CN107171324A - A kind of power distribution network linear programming model containing distributed power source - Google Patents

A kind of power distribution network linear programming model containing distributed power source Download PDF

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CN107171324A
CN107171324A CN201710506987.8A CN201710506987A CN107171324A CN 107171324 A CN107171324 A CN 107171324A CN 201710506987 A CN201710506987 A CN 201710506987A CN 107171324 A CN107171324 A CN 107171324A
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mrow
msub
munderover
sigma
node
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贺春光
邵华
凌云鹏
李树水
王颖
刘鹏
安佳坤
翟广心
马国真
谢晓琳
韩文源
张昭旭
胡诗尧
孙鹏飞
韩璟琳
赵阳
张欣悦
胡珀
高珊
张树永
代景龙
赵懿祺
罗欣
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BEIJING TSINGSOFT INNOVATION TECHNOLOGY Co Ltd
Economic and Technological Research Institute of State Grid Hebei Electric Power Co Ltd
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BEIJING TSINGSOFT INNOVATION TECHNOLOGY Co Ltd
Economic and Technological Research Institute of State Grid Hebei Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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Abstract

Linearization approximate processing has been carried out the invention discloses the power flow equation and connectedness for power distribution network, it is proposed that a kind of power distribution network linear programming basic model containing distributed power source.Based on a kind of distribution network system, sample calculation analysis is carried out for model under different planning scenes, the result of calculation of linear programming model and common Nonlinear programming Model have been contrasted.As a result show, set forth herein linear programming model for distribution network planning at this stage analysis be effective, compared to traditional power distribution network Nonlinear programming Model, set forth herein linear programming model on the basis of precision is ensured, with higher calculating and analysis efficiency.

Description

A kind of power distribution network linear programming model containing distributed power source
Technical field
The present invention relates to distribution network planning technical field, specially a kind of power distribution network linear programming mould containing distributed power source Type.
Background technology
Continued to develop with economical and society, high efficiency of energy and safe utilization are paid close attention to by more and more extensive, Closest to terminal user power distribution network be power system important component, its make rational planning for construction is also just obtaining increasingly abundant Research.
Distribution network planning is the basal conditions of load prediction results according to planning period and existing network, is meeting load On the premise of increasing with safe and reliable power supply, optimal system Construction scheme is determined so that the construction of power distribution network and operating cost It is minimum.It is wide variety of straight in Transmission Expansion Planning in Electric because power distribution network has the features such as line resistance is higher, voltage pulsation is larger Stream tide model be not particularly suited for distribution network, therefore, in conventional research, for power distribution network network constraint foundation often Based on AC Ioad flow model.However, AC Ioad flow model has nonlinearity, it is difficult to utilize common mathematical optimization tools pair The distribution network planning model set up based on AC power flow is solved.For such case, most of document selections are using heredity The intelligent algorithms such as algorithm, particle cluster algorithm, but such algorithm is only applicable to the solution of the less optimization planning problem of scale. Based on considerations above, research meets the power distribution network linearisation plan model of certain required precision, will greatly lift distribution network planning The efficiency of problem solving is drawn, further basis is provided for the follow-up theoretical research of power distribution network.
The content of the invention
For problem above, the invention provides a kind of power distribution network linear programming model containing distributed power source, rule are met The model optimization problem solving of the larger power distribution network linearisation planning of mould, will greatly lift the effect of distribution network planning problem solving Rate, the problem of effectively can solving in background technology.
To achieve the above object, the present invention provides following technical scheme:A kind of power distribution network linear gauge containing distributed power source Model is drawn, is comprised the following steps:
Step S1:Electric Power Network Planning model objective function is set up, for distribution network planning, the distribution in power distribution network is considered In the case of the factors such as formula power supply, grid structure, with the minimum optimization of the construction cost, operating cost and Environmental costs of power distribution network Target;
Step S2:The constraints of Electric Power Network Planning model is set up, including trend constraint, grid structure constraint, is generated electricity Capacity-constrained, electric quantity balancing constraint, node voltage constraint, the constraint of branch road transimission power and the constraint of distributed power source installed capacity.
