CN108288854A - One introduces a collection net lotus control method for coordinating and system - Google Patents
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses an introduces a collection net lotus control method for coordinating and systems, using cost of electricity-generating as optimization aim, structure source net lotus coordinates control majorized function, Demand Side Response and Distributed Power Flow controller joint are participated in into power grid regulation, on the basis of ensureing users'comfort, it is guided by reasonable prices so that wind electricity digestion maximizes while scheduling cost is minimum.The present invention has given full play to the effect of intelligent grid, from source net lotus angle system the considerations of the economical operation of power grid and maximally utilizing for new energy, there is certain directive significance to the following power grid energy revolution of reply.
Description
Technical field
The present invention relates to new energy field, flexible ac transmission technology field and Demand Side Response fields, more particularly to
One introduces a collection net lotus control method for coordinating and system.
Background technology
Wind-power electricity generation is most ripe one of regenerative resource, however its randomness for contributing and intermittent so that conventional electricity
The adjusting pressure in source constantly increases, and traditional scheduler mode is difficult to meet the submitting demand of large-scale wind power.Meanwhile large-scale wind power
It is grid-connected to be faced with a series of predicaments such as power grid consumption level is limited, Transmission Corridor is narrow, ability to send outside is obstructed, create transmission line of electricity
Or increase the measures such as capacity of trunk often due to the reasons such as cost, performance difficulty lack feasibility, it is therefore necessary to explore and promote
The new approaches of wind electricity digestion.
With the development of intelligent grid, the maturation of power electronic technique, by Demand Side Response (Demand Response,
DR) and Distributed Power Flow controller (Distributed Power Flow Controller, DPFC) joint participates in power grid tune
Control is coordinated in control, i.e. source net lotus, can improve Flexible Power Grid regulating power, can also promote existing power grid power supply capacity, promotes wind
Electricity consumption.Wherein, conventional electric power generation unit and wind power plant are mains side；A kind of D-FACTS dresses of the DPFC as control electric network swim
It sets, enhances the flexible controllability of power grid, represent grid side in transmission line of electricity；Load side mainly considers intelligent appliance
The demand response potentiality of (including air-conditioning, water heater and electric vehicle etc.).
However existing research lacks from source net load interaction angle mainly from single link or local problem and considers wind-powered electricity generation
Wind-abandoning phenomenon.
Invention content
Goal of the invention：In view of the above problems, the present invention proposes that one kind can promote wind electricity digestion and reduce scheduling cost
Source net lotus control method for coordinating and system.
Technical solution：To achieve the purpose of the present invention, the technical solution adopted in the present invention is：One introduces a collection net lotus coordinates control
Method processed, including step：
(1) based on the Distributed Power Flow controller mathematical model and Demand Side Response potentiality mathematical model built in advance, with
Cost minimization is that optimization aim builds source net lotus coordination control majorized function；
(2) Distributed Power Flow controller and Demand Side Response constraint are added on the basis of traditional power constraint, limits source
Net lotus coordinates the constraints of control majorized function；
(3) it solves source net lotus and coordinates control majorized function, obtain optimal solution；
(4) it is scheduled according to optimal solution operation result.
Further, in the step (3), if cannot get optimal solution return to step (2) adjusting parameter.
Further, in the step (1), the cost include conventional power unit cost of electricity-generating, wind-powered electricity generation cost of electricity-generating, can in
Disconnected load subsidy cost, excitation load subsidize cost.
Further, in the step (2), the constraints includes traditional power constraint, wind power output constraint, demand
Side response constraint, the constraint of Distributed Power Flow controller.
Further, in the step (1), Distributed Power Flow controller mathematical model is：
Wherein, P12For the active transimission power of circuit, δ phase angle differences between node voltage, X indicates line reactance, | VDPFC| table
Show the inverter voltage of Distributed Power Flow controller.
Further, in the step (1), Demand Side Response potentiality mathematical model is：
Wherein, N1For the number of air-conditioning,For the rated power of i-th of air-conditioning,It is i-th of air-conditioning in t moment
Demand response potentiality state；N2For the number of water heater,For the rated power of j-th of water heater,For j-th of heat
Demand response potentiality state of the hydrophone in t moment；N3For the number of electric vehicle,For the rated power of k-th of electric vehicle,For k-th of electric vehicle t moment demand response potentiality state.
