CN105305484B - A kind of distributed power source Optimal Configuration Method suitable for power distribution network - Google Patents
A kind of distributed power source Optimal Configuration Method suitable for power distribution network Download PDFInfo
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- CN105305484B CN105305484B CN201510663059.3A CN201510663059A CN105305484B CN 105305484 B CN105305484 B CN 105305484B CN 201510663059 A CN201510663059 A CN 201510663059A CN 105305484 B CN105305484 B CN 105305484B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
A kind of distributed power source Optimal Configuration Method suitable for power distribution network of the invention, obtains primary data information (pdi), determines position, the total capacity and capacity step-length of distributed power source access of balance nodes;When not accessing distributed power source, the single order power loss sensitivity coefficient of each node is sought;Each node individually accesses the distributed power source of setting capacity, and the single order power loss sensitivity coefficient of each node is tried to achieve respectively;Try to achieve sensitivity amendment matrix;By the distributed power source of the minimum node access capacity step-length of the single order power loss sensitivity coefficient tried to achieve;After access capacity step-length distributed power source, each node single order power loss sensitivity is modified by sensitivity amendment matrix, and record single step allocation plan;Previous step is repeated until reaching access total capacity, completes to distribute rationally.Substantial amounts of Load flow calculation is eliminated, two key issues of validity and high efficiency of optimization are solved.
Description
Technical field
Field, more particularly to a kind of point suitable for power distribution network are distributed rationally the present invention relates to power system distributed power source
Cloth electricity optimization collocation method.
Background technology
Distributed generation technology develop rapidly and using obtained the whole world extensive concern.The investment of distributed power source into
This is low, environmental protection, and addressing flexibly, the features such as energy diversity allows it to form good complementation with bulk power grid, as extensive
The powerful support of power network.Therefore, the power supply mode that distributed power source is combined with large scale electric network will be necessarily becoming for following power network
Gesture.The access of distributed power generation in terms of the voltage level of power distribution network, the stability of a system, the quality of power supply, network loss by having important
Influence.The factors such as its influence degree and the capacity of distributed power source and position are relevant.Therefore, how in the safe and reliable pact of system
Under the conditions of beam, reduce the harmful effect to power network, realize distributing rationally as problem urgently to be resolved hurrily for distributed power source.
For being distributed rationally using reducing active power loss as the distributed power source of target, its research method mainly has traditional number
Learn analytical optimization method and randomized optimization process etc..In analytical optimization method, it is often based on simplified model and is derived, for
Complex network and load variations situation may not applied to, and also or need a large amount of iterative calculation to seek Nonlinear programming Model
Solution.And the randomized optimization process convergence rate for introducing intelligent algorithm is slower, efficiency is low, when particularly network size is larger,
Its calculating time is longer, and selection of its optimality dependent on initial value and control parameter, easily occurs precocious phenomenon, is absorbed in office
Portion's optimization solution.
The content of the invention
The purpose of the present invention is exactly that there is provided a kind of distributed electrical source optimization suitable for power distribution network in order to solve the above problems
Collocation method, based on single order power loss sensitivity coefficient with distributed power source capacity linearly change it is approximate, it is sensitive to network loss
Spend coefficient and carry out approximate calculation;In conjunction with greedy algorithm, the configuration to distributed power source is optimized, in optimization process, is saved
Removed substantial amounts of Load flow calculation, greatlyd save the calculating time, improve computational efficiency, solve optimization validity and efficiently
Two key issues of property.
To achieve these goals, the present invention is adopted the following technical scheme that:
A kind of distributed power source Optimal Configuration Method suitable for power distribution network, comprises the following steps:
Step one, the primary data information (pdi) of power distribution network is obtained, and determines that the position of balance nodes, distributed power source are accessed
Total capacity and capacity step-length;
Step 2, when not accessing distributed power source, tries to achieve the single order power loss sensitivity coefficient of each node of system;
Step 3, individually accesses the distributed power source to constant volume in system each node, system is tried to achieve respectively each
Single order power loss sensitivity coefficient of the node under every kind of operating mode;
Step 4, utilizes each node single order power loss sensitivity coefficient and the relational expression single order net of distributed power source access capacity
The analytic expression of sensitivity coefficient is damaged, sensitivity amendment matrix Μ is tried to achieve;
Step 5, by the distributed power source of the minimum node access capacity step-length of the single order power loss sensitivity coefficient tried to achieve;
After access capacity step-length distributed power source, each node single order power loss sensitivity is modified by sensitivity amendment matrix Μ,
And record single step allocation plan;
Step 6, repeat step five, until reaching access total capacity, completes to distribute rationally.
