CN104699898B - Simulating method for electric power system based on compression and piecemeal frequency dependent network equivalence - Google Patents
Simulating method for electric power system based on compression and piecemeal frequency dependent network equivalence Download PDFInfo
- Publication number
- CN104699898B CN104699898B CN201510097332.0A CN201510097332A CN104699898B CN 104699898 B CN104699898 B CN 104699898B CN 201510097332 A CN201510097332 A CN 201510097332A CN 104699898 B CN104699898 B CN 104699898B
- Authority
- CN
- China
- Prior art keywords
- msub
- mrow
- msup
- sigma
- matrix
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000001419 dependent effect Effects 0.000 title claims abstract description 40
- 238000007906 compression Methods 0.000 title claims abstract description 12
- 230000006835 compression Effects 0.000 title claims abstract description 10
- 238000004088 simulation Methods 0.000 claims abstract description 18
- 239000011159 matrix material Substances 0.000 claims description 40
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract description 12
- 230000001052 transient effect Effects 0.000 abstract description 10
- 238000010586 diagram Methods 0.000 description 6
- 230000005611 electricity Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
Classifications
-
- 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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The present invention relates to a kind of simulating method for electric power system based on compression and piecemeal frequency dependent network equivalence, belong to dispatching automation of electric power systems and grid simulation technical field.This method by compressing the redundancy handled in the mathematical modeling for removing frequency dependent network equivalence, to reduce overall amount of calculation, recycles piecemeal to handle frequency dependent network equivalence, builds up some sub-blocks to realize parallel computation first.The inventive method can effectively solve the problem that frequency dependent network equivalence is applied to caused single frequency network of relation equivalence module amount of calculation problems of too during electromagnetic transient in power system emulation.The inventive method, electric system simulation speed, engineering practice good results can be dramatically speeded up.
Description
Technical field
The present invention relates to a kind of simulating method for electric power system based on compression and piecemeal frequency dependent network equivalence, belong to electricity
Force system dispatching automation and grid simulation technical field.
Background technology
Electric system simulation is one of important method for studying electrical power system transient characteristic.According to the dynamic process of investigation
Difference, electric system simulation can be divided into electromagnetic transient simulation, electromechanical transient simulation and long term dynamics emulation.Wherein electromagnetism is temporary
State simulation accuracy highest, it is mainly used in studying the transient process of power system network element Microsecond grade, such as thunder and lighting process, wave process
With direct-current commutation failure process etc..But high accuracy is using intensive as cost, because amount of calculation is too big, electro-magnetic transient is imitated
Really be not suitable for being directly used in the emulation of large-scale electrical power system.Generally for whole big system, retain and be concerned about that part (refers to wishing
Hope in detail understand transient process part) network element, other parts network element is represented with Equivalent Network, then carries out electricity
Magnetic emulates, and reaches the purpose for reducing amount of calculation.
Traditional Equivalent Network uses promise Equivalent Model to represent, as shown in Figure 1.Right side square frame is care subnetwork；
Left side square frame is using the Equivalent Network of promise Equivalent Model, i.e., with a promise equal currents IabcWith the equivalent section of a promise
Point admittance matrix YabcTo represent the Equivalent Network of other parts network element.
Bus admittance matrix in promise equivalent circuit is formed under fundamental frequency, therefore can only represent network element fundamental frequency
Characteristic.In order to relatively accurately represent the frequency characteristic of network element at respective frequencies, pull-in frequency network of relation equivalence
(FDNE, Frequency Dependent Network Equivalent) represents network of other parts network element etc.
Value.
Equivalent Network method based on FDNE, as shown in Figure 2.Right side square frame is care subnetwork；Left side square frame is base
In FDNE Equivalent Network, i.e., with a promise equal currents IabcIt is used as the Equivalent Network of other parts with a FDNE.
FDNE essence is a bus admittance matrix using frequency as function.N × N-dimensional FDNE mathematical modeling is：
Wherein, s=j2 π f, f are frequencies, and j is imaginary unit, similarly hereinafter；
Either element in FDNE is expressed as a frequency-domain function：
Wherein, limit { aiAnd residual { ciOr it is real number, and or respectively with complex conjugate to occurring, constant term d and once
Item h is real number, and n is limit number.