Further, in the step (1), source net lotus coordinates control majorized function and is：
Wherein, T represents time interval；K is wind-powered electricity generation number, Pw.k.tRepresent the wattful power that k-th of wind power plant of t moment is sent out
Rate, Cw.kFor the cost of electricity-generating of k-th of wind power plant；G is generator quantity, Pg.k.tRepresent that k-th of thermal power plant of t moment send out has
Work(power, Cg.kFor the cost of electricity-generating of k-th of thermal power plant；L1For interruptible load quantity,It can be interrupted for k-th for t moment negative
The power of lotus reduction,Cost is subsidized in response for power grid to k-th of interruptible load of user；L2To encourage load quantity,The increased power of load is encouraged for t moment k-th,For power grid to k-th of user excitation load response subsidy at
This.
Further, in the step (2), the constraints that source net lotus coordinates control majorized function is：
Lkt-Bk(θmt-θnt)-BkVqkt=0
Wherein, LktFor the active power of t moment circuit k, δ+(n)、δ-(n) it is respectively using n nodes as end and head end
Circuit, DntFor the load value of the prediction at t moment node n, θntFor the voltage phase angle of node n, VqktFor on t moment circuit k
The injecting voltage of DPFC, BkFor the admittance of circuit k.
Demand Side Response constraints：
Wherein, DRP-For the upper limit of the power of interruptible load, DRP+To encourage the upper limit of the power of load.
Wind power output constraints：
Wherein,For the predicted value of t moment wind power plant w.
Traditional power constraint condition：
|Lkt|≤Lklim
-π≤θnt≤π
Wherein,The respectively active power output bound of generating set g, RSVgtFor the spare of generating set g,For the climbing rate of generating set g,It is the required spare of t moment system, η is proportionality coefficient, and reflection fired power generating unit is climbed
The relationship that slope rate is called with instantaneous stand-by, LklimFor the thermostabilization limit of kth circuit.
Distributed Power Flow controller constraints：
Wherein, NkFor the installation number of DPFC on circuit k；ukFor 0-1 integer variables, uk=1 and uk=0 indicates line respectively
Whether DPFC is installed on the k of road；Nk.maxAnd Nk.minThe bound of DPFC installation numbers on respectively circuit k, with the length of circuit and
The distribution of shaft tower is related；NTSum can be put into for DPFC；WithSingle DPFC injecting voltages is upper and lower on respectively circuit k
Limit；SDPFCFor DPFC capacity, Ik.maxFor the rated current of circuit k.
One introduces a collection net lotus coordinated control system, including source net lotus coordinate control majorized function structure module, constraints structure
Model block, optimal solution module and scheduler module；The source net lotus coordinates control majorized function and builds module, based on what is built in advance
Distributed Power Flow controller mathematical model and Demand Side Response potentiality mathematical model build source net by optimization aim of cost minimization
Lotus coordinates control majorized function；The constraints builds module, and Distributed Power Flow is added on the basis of traditional power constraint
Controller and Demand Side Response constraint, limit the constraints that source net lotus coordinates control majorized function；The optimal solution module, is asked
Xie Yuan net lotuses coordinate control majorized function, obtain optimal solution；The scheduler module is scheduled according to optimal solution operation result.
Further, if the optimal solution module cannot get optimal solution, the constraints structure module adjustment is returned
Parameter.
Advantageous effect：The source net lotus control method for coordinating of the present invention is considering to contain wind-powered electricity generation using cost of electricity-generating as optimization aim
On the basis of the economical of system, safety and power quality, the FACTS devices not available for traditional power grid and demand is added
Side response technology dissolves problem for the new energy under intelligent grid development prospect and provides from " source-net-lotus " global angle
A kind of resolving ideas can promote wind electricity digestion and reduce scheduling cost.
Description of the drawings
Fig. 1 is the source net lotus control method for coordinating flow chart of the present invention；
Fig. 2 is Distributed Power Flow controller DC flow model figure；
Fig. 3 is IEEE-RTS79 system construction drawings；
Fig. 4 is wind electricity digestion figure before and after the net lotus of source.
Specific implementation mode
Technical scheme of the present invention is further described with reference to the accompanying drawings and examples.
