CN107908877A - A kind of method and device for establishing distributed generation resource mathematics for programming model - Google Patents
A kind of method and device for establishing distributed generation resource mathematics for programming model Download PDFInfo
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Abstract
The invention discloses a kind of method and device for establishing distributed generation resource mathematics for programming model, by building comprehensive evaluation index Planning adaptation degree function according to Planning adaptation degree function and scene probability of happening, from the adaptability of the angle estimator programme of probability under random environment, and plan model is established based on the method, solve the power distribution network for not ensuring that access distributed generation resource by the planing method of nominal output in the prior art and meet various operation constraintss in operation, result in distributed generation resource operation can play the technical problem of deterioration under certain conditions.
Description
Technical field
The present invention relates to distribution network planning field, more particularly to a kind of method for establishing distributed generation resource mathematics for programming model
And device.
Background technology
As the alternative solution of power distribution network increase-volume, distributed generation resource with it is economical, flexibly, environmental protection and can avoid or delay electricity
The characteristics of net is built is paid close attention to be subject to planning personnel, and the net under the minimum and maximum method of operation is mainly considered in existing programme
Damage is minimum or Optimum cost is plan model.
However, the distributed generation resource power output of the various new energy forms of access power distribution network is influenced be subject to meteorological condition
Larger, fluctuation is frequent, amplitude is big, it is contemplated that accesses the distributed generation resource of power distribution network substantially from scheduling controlling, is adjusted in operation
Means are limited, and regulating measure does not catch up with the frequent change of the method for operation, so the consideration access that should try one's best in planning is distributed
Distribution network after power supply meets technological constraint at various operating conditions, reaches preferable operational effect.
The power distribution network for not ensuring that access distributed generation resource by the planing method of nominal output in the prior art is being run
In meet various operation constraintss, result in distributed generation resource operation and can play the technology of deterioration under certain conditions and ask
Topic.
The content of the invention
The present invention provides a kind of method and device for establishing distributed generation resource mathematics for programming model, for solving existing skill
The power distribution network for not ensuring that access distributed generation resource by the planing method of nominal output in art meets various operations in operation
Constraints, caused distributed generation resource operation can play the technical problem of deterioration under certain conditions.
A kind of method for establishing distributed generation resource mathematics for programming model provided by the invention, including：
Get the corresponding at least one installation distributed electrical of power output scene of at least one distributed generation resource
The power distribution network node number in source, the one-to-one distributed electrical of power distribution network node with least one installation distributed generation resource
The rated capacity in source, the unit power cost of distributed generation resource, discount rate, the service life of distributed generation resource, distributed generation resource
Corresponding cost of electricity-generating, the one-to-one unit capacity investment of power distribution network node with least one installation distributed generation resource
Expense, the line loss of the power distribution network, the line loss factor of influence of the power distribution network, voltage out-of-limit penalty coefficient, the out-of-limit punishment of power
In coefficient, the maximum of the power distribution network interior joint voltage, the minimum value and the power distribution network of the power distribution network interior joint voltage
The maximum of each branch transimission power；
According to the unit power cost, discount rate, the corresponding cost of electricity-generating of distributed generation resource, the service life, institute
State power distribution network node number, the rated capacity and unit capacity investment cost structure and at least one distributed electrical
The corresponding investment cost object function of power output scene in source；
Saved according in the voltage out-of-limit penalty coefficient, the maximum of the power distribution network interior joint voltage, the power distribution network
The minimum value of point voltage builds voltage corresponding with the power output scene of at least one distributed generation resource and gets over line function；
According to the maximum structure of each branch transimission power in the out-of-limit penalty coefficient of the power, the power distribution network and at least
The corresponding power of power output scene of one distributed generation resource gets over line function；
According to the line loss of the power distribution network, the line loss factor of influence of the power distribution network, the investment cost object function, electricity
Pressure more line function and power more line function build planning corresponding with the power output scene of at least one distributed generation resource
Fitness function；
Get scene probability of happening corresponding with the power output scene of at least one distributed generation resource, and according to
The Planning adaptation degree function and scene probability of happening structure comprehensive evaluation index Planning adaptation degree function.
Preferably, the investment cost object function is specially：
Wherein, i represents i-th of distributed generation resource, ndRepresent the power distribution network node of the installation distributed generation resource
Number, CiRepresent the corresponding cost of electricity-generating of distributed generation resource, PDGiRepresent the rated capacity of i-th of distributed generation resource, r
Represent the discount rate, m represents the service life of distributed generation resource.
Preferably, the voltage gets over line function and is specially：
Wherein, μ1Represent voltage out-of-limit penalty coefficient, nnodeRepresent power distribution network interior joint quantity, vmaxRepresent to save in power distribution network
The maximum of point voltage, vminRepresent the minimum value of power distribution network interior joint voltage.
Preferably, the power gets over line function and is specially：
Wherein, μ2Represent the out-of-limit penalty coefficient of power, nbranchRepresent the branch quantity in power distribution network, pmaxRepresent power distribution network
In each branch transimission power maximum.