The power distribution network primary data information (pdi) obtained in the step one includes the impedance between the voltage class of system, node
And the injecting power of each node.
The method for solving of single order power loss sensitivity coefficient is:A Load flow calculation is first carried out, trend obtains trend when restraining
The Jacobian matrix of equation, single order power loss sensitivity coefficient is tried to achieve using the relation of Jacobian matrix and system losses.
Each node single order power loss sensitivity coefficient is calculated, specific method is:
Wherein, PlossFor system losses;GijFor electric conductivity value between system node;UiFor node i voltage;UjFor node j electricity
Pressure;For derivative of the active power loss to node i active injection power;PiThe active power injected for each node;X=[θ, U]
It is node voltage phase angle and amplitude, θ=[θ1,θ2,…,θN], U=[U1,U2,…,UN], N is node system number;J is system tide
Flow equation Jacobian matrix.
Based on the approximate of single order power loss sensitivity coefficient linear change, solve each node single order power loss sensitivity coefficient with point
The analytical expression of cloth plant-grid connection volume change, the matrix of the slope composition of expression formula, as sensitivity amendment matrix Μ.
Sensitivity amendment matrix Μ method for solving is, specific as follows:
Wherein,For derivative of the active power loss to node i active injection power;MijFor single order power loss sensitivity coefficient solution
The slope of analysis formula;dPloss/dPijRepresent after node j access distributed power sources, the single order power loss sensitivity coefficient of node i;Ploss
For system losses;dPloss/dPi0When not accessing distributed power source, the single order power loss sensitivity coefficient of node i;ΔPDGFor what is given
Distributed power source capacity.
Modification method is:
Amendment to single order power loss sensitivity coefficient only changes the intercept b of single order power loss sensitivity coefficient analytic expressioni, do not change
Become its slope MijValue, specific mathematical expression such as following formula:
In formula,And LSFiIt is respectively the node i single order power loss sensitivity coefficient before and after amendment;PDG,jFor node j
The distributed power source active power of access.
Beneficial effects of the present invention:
(1) present invention is applied to distribution network, and a kind of approximate calculation of active power loss is provided and to reduce for power distribution network
The method that active power loss is distributed rationally for the distributed power source of target.
(2) present invention uses Greedy strategy, and the strategy is simple and easy to apply, and when solving the problem, effect of optimization can be with
It is guaranteed.
(3) present invention is when optimizing configuration, using the method to single order power loss sensitivity coefficient linear approximation, without
Load flow calculation repeatedly is carried out again, compared to other Optimal Configuration Methods, is greatlyd save the calculating time, is improved computational efficiency.
The present invention operation principle be:The present invention be in given distributed power source total capacity, and consider distributed power source work(
In the case that rate factor is 1, rational access node and rational access capacity are selected, configuration is optimized.Using greedy plan
Slightly, whole problem classification is handled, in the configuration of every step, compared by the size to each node single order power loss sensitivity, it is determined that
Optimal access point.In the configuration for completing often to walk simultaneously, single order power loss sensitivity coefficient need to be modified, it is right in the present invention
Single order power loss sensitivity, which is repaiied, is based on the approximate of its linear change, i.e., when distributed power source access capacity changes, each section
Point single order power loss sensitivity coefficient linearly changes.
Brief description of the drawings
Fig. 1 is linear approximation schematic diagram of the present invention to single order power loss sensitivity coefficient;
Fig. 2 linearly corrects schematic diagram for the present invention to single order power loss sensitivity;
Fig. 3 is distributed power source Optimal Configuration Method flow chart of the present invention;
Fig. 4 is distributed power source Optimal Configuration Method schematic diagram of the present invention.
Embodiment
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
Such as Fig. 1, " u "-shaped is presented in the capacity that system active power loss accesses distributed power source with certain node.Because, when connecing
Enter distributed power source capacity it is smaller when, reduce the power transmission on circuit, hence in so that system active power loss reduce;And work as and divide
When cloth power exceedes certain value, system load flow will be inverted, and the access for such as now continuing to increase distributed power source is held
Amount, then cause system losses to increase.Typical " u "-shaped curve is quadratic function relation, the non-linear function of its first derivative, so
In the present invention, linear approximation is carried out to single order power loss sensitivity, this is also the basis that the present invention can be applicable.In addition, of the invention
Precondition to be distributed power source controlled using PQ, power factor is 1.
