CN108233431A - A kind of active distribution network distributed optimization dispatching method and system - Google Patents
A kind of active distribution network distributed optimization dispatching method and system Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The present invention provides a kind of active distribution network distributed optimization dispatching method and system, including：Acquire power disturbance amount；The power cost model of power distribution network autonomous area pre-established is solved based on collected power disturbance amount；According to result of calculation, the power of each autonomous nodes in power distribution network autonomous area is distributed；The power cost model of the power distribution network autonomous area pre-established includes：Each distributed generation resource is generated electricity into incremental cost as consistency variable, is consistent the equal consumed energy ratio of each distributed generation resource.This method and system can overcome the shortcomings that communicating in traditional active distribution network Optimized Operation and is computationally intensive, realize the optimization of active distribution network dispatching algorithm.
Description
Technical field
The invention belongs to dispatching of power netwoks fields, and in particular to a kind of active distribution network distributed optimization dispatching method and be
System.
Background technology
As large-scale distributed power supply, energy storage device, electric vehicle and flexible load access power distribution network, conventional electrical distribution
Net gradually becomes active power distribution network, and controllable device gradually increases, and the concept of active distribution network gradually extends, how to active distribution
Net, which optimizes scheduling, becomes safe and stable power distribution network, economy, the key of Effec-tive Function.
A large amount of distributed generation resources have been accessed in active distribution network, distributed generation resource is influenced by factors such as natural environments,
With larger fluctuation, the influence that the distribution network in electric system end receives customer charge fluctuation is also very big；It passes
In the centerized fusion of system, there is higher requirement for the computing capability of control centre, while it is higher that power distribution network is also required to have
Communication capacity；With a large amount of accesses of distributed generation resource and flexible load, the Optimization Scheduling of traditional power distribution network can not fit
Answer the variation of communication network topology structure.
Invention content
To overcome the shortcomings of the problems such as above-mentioned prior art calculates and the traffic is big and does not adapt to change in topology, this hair
It is bright to propose a kind of active distribution network distributed optimization dispatching method and system.This method and system are calculated using improved consistency
Method using each distributed generation resource incremental cost as consistency variable, optimizes the operating cost of active distribution network, so as to real
The Optimized Operation of existing active distribution network.
Solution is used by realizing above-mentioned purpose：
A kind of active distribution network distributed optimization dispatching method, thes improvement is that：
Acquire power disturbance amount；
The power of the power distribution network autonomous area-cost model pre-established is solved based on collected power disturbance amount；
According to result of calculation, the power of each autonomous nodes in the power distribution network autonomous area is distributed；
Power-cost model of the power distribution network autonomous area pre-established includes：Each distributed generation resource is generated electricity and is increased
Cost is measured as consistency variable, is consistent the equal consumed energy ratio of each distributed generation resource.
First optimal technical scheme provided by the invention, it is improved in that the power of the power distribution network autonomous area-
The foundation of cost model includes：
The active power of autonomous nodes is obtained with reference to the power disturbance amount；
Topological structure based on power distribution network using the active power of the autonomous nodes acquired is first using consistency algorithm
Beginning condition, iteration update autonomous nodes consistency incremental cost；
The active power after each autonomous node updates is asked for according to updated incremental cost；
According to the updated active power calculating of all autonomous nodes and the deviation of the power disturbance amount, restrained when reaching
Terminate iteration after condition, otherwise using the active power after each autonomous node updates as the newer condition of next iteration after
Continuous iteration update autonomous nodes consistency incremental cost.
Second optimal technical scheme provided by the invention, it is improved in that the autonomous nodes consistency increment into
This calculation formula is as follows：
Wherein, Ci(k) it is the newer consistency incremental cost of the kth of autonomous nodes i time iteration, PGi(k) it is kth time iteration
The active power of updated autonomous nodes i, FiCost function for autonomous nodes i；
FiAs following formula calculates：
Wherein：ai、biAnd ciFor the cost coefficient of preset autonomous nodes i, PGiActive power for autonomous nodes i.
Third optimal technical scheme provided by the invention, it is improved in that the topological structure based on power distribution network,
Using consistency algorithm using the active power of the autonomous nodes acquired as primary condition, iteration update autonomous nodes consistency
Incremental cost such as following formula：
Wherein dij(k) for kth time iteration the element of state-transition matrix i rows j row when；The state-transition matrix is according to institute
The Laplacian Matrix generation of power distribution network autonomous area is stated, the Laplacian Matrix is given birth to according to the topological structure of the power distribution network
Into；Ci(k) initial value Ci(0) according to the active power of the autonomous nodes i of acquisition as PGi(0) increased using autonomous nodes consistency
Amount cost calculation formula is calculated.
4th optimal technical scheme provided by the invention, it is improved in that described according to updated incremental cost
Ask for the active power such as following formula after each autonomous node updates：
Wherein, Ci(k+1) it is updated incremental cost, PGi(k+1) it is the updated active power of autonomous nodes i.