Net lotus control method for coordinating in source of the present invention as shown in Figure 1, it is intended to improve wind while reducing scheduling cost
Electric consumption rate, specifically includes step：
(1) determination of Distributed Power Flow controller mathematical model；
In voltage levels power transmission network, Distributed Power Flow controller DC flow model is as shown in Figure 2, wherein V1Table
Show the voltage magnitude of node 1, V2Indicate that the voltage magnitude of node 2, δ 1 indicate that the voltage phase angle of node 1, δ 2 indicate node 2
Voltage phase angle.
Assuming that all node voltage amplitudes are 1pu, phase angle difference δ is smaller between node voltage, and the active transimission power of circuit can
It is expressed as：
Wherein, X indicates line reactance, | VDPFC| indicate the inverter voltage of Distributed Power Flow controller.
(2) determination of Demand Side Response potentiality mathematical model, the main demand response potentiality state for considering intelligent appliance, packet
Include air-conditioning, water heater and electric vehicle etc.；
It is represented by the Demand-side demand response potentiality at t+1 moment：
Wherein, N1For the number of air-conditioning,For the rated power of i-th of air-conditioning,It is i-th of air-conditioning in t moment
Demand response potentiality state；
N2For the number of water heater,For the rated power of j-th of water heater,It is j-th of water heater in t moment
Demand response potentiality state；
N3For the number of electric vehicle,For the rated power of k-th of electric vehicle,For k-th of electric vehicle
In the demand response potentiality state of t moment.
(3) structure source net lotus coordinate control majorized function, consider conventional power unit cost of electricity-generating, wind-powered electricity generation cost of electricity-generating, can in
Disconnected load and the subsidy cost for encouraging load, using cost minimization as optimization aim；
Wherein, T represents time interval；K is wind-powered electricity generation number, Pw.k.tRepresent the wattful power that k-th of wind power plant of t moment is sent out
Rate, Cw.kFor the cost of electricity-generating of k-th of wind power plant；
G is generator quantity, Pg.k.tRepresent the active power that k-th of thermal power plant of t moment sends out, Cg.kFor k-th of thermal power plant
Cost of electricity-generating；
L1For interruptible load quantity,For the power of k-th of interruptible load reduction of t moment, CL1.kBe power grid to use
Cost is subsidized in the response of k-th of interruptible load at family；
L2To encourage load quantity,For k-th of excitation increased power of load of t moment, CL2.kIt is power grid to user's
Cost is subsidized in the response of k-th of excitation load.
(4) constraints, including the constraint of power system security constraints, power grid power quality, wind power output constraint, Demand-side are limited
Response constraint, the constraint of Distributed Power Flow amount controller, the constraint of Distributed Power Flow controller injecting voltage etc.；
Distributed Power Flow controller and Demand Side Response constraints are added on the basis of traditional power constraint condition：
Lkt-Bk(θmt-θnt)-BkVqkt=0
Wherein, LktFor the active power of t moment circuit k, δ+(n)、δ(n) it is respectively using n nodes as end and head end
Circuit, DntFor the load value of the prediction at t moment node n, θntFor the voltage phase angle of node n, VqktFor on t moment circuit k
The injecting voltage of DPFC, BkFor the admittance of circuit k.
Demand Side Response constraints：
Wherein, DRP-For the upper limit of the power of interruptible load, DRP+To encourage the upper limit of the power of load.
Wind power output constraints：
Wherein,For the predicted value of t moment wind power plant w.
Traditional power constraint condition：
|Lkt|≤Lklim
-π≤θnt≤π
Wherein,The respectively active power output bound of generating set g, RSVgtFor the spare of generating set g,For the climbing rate of generating set g,It is the required spare of t moment system, η is proportionality coefficient, and reflection fired power generating unit is climbed
The relationship that slope rate is called with instantaneous stand-by, LklimFor the thermostabilization limit of kth circuit.
Distributed Power Flow controller constraints：
Wherein, NkFor the installation number of DPFC on circuit k；ukFor 0-1 integer variables, uk=1 and uk=0 indicates line respectively
Whether DPFC is installed on the k of road；Nk.maxAnd Nk.minThe bound of DPFC installation numbers on respectively circuit k, with the length of circuit and
The distribution of shaft tower is related；NTSum can be put into for DPFC；WithSingle DPFC injecting voltages is upper and lower on respectively circuit k
Limit；SDPFCFor DPFC capacity, Ik.maxFor the rated current of circuit k.