As a kind of preferred technical scheme of the present invention, Electric Power Network Planning model objective function is described in step S1:
Minf (x)=γ Ccon(x)+Cope(x)+Cenv(x)
Wherein, γ is the years such as construction cost value mean coefficient, and r is discount rate, and investments of the Y to build circuit and equipment is repaid Phase;Construction cost C is included in the programmed cost among the Electric Power Network Planning model objective functioncon(x), operating cost Cope (x) with Environmental costs Cenv(x)。
It is used as a kind of preferred technical scheme of the present invention, the construction cost Ccon(x), operating cost CopeAnd environment (x) Cost Cenv(x) expression formula is respectively:
Construction cost
Operating cost
Environmental costs
Wherein, cabThe expense of a articles circuit b kind construction scheme is represented, A represents the sum of circuit yet to be built, and B represents newly-built The sum of Decision Making of Line Schemes, cdeThe expense of the d articles circuit e kind Replacing Scheme is represented, D represents the sum of circuit to be replaced, and E is represented Change the sum of Decision Making of Line Schemes, cFBgRepresent the unit capacity cost of g kind distributed power source construction schemes, pFBfgRepresent f-th The rated capacity of node g kind distributed power source construction schemes, F represents the sum of installation distributed electrical source node, and G represents distribution The sum of formula power sources construction programme, cJB0Represent the unit capacity construction cost of newly-built transformer station, sJBhiRepresent h-th of node i-th The construction capacity of transformer substation construction scheme is planted, H represents the node total number of possible newly-built transformer station, and I represents the side of newly-built transformer station Case sum, cKBRepresent the unit capacity construction cost of transformer station's dilatation, sKBjkRepresent j-th of dilatation side of node kZhong transformer stations The capacity of expansion of case, J represents the sum of existing power transformation tiny node, and K represents the scheme sum of transformer station's dilatation, pbIt is expressed as distribution Net is from the unit price of power of higher level's power network power purchase, WBRepresent the year purchase of electricity of superior power network, cYFBgRepresent g kind distributed power sources The unit capacity annual operating and maintenance cost of construction scheme, cYBRepresent the annual operating and maintenance cost of transformer station's unit capacity, cEFBglRepresent g kinds Distributed power source construction scheme unit generated energy produces the Environmental costs that l kind pollutants are brought, wFBfgRepresent f-th of node The annual generated energy of g kind distributed power source construction schemes, L represents the species sum for the pollutant that generating is produced, cEBlRepresent upward Level power network buys unit generated energy and produces the Environmental costs that l kind pollutants are brought.
As a kind of preferred technical scheme of the present invention, the equation of 7 constraints is respectively in step S2:
Trend constraint:Using power flow equation inearized model
Grid structure is constrained:Using network connectivty inearized model
Un> ε
Generating capacity-constrained
Electric quantity balancing is constrained
Node voltage is constrained
Unmin≤Un≤Unmax
Branch road transimission power is constrained
Pmnmin≤Pmn≤Pmnmax
Distributed power source installed capacity is constrained
Wherein, N represents grid nodes sum, PmRepresent node m injection active power, QmRepresent that node m injection is idle Power, UnRepresent node n node voltage amplitude, θnRepresent node n node voltage phase angle, sB0Represent the appearance of existing transformer station Amount, wFBfgThe annual electricity generating capacity of f-th of node g kind distributed power source construction scheme is represented, τ represents that annual peak load is utilized Hourage, η represents power distribution network average loss rate, UnminRepresent node n node voltage lower limit, UnmaxRepresent node n node electricity Press the upper limit, PmnThe active power of the line transmission between node m, n is represented, λ represents region capacity-load ratio, gnRepresent node n most Big burden with power, WBRepresent the year purchase of electricity of power distribution network superior power network, PmnminRepresent having for the line transmission between node m, n The work(lower limit of the power, PmnmaxThe active power upper limit of the line transmission between node m, n is represented, σ represents distributed power source installation appearance Amount accounts for the ratio upper limit of power distribution network peak load.