Preferably, the Planning adaptation degree function corresponding with the power output scene of at least one distributed generation resource
Specially：
Wherein, w represents the line loss factor of influence of power distribution network, PlossRepresent the line loss of power distribution network.
Preferably, the comprehensive evaluation index Planning adaptation degree function is specially：
Wherein, n is that the power output scene for the distributed generation resource chosen is total, PkFor the power of k-th of distributed generation resource
The corresponding scene probability of happening of scene is exported, S is programme, and E [F (S)] is the object function desired value of programme.
A kind of device for establishing distributed generation resource mathematics for programming model provided by the invention, including：
First acquisition module, the power output scene for getting at least one distributed generation resource are corresponding at least
The power distribution network node number of one installation distributed generation resource, the power distribution network node one with least one installation distributed generation resource
The use of the rated capacity of one corresponding distributed generation resource, the unit power cost, discount rate, distributed generation resource of distributed generation resource
The corresponding cost of electricity-generating of the time limit, distributed generation resource, a pair of power distribution network node one with least one installation distributed generation resource
The unit capacity investment cost answered, the line loss of the power distribution network, the line loss factor of influence of the power distribution network, voltage out-of-limit punishment system
Number, the maximum of the out-of-limit penalty coefficient of power, the power distribution network interior joint voltage, the minimum value of the power distribution network interior joint voltage
With the maximum of each branch transimission power in the power distribution network；
First structure module, for according to the unit power cost, the corresponding power generation of discount rate, distributed generation resource into
This, the service life, the power distribution network node number, the rated capacity and the unit capacity investment cost structure with extremely
The corresponding investment cost object function of power output scene of a few distributed generation resource；
Second structure module, for the maximum according to the voltage out-of-limit penalty coefficient, the power distribution network interior joint voltage
Value, the minimum value of power distribution network interior joint voltage structure are corresponding with the power output scene of at least one distributed generation resource
Voltage get over line function；
3rd structure module, for according to each branch transimission power in the out-of-limit penalty coefficient of the power, the power distribution network
Maximum build corresponding with the power output scene of at least one distributed generation resource power and get over line function；
4th structure module, for the line loss according to the power distribution network, the line loss factor of influence of the power distribution network, the throwing
Rate object function, voltage more line function and power more line function structure are defeated with the power of at least one distributed generation resource
Go out the corresponding Planning adaptation degree function of scene；
First acquisition module, for getting field corresponding with the power output scene of at least one distributed generation resource
Scape probability of happening；
5th structure module, for building overall merit according to the Planning adaptation degree function and the scene probability of happening
Index planning fitness function.
Preferably described first structure module is used for：
According to the unit power cost, discount rate, the corresponding cost of electricity-generating of distributed generation resource, the service life, institute
State power distribution network node number, the rated capacity and unit capacity investment cost structure and at least one distributed electrical
The corresponding investment cost object function of power output scene in source, the investment cost object function are specially：
Wherein, i represents i-th of distributed generation resource, ndRepresent the power distribution network node of the installation distributed generation resource
Number, CiRepresent the corresponding cost of electricity-generating of distributed generation resource, PDGiRepresent the rated capacity of i-th of distributed generation resource, r
Represent the discount rate, m represents the service life of distributed generation resource；
The second structure module, specifically for according to the voltage out-of-limit penalty coefficient, power distribution network interior joint electricity
The power output of the maximum of pressure, the minimum value of power distribution network interior joint voltage structure and at least one distributed generation resource
The corresponding voltage of scene gets over line function, and the voltage gets over line function and is specially：
Wherein, μ1Represent voltage out-of-limit penalty coefficient, nnodeRepresent power distribution network interior joint quantity, vmaxRepresent to save in power distribution network
The maximum of point voltage, vminRepresent the minimum value of power distribution network interior joint voltage.
Preferably, the 3rd structure module is used for：
According to the maximum structure of each branch transimission power in the out-of-limit penalty coefficient of the power, the power distribution network and at least
The corresponding power of power output scene of one distributed generation resource gets over line function, and the power gets over line function and is specially：
Wherein, μ2Represent the out-of-limit penalty coefficient of power, nbranchRepresent the branch quantity in power distribution network, pmaxRepresent power distribution network
In each branch transimission power maximum；
The 4th structure module, is specifically used for：
According to the line loss of the power distribution network, the line loss factor of influence of the power distribution network, the investment cost object function, electricity
Pressure more line function and power more line function build planning corresponding with the power output scene of at least one distributed generation resource
Fitness function, the Planning adaptation degree function corresponding with the power output scene of at least one distributed generation resource are specific
For：
Wherein, w represents the line loss factor of influence of power distribution network, PlossRepresent the line loss of power distribution network.