In engineering in use, typically taking first order h=0, and one group of common limit of FDNE each element
{ai, then N × N-dimensional FDNE matrix Y (s) can be expressed as：
Above formula is written as to the form of transmission function：
Y (s)=C (sE-A)-1B+D,
Wherein, E is unit matrix, and its dimension is identical with matrix A,
A=diag (A1 … Ak … An),
Ak=diag ((ak ak … ak)(1×N)),
B=diag (B1 … Bk … Bn),
Bk=diag ((1 1 ... 1)(1×N)),
C=[R1 … Rk … Rn],
Fig. 3 is the matrix in block form schematic diagram of FDNE mathematic(al) representations.(not including D)
Above-mentioned FDNE mathematical modeling may apply in electromagnetic transient in power system simulated program.In each of emulation
Time step, the amount of calculation O that a FDNE module needs is (being weighed with floating number multiplication number)
O=2nN2+N2+2nN。
Compared to other power system component modules, the amount of calculation of a FDNE module is very big, is briefly described as follows.
The limit number that n in above formula is FDNE, in engineer applied, to ensure simulation accuracy, usual value is 50~100；Above formula
In N be FDNE dimension because being triphase flow, thus N values be 3,6,9,12 etc..So in actual use, one
The amount of calculation of FDNE modules can reach 104The order of magnitude, and conventional power system component module amount of calculation is general all 103Quantity
Level is following.
Direct FDNE described above is applied in electromagnetic transient in power system emulation, and single FDNE modules can be caused to calculate
Measure excessive, influence overall simulation efficiency.And currently without the solution for this problem.
The content of the invention
The purpose of the present invention is to propose to a kind of electric system simulation side based on compression and piecemeal frequency dependent network equivalence
Method, first by compressing the redundancy in the mathematical modeling for removing frequency dependent network equivalence, to reduce overall amount of calculation, then profit
Frequency dependent network equivalence is built up into some sub-blocks to realize parallel computation with piecemeal.
Simulating method for electric power system proposed by the present invention based on frequency dependent network equivalence, comprises the following steps：
(1) the mathematical modeling Y (s) for the frequency dependent network equivalence of electric system simulation is：
Wherein, N is Y (s) dimension, and s=j2 π f, f are networks, and j is imaginary unit, { aiIt is limit, { ciIt is to stay
Number, d is constant term, and n is limit number；
(2) mathematical modeling of the frequency dependent network equivalence of above-mentioned steps (1) is compressed, detailed process is：
Above-mentioned Y (s) is rewritten as formula form by (2-1)：
Y (s)=C (sE-A)-1B+D,
Wherein, A=diag (A1 … Ak … An), Ak=diag ((ak ak … ak)(1×N)),
B=diag (B1 … Bk … Bn), Bk=diag ((1 1 ... 1)(1×N)),
C=[R1 … Rk … Rn],
E is unit matrix, and E dimension is identical with matrix A；
(2-2) solves above-mentioned C=[R1 … Rk … Rn] in each submatrix block order, process is：
To RkSingular value decomposition is carried out, makes Rk=U Σ VT,
Wherein, Σ=diag (σ1,σ2,…,σN),σ1≥σ2≥…≥σN>=0, σ1, σ2..., σNFor RkIt is N number of unusual
Value, U=(u1,u2,...,uN) and V=(v1,v2,...,vN)TRespectively RkThe unusual phasor in left and right,
A judgment threshold λ is set, matrix R is determined using judgment threshold λkOrder, i.e., be incremented by parameter r since 1, until
Following formula is set up：
Then trip current RkOrder be r；
(2-3) is to matrix RkIt is compressed, detailed process is：To matrix RkOrder r judged, if r meets following bar
Part,Then make the R in Matrix Ck, A in matrix AkWith the B in matrix BkBoil down to R' respectivelyk、A'kAnd B'k：
R'k=(u1,u2,...,ur),
A'k=diag ((ak ak … ak)(1×r)),
B'k=(v1,v2,...,vr)T；
If r meets following condition,The then R in Matrix Ck, A in matrix AkWith the B in matrix BkKeep not
Become；
All submatrix block R in (2-4) Ergodic Matrices Ck, repeat the above steps (2-2) and (2-3), realizes frequency phase
Close the compression of Equivalent Network mathematical modeling；
(3) piecemeal is carried out to the mathematical modeling of the frequency dependent network equivalence of above-mentioned steps (1), detailed process is：
The equivalent mathematical modeling Y (s) of said frequencies network of relation is divided into some as follows：
(4) by the frequency dependent network equivalence after above-mentioned steps (2) compress processing and the processing of above-mentioned steps (3) piecemeal
Mathematical modeling for electric system simulation calculate.