Such as Fig. 2, during distributing rationally, because the distributed power source accessed before is to each in configuration process afterwards
Node single order power loss sensitivity coefficient has an impact, therefore, and single order power loss sensitivity coefficient need to be modified.Amendment does not change one
The rate of change of rank power loss sensitivity, only changes its starting point, i.e., only change its intercept and do not change its slope.
The specific implementation method flow of the present invention is as shown in Figure 3.Of the invention mainly to divide three key steps, Part I is
Initialization procedure, second process for distributing rationally.It is briefly described with reference to Fig. 3:
Initialization procedure:
It is the acquisition and arrangement for initial data first, required data are system power net network parameter, load data,
And distribution power access total capacity and optimization step-length to be optimized.Delimit the alternate node model for having access to distributed power source
Enclose, when typically without particular/special requirement, the scope of system optimization is that any node all allows to access distributed power source.
When not accessing distributed power source access, a Load flow calculation is carried out, calculation of tidal current is recorded, and it is refined by trend
Than the single order power loss sensitivity coefficient of each node of Matrix Solving now, it is recorded.Arbitrarily choose the ginseng of a distributed power source
The 30% of access capacity, typically smaller than total load is examined, individually the capacity is accessed in each node of system (in addition to balance nodes)
Distributed power source, a Load flow calculation is carried out under each operating mode, and it is sensitive to calculate the single order network loss of each node under each operating mode
Coefficient is spent, it is recorded.Sensitivity amendment matrix Μ is tried to achieve by two groups of data of record.Based on single order power loss sensitivity coefficient line
Property change it is approximate, solve the approximate analysis table that each node single order power loss sensitivity coefficient changes with distributed power source access capacity
Up to formula, the matrix of the slope composition of expression formula, as sensitivity amendment matrix Μ.
When accessing situation for many distributed power sources, influence of other nodes to the node need to be considered.Therefore, complete often to walk
Configuration after, single order power loss sensitivity coefficient need to be modified.In this method, by node serial number order, successively access point
Cloth power supply, modification method is as follows:
1. ingress in order of numbers waiting successively accesses distributed power source, counts and has accessed distributed power source before and treats
Access the amendment of distributed power source, correction be its it is linear plus and.
2. the amendment to single order power loss sensitivity only changes the intercept b of one order analytic expressioni, do not change its slope Mij
Value.
Specific mathematical expression such as following formula:
In formula,And LSFiIt is respectively the node i single order power loss sensitivity before and after amendment;PDG,jAccessed for node j
Distributed power source active power.
Distribute process rationally:
Sorted first to allowing the node that distributed power source is accessed to carry out single order power loss sensitivity coefficient, select single order network loss
The minimum node of sensitivity accesses the distributed power source of one step.Secondly, after access distributed power source, to the single order of each node
Power loss sensitivity is modified, and decision-making is distributed rationally so as to next step.
Fig. 4 is the inventive method schematic diagram, and wherein solid line is the single order power loss sensitivity coefficient before amendment, and dotted line is
Single order power loss sensitivity coefficient after having corrected.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, not to present invention protection model
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deform still within protection scope of the present invention that creative work can make.
Claims (8)
1. a kind of distributed power source Optimal Configuration Method suitable for power distribution network, it is characterized in that, comprise the following steps:
Step one, the primary data information (pdi) of power distribution network is obtained, and determines the position of balance nodes, total appearance of distributed power source access
Amount and capacity step-length;
Step 2, when not accessing distributed power source, tries to achieve the single order power loss sensitivity coefficient of each node of system;
Step 3, individually accesses the distributed power source of setting capacity in system each node, each node of system is tried to achieve respectively
Single order power loss sensitivity coefficient under every kind of operating mode;
Step 4, utilizes the relational expression one order of each node single order power loss sensitivity coefficient and distributed power source access capacity
Coefficient analytic expression, tries to achieve sensitivity amendment matrix Μ;
Step 5, by the distributed power source of the minimum node access capacity step-length of the single order power loss sensitivity coefficient tried to achieve;Access
After capacity step-length distributed power source, each node single order power loss sensitivity is modified by sensitivity amendment matrix Μ, and remembers
Record single step allocation plan;
Step 6, repeat step five, until reaching access total capacity, completes to distribute rationally.
2. a kind of distributed power source Optimal Configuration Method suitable for power distribution network as claimed in claim 1, it is characterized in that, the step
The capacity of the distributed power source of the setting capacity accessed in rapid three is less than the 30% of total load.