Preferably, the 5th structure module is used for：
According to the Planning adaptation degree function and scene probability of happening structure comprehensive evaluation index Planning adaptation degree letter
Number, the comprehensive evaluation index Planning adaptation degree function are specially：
Wherein, n is that the power output scene for the distributed generation resource chosen is total, PkFor the power of k-th of distributed generation resource
The corresponding scene probability of happening of scene is exported, S is programme, and E [F (S)] is the object function desired value of programme.
As can be seen from the above technical solutions, the present invention has the following advantages：
A kind of method for establishing distributed generation resource mathematics for programming model provided by the invention, including：Get at least one
The power distribution network node number of the corresponding at least one installation distributed generation resource of the power output scene of the distributed generation resource, with extremely
The rated capacity of the one-to-one distributed generation resource of power distribution network node of a few installation distributed generation resource, distributed generation resource
Unit power cost, discount rate, the service life of distributed generation resource, the corresponding cost of electricity-generating of distributed generation resource, with least one
A installation one-to-one unit capacity investment cost of power distribution network node of distributed generation resource, the line loss of the power distribution network,
Line loss factor of influence, voltage out-of-limit penalty coefficient, the out-of-limit penalty coefficient of power, the power distribution network interior joint electricity of the power distribution network
The maximum of each branch transimission power in the maximum of pressure, the minimum value of the power distribution network interior joint voltage and the power distribution network；
According to the unit power cost, discount rate, the corresponding cost of electricity-generating of distributed generation resource, the service life, the power distribution network
The power of node number, the rated capacity and unit capacity investment cost structure and at least one distributed generation resource
Export the corresponding investment cost object function of scene；According to the voltage out-of-limit penalty coefficient, the power distribution network interior joint voltage
Maximum, the minimum value of power distribution network interior joint voltage structure and the power output field of at least one distributed generation resource
The corresponding voltage of scape gets over line function；According to each branch transimission power in the out-of-limit penalty coefficient of the power, the power distribution network most
Big value builds power corresponding with the power output scene of at least one distributed generation resource and gets over line function；According to the distribution
The line loss of net, the line loss factor of influence of the power distribution network, the investment cost object function, voltage more line function and power more line
Function builds Planning adaptation degree function corresponding with the power output scene of at least one distributed generation resource；Get with extremely
The corresponding scene probability of happening of power output scene of a few distributed generation resource, and according to the Planning adaptation degree function
Comprehensive evaluation index Planning adaptation degree function is built with the scene probability of happening.
In the present invention, by building comprehensive evaluation index Planning adaptation according to Planning adaptation degree function and scene probability of happening
Function is spent, from the adaptability of the angle estimator programme of probability under random environment, and plan model is established based on the method,
Solve and do not ensure that the power distribution network of access distributed generation resource in operation by the planing method of nominal output in the prior art
Meet various operation constraintss, result in distributed generation resource operation can play the technical problem of deterioration under certain conditions.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other attached drawings according to these attached drawings.
Fig. 1 is that a kind of flow of one embodiment of method for setting distributed generation resource investment cost provided by the invention is shown
It is intended to；
Fig. 2 is that a kind of structure of one embodiment of device for setting distributed generation resource investment cost provided by the invention is shown
It is intended to.
Embodiment
An embodiment of the present invention provides a kind of method and device for establishing distributed generation resource mathematics for programming model, solves existing
Have in technology by the planing method of nominal output do not ensure that access distributed generation resource power distribution network meet in operation it is various
Constraints is run, result in distributed generation resource operation can play the technical problem of deterioration under certain conditions.
Goal of the invention, feature, advantage to enable the present invention is more obvious and understandable, below in conjunction with the present invention
Attached drawing in embodiment, is clearly and completely described the technical solution in the embodiment of the present invention, it is clear that disclosed below
Embodiment be only part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this area
All other embodiment that those of ordinary skill is obtained without making creative work, belongs to protection of the present invention
Scope.
Referring to Fig. 1, one an embodiment of the present invention provides a kind of method for establishing distributed generation resource mathematics for programming model
A embodiment, including：
101：Get the corresponding at least one installation distribution of power output scene of at least one distributed generation resource
The power distribution network node number of formula power supply, with it is at least one it is described installation distributed generation resource power distribution network node be distributed correspondingly
The rated capacity of formula power supply, the unit power cost of distributed generation resource, discount rate, the service life of distributed generation resource, distribution
The corresponding cost of electricity-generating of power supply, the one-to-one unit capacity of power distribution network node with least one installation distributed generation resource
Investment cost, the line loss of the power distribution network, the line loss factor of influence of the power distribution network, voltage out-of-limit penalty coefficient, power are out-of-limit
Penalty coefficient, the maximum of the power distribution network interior joint voltage, the minimum value of the power distribution network interior joint voltage and the distribution
The maximum of each branch transimission power in net；
102：It is described to use year according to the unit power cost, discount rate, the corresponding cost of electricity-generating of distributed generation resource
Limit, the power distribution network node number, the rated capacity and unit capacity investment cost structure and at least one described point
The corresponding investment cost object function of power output scene of cloth power supply；
103：According to the voltage out-of-limit penalty coefficient, the maximum of the power distribution network interior joint voltage, the power distribution network
The minimum value of interior joint voltage builds voltage corresponding with the power output scene of at least one distributed generation resource and gets over line letter
Number；
104：According in the out-of-limit penalty coefficient of the power, the power distribution network each branch transimission power maximum structure with
The corresponding power of power output scene of at least one distributed generation resource gets over line function；
105：According to the line loss of the power distribution network, the line loss factor of influence of the power distribution network, the investment cost target letter
Number, voltage more line function and power more line function structure are corresponding with the power output scene of at least one distributed generation resource
Planning adaptation degree function；
106：Scene probability of happening corresponding with the power output scene of at least one distributed generation resource is got, and
According to the Planning adaptation degree function and scene probability of happening structure comprehensive evaluation index Planning adaptation degree function.