Simulating method for electric power system proposed by the present invention based on frequency dependent network equivalence, its advantage
It is that the inventive method can effectively solve the problem that frequency dependent network equivalence is applied to caused list during electromagnetic transient in power system emulation
Individual frequency dependent network equivalence module amount of calculation problems of too, the compression process in the inventive method, reduces frequency phase
The amount of calculation of Equivalent Network mathematical modeling is closed, piecemeal processing procedure therein, frequency dependent network equivalence mathematical modeling is divided into
Some pieces of progress parallel computations, so as to finally dramatically speed up electric system simulation speed, engineering practice good results.
Brief description of the drawings
Fig. 1 is the existing Equivalent Network method schematic diagram using promise Equivalent Model.
Fig. 2 is the existing Equivalent Network method schematic diagram based on frequency dependent network equivalence.
Fig. 3 is the schematic diagram for the frequency dependent network equivalence mathematical modeling being related in the inventive method.
Fig. 4 is the mathematical modeling schematic diagram of the frequency dependent network equivalence after the compression processing in the inventive method.
Fig. 5 is the piecemeal schematic diagram of frequency dependent network equivalence in the inventive method.
Embodiment
Simulating method for electric power system proposed by the present invention based on frequency dependent network equivalence, comprises the following steps：
(1) the mathematical modeling Y (s) for the frequency dependent network equivalence of electric system simulation is
Wherein, N is Y (s) dimension, and s=j2 π f, f are networks, and j is imaginary unit, { aiIt is limit, { ciIt is to stay
Number, d is constant term, and n is limit number；The limit of Y (s) all elements is identical, and residual is different with constant term.
(2) mathematical modeling of the frequency dependent network equivalence of above-mentioned steps (1) is compressed, detailed process is：
Above-mentioned Y (s) is rewritten as formula form by (2-1)：
Y (s)=C (sE-A)-1B+D,
Wherein, A=diag (A1 … Ak … An), Ak=diag ((ak ak … ak)(1×N)),
B=diag (B1 … Bk … Bn), Bk=diag ((1 1 ... 1)(1×N)),
C=[R1 … Rk … Rn],
E is unit matrix, and E dimension is identical with matrix A；As shown in Figure 3.
(2-2) solves above-mentioned C=[R1 … Rk … Rn] in each submatrix block order, process is：
To RkSingular value decomposition is carried out, makes Rk=U Σ VT,
Wherein, Σ=diag (σ1,σ2,…,σN),σ1≥σ2≥…≥σN>=0, σ1, σ2..., σNFor RkIt is N number of unusual
Value, U=(u1,u2,...,uN) and V=(v1,v2,...,vN)TRespectively RkThe unusual phasor in left and right,
A judgment threshold λ is set, threshold value λ is usually chosen to 0.9999, can be adjusted according to the required accuracy.Using sentencing
Disconnected threshold value λ determines matrix RkOrder, i.e., be incremented by parameter r since 1, until following formula is set up：
Then trip current RkOrder be r；
(2-3) is to matrix RkIt is compressed, detailed process is：To matrix RkOrder r judged, if r meets following bar
Part,Then make the R in Matrix Ck, A in matrix AkWith the B in matrix BkBoil down to R' respectivelyk、A'kAnd B'k：
R'k=(u1,u2,...,ur),
A'k=diag ((ak ak … ak)(1×r)),
B'k=(v1,v2,...,vr)T；
Frequency dependent network equivalence mathematical modeling after compression is as shown in figure 4, to RkCompression, it is possible to reduce amount of calculation is
OReduce=2N2+ 2N-4rN, and almost there is no loss of accuracy；
If r meets following condition,The then R in Matrix Ck, A in matrix AkWith the B in matrix BkKeep not
Become；
All submatrix block R in (2-4) Ergodic Matrices Ck, repeat the above steps (2-2) and (2-3), realizes frequency phase
Close the compression of Equivalent Network mathematical modeling；
(3) piecemeal is carried out to the mathematical modeling of the frequency dependent network equivalence of above-mentioned steps (1), detailed process is：
The equivalent mathematical modeling Y (s) of said frequencies network of relation is divided into some as follows：
Because the physical meaning of of frequency dependent network equivalence itself is admittance, the addition of admittance mathematically is equivalent to physics
On parallel connection, therefore according to above formula, frequency dependent network equivalence can be created as multiple parts in parallel, be illustrated in figure 5 this hair
Bright one embodiment, frequency dependent network equivalence be divide into two parts, the computationally intensive of each part is approximately originally
The half of frequency dependent network equivalence module, can be according to required determinant number of modules during practical application.
