CN108493992A - A kind of wind power plant Optimization Scheduling of the controller containing Distributed Power Flow - Google Patents
A kind of wind power plant Optimization Scheduling of the controller containing Distributed Power Flow Download PDFInfo
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- CN108493992A CN108493992A CN201810257674.8A CN201810257674A CN108493992A CN 108493992 A CN108493992 A CN 108493992A CN 201810257674 A CN201810257674 A CN 201810257674A CN 108493992 A CN108493992 A CN 108493992A
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- H02J3/386—
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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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
- H02J3/48—Controlling the sharing of the in-phase component
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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Abstract
The present invention proposes a kind of wind power plant Optimization Scheduling of the controller containing Distributed Power Flow, first, based on the Distributed Power Flow controller model built in advance and constraints, is minimised as target with cost of electricity-generating, formulates operation plan a few days ago；Secondly, error is predicted based on the operation plan a few days ago and wind-powered electricity generation, corrects current time section in real time to the generation schedule of next scheduling instance and the operation control strategy of Distributed Power Flow controller；Then, Real-Time Scheduling plan is formulated with the minimum optimization aim of cost of electricity-generating in single period, and wind power plant is scheduled based on the Real-Time Scheduling plan.The present invention proposes a kind of economic security and more accurate wind power plant Optimization Scheduling, by formulating rational generation schedule, improves system operation economy, reduces unnecessary wind-abandoning phenomenon；The economy for effectively promoting wind electricity digestion level and operation of power networks provides a kind of resolving ideas for the following electrical network economy sacurity dispatching operation.
Description
Technical field
The present invention relates to a kind of wind power plant Optimization Scheduling of controller containing Distributed Power Flow, belong to new energy field,
Flexible ac transmission technology field.
Background technology
Energy crisis and carbon emission problem increasingly prominent is so that be the regenerative resource of representative in countries in the world using wind-powered electricity generation
Keep rapid development trend.It is intermittent to be controlled for electric power system tide with fluctuation however after large-scale wind power integration
And scheduling brings huge challenge.As some areas wind-powered electricity generation permeability is continuously increased, power grid security caused by wind-electricity integration
Stable problem is very important, cannot such as formulate rational generation schedule, unnecessary wind-abandoning phenomenon will occurs, increases system operation
Cost.Therefore how to dissolve wind-powered electricity generation as far as possible under the premise of ensureing system safe and stable operation becomes urgent problem to be solved.
With the power electronics of power transmission network in electric system, flexible ac transmission technology (flexible AC
Transmission system, FACTS) it gradually plays an important role in electric power system tide control aspect, Future Power System
It will gradually change from " source lotus bilateral " synthetic operation to " source net lotus " friendly interactive direction, therefore merge grid side FACTS equipment
With conventional electric power systematic economy scheduling model, have broad application prospects in terms of Optimal Power Flow, consumption new energy.
Invention content
Goal of the invention：The present invention proposes that the wind power plant of a kind of economic security and the more accurate controller containing Distributed Power Flow is excellent
Change dispatching method, by formulating rational generation schedule, improves system operation economy, reduce unnecessary wind-abandoning phenomenon.
Technical solution：The wind power plant Optimization Scheduling of the controller of the present invention containing Distributed Power Flow, including it is following
Step：
(1) based on the Distributed Power Flow controller model built in advance and constraints, mesh is minimised as with cost of electricity-generating
Mark formulates operation plan a few days ago；
(2) it is based on the operation plan a few days ago and wind-powered electricity generation predicts error, correct current time section in real time to next scheduling
The generation schedule at moment and the operation control strategy of Distributed Power Flow controller；
(3) Real-Time Scheduling plan is formulated with the minimum optimization aim of cost of electricity-generating in single period, and is based on the real-time tune
Degree plan is scheduled wind power plant.
Constraints described in step (1) includes mainly Power Systems Constraints of Equilibrium, security constraint and distribution
Formula flow controller physics and operation constraint.