In the embodiment of the present invention, advised by building comprehensive evaluation index according to Planning adaptation degree function and scene probability of happening
Fitness function is drawn, rule are established from the adaptability of the angle estimator programme of probability under random environment, and based on the method
Model is drawn, the power distribution network for not ensuring that access distributed generation resource by the planing method of nominal output in the prior art is solved and exists
Meet various operation constraintss in operation, result in distributed generation resource operation can play the technology of deterioration under certain conditions
Problem.
Above is the description carried out to a kind of one embodiment of method for establishing distributed generation resource mathematics for programming model, under
A kind of another implementation for the method for establishing distributed generation resource mathematics for programming model will be described in detail in face.
Reference Fig. 1, a kind of one embodiment for the method for establishing distributed generation resource mathematics for programming model provided by the invention,
Including：
201：Get the corresponding at least one installation distribution of power output scene of at least one distributed generation resource
The power distribution network node number of formula power supply, with it is at least one it is described installation distributed generation resource power distribution network node be distributed correspondingly
The rated capacity of formula power supply, the unit power cost of distributed generation resource, discount rate, the service life of distributed generation resource, distribution
The corresponding cost of electricity-generating of power supply, the one-to-one unit capacity of power distribution network node with least one installation distributed generation resource
Investment cost, the line loss of the power distribution network, the line loss factor of influence of the power distribution network, voltage out-of-limit penalty coefficient, power are out-of-limit
Penalty coefficient, the maximum of the power distribution network interior joint voltage, the minimum value of the power distribution network interior joint voltage and the distribution
The maximum of each branch transimission power in net；
202：It is described to use year according to the unit power cost, discount rate, the corresponding cost of electricity-generating of distributed generation resource
Limit, the power distribution network node number, the rated capacity and unit capacity investment cost structure and at least one described point
The corresponding investment cost object function of power output scene of cloth power supply, the investment cost object function are specially：
Wherein, i represents i-th of distributed generation resource, ndRepresent the power distribution network node of the installation distributed generation resource
Number, CiRepresent the corresponding cost of electricity-generating of distributed generation resource, PDGiRepresent the rated capacity of i-th of distributed generation resource, r
Represent the discount rate, m represents the service life of distributed generation resource；
203：According to the voltage out-of-limit penalty coefficient, the maximum of the power distribution network interior joint voltage, the power distribution network
The minimum value of interior joint voltage builds voltage corresponding with the power output scene of at least one distributed generation resource and gets over line letter
Number, the voltage get over line function and are specially：
Wherein, μ1Represent voltage out-of-limit penalty coefficient, nnodeRepresent power distribution network interior joint quantity, vmaxRepresent to save in power distribution network
The maximum of point voltage, vminRepresent the minimum value of power distribution network interior joint voltage；
204：According in the out-of-limit penalty coefficient of the power, the power distribution network each branch transimission power maximum structure with
The corresponding power of power output scene of at least one distributed generation resource gets over line function, and it is specific that the power gets over line function
For：
Wherein, μ2Represent the out-of-limit penalty coefficient of power, nbranchRepresent the branch quantity in power distribution network, pmaxRepresent power distribution network
In each branch transimission power maximum；
205：According to the line loss of the power distribution network, the line loss factor of influence of the power distribution network, the investment cost target letter
Number, voltage more line function and power more line function structure are corresponding with the power output scene of at least one distributed generation resource
Planning adaptation degree function, the Planning adaptation degree function corresponding with the power output scene of at least one distributed generation resource
Specially：
Wherein, w represents the line loss factor of influence of power distribution network, PlossRepresent the line loss of power distribution network；
206：Scene probability of happening corresponding with the power output scene of at least one distributed generation resource is got, and
It is described comprehensive according to the Planning adaptation degree function and scene probability of happening structure comprehensive evaluation index Planning adaptation degree function
Closing evaluation index Planning adaptation degree function is specially：
Wherein, n is that the power output scene for the distributed generation resource chosen is total, PkFor the power of k-th of distributed generation resource
The corresponding scene probability of happening of scene is exported, S is programme, and E [F (S)] is the object function desired value of programme.