5th optimal technical scheme provided by the invention, it is improved in that the power of the power distribution network autonomous area-
Power disturbance amount includes in cost model：
When power-cost model of the power distribution network autonomous area is for being incorporated into the power networks, the power disturbance includes：Mesh
Mark exchanges power and the power distribution network autonomous area internal loading variable quantity；
When power-cost model of the power distribution network autonomous area is used for off-grid operation, the power disturbance includes：Dimension
Hold the active power of the distributed generation resource of power distribution network autonomous area frequency stabilization.
6th optimal technical scheme provided by the invention, it is improved in that power-cost mould when being incorporated into the power networks
The constraints of type such as following formula：
Wherein, i=1,2 ..., n, numbers of the n for the autonomous nodes of power distribution network autonomous area, TtotIt is total for autonomous area power generation
Cost, Δ P be autonomous area power variation, Δ PJThe target obtained for autonomous area from active distribution network exchanges power, Δ PL
For the variable quantity of autonomous area internal loading, Δ PGiThe variable quantity of active power for autonomous nodes i outputs,It is saved for autonomy
The minimum power limit of point i,For the maximum power limit of autonomous nodes i,For autonomous nodes i power regulations speed
The lower limit of degree,For the upper limit of autonomous nodes i power regulation speed,Power regulation speed for autonomous nodes i
Degree.
7th optimal technical scheme provided by the invention, it is improved in that described update according to all autonomous nodes
Active power afterwards calculates and the deviation of the power disturbance amount, terminates iteration after the condition of convergence is reached, otherwise will be described each
The updated active power of autonomous nodes continues iteration update autonomous nodes consistency as the newer condition of next iteration and increases
Cost is measured, including：
Wherein：
Δ P=Δs PJ+ΔPL
ΔP′GiFor the active power variable quantity by the updated autonomous nodes i of iteration；The Δ P 'GiIt calculates as follows
Formula：
ΔP′Gi=PGi(k)-PGi(0)
As Δ Pbal<During ε, convergence is calculated, stops iteration, wherein, ε is preset convergence coefficient；Otherwise, after according to update
Active-power PGi(k) using autonomous nodes consistency incremental cost calculation formula iteration update autonomous nodes consistency increment into
This.
8th optimal technical scheme provided by the invention, it is improved in that power-cost mould during the off-grid operation
The constraints of type such as following formula：
Wherein, i=1,2 ..., n, numbers of the n for the autonomous nodes of power distribution network autonomous area, TtotIt is total for autonomous area power generation
Cost, Δ P be autonomous area power variation, Δ PQiFor autonomous nodes i be maintain rated frequency needed for power shortage, Δ
PGiThe variable quantity of active power for autonomous nodes i outputs,For the minimum power limit of autonomous nodes i,For certainly
The maximum power limit of node i is controlled,For the lower limit of autonomous nodes i power regulation speed,For autonomous nodes i
The upper limit of power regulation speed,Power regulation speed for autonomous nodes i.
9th optimal technical scheme provided by the invention, it is improved in that described update according to all autonomous nodes
Active power afterwards calculates and the deviation of the power disturbance amount, terminates iteration after the condition of convergence is reached, otherwise will be described each
The updated active power of autonomous nodes continues iteration update autonomous nodes consistency as the newer condition of next iteration and increases
Cost is measured, including：
According to the updated active power calculating of all autonomous nodes and the deviation of the power disturbance amount during off-grid operation
ΔPbalSuch as following formula：
Wherein：
Δ P=Δs PXt+ΔPEh
Wherein, Δ PXtIt is to remain increased active needed for rated frequency for the autonomous nodes t comprising rotation distributed generation resource
Power, Δ PEhIt is to maintain increased active power needed for rated frequency, Δ P for the autonomous nodes h comprising energy storage deviceXtAnd Δ
PEhIt is all contained in Δ PQiIn, t=1,2 ..., T, the number of autonomous nodes of the T to include rotation distributed generation resource, h=1,2 ...,
The number of H, H for the autonomous nodes comprising energy storage device, T+H=n；
ΔPXtWith Δ PEhCalculate such as following formula：
Wherein Δ f is frequency difference, as following formula calculates：
Δ f=fn-fz
fnFor the rated frequency in autonomous area, fzFor actual frequency；
CGtIt is calculated for the active power regulation coefficient for rotating distributed generation resource of autonomous nodes t in autonomous area, such as following formula：
CGt=1-KGtΔf
Wherein, KGtThe cell frequency governing response coefficient of rotation distributed generation resource included for preset autonomous nodes t；
KStThe cell frequency governing response coefficient of the autonomous nodes t of rotation distributed generation resource is included for autonomous area, it is as follows
Formula calculates：
KShThe cell frequency governing response coefficient of the autonomous nodes h of energy storage device is included for autonomous area, as following formula calculates：
Wherein, KGhFor the cell frequency governing response coefficient of the preset autonomous nodes h energy storage devices included, KLIt is default
Autonomous area internal loading cell frequency governing response coefficient, PGzIt is f for frequencyzWhen, the active power in autonomous nodes, PLzFor
Frequency is fzWhen, the load in autonomous nodes, PGzAnd PLzIt is obtained by actual measurement；
ΔP′GiFor the active power variable quantity by the updated autonomous nodes i of iteration；The Δ P 'GiIt calculates as follows
Formula：
ΔP′Gi=PGi(k)-PGi(0)
As Δ Pbal<During ε, convergence is calculated, stops iteration, wherein, ε is preset convergence coefficient；Otherwise, after according to update
Active-power PGi(k) using autonomous nodes consistency incremental cost calculation formula iteration update autonomous nodes consistency increment into
This.