The step (1) includes the following steps：
(11) installation number of Distributed Power Flow controller is arranged in input system network parameter；
(12) mathematical model for establishing the controller containing Distributed Power Flow, obtains power flowcontrol expression formula；
(13) target making operation plan a few days ago is minimised as with cost of electricity-generating, optimization aim is：
Constraints is：
Lkt-Bk(θmt-θnt)-BkVqkt=0
|Lkt|≤Lklim
-π≤θnt≤π
Wherein, T represents time interval, and K is wind power plant, and G is generator quantity, Pw.k.tAnd Pg.k.tRespectively represent t moment
The active power that k wind power plant and thermal power plant send out, Cw.kAnd Cg.kThe respectively power generation of k-th of wind power plant and k-th of thermal power plant
Cost, LktFor the active power of t moment circuit k, DntFor the load value of the prediction at t moment node n,δ + (n)、δ - (n)Respectively with
N nodes are the circuit of end and head end, θntFor the voltage phase angle of node n, VqktFor Distributed Power Flow controller on t moment circuit k
Injecting voltage, BkFor the admittance of circuit k,For the predicted value of t moment wind power plant w,Respectively generating set g
Active power output upper and lower bound, RSVgtFor the spare of generating set g,For the climbing rate of generating set g, RSVt sreqWhen being t
Etching system it is required spare, η is proportionality coefficient, the relationship that reflection fired power generating unit creep speed and instantaneous stand-by call, LklimFor
The thermostabilization limit of kth circuit, NkFor the installation number of Distributed Power Flow controller on circuit k, ukFor 0-1 integer variables, uk
=1 indicates to install Distributed Power Flow controller, u on circuit kkIt is fitted without Distributed Power Flow controller on=0 expression circuit k；
Nk.maxAnd Nk.minThe upper and lower bound of Distributed Power Flow controller installation number, N on respectively circuit kTFor Distributed Power Flow control
Device processed can put into sum,WithThe upper limit of single Distributed Power Flow controller injecting voltage is under on respectively circuit k
Limit.
Real-time amendment described in step (2) carried out rolling amendment with 1 hour for the period.
The optimization aim of Real-Time Scheduling plan described in step (3) is：
Constraints is：
Lkt-Bk(θmt-θnt)-BkVqkt=0
|Lkt|≤Lklim
-π≤θnt≤π
Wherein Δ PwtWind-powered electricity generation prediction error is represented,For going out for the t moment fired power generating unit g that is determined by operation plan a few days ago
Power,For the installation number for the Distributed Power Flow controller that operation plan a few days ago determines.
Advantageous effect：Compared with prior art, beneficial effects of the present invention：1, operation plan a few days ago provided by the invention and
Real-Time Scheduling plan considers the Real-time Power Flow control ability of DPFC, while in Real-Time Scheduling using cost of electricity-generating as optimization aim
It predicts that error corrects scheduling result a few days ago in real time according to wind-powered electricity generation in the works, improves the model accuracy of scheduling；2, this hair
It is bright effectively to promote wind electricity digestion level and the economy of operation of power networks, provide one for the following electrical network economy sacurity dispatching operation
Kind resolving ideas.
Description of the drawings
Fig. 1 is the flow chart of the present invention；
Fig. 2 is somewhere load and wind-powered electricity generation prediction curve for 24 hours a few days ago；
Fig. 3 is the IEEE-RTS79 system diagrams installed after DPFC；
Fig. 4 is that scheduling phase, the front and back wind-powered electricity generation online power contrast of DPFC installations scheme a few days ago；
Fig. 5 is Real-Time Scheduling stage, the front and back wind-powered electricity generation online power contrast's figure of DPFC installations.
Specific implementation mode
The present invention will be further described below with reference to the drawings.
As shown in Figure 1, the wind power plant Optimized Operation side of one kind controller containing Distributed Power Flow (DPFC) proposed by the present invention
Method, it is intended to provide a kind of economic security and more accurate scheduling model for future power network development, include mainly：Based on advance structure
Distributed Power Flow controller model and constraints, target is minimised as with cost of electricity-generating, formulates operation plan a few days ago；With 1h
Rolling amendment is carried out for the period, short-term wind-electricity predictive information is considered in each rolling amendment, on the basis of operation plan a few days ago
On, current time section is corrected in real time to the generation schedule of next scheduling instance and the operation control strategy of DPFC；With single period
The interior minimum optimization aim of cost of electricity-generating formulates Real-Time Scheduling plan, and is adjusted to wind power plant based on the Real-Time Scheduling plan
Degree.Ideally, DPFC injects the voltage vertical with line current to circuit, is realized to circuit biography by controlling injecting voltage
The control of defeated power, the power transmission network of voltage levels, the active transimission power of circuit are expressed as：
Simulation analysis is carried out using IEEE-RTS79 systems, IEEE-RTS79 systems such as Fig. 3 after DPFC is installed, at No. 19
Access capacity is the wind turbine of 800MW at node, and on the basis of ensureing systematic economy safe operation, DPFC improves wind electricity digestion rate
Best position, and combine the 24 hours load datas in somewhere, wind power prediction and prediction error such as Fig. 2, wind-powered electricity generation is pre-
Survey error has certain positive correlation relative to wind-powered electricity generation prediction power, considers that wind-powered electricity generation prediction error can improve the accurate of scheduling model
Degree.To encourage wind-powered electricity generation online, cost of wind power generation is disregarded in Optimized model, even CwIt is zero.Assuming that 150 can be installed in system altogether
Platform capacity is the DPFC of 70kVA, and distribution and installation site by shaft tower are limited, and every 1.5 kilometers can at most fill per phase line
If a DPFC.