Compared with prior art, the beneficial effects of the invention are as follows:
Power flow equation constraint firstly for power distribution network proposes linear approximation method, then for the network of power distribution network Connectivity constraint proposes linear approximation method, then on the basis of above-mentioned appropriate constraints model, establishes distribution network planning Draw model;
Carried inearized model is based respectively on to example power distribution network under the different scene of three below and tradition is non-linear Model is solved using prevailing value optimization method and genetic algorithm, analyzed.
Scene 1:The planning of distributed power source is not considered, directly carries out distribution network structure planning;
Scene 2:Distribution network structure planning is first carried out, distributed power source planning is carried out again after completing space truss project;
Scene 3:Carry out the power distribution network synthesis coordinated planning containing distributed power source.
The model optimization problem solving of larger power distribution network linearisation planning is met, distribution network planning will be greatly lifted Draw problem solving efficiency, set forth herein linear programming model for distribution network planning at this stage analysis be effective, compare In traditional power distribution network Nonlinear programming Model, set forth herein linear programming model on the basis of precision is ensured, with compared with High calculating and analysis efficiency.
Brief description of the drawings
Fig. 1 is the prototype structure schematic diagram of present example rack to be planned;
Structure Planning schematic diagrames of the Fig. 2 for the present invention based on inearized model under scene 1;
Structure Planning schematic diagrames of the Fig. 3 for the present invention based on inearized model under scene 2;
Structure Planning schematic diagrames of the Fig. 4 for the present invention based on inearized model under scene 3.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
Embodiment:
Fig. 1 to Fig. 4 is referred to, the present invention provides a kind of technical scheme:
A kind of power distribution network linear programming model containing distributed power source, comprises the following steps:
Step S1:Electric Power Network Planning model objective function is set up, for distribution network planning, the distribution in power distribution network is considered In the case of the factors such as formula power supply, grid structure, with the minimum optimization of the construction cost, operating cost and Environmental costs of power distribution network Target;
Step S2:The constraints of Electric Power Network Planning model is set up, including trend constraint, grid structure constraint, is generated electricity Capacity-constrained, electric quantity balancing constraint, node voltage constraint, the constraint of branch road transimission power and the constraint of distributed power source installed capacity.
As shown in Figure 3 and Figure 4, subordinate list 1 is the peace of the distributed power access point based on inearized model under scene 2,3 Dressing amount:
Subordinate list 1
As shown in Figure 2, Figure 3 and Figure 4, subordinate list 2 is the programme cost pair based on inearized model under three scenes Compare table:
Subordinate list 2
As shown in Figure 2, Figure 3 and Figure 4, subordinate list 3 is the programme cost pair based on nonlinear model under three scenes Compare table:
Subordinate list 3
As shown in Figure 2, Figure 3 and Figure 4, subordinate list 4 is that inearized model and nonlinear model progress are utilized under three scenes Required time contrast table during solution:
Subordinate list 4
The operation principle of the present invention:Power flow equation linearization process is carried out first, for N meshed networks, power system point Classical power flow equation can be expressed as form in analysis:
I=1,2 ..., N
Wherein, Pi、Qi、UiAnd θiActive power injection, reactive power injection, voltage magnitude and the electricity of node i are represented respectively Press phase angle, GijAnd BijIt is then the real and imaginary parts of respective element in network admittance matrix.
By the way that above-mentioned expression formula is transformed into the form based on line conductance and susceptance parameter, while using such as lower aprons side Method:
gijUi(Ui-Ujcosθij)≈gij(Ui-Uj) (3)
bijUiUjsinθij≈bijθij=bijij) (4)
Classical power flow equation can be write as to the form of formula (5) (6).Wherein, giiRepresent the self-conductance of node i, gijRepresent The transconductance of circuit, b between node i and node jijRepresent the mutual susceptance of circuit between node i and node j, B'ijThen ignore The imaginary part of coherent element in the network admittance matrix that node ground connection admittance is obtained.