Tenth optimal technical scheme provided by the invention, it is improved in that it is described according to result of calculation, described in distribution
The power of each autonomous nodes in power distribution network autonomous area, including：
With the P after convergenceGi(k) value is the performance number of the autonomous nodes i of optimization, by PGi(k) it is autonomous to distribute to the power grid
Corresponding autonomous nodes i in region.
11st optimal technical scheme provided by the invention, it is improved in that as the updated P of iterationGi(k) value
It is more thanOr it is less thanWhen, autonomous nodes i is exited from distribution network topological structure, with the autonomous nodes i phases
Adjacent autonomous nodes change corresponding Laplacian Matrix element, and n is subtracted to the number of the autonomous nodes exited.
12nd optimal technical scheme provided by the invention, it is improved in that the dij(k) such as following formula is calculated：
Wherein, lij(k) for kth time iteration the element of power distribution network autonomous area Laplacian Matrix i rows j row, z whenij(k)
For lij(k) weights, zij(k) and lij(k) constraints such as following formula：
A kind of active distribution network distributed optimization dispatches system, it is improved in that including disturbance acquisition module, model
Solve module and power distribution module；
The disturbance acquisition module is used to acquire power disturbance amount；
The model solution module is used for based on collected power disturbance amount to the power distribution network autonomous area that pre-establishes
Power-cost model solve；
The power distribution module is used for according to result of calculation, distributes each autonomous nodes in the power distribution network autonomous area
Power；
Power-cost model of the power distribution network autonomous area pre-established includes：Each distributed generation resource is generated electricity and is increased
Cost is measured as consistency variable, is consistent the equal consumed energy ratio of each distributed generation resource.
13rd optimal technical scheme provided by the invention, it is improved in that modeling module is further included, the modeling
Module includes：Power collecting subelement, cost update subelement, power update subelement and judgment sub-unit；
The power collecting subelement is used to obtain the active power of autonomous nodes with reference to the power disturbance amount；
Cost update subelement is for the topological structure based on power distribution network, using consistency algorithm with described in acquiring
The active power of autonomous nodes is primary condition, and iteration updates autonomous nodes consistency incremental cost；
The power update subelement is active after each autonomous node updates for being asked for according to updated incremental cost
Power；
The judgment sub-unit is used to be calculated and the power disturbance according to the updated active power of all autonomous nodes
The deviation of amount terminates iteration after the condition of convergence is reached, otherwise using the active power after each autonomous node updates as under
The newer condition of an iteration continues iteration update autonomous nodes consistency incremental cost.
14th optimal technical scheme provided by the invention, it is improved in that the disturbance acquisition module is included simultaneously
Net unit and off-network subelement；
The grid-connected subelement is used for when power-cost model of the power distribution network autonomous area is for being incorporated into the power networks,
The target for acquiring power distribution network autonomous area exchanges power and the power distribution network autonomous area internal loading variable quantity；
The off-network subelement is used for when power-cost model of the power distribution network autonomous area is used for off-grid operation,
Acquisition maintains the active power of the distributed generation resource of power distribution network autonomous area frequency stabilization.
Compared with the immediate prior art, the device have the advantages that as follows：
The present invention is based on the active distribution network distributed optimization dispatching methods for improving consistency algorithm, are disturbed by acquiring power
Momentum is solved the power of the autonomous nodes of optimization using power-cost model and is allocated, and can overcome traditional active distribution
The shortcomings that communicating in net Optimized Operation and is computationally intensive, realizes the optimization of active distribution network dispatching algorithm.
Description of the drawings
Fig. 1 is a kind of active distribution network distributed optimization dispatching method basic procedure schematic diagram provided by the invention；
Fig. 2 is a kind of active distribution network distributed optimization dispatching method idiographic flow schematic diagram provided by the invention.
Specific embodiment
At present, the main control structure used in active distribution network is layered distribution type control mode, the controlling party
Formula is divided into multiple optimum management levels and autonomous area according to the physical arrangement of active distribution network with voltage class, realizes
The layering and zoning regulation and administration of active distribution network.Coordinate key-course with reference to different optimization aims to active distribution network and each autonomy
Exchange power instruction between region is updated, and regional autonomy layer carries out autonomous according to the active power instruction for coordinating key-course
Optimized Operation in region.In active distribution network, power distribution system can be promoted by being complementary to one another between different electrical energy forms
The efficiency for entirety of uniting, this is also the development trend of following power distribution network, but with the controllable device accessed in active distribution network
Increase so that power distribution network is with more dispersibility, this can increase the quantity of controllable autonomous area in active distribution network so that for being
The analysis of system is more complicated.The present invention uses improved consistency algorithm, using each distributed generation resource incremental cost as consistency
Variable optimizes the operating cost of active distribution network, so as to fulfill the Optimized Operation of active distribution network.