(5) it is solved, obtains optimal solution and carry out step (6), cannot get optimal solution return to step (4) adjusting parameter；
(6) it is scheduled according to optimal solution operation result.
Comprehensively utilize the Real-time Power Flow control ability and Demand Side Response of Distributed Power Flow controller (DPFC) in network
(DR) ability is guided on the basis of ensureing users'comfort by reasonable prices so that wind while scheduling cost is minimum
Electricity consumption maximizes.
Carry out application source net lotus control method for coordinating with specific network as shown in Figure 3, acquires the basic letter of network shown in Fig. 3
Breath, the network include 24 nodes and 38 transmission lines of electricity, consider the wind turbine that access capacity is 800MW at No. 19 nodes, false
If can install the DPFC that 150 capacity are 70kVA in system altogether, selecting wind turbine, nearby 20 nodes are saved as excitation load point, 14
Point is used as interruptible load point.
With the minimum optimization aim of cost：
Constraints：
Lkt-Bk(θmt-θnt)-BkVqkt=0
|Lkt|≤Lklim
-π≤θnt≤π
Result of calculation is as shown in Table 1, 2 and 3.
Table 1
Table 2
| Load can be encouraged | 302.74MW |
| Interruptible load | 1536.87MW |
Table 3
| Cost | Dollar |
| Traditional power grid | 26524 |
| Intelligent grid | 24990 |
Known to table 1,2 and 3, Fig. 4, when using traditional Optimal Operation Model, system wind electricity digestion rate is 0.9123, wind
Machine output restricted period in 1 day 24 period has 9, and it is 783.4MW.h to be limited electricity；Consider that intelligent grid source net lotus is coordinated
When interactive, wind electricity digestion rate is up to 0.9979, and wind turbine output restricted period is reduced to 2, and limited electricity is only 18.4MW.h, wind-powered electricity generation
Consumption amount significantly improves, and effectively reduces and abandons air quantity.
Since government subsidizes wind electricity digestion abandoning the wind period, wind electricity digestion is more, is more conducive to system low cost
Operation.Although DR effects can increase system operation cost, under the Optimized model, by reasonably selecting DR cost coefficients, it is
The power generation of normal power supplies can be reduced while increasing the output of wind-powered electricity generation by uniting, and from table three it is found that under the net load interaction of source, dispatch cost
Reduce 5.78%, it is for practical bulk power grid or considerable.
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 (10)
1. an introduces a collection net lotus control method for coordinating, it is characterised in that：Including step：
(1) based on the Distributed Power Flow controller mathematical model and Demand Side Response potentiality mathematical model built in advance, with cost
Minimum optimization aim structure source net lotus coordinates control majorized function；
(2) Distributed Power Flow controller and Demand Side Response constraint are added on the basis of traditional power constraint, limits source net lotus
Coordinate the constraints of control majorized function；
(3) it solves source net lotus and coordinates control majorized function, obtain optimal solution；
(4) it is scheduled according to optimal solution operation result.
2. net lotus control method for coordinating in source according to claim 1, it is characterised in that：In the step (3), if cannot get
Optimal solution return to step (2) adjusting parameter.
3. net lotus control method for coordinating in source according to claim 1, it is characterised in that：In the step (1), the cost
Cost is subsidized including conventional power unit cost of electricity-generating, wind-powered electricity generation cost of electricity-generating, interruptible load subsidy cost, excitation load.
4. net lotus control method for coordinating in source according to claim 1, it is characterised in that：In the step (2), the constraint
Condition includes traditional power constraint, wind power output constraint, Demand Side Response constraint, the constraint of Distributed Power Flow controller.
5. net lotus control method for coordinating in source according to claim 1, it is characterised in that：In the step (1), distributed tide
Stream controller mathematical model is：
Wherein, P12For the active transimission power of circuit, δ phase angle differences between node voltage, X indicates line reactance, | VDPFC| it indicates to divide
The inverter voltage of cloth flow controller.
6. net lotus control method for coordinating in source according to claim 5, it is characterised in that：In the step (1), Demand-side is rung
The potentiality mathematical model is answered to be：
Wherein, N1For the number of air-conditioning,For the rated power of i-th of air-conditioning,For i-th of air-conditioning t moment demand
Respond potentiality state；N2For the number of water heater,For the rated power of j-th of water heater,Exist for j-th of water heater
The demand response potentiality state of t moment；N3For the number of electric vehicle,For the rated power of k-th of electric vehicle,
For k-th of electric vehicle t moment demand response potentiality state.