3. a kind of distributed power source Optimal Configuration Method suitable for power distribution network as claimed in claim 1, it is characterized in that, the step
Impedance and each node between the voltage class of the power distribution network primary data information (pdi) obtained in rapid one including system, node
Injecting power.
4. a kind of distributed power source Optimal Configuration Method suitable for power distribution network as claimed in claim 1, it is characterized in that, single order net
Damage sensitivity coefficient method for solving be:A Load flow calculation is first carried out, trend obtains the Jacobean matrix of power flow equation when restraining
Battle array, single order power loss sensitivity coefficient is tried to achieve using the relation of Jacobian matrix and system losses.
5. a kind of distributed power source Optimal Configuration Method suitable for power distribution network as claimed in claim 4, it is characterized in that, calculate each
Node single order power loss sensitivity coefficient, specific method is:
Wherein, PlossFor system losses;GijFor electric conductivity value between system node;UiFor node i voltage;UjFor node j voltages;For derivative of the active power loss to node i active injection power;PiThe active power injected for each node;X=[θ, U] is section
Point voltage phase angle and amplitude, θ=[θ1,θ2,…,θN], U=[U1,U2,…,UN], N is node system number;J is system load flow side
Journey Jacobian matrix.
6. a kind of distributed power source Optimal Configuration Method suitable for power distribution network as claimed in claim 1, it is characterized in that, based on one
Rank power loss sensitivity coefficient linear change it is approximate, solve each node single order power loss sensitivity coefficient and accessed with distributed power source and held
Measure the approximate analysis expression formula of change, the matrix of the slope composition of expression formula, as sensitivity amendment matrix Μ.
7. a kind of distributed power source Optimal Configuration Method suitable for power distribution network as described in claim 1 or 6, it is characterized in that, spirit
Sensitivity correction matrix Μ method for solving is, specific as follows:
Wherein,For derivative of the active power loss to node i active injection power;MijFor single order power loss sensitivity coefficient analytic expression
Slope;dPloss/dPijRepresent after node j access distributed power sources, the single order power loss sensitivity coefficient of node i;PlossTo be
System network loss;dPloss/dPi0When not accessing distributed power source, the single order power loss sensitivity coefficient of node i;ΔPDGFor given distribution
Formula power supply capacity.
8. a kind of distributed power source Optimal Configuration Method suitable for power distribution network as claimed in claim 1, it is characterized in that, the step
Modification method in rapid five is:
Amendment to single order power loss sensitivity coefficient only changes the intercept b of single order power loss sensitivity coefficient analytic expressioni, do not change it
Slope MijValue, specific mathematical expression such as following formula:
In formula, LSFi 0And LSFiRespectively correct front and rear node i single order power loss sensitivity coefficient;PDG,jPoint accessed for node j
Cloth power supply active power.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103150606A (en) * | 2013-01-22 | 2013-06-12 | 中国电力科学研究院 | Optimal power flow optimization method of distributed power supplies |
CN103208797A (en) * | 2013-03-18 | 2013-07-17 | 西南交通大学 | Estimation method for new-energy-containing power distribution network state based on intelligent optimization technology |
CN103346576A (en) * | 2013-07-03 | 2013-10-09 | 杭州电子科技大学 | Power distribution network reactive compensation node sorting method based on second-order transmission loss sensitivity matrix |
CN103400208A (en) * | 2013-08-01 | 2013-11-20 | 天津大学 | Power distribution network distributive power supply optimal access capacity determining method based on cone optimization |
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WO2009111355A2 (en) * | 2008-02-29 | 2009-09-11 | Charles Rex Gandy | Distributed wind turbine electric generation system |
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103150606A (en) * | 2013-01-22 | 2013-06-12 | 中国电力科学研究院 | Optimal power flow optimization method of distributed power supplies |
CN103208797A (en) * | 2013-03-18 | 2013-07-17 | 西南交通大学 | Estimation method for new-energy-containing power distribution network state based on intelligent optimization technology |
CN103346576A (en) * | 2013-07-03 | 2013-10-09 | 杭州电子科技大学 | Power distribution network reactive compensation node sorting method based on second-order transmission loss sensitivity matrix |
CN103400208A (en) * | 2013-08-01 | 2013-11-20 | 天津大学 | Power distribution network distributive power supply optimal access capacity determining method based on cone optimization |
Non-Patent Citations (2)
Title |
---|
一种分布式电源优化配置方法;杨昶宇等;《电测与仪表》;20150425;第52卷(第8期);109-114 * |
智能配电网中分布式电源的优化配置;崔弘等;《电气应用》;20110731;第30卷(第13期);36-41 * |
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