According to equal loss of micro incremental rate principle, if the equal consumed energy ratio of each power supply is consistent, each power supply can be realized
Between active power optimum allocation.This method chooses the power generation incremental cost C of autonomous nodesiAs consistency variable, by changing
Into discrete type consistency algorithm be iterated calculating, the active power that update autonomous nodes are sent out, after successive ignition, from
It controls each autonomy node consistency variable in region and meets convergence precision, the relatively low distributed generation resource of cost of electricity-generating undertakes more work(
Rate shock wave realizes the Optimized Operation of active power.When being incorporated into the power networks, autonomous area passes through pilot bus and higher level's power grid
Contact obtains target and exchanges power Δ PJ, while autonomous area internal loading variable quantity is Δ PL, exchange in power and autonomous area
The sum of load variations amount power disturbance variables of the Δ P as the autonomous area, and pass through communication protocol and be transmitted to each autonomous section
Point.When off-grid operation, using maintain power distribution network autonomous area frequency stabilization distributed generation resource active power as the autonomy
The power disturbance variable in region.
The specific embodiment of the present invention is described in further detail below in conjunction with the accompanying drawings.
A kind of active distribution network distributed optimization dispatching method basic procedure schematic diagram provided by the invention as shown in Figure 1,
Including：
Acquire power disturbance amount；
The power of the power distribution network autonomous area-cost model pre-established is solved based on collected power disturbance amount；
According to result of calculation, the power of each autonomous nodes in power distribution network autonomous area is distributed；
Power-cost model of the power distribution network autonomous area pre-established includes：By each distributed generation resource generate electricity increment into
This is consistent the equal consumed energy ratio of each distributed generation resource as consistency variable.
Specifically, a kind of active distribution network distributed optimization dispatching method includes：
1st, target is minimised as with cost of electricity-generating, establishes the constraints of power-cost model of power distribution network autonomous area,
1a：When being incorporated into the power networks, diesel-driven generator, miniature gas turbine and energy storage device etc. are included in active distribution network,
Target is optimized for cost of electricity-generating in the present invention, the constraints of power-cost model is specifically described as：
Wherein, i=1,2 ..., n, numbers of the n for the autonomous nodes of power distribution network autonomous area, PGiFor the active of autonomous nodes i
Power, FiFor the cost function of autonomous nodes i, TtotFor autonomous area total generation cost, Δ P is autonomous area power variation,
ΔPJThe target obtained for autonomous area from active distribution network exchanges power, Δ PLFor the variable quantity of autonomous area internal loading, Δ
PGiThe variable quantity of active power for autonomous nodes i outputs,For the minimum power limit of autonomous nodes i,For autonomy
The maximum power limit of node i,For the lower limit of autonomous nodes i power regulation speed,For autonomous nodes i power tune
The upper limit of speed is saved,Power regulation speed for autonomous nodes i.
1b：During off-grid operation, still with the minimum optimization aim of cost of electricity-generating.But due under off-grid operation state, actively
Power distribution network can not carry out Power Exchange with autonomous area, and the power disturbance variable of autonomous area is maintains autonomous area frequency stabilization
The controlled distribution formula power supply active power adjusted is needed, the constraints of power-cost model is specifically described as：
Wherein, Δ PQiIt is the power shortage maintained needed for rated frequency, other parameter meaning and grid-connected fortune for autonomous nodes i
Meaning of parameters is identical during row state.
Wherein, during grid-connected and off-grid operation, the cost function F of autonomous nodes iiSuch as following formula：
ai、biAnd ciCost coefficient for preset autonomous nodes i.
2nd, the power of the power distribution network autonomous area-cost model pre-established is solved based on collected power disturbance amount
The incremental cost of autonomous nodes is chosen as consistency variable, the expression formula of incremental cost is：
Wherein k represents iteration update times；PGi(k) active power for the updated autonomous nodes i of kth time iteration；
Topological structure based on power distribution network, using consistency algorithm using the active power of autonomous nodes acquired as initial strip
Part, iteration update autonomous nodes consistency incremental cost such as following formula：
Wherein dij(k) for kth time iteration the element of state-transition matrix i rows j row when；State-transition matrix is according to power distribution network
The Laplce Laplace matrixes generation of autonomous area；Laplacian Matrix is generated according to the topological structure of power distribution network；Ci(k)
Initial value Ci(0) according to the active power of the autonomous nodes i of acquisition as PGi(0) it is calculated using formula (4)；
Formula (5) is rewritable into matrix form
C (k+1)=D (k) C (k) (6)
In formula, C=[C1,C2,…,Cn]T, CiFor the consistency incremental cost of autonomous nodes i, state-transition matrix D (k)=
[dij(k)], i, j ∈ τ, τ ∈ 1,2 ... n.
The active power such as following formula after each autonomous node updates is asked for according to updated incremental cost：
Wherein, Ci(k+1) it is the updated incremental costs of autonomous nodes i, PGi(k+1) have for autonomous nodes i is updated
Work(power.