In the present invention, it is contemplated that the characteristic of power distribution network itself, ignore node impedance ground, be improved for (5), most Network trend inearized model is obtained eventually:
Then network connectivty linearization process is carried out, for the power network of a connection, a node injection is single wherein Position electric current, then other nodes can produce corresponding node voltage, the size of node voltage is equal to mutual between the two nodes Impedance magnitude.Therefore, thought of the present invention based on above-mentioned network impedance matrix proposes following network connectivty constraint:
Ui> ε, i=1,2 ..., N (9)
UiIt is any in network in a network during all nodes connections for when the injection unitary current of the node of some in network The voltage magnitude of one node i, ε is fully small positive number.
If the original power network (there is network and do not connect situation) of certain construction to be planned, its admittance matrix is Y0.0-1 is defined to determine Plan variable xbNewly-built circuit b to be selected state of investing to build is represented, 0 represents that the circuit is not invested to build, 1 represents to invest to build, all to be selected newly-built The aggregated label of circuit is B.Meanwhile, circuit b whole story end is labeled as f successivelybAnd tb, then the primitive network voltage x current close It is that equation can be written as:
Wherein, column vector MbFor description branch road b and the vector of node associate feature, it is total that number of elements is equal to network node Number, fbIndividual element is 1, tbIndividual element is -1.Due to matrixIn be sparse matrix, then utilize this sparse characteristic real It is existingLinearisation description, (10) are converted to:
In formula,WithIt is equal to the Virtual vector of branch of a network sum for dimension.By introducing big number M,WithIn it is right Following form should be represented by the element at branch road whole story end, other positions element is 0:
Formula (9), (11)-(13) are the network connectivty linear restriction expression formula in the present invention.
Then the optimized variable proposed in the distribution network planning model based on linear trend constraint, model includes:
(1) 0-1 decision variables:Determine the whether newly-built x of circuitJX, circuit whether change xHX, distributed power source it is whether newly-built xFB, the whether newly-built x of transformer stationJB, transformer station whether dilatation xKB
(2) real variable:The newly-built capacity of distributed power source, the newly-built capacity and capacity of expansion of transformer station, distributed electrical The annual electricity generating capacity and superior power network year purchase of electricity in source.
Due to having carried out linearization process, the present invention, which carries model, to be asked by general mathematical optimization tools bag Solution.
Finally, realized by the object function for setting up plan model and the constraints for setting up plan model for power distribution network Power flow equation and connectedness carried out linearization approximate processing, compared to traditional power distribution network Nonlinear programming Model, herein The linear programming model of proposition is on the basis of precision is ensured, with higher calculating and analysis efficiency.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention Any modifications, equivalent substitutions and improvements made within refreshing and principle etc., should be included in the scope of the protection.

Claims (4)

1. a kind of power distribution network linear programming model containing distributed power source, it is characterised in that comprise the following steps:
Step S1:Electric Power Network Planning model objective function is set up, for distribution network planning, the distributed electrical in power distribution network is considered In the case of the factors such as source, grid structure, with the minimum optimization mesh of the construction cost, operating cost and Environmental costs of power distribution network Mark;
Step S2:The constraints of Electric Power Network Planning model is set up, including trend constraint, grid structure constraint, generating capacity Constraint, electric quantity balancing constraint, node voltage constraint, the constraint of branch road transimission power and the constraint of distributed power source installed capacity.