Above is the description carried out to a kind of one embodiment of method for establishing distributed generation resource mathematics for programming model, under
An a kind of implementation of device for establishing distributed generation resource mathematics for programming model will be described in detail in face.
Reference Fig. 2, a kind of one embodiment for the device for establishing distributed generation resource mathematics for programming model provided by the invention,
Including：
First acquisition module 201, the power output scene for getting at least one distributed generation resource are corresponding
The power distribution network node number of at least one installation distributed generation resource, the power distribution network section with least one installation distributed generation resource
The rated capacity of the one-to-one distributed generation resource of point, the unit power cost of distributed generation resource, discount rate, distributed generation resource
Service life, the corresponding cost of electricity-generating of distributed generation resource, the power distribution network node one with least one installation distributed generation resource
One corresponding unit capacity investment cost, the line loss of the power distribution network, line loss factor of influence, the voltage out-of-limit of the power distribution network are punished
The out-of-limit penalty coefficient of penalty factor, power, the maximum of the power distribution network interior joint voltage, the power distribution network interior joint voltage are most
The maximum of each branch transimission power in small value and the power distribution network；
First structure module 202, for according to the unit power cost, discount rate, the corresponding power generation of distributed generation resource
Cost, the service life, the power distribution network node number, the rated capacity and the unit capacity investment cost structure with
The corresponding investment cost object function of power output scene of at least one distributed generation resource, the investment cost target letter
Number is specially：
Wherein, i represents i-th of distributed generation resource, ndRepresent the power distribution network node of the installation distributed generation resource
Number, CiRepresent the corresponding cost of electricity-generating of distributed generation resource, PDGiRepresent the rated capacity of i-th of distributed generation resource, r
Represent the discount rate, m represents the service life of distributed generation resource；
Second structure module 203, for according to the voltage out-of-limit penalty coefficient, the power distribution network interior joint voltage most
The power output scene pair of big value, the minimum value of power distribution network interior joint voltage structure and at least one distributed generation resource
The voltage answered gets over line function, and the voltage gets over line function and is specially：
Wherein, μ1Represent voltage out-of-limit penalty coefficient, nnodeRepresent power distribution network interior joint quantity, vmaxRepresent to save in power distribution network
The maximum of point voltage, vminRepresent the minimum value of power distribution network interior joint voltage；
3rd structure module 204, for transmitting work(according to each branch in the out-of-limit penalty coefficient of the power, the power distribution network
The maximum of rate builds power corresponding with the power output scene of at least one distributed generation resource and gets over line function, the work(
Rate gets over line function：
Wherein, μ2Represent the out-of-limit penalty coefficient of power, nbranchRepresent the branch quantity in power distribution network, pmaxRepresent power distribution network
In each branch transimission power maximum；
4th structure module 205, for the line loss according to the power distribution network, the line loss factor of influence of the power distribution network, institute
State the work(of investment cost object function, voltage more line function and power more line function structure and at least one distributed generation resource
The corresponding Planning adaptation degree function of rate output scene, it is described corresponding with the power output scene of at least one distributed generation resource
Planning adaptation degree function be specially：
Wherein, w represents the line loss factor of influence of power distribution network, PlossRepresent the line loss of power distribution network；
First acquisition module 206, it is corresponding with the power output scene of at least one distributed generation resource for getting
Scene probability of happening；
5th structure module 207, for according to the Planning adaptation degree function and scene probability of happening structure synthesis
Evaluation index Planning adaptation degree function, the comprehensive evaluation index Planning adaptation degree function are specially：
Wherein, n is that the power output scene for the distributed generation resource chosen is total, PkFor the power of k-th of distributed generation resource
The corresponding scene probability of happening of scene is exported, S is programme, and E [F (S)] is the object function desired value of programme.
Embodiment in the present embodiment illustrates which is not described herein again in the above-described embodiments.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of system and module, may be referred to the corresponding process in preceding method embodiment, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed module and method, can pass through it
Its mode is realized.For example, module embodiments described above are only schematical, for example, the division of the module, only
Only a kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple module or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored, or do not perform.It is another, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be the INDIRECT COUPLING or logical by some interfaces, device or module
Letter connection, can be electrical, machinery or other forms.
The module illustrated as separating component may or may not be physically separate, be shown as module
The component shown may or may not be physical module, you can with positioned at a place, or can also be distributed to multiple
On mixed-media network modules mixed-media.Some or all of module therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each function module in each embodiment of the present invention can be integrated in a processing module, can also
That modules are individually physically present, can also two or more modules be integrated in a module.Above-mentioned integrated mould
Block can both be realized in the form of hardware, can also be realized in the form of software function module.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
State the technical solution described in each embodiment to modify, or equivalent substitution is carried out to which part technical characteristic；And these
Modification is replaced, and the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical solution.