(4) by the frequency dependent network equivalence after above-mentioned steps (2) compress processing and the processing of above-mentioned steps (3) piecemeal
Mathematical modeling for electric system simulation calculate.
Claims (1)
1. a kind of simulating method for electric power system based on frequency dependent network equivalence, it is characterised in that this method includes following step
Suddenly：
(1) the mathematical modeling Y (s) for the frequency dependent network equivalence of electric system simulation is：
Wherein, N is Y (s) dimension, and s=j2 π f, f are networks, and j is imaginary unit, { aiIt is limit, { ciIt is residual, d
For constant term, n is limit number；
(2) mathematical modeling of the frequency dependent network equivalence of above-mentioned steps (1) is compressed, detailed process is：
Above-mentioned Y (s) is rewritten as formula form by (2-1)：
Y (s)=C (sE-A)-1B+D,
Wherein, A=diag (A1 … Ak … An), Ak=diag ((ak ak … ak)(1×N)),
B=diag (B1 … Bk … Bn), Bk=diag ((1 1 ... 1)(1×N)),
E is unit matrix, and E dimension is identical with matrix A；
(2-2) solves above-mentioned C=[R1 … Rk … Rn] in each submatrix block order, process is：
To RkSingular value decomposition is carried out, makes Rk=U Σ VT,
Wherein, ∑=diag (σ1,σ2,…,σN),σ1≥σ2≥…≥σN>=0, σ1, σ2..., σNFor RkN number of singular value, U=
(u1,u2,...,uN) and V=(v1,v2,...,vN)TRespectively RkLeft and right singular vector,
A judgment threshold λ is set, matrix R is determined using judgment threshold λkOrder, i.e., be incremented by parameter r since 1, until following formula
Set up：
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msup>
<msub>
<mi>&sigma;</mi>
<mn>1</mn>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<msub>
<mi>&sigma;</mi>
<mn>2</mn>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<mn>...</mn>
<mo>+</mo>
<msup>
<msub>
<mi>&sigma;</mi>
<mrow>
<mi>r</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mn>2</mn>
</msup>
</mrow>
<mrow>
<msup>
<msub>
<mi>&sigma;</mi>
<mn>1</mn>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<msub>
<mi>&sigma;</mi>
<mn>2</mn>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<mn>...</mn>
<mo>+</mo>
<msup>
<msub>
<mi>&sigma;</mi>
<mi>N</mi>
</msub>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<mrow>
<mn>1</mn>
<mo>/</mo>
<mn>2</mn>
</mrow>
</msup>
<mo><</mo>
<mi>&lambda;</mi>
<mo><</mo>
<msup>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msup>
<msub>
<mi>&sigma;</mi>
<mn>1</mn>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<msub>
<mi>&sigma;</mi>
<mn>2</mn>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<mn>...</mn>
<mo>+</mo>
<msup>
<msub>
<mi>&sigma;</mi>
<mi>r</mi>
</msub>
<mn>2</mn>
</msup>
</mrow>
<mrow>
<msup>
<msub>
<mi>&sigma;</mi>
<mn>1</mn>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<msub>
<mi>&sigma;</mi>
<mn>2</mn>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<mn>...</mn>
<mo>+</mo>
<msup>
<msub>
<mi>&sigma;</mi>
<mi>N</mi>
</msub>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<mrow>
<mn>1</mn>
<mo>/</mo>
<mn>2</mn>
</mrow>
</msup>
<mo>,</mo>
</mrow>
Then trip current RkOrder be r；
(2-3) is to matrix RkIt is compressed, detailed process is：To matrix RkOrder r judged, if r meets following condition,Then make the R in Matrix Ck, A in matrix AkWith the B in matrix BkBoil down to R' respectivelyk、A'kAnd B'k：
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>R</mi>
<mi>k</mi>
<mo>&prime;</mo>
</msubsup>
<mo>=</mo>
<mrow>
<mo>(</mo>
<msub>
<mi>u</mi>
<mn>1</mn>
</msub>
<mo>,</mo>
<msub>
<mi>u</mi>
<mn>2</mn>
</msub>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msub>
<mi>u</mi>
<mi>r</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>,</mo>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>A</mi>
<mi>k</mi>
<mo>&prime;</mo>
</msubsup>
<mo>=</mo>
<mi>d</mi>
<mi>i</mi>
<mi>a</mi>
<mi>g</mi>
<mrow>
<mo>(</mo>
<msub>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<msub>
<mi>a</mi>
<mi>k</mi>
</msub>
</mtd>
<mtd>
<msub>
<mi>a</mi>
<mi>k</mi>
</msub>
</mtd>
<mtd>
<mn>...</mn>
</mtd>
<mtd>
<msub>
<mi>a</mi>