It is calculated according to the updated active power of all autonomous nodes and the deviation of power disturbance amount, when reaching the condition of convergence
After terminate iteration, otherwise using the active power after each autonomous node updates as the newer condition continuation iteration of next iteration more
New autonomous nodes consistency incremental cost, including：
2a：When being incorporated into the power networks, the more new calculation method of pilot bus consistency incremental cost is：
Wherein, μ be preset regulationing factor of power, Δ PbalFor the updated active power of all autonomous nodes calculate with
The deviation of power disturbance amount；Pilot bus is the autonomous nodes with higher level's grid contact；
When | Δ Pbal|<During ε, convergence is calculated, stops iteration；Wherein, ε is preset convergence coefficient, is one small just
Number；Otherwise, according to updated active-power PGi(k) autonomous nodes consistency incremental cost is updated using formula (4) iteration.
Wherein, Δ PbalCalculate such as following formula：
Wherein, Δ P is the power disturbance amount of acquisition, as following formula calculates：
Δ P=Δs PJ+ΔPL (10)
ΔP′GiFor the active power variable quantity by the updated autonomous nodes i of iteration, Δ P 'GiCalculate such as following formula：
ΔP′Gi=PGi(k)-PGi(0) (11)
2b：During off-grid operation, deviation delta PbalAs following formula calculates：
Wherein：Δ P=Δs PXt+ΔPEh (12)
Wherein, Δ PXtIt is to remain increased active needed for rated frequency for the autonomous nodes t comprising rotation distributed generation resource
Power, Δ PEhIt is to maintain increased active power needed for rated frequency, Δ P for the autonomous nodes h comprising energy storage deviceXtAnd Δ
PEhIt is all contained in Δ PQiIn, t=1,2 ..., T, the number of autonomous nodes of the T to include rotation distributed generation resource, h=1,2 ...,
The number of H, H for the autonomous nodes comprising energy storage device, T+H=n；
ΔPXtWith Δ PEhCalculate such as following formula：
Wherein Δ f is frequency difference, as following formula calculates：
Δ f=fn-fz (14)
fnFor the rated frequency in autonomous area, fzFor actual frequency；
CGtIt is calculated for the active power regulation coefficient for rotating distributed generation resource of autonomous nodes t in autonomous area, such as following formula：
CGt=1-KGtΔf (15)
Wherein, KGtThe cell frequency governing response coefficient of rotation distributed generation resource included for preset autonomous nodes t；
KStThe cell frequency governing response coefficient of the autonomous nodes t of rotation distributed generation resource is included for autonomous area, it is as follows
Formula calculates：
KShThe cell frequency governing response coefficient of the autonomous nodes h of energy storage device is included for autonomous area, as following formula calculates：
Wherein, KGhFor the cell frequency governing response coefficient of the preset autonomous nodes h energy storage devices included, KLIt is default
Autonomous area internal loading cell frequency governing response coefficient, PGzIt is f for frequencyzWhen, the active power in autonomous nodes, PLzFor
Frequency is fzWhen, the load in autonomous nodes, PGzAnd PLzIt is obtained by actual measurement；
ΔP′GiFor the active power variable quantity by the updated autonomous nodes i of iteration, using with being incorporated into the power networks when is identical
Computational methods.
It is identical during with being incorporated into the power networks, as Δ Pbal<During ε, convergence is calculated, stops iteration, wherein, ε is for preset convergence
Number；Otherwise, according to updated active-power PGi(k) autonomous nodes consistency incremental cost is updated using formula (1) iteration.
During grid-connected or off-grid operation, when consistency algorithm is used in distributed autonomous area, if certain autonomous nodes has
Work(power exceeds its active power adjustable extent, the i.e. newer P of iterationGi(k) value is more thanOr it is less thanWhen, the section
Point should be exited from network topology structure, and adjacent autonomous nodes should change corresponding Laplace matrix elements, and then revise shape
State transfer matrix dij(k) element in, and n is subtracted to the number of the autonomous nodes exited.By this processing mode, overcome
Not the shortcomings that situation changed in active distribution network Optimized Operation for network topology structure is not adapted in conventional method.
3rd, improved consistency algorithm
Laplace matrixes are acquired by adjacency matrix, and in traditional graph theory, adjacency matrix is simple 0-1 matrixes, therefore
The size of element is only related to the structure of communication network topology figure in Laplace matrixes.But due to the particularity of electric system, respectively
The controllable capacity of autonomous nodes is different, distributed generation resource power of the assembling unit Ramp Rate is different in autonomous nodes and incremental cost not
Together, if taking identical adjacency matrix element that can limit the convergence rate of consistency variable to adjacent node.Meanwhile in convergence coefficient
In the case of remaining unchanged, in Laplace matrixes the variation of element do not interfere with last convergence precision.Therefore to different neighbours
Meet the Laplace matrix elements l between nodeij(k) the weight z of response is assignedij(k), algorithm the convergence speed can be improved.But
It is the fluctuation to reduce iteration, weight factor needs to meet following requirement：
By improved dij(k) such as following formula is calculated：
4th, according to result of calculation, the power of each autonomous nodes in power distribution network autonomous area is distributed
With the P after iteration update convergence in step beforeGi(k) value is the performance number of the autonomous nodes i of optimization, by optimization
Performance number distributes to each corresponding autonomous nodes in power grid autonomous area.