Claims (10)
1. a kind of method for establishing distributed generation resource mathematics for programming model, its feature are, including：
Get the corresponding at least one installation distributed generation resource of power output scene of at least one distributed generation resource
The one-to-one distributed generation resource of power distribution network node of power distribution network node number and at least one installation distributed generation resource
Rated capacity, the unit power cost of distributed generation resource, discount rate, the service life of distributed generation resource, distributed generation resource correspond to
Cost of electricity-generating, with it is at least one it is described installation distributed generation resource the one-to-one unit capacity capital cost of power distribution network node
With, the line loss factor of influence of the line loss of the power distribution network, the power distribution network, voltage out-of-limit penalty coefficient, the out-of-limit punishment system of power
It is each in the maximum of several, described power distribution network interior joint voltage, the minimum value of the power distribution network interior joint voltage and the power distribution network
The maximum of branch transimission power；
According to the unit power cost, discount rate, the corresponding cost of electricity-generating of distributed generation resource, the service life, described match somebody with somebody
Grid nodes number, the rated capacity and unit capacity investment cost structure and at least one distributed generation resource
The corresponding investment cost object function of power output scene；
According to the voltage out-of-limit penalty coefficient, the maximum of the power distribution network interior joint voltage, power distribution network interior joint electricity
The minimum value of pressure builds voltage corresponding with the power output scene of at least one distributed generation resource and gets over line function；
According in the out-of-limit penalty coefficient of the power, the power distribution network each branch transimission power maximum structure with it is at least one
The corresponding power of power output scene of the distributed generation resource gets over line function；
Got over according to the line loss of the power distribution network, the line loss factor of influence of the power distribution network, the investment cost object function, voltage
Line function and power get over line function and build Planning adaptation corresponding with the power output scene of at least one distributed generation resource
Spend function；
Scene probability of happening corresponding with the power output scene of at least one distributed generation resource is got, and according to described
Planning adaptation degree function and scene probability of happening structure comprehensive evaluation index Planning adaptation degree function.
2. the method according to claim 1 for establishing distributed generation resource mathematics for programming model, it is characterised in that the investment
The goal of cost function is specially：
<mrow>
<mo>(</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mi>d</mi>
</msub>
</msubsup>
<msub>
<mi>C</mi>
<mi>i</mi>
</msub>
<msub>
<mi>P</mi>
<mrow>
<mi>D</mi>
<mi>G</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
<mfrac>
<mrow>
<mi>r</mi>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mi>m</mi>
</msup>
</mrow>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mi>m</mi>
</msup>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mfrac>
<mo>;</mo>
</mrow>
Wherein, i represents i-th of distributed generation resource, ndRepresent the power distribution network node number of the installation distributed generation resource, Ci
Represent the corresponding cost of electricity-generating of distributed generation resource, PDGiRepresent the rated capacity of i-th of distributed generation resource, r represents institute
Discount rate is stated, m represents the service life of distributed generation resource.
3. the method according to claim 2 for establishing distributed generation resource mathematics for programming model, it is characterised in that the voltage
More line function is specially：
<mrow>
<msub>
<mi>&mu;</mi>
<mn>1</mn>
</msub>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mrow>
<mi>n</mi>
<mi>o</mi>
<mi>d</mi>
<mi>e</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>v</mi>
<mi>max</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mi>min</mi>
</msub>
<mo>-</mo>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>;</mo>
</mrow>
Wherein, μ1Represent voltage out-of-limit penalty coefficient, nnodeRepresent power distribution network interior joint quantity, vmaxRepresent power distribution network interior joint electricity
The maximum of pressure, vminRepresent the minimum value of power distribution network interior joint voltage.
4. the method according to claim 3 for establishing distributed generation resource mathematics for programming model, it is characterised in that the power
More line function is specially：
<mrow>
<msub>
<mi>&mu;</mi>
<mn>2</mn>
</msub>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mrow>
<mi>b</mi>
<mi>r</mi>
<mi>a</mi>
<mi>n</mi>
<mi>c</mi>
<mi>h</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>P</mi>
<mi>max</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>;</mo>
</mrow>
Wherein, μ2Represent the out-of-limit penalty coefficient of power, nbranchRepresent the branch quantity in power distribution network, pmaxRepresent each in power distribution network
The maximum of branch transimission power.