7. net lotus control method for coordinating in source according to claim 6, it is characterised in that：In the step (1), source net lotus association
Regulating and controlling majorized function processed is：
Wherein, T represents time interval；K is wind-powered electricity generation number, Pw.k.tThe active power that k-th of wind power plant of t moment is sent out is represented,
Cw.kFor the cost of electricity-generating of k-th of wind power plant；G is generator quantity, Pg.k.tRepresent the wattful power that k-th of thermal power plant of t moment sends out
Rate, Cg.kFor the cost of electricity-generating of k-th of thermal power plant；L1For interruptible load quantity,Subtract for k-th of interruptible load of t moment
Few power,Cost is subsidized in response for power grid to k-th of interruptible load of user；L2To encourage load quantity,
The increased power of load is encouraged for t moment k-th,Cost is subsidized in response for power grid to k-th of excitation load of user.
8. net lotus control method for coordinating in source according to claim 7, it is characterised in that：In the step (2), source net lotus association
The constraints of regulation and control majorized function processed is：
Lkt-Bk(θmt-θnt)-BkVqkt=0
Wherein, LktFor the active power of t moment circuit k, δ+ (n)、δ- (n)Respectively using n nodes as the circuit of end and head end, Dnt
For the load value of the prediction at t moment node n, θntFor the voltage phase angle of node n, VqktFor the injection of DPFC on t moment circuit k
Voltage, BkFor the admittance of circuit k；
Demand Side Response constraints：
Wherein, DRP-For the upper limit of the power of interruptible load, DRP+To encourage the upper limit of the power of load；
Wind power output constraints：
Wherein,For the predicted value of t moment wind power plant w；
Traditional power constraint condition：
|Lkt|≤Lklim
-π≤θnt≤π
Wherein,The respectively active power output bound of generating set g, RSVgtFor the spare of generating set g,For
The climbing rate of generating set g, RSVt sreqIt is the required spare of t moment system, η is proportionality coefficient, LklimFor the heat of kth circuit
Stability limit；
Distributed Power Flow controller constraints：
Wherein, NkFor the installation number of DPFC on circuit k；ukFor 0-1 integer variables；Nk.maxAnd Nk.minOn respectively circuit k
The bound of DPFC installation numbers；NTSum can be put into for DPFC；WithSingle DPFC injecting voltages on respectively circuit k
Bound；SDPFCFor DPFC capacity, Ik.maxFor the rated current of circuit k.
9. an introduces a collection net lotus coordinated control system, it is characterised in that：Including source net lotus coordination control majorized function structure module, about
Beam condition builds module, optimal solution module and scheduler module；
The source net lotus coordinates control majorized function and builds module, based on the Distributed Power Flow controller mathematical model built in advance
With Demand Side Response potentiality mathematical model, source net lotus is built as optimization aim using cost minimization and coordinates control majorized function；
The constraints builds module, and Distributed Power Flow controller is added on the basis of traditional power constraint and Demand-side is rung
It should constrain, limit the constraints that source net lotus coordinates control majorized function；
The optimal solution module solves source net lotus and coordinates control majorized function, obtains optimal solution；
The scheduler module is scheduled according to optimal solution operation result.
10. net lotus coordinated control system in source according to claim 9, it is characterised in that：If the optimal solution module obtains not
To optimal solution, then the constraints structure module adjusting parameter is returned.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109301817A (en) * | 2018-09-27 | 2019-02-01 | 南京工程学院 | A kind of Multiple Time Scales source net lotus coordinated scheduling method considering demand response |
| CN109301817B (en) * | 2018-09-27 | 2020-09-18 | 南京工程学院 | Multi-time scale source network load coordination scheduling method considering demand response |
| CN112072710A (en) * | 2020-07-31 | 2020-12-11 | 国网山东省电力公司经济技术研究院 | Source network load integrated economic dispatching method and system considering demand response |
| CN112072710B (en) * | 2020-07-31 | 2022-03-15 | 国网山东省电力公司经济技术研究院 | Source network load integrated economic dispatching method and system considering demand response |
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