A kind of active distribution network distributed optimization dispatching method idiographic flow schematic diagram is as shown in Fig. 2, the characteristics of this method
It is the generated energy that each node is adjusted by the communication exchanges between controllable autonomous nodes and adjacent node, realizes each controllable node
The consistent collaboration of incremental cost, its step are as follows：
Step 1：It asks for exchanging power or the power of the autonomous area between autonomous area and higher level's coordination key-course
Vacancy, and calculate the consistency incremental cost of each node；
Step 2：The Laplace matrixes of the network are formed by the topological structure of autonomous area, and according to improved one
Cause property algorithm forms corresponding state-transition matrix；
Step 3：Each autonomous nodes incremental cost is updated using consistency algorithm, and it is updated to ask for corresponding autonomous nodes
Active power；
Step 4：Updated autonomous nodes active power is judged whether in its power bracket, if beyond its active power
Range, then the node exited from network structure, update network topology structure；
Step 5：Whether the condition of convergence is met according to convergence criterion, judges whether to need iterative calculation next time, if full
Sufficient condition then exports each autonomous nodes active power.
By above-mentioned implementation steps, can electric network model that province county participates in many ways flexibly controlled, meet power grid
The analysis of operation characteristic.
Based on same inventive concept, the present invention also provides a kind of active distribution network distributed optimizations to dispatch system, due to
The principle that these equipment solve technical problem is similar to active distribution network distributed optimization dispatching method, and it is no longer superfluous to repeat part
It states.
The system includes：Disturb acquisition module, model solution module and power distribution module；
Wherein, disturbance acquisition module is used to acquire power disturbance amount；
Model solution module is used for based on collected power disturbance amount to the work(of power distribution network autonomous area that pre-establishes
Rate-cost model solves；
Power distribution module is used to distribute the power of each autonomous nodes in power distribution network autonomous area according to result of calculation；
Wherein, power-cost model of the power distribution network autonomous area pre-established includes：Each distributed generation resource is generated electricity and is increased
Cost is measured as consistency variable, is consistent the equal consumed energy ratio of each distributed generation resource.
Wherein, which further includes modeling module, and modeling module includes：Power collecting subelement, cost update subelement,
Power updates subelement and judgment sub-unit；
Power collecting subelement is used to combine the active power that power disturbance amount obtains autonomous nodes；
Cost update subelement is for the topological structure based on power distribution network, the autonomous nodes using consistency algorithm to acquire
Active power for primary condition, iteration update autonomous nodes consistency incremental cost；
Power update subelement is used to ask for the active power after each autonomous node updates according to updated incremental cost；
Judgment sub-unit is used to be calculated according to the updated active power of all autonomous nodes and the deviation of power disturbance amount,
Terminate iteration after the condition of convergence is reached, it is otherwise that the active power after each autonomous node updates is newer as next iteration
Condition continues iteration update autonomous nodes consistency incremental cost.
Wherein, disturbance acquisition module includes grid-connected subelement and off-network subelement；
Grid-connected subelement is used to, when power-cost model of power distribution network autonomous area is for being incorporated into the power networks, acquire distribution
The target for netting autonomous area exchanges power and power distribution network autonomous area internal loading variable quantity；
Off-network subelement is used for when power-cost model of power distribution network autonomous area is used for off-grid operation, and acquisition maintains
The active power of the distributed generation resource of power distribution network autonomous area frequency stabilization.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the application
Apply the form of example.Moreover, the computer for wherein including computer usable program code in one or more can be used in the application
The computer program production that usable storage medium is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Finally it should be noted that:Above example is merely to illustrate the technical solution of the application rather than to its protection domain
Limitation, although the application is described in detail with reference to above-described embodiment, those of ordinary skill in the art should
Understand:Those skilled in the art read the specific embodiment of application can be still carried out after the application various changes, modification or
Person's equivalent replacement, but these changes, modification or equivalent replacement, are applying within pending claims.
Claims (16)
1. a kind of active distribution network distributed optimization dispatching method, it is characterised in that：
Acquire power disturbance amount；
The power of the power distribution network autonomous area-cost model pre-established is solved based on collected power disturbance amount；
According to result of calculation, the power of each autonomous nodes in the power distribution network autonomous area is distributed；
Power-cost model of the power distribution network autonomous area pre-established includes：By each distributed generation resource generate electricity increment into
This is consistent the equal consumed energy ratio of each distributed generation resource as consistency variable.
2. the method as described in claim 1, which is characterized in that power-cost model of the power distribution network autonomous area is built
It is vertical to include：
The active power of autonomous nodes is obtained with reference to the power disturbance amount；
Topological structure based on power distribution network, using consistency algorithm using the active power of the autonomous nodes acquired as initial strip
Part, iteration update autonomous nodes consistency incremental cost；
The active power after each autonomous node updates is asked for according to updated incremental cost；
It is calculated according to the updated active power of all autonomous nodes and the deviation of the power disturbance amount, when reaching the condition of convergence
After terminate iteration, otherwise the active power after each autonomous node updates is continued to change as the newer condition of next iteration
Generation update autonomous nodes consistency incremental cost.