<mi>k</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>&times;</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>,</mo>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>B</mi>
<mi>k</mi>
<mo>&prime;</mo>
</msubsup>
<mo>=</mo>
<msup>
<mrow>
<mo>(</mo>
<msub>
<mi>v</mi>
<mn>1</mn>
</msub>
<mo>,</mo>
<msub>
<mi>v</mi>
<mn>2</mn>
</msub>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<msub>
<mi>v</mi>
<mi>r</mi>
</msub>
<mo>)</mo>
</mrow>
<mi>T</mi>
</msup>
<mo>;</mo>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
If r meets following condition,The then R in Matrix Ck, A in matrix AkWith the B in matrix BkKeep constant；
All submatrix block R in (2-4) Ergodic Matrices Ck, repeat the above steps (2-2) and (2-3), realizes port with frequency-dependent network
The compression of equivalent mathematical modeling；
(3) piecemeal is carried out to the mathematical modeling of the frequency dependent network equivalence of above-mentioned steps (1), detailed process is：
The equivalent mathematical modeling Y (s) of said frequencies network of relation is divided into some as follows：
<mrow>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<mfrac>
<msub>
<mi>c</mi>
<mi>i</mi>
</msub>
<mrow>
<mi>s</mi>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>i</mi>
</msub>
</mrow>
</mfrac>
<mo>+</mo>
<mi>d</mi>
<mo>=</mo>
<mrow>
<mo>(</mo>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mrow>
<mi>m</mi>
<mn>1</mn>
</mrow>
</munderover>
<mfrac>
<msub>
<mi>c</mi>
<mi>i</mi>
</msub>
<mrow>
<mi>s</mi>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>i</mi>
</msub>
</mrow>
</mfrac>
<mo>+</mo>
<mi>d</mi>
<mo>)</mo>
</mrow>
<mo>+</mo>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mi>m</mi>
<mn>1</mn>
<mo>+</mo>
<mn>1</mn>
</mrow>
<mrow>
<mi>m</mi>
<mn>2</mn>
</mrow>
</munderover>
<mfrac>
<msub>
<mi>c</mi>
<mi>i</mi>
</msub>
<mrow>
<mi>s</mi>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>i</mi>
</msub>
</mrow>
</mfrac>
<mo>+</mo>
<mn>...</mn>
<mo>+</mo>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mi>m</mi>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<mfrac>
<msub>
<mi>c</mi>
<mi>i</mi>
</msub>
<mrow>
<mi>s</mi>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>i</mi>
</msub>
</mrow>
</mfrac>
<mo>,</mo>
</mrow>
(4) by the number of the frequency dependent network equivalence after above-mentioned steps (2) compress processing and the processing of above-mentioned steps (3) piecemeal
Model is learned to calculate for electric system simulation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510097332.0A CN104699898B (en) | 2015-03-05 | 2015-03-05 | Simulating method for electric power system based on compression and piecemeal frequency dependent network equivalence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510097332.0A CN104699898B (en) | 2015-03-05 | 2015-03-05 | Simulating method for electric power system based on compression and piecemeal frequency dependent network equivalence |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104699898A CN104699898A (en) | 2015-06-10 |
| CN104699898B true CN104699898B (en) | 2018-02-27 |
Family
ID=53347014
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510097332.0A Active CN104699898B (en) | 2015-03-05 | 2015-03-05 | Simulating method for electric power system based on compression and piecemeal frequency dependent network equivalence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104699898B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107436980B (en) * | 2017-07-27 | 2020-07-10 | 中国电力科学研究院 | Application method of network broadband equivalence in electromagnetic transient simulation |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102938022A (en) * | 2012-11-02 | 2013-02-20 | 南方电网科学研究院有限责任公司 | Perturbation method-based passivity correction method for frequency correlation network equivalence |
| CN103106328A (en) * | 2012-11-02 | 2013-05-15 | 南方电网科学研究院有限责任公司 | Frequency correlation network equivalence generation method based on integral vector fitting method |
-
2015
- 2015-03-05 CN CN201510097332.0A patent/CN104699898B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102938022A (en) * | 2012-11-02 | 2013-02-20 | 南方电网科学研究院有限责任公司 | Perturbation method-based passivity correction method for frequency correlation network equivalence |