It is dispatched a few days ago using the lowest cost as optimization aim：
Constraints is：
Lkt-Bk(θmt-θnt)-BkVqkt=0
|Lkt|≤Lklim
-π≤θnt≤π
Wherein, T represents time interval, and K is wind power plant, and G is generator quantity, Pw.k.tAnd Pg.k.tRespectively represent t moment
The active power that k wind power plant and thermal power plant send out, Cw.kAnd Cg.kThe respectively power generation of k-th of wind power plant and k-th of thermal power plant
Cost, LktFor the active power of t moment circuit k, DntFor the load value of the prediction at t moment node n,δ + (n)、δ - (n)Respectively with
N nodes are the circuit of end and head end, θntFor the voltage phase angle of node n, VqktFor the injecting voltage of DPFC on t moment circuit k,
BkFor the admittance of circuit k,For the predicted value of t moment wind power plant w, Pg max、Pg minRespectively in the active power output of generating set g
Limit and lower limit, RSVgtFor the spare of generating set g,For the climbing rate of generating set g, RSVt sreqIt is the required of t moment system
Spare, η is proportionality coefficient, the relationship that reflection fired power generating unit creep speed is called with instantaneous stand-by, LklimFor the heat of kth circuit
Stability limit, NkFor the installation number of DPFC on circuit k, ukFor 0-1 integer variables, ukDPFC, u are installed on=1 expression circuit kk
It is fitted without DPFC on=0 expression circuit k；Nk.maxAnd Nk.minThe upper and lower bound of DPFC installation numbers, N on respectively circuit kT
Sum can be put into for DPFC,WithThe upper and lower bound of single DPFC injecting voltages on respectively circuit k.
Generation schedule off-set phenomenon caused by error is predicted to eliminate wind-powered electricity generation a few days ago, and Real-Time Scheduling is with single period economic cost
For optimal objective：
Constraints is：
Lkt-Bk(θmt-θnt)-BkVqkt=0
|Lkt|≤Lklim
-π≤θnt≤π
Wherein Δ PwtWind-powered electricity generation prediction error is represented,For going out for the t moment fired power generating unit g that is determined by operation plan a few days ago
Power,The DPFC installation numbers determined for operation plan a few days ago.
When counting and installing DPFC and be fitted without DPFC, the scheduling result of Real-Time Scheduling is as shown in table 1, a few days ago and in real time
Fig. 4 and Fig. 5 are shown in specific operation plan arrangement.
1 Real-Time Scheduling result of table
It these are only the embodiment of the present invention, be not intended to restrict the invention, all within the spirits and principles of the present invention,
Any modification, equivalent substitution, improvement and etc. done are all contained in and apply within pending scope of the presently claimed invention.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, the application can be used in one or more wherein include computer usable program code computer
The computer program production implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to method, the flow of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
It these are only the embodiment of the present invention, be not intended to restrict the invention, it is all in the spirit and principles in the present invention
Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it
It is interior.
Claims (5)
1. a kind of wind power plant Optimization Scheduling of controller containing Distributed Power Flow, which is characterized in that include the following steps：
(1) based on the Distributed Power Flow controller model built in advance and constraints, target is minimised as with cost of electricity-generating, is made
Operation plan before settled date；
(2) it is based on the operation plan a few days ago and wind-powered electricity generation predicts error, correct current time section in real time to next scheduling instance
Generation schedule and Distributed Power Flow controller operation control strategy；
(3) Real-Time Scheduling plan is formulated with the minimum optimization aim of cost of electricity-generating in single period, and is based on the Real-Time Scheduling meter
It draws and wind power plant is scheduled.
2. the wind power plant Optimization Scheduling of the controller according to claim 1 containing Distributed Power Flow, which is characterized in that step
Suddenly the constraints described in (1) includes mainly Power Systems Constraints of Equilibrium, security constraint and Distributed Power Flow control
Implements are managed and operation constraint.