5. the method according to claim 4 for establishing distributed generation resource mathematics for programming model, it is characterised in that it is described with extremely
The corresponding Planning adaptation degree function of power output scene of a distributed generation resource is specially less：
<mrow>
<msub>
<mi>f</mi>
<mi>k</mi>
</msub>
<mo>=</mo>
<mrow>
<mo>(</mo>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mi>d</mi>
</msub>
</msubsup>
<msub>
<mi>C</mi>
<mi>i</mi>
</msub>
<msub>
<mi>P</mi>
<mrow>
<mi>D</mi>
<mi>G</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mfrac>
<mrow>
<mi>r</mi>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mi>m</mi>
</msup>
</mrow>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mi>m</mi>
</msup>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mfrac>
<mo>+</mo>
<msub>
<mi>wP</mi>
<mrow>
<mi>l</mi>
<mi>o</mi>
<mi>s</mi>
<mi>s</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>&mu;</mi>
<mn>1</mn>
</msub>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mrow>
<mi>n</mi>
<mi>o</mi>
<mi>d</mi>
<mi>e</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>v</mi>
<mi>max</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>+</mo>
</mrow>
<mrow>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mi>min</mi>
</msub>
<mo>-</mo>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>+</mo>
<msub>
<mi>&mu;</mi>
<mn>2</mn>
</msub>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mrow>
<mi>b</mi>
<mi>r</mi>
<mi>a</mi>
<mi>n</mi>
<mi>c</mi>
<mi>h</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>P</mi>
<mi>max</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>;</mo>
</mrow>
Wherein, w represents the line loss factor of influence of power distribution network, PlossRepresent the line loss of power distribution network.
6. the method according to claim 5 for establishing distributed generation resource mathematics for programming model, it is characterised in that the synthesis
Evaluation index Planning adaptation degree function is specially：
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
<mo>{</mo>
<mi>E</mi>
<mo>&lsqb;</mo>
<mi>F</mi>
<mrow>
<mo>(</mo>
<mi>S</mi>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>}</mo>
<mo>=</mo>
<mi>min</mi>
<mrow>
<mo>(</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</msubsup>
<msub>
<mi>P</mi>
<mi>k</mi>
</msub>
<msub>
<mi>f</mi>
<mi>k</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Wherein, n is that the power output scene for the distributed generation resource chosen is total, PkFor the power output field of k-th of distributed generation resource
The corresponding scene probability of happening of scape, S are programme, and E [F (S)] is the object function desired value of programme.
7. a kind of device for establishing distributed generation resource mathematics for programming model, its feature are, including：
First acquisition module, the power output scene for getting at least one distributed generation resource are corresponding at least one
The power distribution network node number of distributed generation resource, a pair of power distribution network node one with least one installation distributed generation resource are installed
The rated capacity for the distributed generation resource answered, the unit power cost of distributed generation resource, discount rate, the use year of distributed generation resource
Limit, the corresponding cost of electricity-generating of distributed generation resource, the power distribution network node one-to-one corresponding with least one installation distributed generation resource
Unit capacity investment cost, the line loss of the power distribution network, the line loss factor of influence of the power distribution network, voltage out-of-limit punishment system
Number, the maximum of the out-of-limit penalty coefficient of power, the power distribution network interior joint voltage, the minimum value of the power distribution network interior joint voltage
With the maximum of each branch transimission power in the power distribution network；
First structure module, for according to the unit power cost, discount rate, the corresponding cost of electricity-generating of distributed generation resource, institute
State service life, the power distribution network node number, the rated capacity and unit capacity investment cost structure and at least one
The corresponding investment cost object function of power output scene of a distributed generation resource；
Second structure module, for according to the voltage out-of-limit penalty coefficient, the maximum of the power distribution network interior joint voltage, institute
The minimum value for stating power distribution network interior joint voltage builds electricity corresponding with the power output scene of at least one distributed generation resource
Pressure gets over line function；
3rd structure module, for according to each branch transimission power in the out-of-limit penalty coefficient of the power, the power distribution network most
Big value builds power corresponding with the power output scene of at least one distributed generation resource and gets over line function；
4th structure module, for the line loss according to the power distribution network, the line loss factor of influence of the power distribution network, the capital cost
With the power output field of object function, voltage more line function and power more line function structure and at least one distributed generation resource
The corresponding Planning adaptation degree function of scape；
First acquisition module, for getting scene hair corresponding with the power output scene of at least one distributed generation resource
Raw probability；
5th structure module, for building comprehensive evaluation index according to the Planning adaptation degree function and the scene probability of happening
Planning adaptation degree function.
8. the device according to claim 7 for establishing distributed generation resource mathematics for programming model, it is characterised in that described first
Structure module is used for：
According to the unit power cost, discount rate, the corresponding cost of electricity-generating of distributed generation resource, the service life, described match somebody with somebody
Grid nodes number, the rated capacity and unit capacity investment cost structure and at least one distributed generation resource
The corresponding investment cost object function of power output scene, the investment cost object function are specially：
<mrow>
<mo>(</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mi>d</mi>
</msub>
</msubsup>
<msub>
<mi>C</mi>
<mi>i</mi>
</msub>
<msub>
<mi>P</mi>
<mrow>
<mi>D</mi>
<mi>G</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
<mfrac>
<mrow>
<mi>r</mi>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mi>m</mi>
</msup>
</mrow>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mi>m</mi>
</msup>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mfrac>
<mo>;</mo>
</mrow>
Wherein, i represents i-th of distributed generation resource, ndRepresent the power distribution network node number of the installation distributed generation resource, Ci
Represent the corresponding cost of electricity-generating of distributed generation resource, PDGiRepresent the rated capacity of i-th of distributed generation resource, r represents institute
Discount rate is stated, m represents the service life of distributed generation resource；
The second structure module, specifically for according to the voltage out-of-limit penalty coefficient, the power distribution network interior joint voltage
The power output scene of maximum, the minimum value of power distribution network interior joint voltage structure and at least one distributed generation resource
Corresponding voltage gets over line function, and the voltage gets over line function and is specially：
<mrow>
<msub>
<mi>&mu;</mi>
<mn>1</mn>
</msub>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mrow>
<mi>n</mi>
<mi>o</mi>
<mi>d</mi>
<mi>e</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>v</mi>
<mi>max</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mi>min</mi>
</msub>
<mo>-</mo>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>;</mo>
</mrow>
Wherein, μ1Represent voltage out-of-limit penalty coefficient, nnodeRepresent power distribution network interior joint quantity, vmaxRepresent power distribution network interior joint electricity
The maximum of pressure, vminRepresent the minimum value of power distribution network interior joint voltage.
