.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
It for member, can also make several improvements without departing from the principle of the present invention, these improvement also should be regarded as of the invention
Protection scope.
Claims (7)
1. a kind of multistage active distribution network dispatching method, it is characterised in that include the following steps:
Step 1) constructs active distribution network synthetic performance evaluation system；
The scheduling scheme that step 2 combined charge time, charge position and charging modes building electric car orderly charge；
Step 3) constructs multistage active distribution network scheduling strategy.
2. multistage active distribution network dispatching method according to claim 1, it is characterised in that the step 1) includes such as
Lower step:
Step 1-1) active control level Index Establishment；The index of the active control level is referred to by rate of qualified voltage
Mark, main line load factor index, network reconfiguration Frequency Index are constituted；
Step 1-2) active management level Index Establishment；The index of the active management level is expired by automobile user
Meaning degree index, equivalent load curve standard deviation requirement, interruptible load compensation index are constituted；
Step 1-3) actively economical level Index Establishment, the index of the economical level of active by system losses index,
Plant-grid connection fee forecast, environmental pollution rejection penalty index are constituted.
3. multistage active distribution network dispatching method according to claim 1, it is characterised in that the step 2 includes electricity
The optimization of electrical automobile charging time, the optimization of electric car charge position and electric vehicle charging mode optimization.
4. multistage active distribution network dispatching method according to claim 3, it is characterised in that the step 2 includes such as
Lower step:
Step a) initialization；
Step b) input theiThe charge information of electric car；
Step c) leaves residential block to electric car, reaches Office Area, leaves Office Area and reach four moment of residential block
It is sampled；
Step d) judges whether Office Area has vacant charging pile, if not having, is divided again by electric car charging schedule system
Match；Fast charge mode is preferentially selected if having；
Step e) judges whether residential block has vacant charging pile, if not having, is divided again by electric car charging schedule system
Match；Trickle charge mode is preferentially selected if having；
Step f) record theiCharge data of the Rechargeable vehicle in 24 hours；
Step g) judges whether sampling terminates, if judgement sampling, which is not over, jumps to step c)；If judgement sampling is over
Then jump to step h)；
Step h) stores the charge data of all electric cars in the region；
Step i) calculates the Rechargeable vehicle user satisfaction in the region and obtains the electric car under the orderly charging scheme
Load.
5. multistage active distribution network dispatching method according to claim 1, it is characterised in that the step 2-3) in electricity
Electrical automobile charging modes include fast charge and trickle charge two ways.
6. multistage active distribution network dispatching method according to claim 1, it is characterised in that the step 3) includes such as
Lower step:
Step 3-1) controlled distribution formula power supply and network topology structure optimization, by controlled distribution formula power supply generating optimization, contact open
It closes action command and differentiates composition；
Step 3-2) controllable burden optimization, it is made of the cutting of electric automobile load and conventional load, wherein excellent in cutting load
First select electric automobile load.
7. multistage active distribution network dispatching method according to claim 6, it is characterised in that step 3-1) it include as follows
Step: step A) input electric automobile load, uncontrollable distributed generation resource power output and conventional load data；
Step B) progress controlled distribution formula power supply is contributed and the optimization of network topology structure；
Step C) rate of qualified voltage is judged less than 1 or main line load factor is less than 0.8, if rate of qualified voltage is not belonging to the model
It encloses, then jumps to step D)；If rate of qualified voltage belongs to the range, step E is jumped to)；
Step D) obtain the periodtThe volume load of the power output of interior controlled distribution formula power supply, interconnection switch state and reduction；
Step E) judge whether the analytical calculation of all periods has finished, if not finishing, jump to step A)；If complete
Knot, then jump to step F)；
Step F) obtain the power output of controlled distribution formula power supply in 24 hours, the volume load of interconnection switch state and reduction；And
It calculates about all indexs under active distribution network synthetic performance evaluation system.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110350517A (en) * | 2019-06-27 | 2019-10-18 | 华南理工大学 | A kind of grid-connected Distribution Network Reconfiguration of electric car based on operation risk |
| CN113541204A (en) * | 2021-08-10 | 2021-10-22 | 上海电力大学 | Self-adaptive adjustment method and system for full-load peak shaving of coal-fired generator set |
| CN113644672A (en) * | 2021-08-11 | 2021-11-12 | 国网江苏省电力有限公司苏州供电分公司 | Electric vehicle charging and discharging coordination scheduling system and method |
Citations (1)
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| CN108090277A (en) * | 2017-12-15 | 2018-05-29 | 燕山大学 | A kind of electric vehicle microgrid dual-layer optimization dispatching method for considering satisfaction and dispatching |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108090277A (en) * | 2017-12-15 | 2018-05-29 | 燕山大学 | A kind of electric vehicle microgrid dual-layer optimization dispatching method for considering satisfaction and dispatching |
Non-Patent Citations (1)
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| 诸晓骏: "考虑电动汽车有序充电的主动配电网源网荷优化调度研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110350517A (en) * | 2019-06-27 | 2019-10-18 | 华南理工大学 | A kind of grid-connected Distribution Network Reconfiguration of electric car based on operation risk |
| CN110350517B (en) * | 2019-06-27 | 2023-05-23 | 华南理工大学 | Electric automobile grid-connected power distribution network reconstruction method based on operation risk |
| CN113541204A (en) * | 2021-08-10 | 2021-10-22 | 上海电力大学 | Self-adaptive adjustment method and system for full-load peak shaving of coal-fired generator set |
| CN113541204B (en) * | 2021-08-10 | 2022-12-27 | 上海电力大学 | Self-adaptive adjustment method and system for full-load peak regulation of coal-fired power generating unit |
| CN113644672A (en) * | 2021-08-11 | 2021-11-12 | 国网江苏省电力有限公司苏州供电分公司 | Electric vehicle charging and discharging coordination scheduling system and method |
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