3. the wind power plant Optimization Scheduling of the controller according to claim 1 containing Distributed Power Flow, which is characterized in that institute
Step (1) is stated to include the following steps：
(11) installation number of Distributed Power Flow controller is arranged in input system network parameter；
(12) mathematical model for establishing the controller containing Distributed Power Flow, obtains power flowcontrol expression formula；
(13) target making operation plan a few days ago is minimised as with cost of electricity-generating, optimization aim is：
Constraints is：
Lkt-Bk(θmt-θnt)-BkVqkt=0
|Lkt|≤Lklim
-π≤θnt≤π
Wherein, T represents time interval, and K is wind power plant, and G is generator quantity, Pw.kAnd P .tg.k.tRespectively represent t moment k-th
The active power that wind power plant and thermal power plant send out, Cw.kAnd Cg.kRespectively the power generation of k-th of wind power plant and k-th of thermal power plant at
This, LktFor the active power of t moment circuit k, DntFor the load value of the prediction at t moment node n, δ+(n)、δ-(n) it is respectively
Using n nodes as the circuit of end and head end, θntFor the voltage phase angle of node n, VqktIt is controlled for Distributed Power Flow on t moment circuit k
The injecting voltage of device, BkFor the admittance of circuit k,For the predicted value of t moment wind power plant w, Pg max、Pg minRespectively generating set g
Active power output upper and lower bound, RSVgtFor the spare of generating set g,For the climbing rate of generating set g, RSVt sreqWhen being t
Etching system it is required spare, η is proportionality coefficient, the relationship that reflection fired power generating unit creep speed and instantaneous stand-by call, LklimFor
The thermostabilization limit of kth circuit, NkFor the installation number of Distributed Power Flow controller on circuit k, ukFor 0-1 integer variables, uk
=1 indicates to install Distributed Power Flow controller, u on circuit kkIt is fitted without Distributed Power Flow controller on=0 expression circuit k；
Nk.maxAnd Nk.minThe upper and lower bound of Distributed Power Flow controller installation number, N on respectively circuit kTFor Distributed Power Flow control
Device processed can put into sum,WithThe upper limit of single Distributed Power Flow controller injecting voltage is under on respectively circuit k
Limit.
4. the wind power plant Optimization Scheduling of the controller according to claim 1 containing Distributed Power Flow, which is characterized in that step
Suddenly the real-time amendment described in (2) carried out rolling amendment with 1 hour for the period.
5. the Optimization Scheduling of the controller according to claim 1 containing Distributed Power Flow, which is characterized in that step (3)
The optimization aim of the Real-Time Scheduling plan is：
Constraints is：
Lkt-Bk(θmt-θnt)-BkVqkt=0
|Lkt|≤Lklim
-π≤θnt≤π
Wherein Δ PwtWind-powered electricity generation prediction error is represented,For the output of the t moment fired power generating unit g determined by operation plan a few days ago,
For the installation number for the Distributed Power Flow controller that operation plan a few days ago determines.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109829591A (en) * | 2019-02-15 | 2019-05-31 | 上海电力设计院有限公司 | A kind of dispatching method of wind-electricity integration, device, equipment and storage medium |
| CN110034587A (en) * | 2019-04-22 | 2019-07-19 | 广东电网有限责任公司 | A kind of Optimization Scheduling |
| CN112381375A (en) * | 2020-11-09 | 2021-02-19 | 浙江大学 | Power grid economic operation domain rapid generation method based on power flow distribution matrix |
| CN112803418A (en) * | 2021-01-28 | 2021-05-14 | 武汉大学 | Distributed power flow controller configuration method considering load and new energy output uncertainty |
| CN112952839A (en) * | 2021-01-29 | 2021-06-11 | 国网内蒙古东部电力有限公司 | Power distribution network economic dispatching evaluation method based on controllable load |
| CN113725916A (en) * | 2021-08-31 | 2021-11-30 | 南京邮电大学 | DPFC optimal configuration method for promoting high-permeability new energy consumption |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109829591A (en) * | 2019-02-15 | 2019-05-31 | 上海电力设计院有限公司 | A kind of dispatching method of wind-electricity integration, device, equipment and storage medium |
| CN110034587A (en) * | 2019-04-22 | 2019-07-19 | 广东电网有限责任公司 | A kind of Optimization Scheduling |
| CN112381375A (en) * | 2020-11-09 | 2021-02-19 | 浙江大学 | Power grid economic operation domain rapid generation method based on power flow distribution matrix |
| CN112381375B (en) * | 2020-11-09 | 2024-03-29 | 浙江大学 | Rapid generation method for power grid economic operation domain based on tide distribution matrix |
| CN112803418A (en) * | 2021-01-28 | 2021-05-14 | 武汉大学 | Distributed power flow controller configuration method considering load and new energy output uncertainty |
| CN112803418B (en) * | 2021-01-28 | 2022-07-08 | 武汉大学 | Optimal configuration method of distributed power flow controller |
| CN112952839A (en) * | 2021-01-29 | 2021-06-11 | 国网内蒙古东部电力有限公司 | Power distribution network economic dispatching evaluation method based on controllable load |
| CN112952839B (en) * | 2021-01-29 | 2022-09-20 | 国网内蒙古东部电力有限公司 | Power distribution network economic dispatching evaluation method based on controllable load |
| CN113725916A (en) * | 2021-08-31 | 2021-11-30 | 南京邮电大学 | DPFC optimal configuration method for promoting high-permeability new energy consumption |
| CN113725916B (en) * | 2021-08-31 | 2024-01-12 | 南京邮电大学 | DPFC (differential pressure filter) optimal configuration method for promoting new energy consumption with high permeability |
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Application publication date: 20180904 |