| CN103106328A (en) * | 2012-11-02 | 2013-05-15 | 南方电网科学研究院有限责任公司 | Frequency correlation network equivalence generation method based on integral vector fitting method |
Non-Patent Citations (5)
| Title |
|---|
| A Robust Approach for System Identification in the Frequency Domain;Bjorn Gustavsen 等;《IEEE TRANSACTIONS ON POWER DELIVERY》;20040731;第19卷(第3期);第1167-1173页 * |
| Computer Code for Rational Approximation of Frequency Dependent Admittance Matrices;Bjorn Gustavsen;《IEEE TRANSACTIONS ON POWER DELIVERY》;20021031;第17卷(第4期);第1093-1098页 * |
| Development and Analysis of Applicability of a Hybrid Transient Simulation Platform Combining TSA and EMT Elements;Yi Zhang 等;《IEEE TRANSACTIONS ON POWER SYSTEMS》;20130228;第28卷(第1期);第357-366页 * |
| 电磁–机电暂态混合仿真中的频率相关网络等值;张怡 等;《中国电机工程学报》;20120505;第32卷(第13期);第61-68页 * |
| 采用频率相关网络等值的RTDS-TSA异构混合仿真平台开发;胡一中 等;《电力系统自动化》;20140825;第38卷(第16期);第88-93页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104699898A (en) | 2015-06-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102592003B (en) | Data exchange method for electromechanical and electromagnetic transient hybrid simulation | |
| CN103559347A (en) | Method for establishing electromagnetic transient simulation model of large-scale AC-DC (Alternating Current - Direct Current) power system | |
| CN102609598B (en) | Method for performing electromagnetic transient-state simulation to large power system | |
| CN101505061B (en) | Computation method capable of tracking Davinan equivalence parameter base on time domain simulation | |
| CN104866665A (en) | Hybrid simulation method including power electronic equipment based on interface equivalence and interaction | |
| CN103810646B (en) | Improved projection integral algorithm based active power distribution system dynamic simulation method | |
| Jalili-Marandi et al. | A real-time dynamic simulation tool for transmission and distribution power systems | |
| CN1321490C (en) | Digital dummy method of power system | |
| CN111797510A (en) | Method and system for calculating short circuit ratio of new energy station | |
| CN105243232B (en) | Field analysis is integrated into the electromagnetical transient emulation method and system of electric network solution | |
| CN115470736B (en) | Power system dynamic behavior modeling method adaptive to variable working condition operation of energy storage power station | |
| Mahmoudi et al. | Application of distributed control to mitigate disturbance propagations in large power networks | |
| CN103106328A (en) | Frequency correlation network equivalence generation method based on integral vector fitting method | |
| CN106169115A (en) | A kind of based on resolving the two regional power grid low-limit frequency algorithm for estimating that numerical value combines | |
| CN104699898B (en) | Simulating method for electric power system based on compression and piecemeal frequency dependent network equivalence | |
| CN204229391U (en) | Hybrid simulation interface and there is the electric system hybrid real-time simulation equipment of this interface | |
| CN107017666A (en) | Small-sized single-phase synchronous generator paired running system FEM model method for building up | |
| Ferrari et al. | Comparison of doubly-fed induction generator machine models for real-time simulations | |
| CN104730938A (en) | Battery characteristic simulation method and system | |
| CN107393384A (en) | A kind of generator excitation analogue system and method | |
| CN104865843B (en) | Method for uniformly processing hybrid simulation faults of power system | |
| Liang et al. | Comparisons of impact on the modeling detail on real time simulation of large power systems with HVDC | |
| CN113595070B (en) | Short circuit transfer impedance calculation method based on power flow calculation during normal operation of power grid | |
| Li et al. | Parallel power flow calculation based on multi-port inversed matrix method | |
| Ye et al. | Multi-scale modeling and simulation of synchronous machine in phase-domain |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |