CN106169766A - Dynamic reactive method of adjustment containing distributed power source power distribution network - Google Patents
Dynamic reactive method of adjustment containing distributed power source power distribution network Download PDFInfo
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- CN106169766A CN106169766A CN201610649479.0A CN201610649479A CN106169766A CN 106169766 A CN106169766 A CN 106169766A CN 201610649479 A CN201610649479 A CN 201610649479A CN 106169766 A CN106169766 A CN 106169766A
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 239000003990 capacitor Substances 0.000 claims abstract description 19
- 238000004364 calculation method Methods 0.000 claims abstract description 15
- 230000002068 genetic effect Effects 0.000 claims abstract description 9
- 239000011159 matrix material Substances 0.000 claims description 18
- 230000008859 change Effects 0.000 claims description 12
- 210000000349 chromosome Anatomy 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- 230000005611 electricity Effects 0.000 claims description 3
- 239000004744 fabric Substances 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
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- 230000006978 adaptation Effects 0.000 claims 1
- 230000008901 benefit Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
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Classifications
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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
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides the dynamic reactive method of adjustment containing distributed power source power distribution network, including building idle adjustment object function, parameter in distribution network system is encoded, and then combine genetic algorithm to coding after data carry out fitness calculating, thus obtain object function optimal solution in the case of individually planning distributed power source and capacitor, by in the modeling that the idle dynamic in each region adjusts, the expected value of the active power loss obtained using probability load flow calculation method is as object function, Revised genetic algorithum is used to solve, the voltage magnitude installing node can be improved in power distribution network.
Description
Technical field
The invention belongs to field of electrical equipment, particularly to the dynamic reactive method of adjustment containing distributed power source power distribution network.
Background technology
Being faced with under the dual-pressure of current energy source situation and living environment, people start constantly to seek energy and environment and ask
The solution of topic, wherein distributed new generating is owing to using clean reproducible energy as its one-level energy, and having can
Regeneration, the advantage such as pollution-free, thus, the development of distributed generation technology by the extensive concern of countries in the world and is supported energetically.
Grid-connected fortune along with increasing distributed power source (Distributed Generation, distributed power source)
OK, due to the impact of the distributed power source in distribution system so that power distribution network flow of power characteristic is become by traditional one-way flow
The two-way flow of Cheng Xin, thus bring many new challenges to the stable operation of distribution system.Especially build containing distributed electrical
During the distribution system planning and configuration model in source, the voltage magnitude installing node is the most on the low side, the most how to improve and installs node
Voltage magnitude, has become as problem demanding prompt solution.
Summary of the invention
In order to solve shortcoming and defect present in prior art, present invention provide for improving in power distribution network and joint is installed
The dynamic reactive method of adjustment of the voltage magnitude of point.
In order to reach above-mentioned technical purpose, the invention provides the dynamic reactive adjustment side containing distributed power source power distribution network
Method, it is characterised in that described dynamic reactive method of adjustment, including:
Step one, division result based on installation distributed power source, build nothing in conjunction with distribution network system active power loss
Merit adjusts object function min (fd)；
Step 2, obtains the load data installing node in distribution network system, according to distributed power source in distribution network system
With the mount message of capacitor, load data is processed, determine distribution network system probability under the conditions of capacitorless puts into
Trend distribution situation；
Step 3, sets the control variable of idle adjustment, capacitor is put into number of times and actual switching frequency carries out whole
Number encoder, using the data after coding as chromosome, carries out initialization process to chromosome, obtains parent population；
Step 4, the individuality in parent population is calculated by the genetic algorithm retained based on band optimum, obtains filial generation kind
Whole individualities in progeny population are all carried out Probabilistic Load Flow analytical Calculation, obtain individuality each with progeny population corresponding by group
Fitness；
Step 5, if fitness corresponding to individuality each with progeny population meets end condition, then based on fitness
Determine idle adjustment object function min (fd) optimal solution.
Optionally, described idle adjustment object function min (fd) expression formula be:
In formula, f (ploss) represent that probability based on the system active power loss obtained by Probabilistic Load Flow analytical Calculation divides
Cloth density function, t1、t2Represent that electrical power system dynamic reactive power adjusts initial time and the finish time of period respectively.
Optionally, load data is carried out by the described mount message according to distributed power source in distribution network system and capacitor
Process, determine distribution network system Probabilistic Load Flow distribution situation under the conditions of capacitorless puts into, including:
Obtain the load power data installing node；
The power installing the mounted distributed power source of node and capacitor is added to load power data, obtains more
Load power data after Xin；
According to update after load power data to distribution network system capacitorless put under the conditions of Probabilistic Load Flow enter
Row Distributed Calculation.
Optionally, described according to update after load power data to distribution network system capacitorless put under the conditions of
Probabilistic Load Flow carries out Distributed Calculation, including:
Determine the changing value Δ Q of the changing value Δ P of active power in distributed power source, reactive power, and distributed electrical
Phase angle change amount Δ θ in source, voltage variety Δ V combine formula one and build Jacobian matrix J,
Wherein, JPθFor phase angle change amount in Jacobian matrix J be θ, active power variable quantity be the element of P, JPVFor refined gram
It is the element of P than voltage variety Δ V, active power variable quantity in matrix J, JQθFor phase angle change amount in Jacobian matrix J it is
θ, reactive power variable quantity are the element of Q, JQVIt is Q's for voltage variety Δ V, reactive power variable quantity in Jacobian matrix J
Element.
The technical scheme that the present invention provides has the benefit that
By in the modeling that idle dynamic in each region adjusts, the active power loss obtained with probability load flow calculation method
Expected value as object function, use Revised genetic algorithum to solve, it is possible to increase power distribution network is installed the electricity of node
Pressure amplitude value.
Accompanying drawing explanation
In order to be illustrated more clearly that technical scheme, the required accompanying drawing used in embodiment being described below
It is briefly described, it should be apparent that, the accompanying drawing in describing below is only some embodiments of the present invention, general for this area
From the point of view of logical technical staff, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the dynamic reactive method of adjustment that the present invention provides；
Fig. 2 is the Data Comparison curve synoptic diagram that the present invention provides.
Detailed description of the invention
Structure and advantage for making the present invention are clearer, make the structure of the present invention further below in conjunction with accompanying drawing
Describe.
Embodiment one
The invention provides the dynamic reactive method of adjustment containing distributed power source power distribution network, as it is shown in figure 1, described dynamic nothing
Merit method of adjustment, including:
Step one, division result based on installation distributed power source, build nothing in conjunction with distribution network system active power loss
Merit adjusts object function min (fd)；
Step 2, obtains the load data installing node in distribution network system, according to distributed power source in distribution network system
With the mount message of capacitor, load data is processed, determine distribution network system probability under the conditions of capacitorless puts into
Trend distribution situation；
Step 3, sets the control variable of idle adjustment, capacitor is put into number of times and actual switching frequency carries out whole
Number encoder, using the data after coding as chromosome, carries out initialization process to chromosome, obtains parent population；
Step 4, the individuality in parent population is calculated by the genetic algorithm retained based on band optimum, obtains filial generation kind
Whole individualities in progeny population are all carried out Probabilistic Load Flow analytical Calculation, obtain individuality each with progeny population corresponding by group
Fitness；
Step 5, if fitness corresponding to individuality each with progeny population meets end condition, then based on fitness
Determine idle adjustment object function min (fd) optimal solution.
In force, in order to the power distribution network comprising distributed power source being carried out dynamic idle adjustment, will in prior art
Distributed power source and capacitor divide to carry out single planning and configuration, and the scheme proposed in the present invention is then in each region
In the modeling that idle dynamic adjusts, the expected value of the active power loss obtained using probability load flow calculation method, as object function, is adopted
Solve with Revised genetic algorithum.
Optionally, described idle adjustment object function min (fd) expression formula be:
In formula, f (ploss) represent that probability based on the system active power loss obtained by Probabilistic Load Flow analytical Calculation divides
Cloth density function, t1、t2Represent that electrical power system dynamic reactive power adjusts initial time and the finish time of period respectively.
Optionally, load data is carried out by the described mount message according to distributed power source in distribution network system and capacitor
Process, determine distribution network system Probabilistic Load Flow distribution situation under the conditions of capacitorless puts into, including:
Obtain the load power data installing node；
The power installing the mounted distributed power source of node and capacitor is added to load power data, obtains more
Load power data after Xin；
According to update after load power data to distribution network system capacitorless put under the conditions of Probabilistic Load Flow enter
Row Distributed Calculation.
Optionally, described according to update after load power data to distribution network system capacitorless put under the conditions of
Probabilistic Load Flow carries out Distributed Calculation, including:
Determine the changing value Δ Q of the changing value Δ P of active power in distributed power source, reactive power, and distributed electrical
Phase angle change amount Δ θ in source, voltage variety Δ V combine formula one and build Jacobian matrix J,
Wherein, JPθFor phase angle change amount in Jacobian matrix J be θ, active power variable quantity be the element of P, JPVFor refined gram
It is the element of P than voltage variety Δ V, active power variable quantity in matrix J, JQθFor phase angle change amount in Jacobian matrix J it is
θ, reactive power variable quantity are the element of Q, JQVIt is Q's for voltage variety Δ V, reactive power variable quantity in Jacobian matrix J
Element.
In force, in vector calculus, Jacobian matrix is the matrix that first-order partial derivative is arranged in a certain way,
Its determinant is referred to as Jacobian.The importance of Jacobian matrix be it embody one can differential difference equation be given a little
Optimum linearity approaches.Therefore, Jacobian matrix is similar to the derivative of the function of many variables.
In fig. 2, will based on distributed power source and capacitor separately individually carry out obtained by after planning and configuration relevant excellent
It is relevant excellent to while proposition based on the present invention carry out distributed power source and capacitor after unified plan configuration to change result
Change result contrasted, based on the data in Fig. 2 understand, based on the present invention propose unified plan allocation models and solve calculation
Method carry out the unified plan configuration of distributed power source and capacitor after system synthesis income than being respectively increased 68.73%,
195.68% and 7.43%.
Additionally, above-mentioned optimum programming allocation plan also significantly improves the expected value of system node voltage magnitude.Relatively adopt
After individually planning distributed power source and unified plan distributed power source and two kinds of different schemes of capacitor, system node voltage amplitude
The change curve of the expected value of value understands, and after using the planning mode of individually planning distributed power source, is accessing distributed power source
Node at, its voltage expected value significantly improves, even above corresponding node electricity after unified plan distributed power source and capacitor
The expected value size of pressure amplitude value, but other node is the most relatively low.
The invention provides the dynamic reactive method of adjustment containing distributed power source power distribution network, including building idle adjustment target
Function, encodes the parameter in distribution network system, so combine genetic algorithm to coding after data carry out fitness meter
Calculate, thus obtain object function optimal solution in the case of individually planning distributed power source and capacitor, by each region
In the modeling that adjusts of idle dynamic in, the expected value of the active power loss obtained using probability load flow calculation method is as target letter
Number, uses Revised genetic algorithum to solve, it is possible to increase to install the voltage magnitude of node in power distribution network.
Each sequence number in above-described embodiment just to describe, do not represent each parts assemble or use during elder generation
Rear order.
The foregoing is only embodiments of the invention, not in order to limit the present invention, all in the spirit and principles in the present invention
Within, any modification, equivalent substitution and improvement etc. made, should be included within the scope of the present invention.
Claims (4)
1. the dynamic reactive method of adjustment containing distributed power source power distribution network, it is characterised in that described dynamic reactive method of adjustment, bag
Include:
Step one, division result based on installation distributed power source, build idle tune in conjunction with distribution network system active power loss
Whole object function min (fd)；
Step 2, obtains the load data installing node in distribution network system, according to distributed power source in distribution network system and electricity
Load data is processed by the mount message of container, determines distribution network system Probabilistic Load Flow under the conditions of capacitorless puts into
Distribution situation；
Step 3, sets the control variable of idle adjustment, capacitor is put into number of times and actual switching frequency carries out integer volume
Code, using the data after coding as chromosome, carries out initialization process to chromosome, obtains parent population；
Step 4, the individuality in parent population is calculated by the genetic algorithm retained based on band optimum, obtains progeny population, right
Whole individualities in progeny population all carry out Probabilistic Load Flow analytical Calculation, obtain the adaptation that individuality each with progeny population is corresponding
Degree；
Step 5, if fitness corresponding to individuality each with progeny population meets end condition, then determines based on fitness
Idle adjustment object function min (fd) optimal solution.
Dynamic reactive method of adjustment containing distributed power source power distribution network the most according to claim 1, it is characterised in that described
Idle adjustment object function min (fd) expression formula be:
In formula, f (ploss) represent probability distribution density based on the system active power loss obtained by Probabilistic Load Flow analytical Calculation
Function, t1、t2Represent that electrical power system dynamic reactive power adjusts initial time and the finish time of period respectively.
Dynamic reactive method of adjustment containing distributed power source power distribution network the most according to claim 1, it is characterised in that described
Load data is processed by the mount message according to distributed power source in distribution network system and capacitor, determines distribution network system
Probabilistic Load Flow distribution situation under the conditions of capacitorless puts into, including:
Obtain the load power data installing node；
The power installing the mounted distributed power source of node and capacitor is added to load power data, after being updated
Load power data；
According to the load power data after updating, distribution network system Probabilistic Load Flow under the conditions of capacitorless puts into is carried out point
Cloth calculates.
Dynamic reactive method of adjustment containing distributed power source power distribution network the most according to claim 1, it is characterised in that described
According to update after load power data to distribution network system capacitorless put under the conditions of Probabilistic Load Flow carry out distributed
Calculate, including:
Determine the changing value Δ Q of the changing value Δ P of active power in distributed power source, reactive power, and in distributed power source
Phase angle change amount Δ θ, voltage variety Δ V combine formula one and build Jacobian matrix J,
Wherein, JPθFor phase angle change amount in Jacobian matrix J be θ, active power variable quantity be the element of P, JPVFor Jacobi square
In battle array J, voltage variety Δ V, active power variable quantity are the element of P, JQθIt is θ, nothing for phase angle change amount in Jacobian matrix J
Merit power variation is the element of Q, JQVIt is the element of Q for voltage variety Δ V, reactive power variable quantity in Jacobian matrix J.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106849097A (en) * | 2017-04-13 | 2017-06-13 | 云南电网有限责任公司电力科学研究院 | A kind of active distribution network tidal current computing method |
| CN108808745A (en) * | 2018-06-20 | 2018-11-13 | 华侨大学 | A kind of dynamic reactive power optimization method of active distribution network |
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| CN103280821A (en) * | 2013-06-25 | 2013-09-04 | 国家电网公司 | Multi-period dynamic reactive power optimization method of intelligent power distribution system |
| US20140175887A1 (en) * | 2012-12-21 | 2014-06-26 | General Electric Company | System and method for voltage regulation of a renewable energy plant |
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| US20140175887A1 (en) * | 2012-12-21 | 2014-06-26 | General Electric Company | System and method for voltage regulation of a renewable energy plant |
| CN103280821A (en) * | 2013-06-25 | 2013-09-04 | 国家电网公司 | Multi-period dynamic reactive power optimization method of intelligent power distribution system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106849097A (en) * | 2017-04-13 | 2017-06-13 | 云南电网有限责任公司电力科学研究院 | A kind of active distribution network tidal current computing method |
| CN108808745A (en) * | 2018-06-20 | 2018-11-13 | 华侨大学 | A kind of dynamic reactive power optimization method of active distribution network |
| CN108808745B (en) * | 2018-06-20 | 2021-08-03 | 华侨大学 | Dynamic reactive power optimization method for active power distribution network |
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Effective date of registration: 20161221 Address after: 313000 Huzhou economic and Technological Development Zone, Zhejiang, Phoenix Road, No. 777, No. Applicant after: Huzhou Power Supply Company of State Grid Zhejiang Electric Power Company Applicant after: State Power Networks Co Applicant after: State net Zhejiang Deqing County electric company Applicant after: Zhejiang Univ. Address before: 313200 Zhejiang city of Huzhou province Deqing County ZTE Wukang Road No. 9 Applicant before: State net Zhejiang Deqing County electric company Applicant before: Zhejiang Univ. |
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Application publication date: 20161130 |