9. the device according to claim 8 for establishing distributed generation resource mathematics for programming model, it is characterised in that the described 3rd
Structure module is used for：
According in the out-of-limit penalty coefficient of the power, the power distribution network each branch transimission power maximum structure with it is at least one
The corresponding power of power output scene of the distributed generation resource gets over line function, and the power gets over line function and is specially：
<mrow>
<msub>
<mi>&mu;</mi>
<mn>2</mn>
</msub>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mrow>
<mi>b</mi>
<mi>r</mi>
<mi>a</mi>
<mi>n</mi>
<mi>c</mi>
<mi>h</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>P</mi>
<mi>max</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>;</mo>
</mrow>
Wherein, μ2Represent the out-of-limit penalty coefficient of power, nbranchRepresent the branch quantity in power distribution network, pmaxRepresent each in power distribution network
The maximum of branch transimission power；
The 4th structure module, is specifically used for：
Got over according to the line loss of the power distribution network, the line loss factor of influence of the power distribution network, the investment cost object function, voltage
Line function and power get over line function and build Planning adaptation corresponding with the power output scene of at least one distributed generation resource
Function is spent, the Planning adaptation degree function corresponding with the power output scene of at least one distributed generation resource is specially：
<mrow>
<msub>
<mi>f</mi>
<mi>k</mi>
</msub>
<mo>=</mo>
<mrow>
<mo>(</mo>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mi>d</mi>
</msub>
</msubsup>
<msub>
<mi>C</mi>
<mi>i</mi>
</msub>
<msub>
<mi>P</mi>
<mrow>
<mi>D</mi>
<mi>G</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mfrac>
<mrow>
<mi>r</mi>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mi>m</mi>
</msup>
</mrow>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mi>m</mi>
</msup>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mfrac>
<mo>+</mo>
<msub>
<mi>wP</mi>
<mrow>
<mi>l</mi>
<mi>o</mi>
<mi>s</mi>
<mi>s</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>&mu;</mi>
<mn>1</mn>
</msub>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mrow>
<mi>n</mi>
<mi>o</mi>
<mi>d</mi>
<mi>e</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>v</mi>
<mi>max</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>+</mo>
</mrow>
<mrow>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mi>min</mi>
</msub>
<mo>-</mo>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>+</mo>
<msub>
<mi>&mu;</mi>
<mn>2</mn>
</msub>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>n</mi>
<mrow>
<mi>b</mi>
<mi>r</mi>
<mi>a</mi>
<mi>n</mi>
<mi>c</mi>
<mi>h</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>max</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>P</mi>
<mi>max</mi>
</msub>
<mo>,</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>;</mo>
</mrow>
Wherein, w represents the line loss factor of influence of power distribution network, PlossRepresent the line loss of power distribution network.
10. the device according to claim 9 for establishing distributed generation resource mathematics for programming model, it is characterised in that described
Five structure modules are used for：
According to the Planning adaptation degree function and scene probability of happening structure comprehensive evaluation index Planning adaptation degree function, institute
Stating comprehensive evaluation index Planning adaptation degree function is specially：
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
<mo>{</mo>
<mi>E</mi>
<mo>&lsqb;</mo>
<mi>F</mi>
<mrow>
<mo>(</mo>
<mi>S</mi>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>}</mo>
<mo>=</mo>
<mi>min</mi>
<mrow>
<mo>(</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</msubsup>
<msub>
<mi>P</mi>
<mi>k</mi>
</msub>
<msub>
<mi>f</mi>
<mi>k</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Wherein, n is that the power output scene for the distributed generation resource chosen is total, PkFor the power output field of k-th of distributed generation resource
The corresponding scene probability of happening of scape, S are programme, and E [F (S)] is the object function desired value of programme.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711137405.XA CN107908877B (en) | 2017-11-16 | 2017-11-16 | Method and device for establishing mathematical model of distributed power supply planning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711137405.XA CN107908877B (en) | 2017-11-16 | 2017-11-16 | Method and device for establishing mathematical model of distributed power supply planning |
Publications (2)
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