3. method as claimed in claim 2, which is characterized in that the autonomous nodes consistency incremental cost calculation formula is such as
Under：
Wherein, Ci(k) it is the newer consistency incremental cost of the kth of autonomous nodes i time iteration, PGi(k) it is kth time iteration update
The active power of autonomous nodes i afterwards, FiCost function for autonomous nodes i；
FiAs following formula calculates：
Wherein：ai、biAnd ciFor the cost coefficient of preset autonomous nodes i, PGiActive power for autonomous nodes i.
4. method as claimed in claim 3, which is characterized in that the topological structure based on power distribution network is calculated using consistency
For method using the active power of the autonomous nodes acquired as primary condition, iteration update autonomous nodes consistency incremental cost is as follows
Formula：
Wherein dij(k) for kth time iteration the element of state-transition matrix i rows j row when；The state-transition matrix is matched according to
The Laplacian Matrix generation of power grid autonomous area, the Laplacian Matrix are generated according to the topological structure of the power distribution network；
Ci(k) initial value Ci(0) according to the active power of the autonomous nodes i of acquisition as PGi(0) using autonomous nodes consistency increment
Cost calculation formula is calculated.
5. method as claimed in claim 4, which is characterized in that described that each autonomous nodes are asked for according to updated incremental cost
Updated active power such as following formula：
Wherein, Ci(k+1) it is the updated incremental costs of autonomous nodes i, PGi(k+1) it is the updated wattful powers of autonomous nodes i
Rate.
6. method as claimed in claim 5, which is characterized in that work(in power-cost model of the power distribution network autonomous area
Rate disturbance quantity includes：
When power-cost model of the power distribution network autonomous area is for being incorporated into the power networks, the power disturbance includes：Target is handed over
Change power and the power distribution network autonomous area internal loading variable quantity；
When power-cost model of the power distribution network autonomous area is used for off-grid operation, the power disturbance includes：Maintain institute
State the active power that the needs of the distributed generation resource of power distribution network autonomous area frequency stabilization adjust.
7. method as claimed in claim 6, which is characterized in that the constraints of power-cost model when being incorporated into the power networks
Such as following formula：
Wherein, i=1,2 ..., n, numbers of the n for the autonomous nodes of power distribution network autonomous area, TtotFor autonomous area power generation assembly
This, Δ P be autonomous area power variation, Δ PJThe target obtained for autonomous area from active distribution network exchanges power, Δ PLFor
The variable quantity of autonomous area internal loading, Δ PGiThe variable quantity of active power for autonomous nodes i outputs,For autonomous nodes i
Minimum power limit,For the maximum power limit of autonomous nodes i,For under autonomous nodes i power regulation speed
Limit,For the upper limit of autonomous nodes i power regulation speed, Δ Pi ratePower regulation speed for autonomous nodes i.
8. the method for claim 7, which is characterized in that described according to the updated effective power meter of all autonomous nodes
Calculate with the deviation of the power disturbance amount, terminate iteration after the condition of convergence is reached, otherwise will be after each autonomy node updates
Active power continue iteration update autonomous nodes consistency incremental cost as the newer condition of next iteration, including：
According to the updated active power calculating of all autonomous nodes and the deviation delta P of the power disturbance amount when being incorporated into the power networksbal
Such as following formula：
Wherein：
Δ P=Δs PJ+ΔPL
ΔP′GiFor the active power variable quantity by the updated autonomous nodes i of iteration；The Δ P 'GiCalculate such as following formula：
ΔP′Gi=PGi(k)-PGi(0)
As Δ Pbal<During ε, convergence is calculated, stops iteration, wherein, ε is preset convergence coefficient；Otherwise, had according to updated
Work(power PGi(k) autonomous nodes consistency incremental cost is updated using autonomous nodes consistency incremental cost calculation formula iteration.
9. method as claimed in claim 6, which is characterized in that the constraints of power-cost model during the off-grid operation
Such as following formula：
Wherein, i=1,2 ..., n, numbers of the n for the autonomous nodes of power distribution network autonomous area, TtotFor autonomous area power generation assembly
This, Δ P be autonomous area power variation, Δ PQiFor autonomous nodes i be maintain rated frequency needed for power shortage, Δ PGi
The variable quantity of active power for autonomous nodes i outputs,For the minimum power limit of autonomous nodes i,It is saved for autonomy
The maximum power limit of point i,For the lower limit of autonomous nodes i power regulation speed,For autonomous nodes i power tune
Save the upper limit of speed, Δ Pi ratePower regulation speed for autonomous nodes i.
10. method as claimed in claim 9, which is characterized in that described according to the updated active power of all autonomous nodes
Calculating and the deviation of the power disturbance amount, terminate iteration after the condition of convergence is reached, otherwise by each autonomous node updates
Active power afterwards continues iteration update autonomous nodes consistency incremental cost as the newer condition of next iteration, including：
According to the updated active power calculating of all autonomous nodes and the deviation delta P of the power disturbance amount during off-grid operationbal
Such as following formula：
Wherein：
Δ P=Δs PXt+ΔPEh
Wherein, Δ PXtIt is to maintain increased active power needed for rated frequency for the autonomous nodes t comprising rotation distributed generation resource,
ΔPEhIt is to maintain increased active power needed for rated frequency, Δ P for the autonomous nodes h comprising energy storage deviceXtWith Δ PEhWrap
It is contained in Δ PQiIn, t=1,2 ..., T, T are the number of the autonomous nodes comprising rotation distributed generation resource, and h=1,2 ..., H, H is packet
The number of autonomous nodes containing energy storage device, T+H=n；
ΔPXtWith Δ PEhCalculate such as following formula：
Wherein Δ f is frequency difference, as following formula calculates：
Δ f=fn-fz
fnFor the rated frequency in autonomous area, fzFor actual frequency；
CGtIt is calculated for the active power regulation coefficient for rotating distributed generation resource of autonomous nodes t in autonomous area, such as following formula：
CGt=1-KGtΔf
Wherein, KGtThe cell frequency governing response coefficient of rotation distributed generation resource included for preset autonomous nodes t；
KStThe cell frequency governing response coefficient of the autonomous nodes t of rotation distributed generation resource is included for autonomous area, such as following formula meter
It calculates：
KShThe cell frequency governing response coefficient of the autonomous nodes h of energy storage device is included for autonomous area, as following formula calculates：
Wherein, KGhFor the cell frequency governing response coefficient of the preset autonomous nodes h energy storage devices included, KLFor it is preset from
Control region internal loading cell frequency governing response coefficient, PGzIt is f for frequencyzWhen, the active power in autonomous nodes, PLzFor frequency
For fzWhen, the load in autonomous nodes, PGzAnd PLzIt is obtained by actual measurement；
ΔP′GiFor the active power variable quantity by the updated autonomous nodes i of iteration；The Δ P 'GiCalculate such as following formula：
ΔP′Gi=PGi(k)-PGi(0)
As Δ Pbal<During ε, convergence is calculated, stops iteration, wherein, ε is preset convergence coefficient；Otherwise, had according to updated
Work(power PGi(k) autonomous nodes consistency incremental cost is updated using autonomous nodes consistency incremental cost calculation formula iteration.
11. the method as described in claim 8 or 10, which is characterized in that it is described according to result of calculation, distribute the power distribution network certainly
The power of each autonomous nodes in region is controlled, including：
With the P after convergenceGi(k) value is the performance number of the autonomous nodes i of optimization, by PGi(k) the power grid autonomous area is distributed to
Interior corresponding autonomous nodes i.
12. the method as described in claim 7 or 9, which is characterized in that as the updated P of iterationGi(k) value is more thanOr
It is less thanWhen, autonomous nodes i is exited from distribution network topological structure, the autonomous nodes adjacent with the autonomous nodes i
Corresponding Laplacian Matrix element is changed, and state-transition matrix is calculated, and n is subtracted what is exited according to Laplacian Matrix
The number of autonomous nodes.
13. method as claimed in claim 12, it is characterised in that：It is described that state-transition matrix is calculated according to Laplacian Matrix
Such as following formula：
Wherein, lij(k) for kth time iteration the element of power distribution network autonomous area Laplacian Matrix i rows j row, z whenij(k) it is lij
(k) weights, zij(k) and lij(k) constraints such as following formula：
14. a kind of active distribution network distributed optimization dispatches system, which is characterized in that including disturbance acquisition module, model solution
Module and power distribution module；
The disturbance acquisition module is used to acquire power disturbance amount；
The model solution module is used for based on collected power disturbance amount to the work(of power distribution network autonomous area that pre-establishes
Rate-cost model solves；
The power distribution module is used for according to result of calculation, distributes the work(of each autonomous nodes in the power distribution network autonomous area
Rate；
Power-cost model of the power distribution network autonomous area pre-established includes：By each distributed generation resource generate electricity increment into
This is consistent the equal consumed energy ratio of each distributed generation resource as consistency variable.
15. system as claimed in claim 14, which is characterized in that further include modeling module, the modeling module includes：Power
Acquire subelement, cost update subelement, power update subelement and judgment sub-unit；
The power collecting subelement is used to obtain the active power of autonomous nodes with reference to the power disturbance amount；
The cost update subelement is for the topological structure based on power distribution network, the autonomy using consistency algorithm to acquire
The active power of node is primary condition, and iteration updates autonomous nodes consistency incremental cost；
The power update subelement is used to ask for the active power after each autonomous node updates according to updated incremental cost；
The judgment sub-unit is used to be calculated and the power disturbance amount according to the updated active power of all autonomous nodes
Deviation terminates iteration after the condition of convergence is reached, otherwise using the active power after each autonomous node updates as next time
The newer condition of iteration continues iteration update autonomous nodes consistency incremental cost.
16. system as claimed in claim 14, which is characterized in that the disturbance acquisition module includes grid-connected subelement and off-network
Subelement；
The grid-connected subelement is used for when power-cost model of the power distribution network autonomous area is for being incorporated into the power networks, acquisition
The target of power distribution network autonomous area exchanges power and the power distribution network autonomous area internal loading variable quantity；
The off-network subelement is used for when power-cost model of the power distribution network autonomous area is used for off-grid operation, acquisition
Maintain the active power of the distributed generation resource of power distribution network autonomous area frequency stabilization.
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