2. a kind of power distribution network linear programming model containing distributed power source according to claim 1, it is characterised in that:Step Electric Power Network Planning model objective function described in S1 is:
Minf (x)=γ Ccon(x)+Cope(x)+Cenv(x)
<mrow> <mi>&amp;gamma;</mi> <mo>=</mo> <mfrac> <mrow> <mi>r</mi> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mi>r</mi> <mo>)</mo> </mrow> <mi>Y</mi> </msup> </mrow> <mrow> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mi>r</mi> <mo>)</mo> </mrow> <mi>Y</mi> </msup> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> </mrow>
Wherein, γ is the years such as construction cost value mean coefficient, and r is discount rate, and Y is construction circuit and the pay back period of investment of equipment; Construction cost C is included in the programmed cost among the Electric Power Network Planning model objective functioncon(x), operating cost Cope(x) and Environmental costs Cenv(x)。
3. a kind of power distribution network linear programming model containing distributed power source according to claim 2, it is characterised in that:It is described Construction cost Ccon(x), operating cost Cope(x) with Environmental costs Cenv(x) expression formula is respectively:
Construction cost
<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>C</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>a</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>A</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>b</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>B</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>a</mi> <mi>b</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>J</mi> <mi>X</mi> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>d</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>D</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>e</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>E</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>d</mi> <mi>e</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>H</mi> <mi>X</mi> <mi>d</mi> <mi>e</mi> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>f</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>F</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>g</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>g</mi> </mrow> </msub> <msub> <mi>p</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>h</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>H</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>I</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>c</mi> <mrow> <mi>J</mi> <mi>B</mi> <mn>0</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>c</mi> <mrow> <mi>J</mi> <mi>B</mi> </mrow> </msub> <msub> <mi>s</mi> <mrow> <mi>J</mi> <mi>B</mi> <mi>h</mi> <mi>i</mi> </mrow> </msub> <mo>)</mo> </mrow> <msub> <mi>x</mi> <mrow> <mi>J</mi> <mi>B</mi> <mi>h</mi> <mi>i</mi> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>J</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>K</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>K</mi> <mi>B</mi> </mrow> </msub> <msub> <mi>s</mi> <mrow> <mi>K</mi> <mi>B</mi> <mi>j</mi> <mi>k</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>K</mi> <mi>B</mi> <mi>j</mi> <mi>k</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced>
Operating cost
<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>C</mi> <mrow> <mi>o</mi> <mi>p</mi> <mi>e</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>p</mi> <mi>B</mi> </msub> <msub> <mi>W</mi> <mi>B</mi> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>f</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>F</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>g</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>Y</mi> <mi>F</mi> <mi>B</mi> <mi>g</mi> </mrow> </msub> <msub> <mi>p</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>h</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>H</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>I</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>Y</mi> <mi>B</mi> </mrow> </msub> <msub> <mi>s</mi> <mrow> <mi>J</mi> <mi>B</mi> <mi>h</mi> <mi>i</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>J</mi> <mi>B</mi> <mi>h</mi> <mi>i</mi> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>J</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>K</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>Y</mi> <mi>B</mi> </mrow> </msub> <msub> <mi>s</mi> <mrow> <mi>K</mi> <mi>B</mi> <mi>j</mi> <mi>k</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>K</mi> <mi>B</mi> <mi>j</mi> <mi>k</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced>
Environmental costs
<mrow> <msub> <mi>C</mi> <mrow> <mi>e</mi> <mi>n</mi> <mi>v</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>f</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>F</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>g</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>l</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>E</mi> <mi>F</mi> <mi>B</mi> <mi>g</mi> <mi>l</mi> </mrow> </msub> <msub> <mi>w</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>l</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msub> <mi>c</mi> <mrow> <mi>E</mi> <mi>B</mi> <mi>l</mi> </mrow> </msub> <msub> <mi>W</mi> <mi>B</mi> </msub> </mrow>
Wherein, cabThe expense of a articles circuit b kind construction scheme is represented, A represents the sum of circuit yet to be built, and B represents newly-built circuit The sum of scheme, cdeThe expense of the d articles circuit e kind Replacing Scheme is represented, D represents the sum of circuit to be replaced, and E represents to change The sum of Decision Making of Line Schemes, cFBgRepresent the unit capacity cost of g kind distributed power source construction schemes, pFBfgRepresent f-th of node The rated capacity of g kind distributed power source construction schemes, F represents the sum of installation distributed electrical source node, and G represents distributed electrical The sum of source construction scheme, cJB0Represent the unit capacity construction cost of newly-built transformer station, sJBhiRepresent h-th of node, i-th kind of change The construction capacity of power plant construction scheme, H represents the node total number of possible newly-built transformer station, and I represents that the scheme of newly-built transformer station is total Number, cKBRepresent the unit capacity construction cost of transformer station's dilatation, sKBjkRepresent j-th node kZhong transformer stations dilatation scheme Capacity of expansion, J represents the sum of existing power transformation tiny node, and K represents the scheme sum of transformer station's dilatation, pbBe expressed as power distribution network from The unit price of power of higher level's power network power purchase, WBRepresent the year purchase of electricity of superior power network, cYFBgRepresent g kind distributed power source construction The unit capacity annual operating and maintenance cost of scheme, cYBRepresent the annual operating and maintenance cost of transformer station's unit capacity, cEFBglRepresent that g kinds are distributed Formula power sources construction programme unit generated energy produces the Environmental costs that l kind pollutants are brought, wFBfgRepresent f-th of node g kind The annual generated energy of distributed power source construction scheme, L represents the species sum for the pollutant that generating is produced, cEBlRepresent superior Power network buys unit generated energy and produces the Environmental costs that l kind pollutants are brought.
4. a kind of power distribution network linear programming model containing distributed power source according to claim 1, it is characterised in that:Step The equation of 7 constraints is respectively in S2:
Trend constraint:Using power flow equation inearized model
<mrow> <msub> <mi>P</mi> <mi>m</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>G</mi> <mrow> <mi>m</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>U</mi> <mi>n</mi> </msub> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>B</mi> <mrow> <mi>m</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>&amp;theta;</mi> <mi>n</mi> </msub> </mrow>
<mrow> <msub> <mi>Q</mi> <mi>m</mi> </msub> <mo>=</mo> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>B</mi> <mrow> <mi>m</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>U</mi> <mi>n</mi> </msub> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>G</mi> <mrow> <mi>m</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>&amp;theta;</mi> <mi>n</mi> </msub> </mrow>
Grid structure is constrained:Using network connectivty inearized model
Un> ε
<mrow> <mover> <mi>I</mi> <mo>&amp;CenterDot;</mo> </mover> <mo>=</mo> <msub> <mi>Y</mi> <mn>0</mn> </msub> <mover> <mi>U</mi> <mo>&amp;CenterDot;</mo> </mover> <mo>+</mo> <munder> <mo>&amp;Sigma;</mo> <mrow> <mi>b</mi> <mo>&amp;Element;</mo> <mi>B</mi> </mrow> </munder> <mrow> <mo>(</mo> <msub> <mi>M</mi> <mi>b</mi> </msub> <msubsup> <mi>U</mi> <mi>b</mi> <mi>f</mi> </msubsup> <mo>-</mo> <msub> <mi>M</mi> <mi>b</mi> </msub> <msubsup> <mi>U</mi> <mi>b</mi> <mi>t</mi> </msubsup> <mo>)</mo> </mrow> </mrow>
<mrow> <mo>-</mo> <msub> <mi>x</mi> <mi>b</mi> </msub> <mi>M</mi> <mo>&amp;le;</mo> <msubsup> <mi>U</mi> <mi>b</mi> <mi>f</mi> </msubsup> <mo>&amp;le;</mo> <msub> <mi>x</mi> <mi>b</mi> </msub> <mi>M</mi> </mrow>
<mrow> <msub> <mi>U</mi> <msub> <mi>f</mi> <mi>b</mi> </msub> </msub> <mo>-</mo> <mi>M</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>x</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> <mo>&amp;le;</mo> <msubsup> <mi>U</mi> <mi>b</mi> <mi>f</mi> </msubsup> <mo>&amp;le;</mo> <msub> <mi>U</mi> <msub> <mi>f</mi> <mi>b</mi> </msub> </msub> <mo>+</mo> <mi>M</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>x</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> </mrow>
<mrow> <mo>-</mo> <msub> <mi>x</mi> <mi>b</mi> </msub> <mi>M</mi> <mo>&amp;le;</mo> <msubsup> <mi>U</mi> <mi>b</mi> <mi>t</mi> </msubsup> <mo>&amp;le;</mo> <msub> <mi>x</mi> <mi>b</mi> </msub> <mi>M</mi> </mrow>
<mrow> <msub> <mi>U</mi> <msub> <mi>t</mi> <mi>b</mi> </msub> </msub> <mo>-</mo> <mi>M</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>x</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> <mo>&amp;le;</mo> <msubsup> <mi>U</mi> <mi>b</mi> <mi>t</mi> </msubsup> <mo>&amp;le;</mo> <msub> <mi>U</mi> <msub> <mi>t</mi> <mi>b</mi> </msub> </msub> <mo>+</mo> <mi>M</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>x</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> </mrow>
Generating capacity-constrained
<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>s</mi> <mrow> <mi>B</mi> <mn>0</mn> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>f</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>F</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>g</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <msub> <mi>p</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>h</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>H</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>I</mi> </munderover> <msub> <mi>s</mi> <mrow> <mi>J</mi> <mi>B</mi> <mi>h</mi> <mi>i</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>J</mi> <mi>B</mi> <mi>h</mi> <mi>i</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>J</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>K</mi> </munderover> <msub> <mi>s</mi> <mrow> <mi>K</mi> <mi>B</mi> <mi>j</mi> <mi>k</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>K</mi> <mi>B</mi> <mi>j</mi> <mi>k</mi> </mrow> </msub> <mo>&amp;GreaterEqual;</mo> <mi>&amp;lambda;</mi> <munderover> <mo>&amp;Sigma;</mo> <mi>n</mi> <mi>N</mi> </munderover> <msub> <mi>g</mi> <mi>n</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced>
Electric quantity balancing is constrained
<mrow> <msub> <mi>W</mi> <mi>B</mi> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>f</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>F</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>g</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <msub> <mi>w</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mi>&amp;tau;</mi> <munderover> <mo>&amp;Sigma;</mo> <mi>n</mi> <mi>N</mi> </munderover> <msub> <mi>g</mi> <mi>n</mi> </msub> </mrow> <mrow> <mn>1</mn> <mo>-</mo> <mi>&amp;eta;</mi> </mrow> </mfrac> </mrow>
Node voltage is constrained
Un min≤Un≤Un max
Branch road transimission power is constrained
Pmn min≤Pmn≤Pmn max
Distributed power source installed capacity is constrained
<mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>f</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>F</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>g</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <msub> <mi>p</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <msub> <mi>x</mi> <mrow> <mi>F</mi> <mi>B</mi> <mi>f</mi> <mi>g</mi> </mrow> </msub> <mo>&amp;le;</mo> <mi>&amp;sigma;</mi> <munderover> <mo>&amp;Sigma;</mo> <mi>n</mi> <mi>N</mi> </munderover> <msub> <mi>g</mi> <mi>n</mi> </msub> </mrow>
Wherein, N represents grid nodes sum, PmRepresent node m injection active power, QmRepresent the node m idle work(of injection Rate, UnRepresent node n node voltage amplitude, θnRepresent node n node voltage phase angle, sB0Represent the appearance of existing transformer station Amount, wFBfgThe annual electricity generating capacity of f-th of node g kind distributed power source construction scheme is represented, τ represents that annual peak load is utilized Hourage, η represents power distribution network average loss rate, UnminRepresent node n node voltage lower limit, UnmaxRepresent node n node electricity Press the upper limit, PmnThe active power of the line transmission between node m, n is represented, λ represents region capacity-load ratio, gnRepresent node n most Big burden with power, WBRepresent the year purchase of electricity of power distribution network superior power network, PmnminRepresent having for the line transmission between node m, n The work(lower limit of the power, PmnmaxThe active power upper limit of the line transmission between node m, n is represented, σ represents distributed power source installation appearance Amount accounts for the ratio upper limit of power distribution network peak load.
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