CN101634670B - Zero impedance branch self-adaptive computing method used for transmission network state estimation - Google Patents
Zero impedance branch self-adaptive computing method used for transmission network state estimation Download PDFInfo
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- CN101634670B CN101634670B CN200910049671.6A CN200910049671A CN101634670B CN 101634670 B CN101634670 B CN 101634670B CN 200910049671 A CN200910049671 A CN 200910049671A CN 101634670 B CN101634670 B CN 101634670B
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- branch road
- zero
- zero branch
- looped network
- impedance
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Abstract
A zero impedance branch self-adaptive computing method used for transmission network state estimation relates to the technical field of transmission network steady-state analysis. The method solves the technical problem of low solving precision by using the current method. The method comprises the following steps: 1) searching the relationship between each subcircuit and each ring network and obtaining the relation set; 2) dividing the relation set in step 1 into zero branch set and non-zero branch set; 3) taking zero branch i, and obtaining each ring network set containing zero branch i; 4) acquiring a minimum branch impedance normalized value according to non-zero branch in each ring network set in step 3; 5) self-adaptively computing an impedance value of the zero branch according to the normalized value of the minimum branch impedance; 6) replacing the original impedance value of zero branch i with computing impedance value of zero branch i; 7) repeating step 3 to step 6 till all impedance values of zero branches are computed; 8) carrying out iterative computations on transmission network state estimation. The method provided in the invention can improve the estimation precision of the state estimation.
Description
Technical field
The present invention relates to the technology of power transmission network steady-state analysis, particularly relate to a kind of technology of the zero branch roadlock anti-adaptive computing method for power transmission network state estimation.
Background technology
Power transmission network state estimation (State Estimation, SE) be energy management system (Energy ManagementSystem, EMS) important component part, its function is on the basis of obtainable real-time measurement information, automatically get rid of the caused error message of random disturbance, calculate the state variable (i.e. the voltage magnitude of all buses and phase angle) of electric system.
The zero branch road of power transmission network state estimation refers to the branch road at the node branch road model middle impedance very little (< < 10E-6) of power transmission network state estimation.On zero branch road, even if occur that very large trend can not cause very large voltage drop yet; But in the solving equation of power transmission network state estimation, although the impedance on zero branch road is very little, still may cause the unusual of state equation, occur false solution, thereby affect the precision of equation solution.
When current power transmission network state estimation solving equation, the disposal route on zero branch road is had to two kinds: one is to merge zero branch circuit node, and the defect of this method is the Branch Power Flow that can not solve zero branch road; Another kind is that zero branch impedance is set to a little impedance, although this method can solve the Branch Power Flow on zero branch road, but for different network structures, zero branch impedance value the quantitative solution of neither one is set, improperly will have a strong impact on the estimated accuracy of power transmission network state estimation once arrange.
Summary of the invention
For the defect existing in above-mentioned prior art, technical matters to be solved by this invention is to provide one can completely solve whole power flow equation, and for different network structures, can self-adaptation calculate zero branch road resistance value, improve the solving precision of state estimation solving equation, thus the zero branch roadlock anti-adaptive computing method for power transmission network state estimation of the estimated accuracy that Guarantee Status is estimated.
In order to solve the problems of the technologies described above, a kind of zero branch roadlock anti-adaptive computing method for power transmission network state estimation provided by the present invention, is characterized in that, concrete steps are as follows:
1) according to network model, search for the relation of each branch road and each looped network, the pass that obtains branch road i and looped network n is G (1, i
n), the set of relationship of each branch road and each looped network is G (1, I
n);
Wherein, i is branch road sequence number, and n is looped network sequence number, and I is set of fingers, and N is looped network set, i ∈ I, n ∈ N;
2) by set of relationship G (1, the I of each branch road and each looped network
n) be divided into G
0(1, I
n) and G
1(1, I
n) two set;
Wherein, G
0(1, I
n) be the set of relationship of each zero branch road and each looped network, G
1(1, I
n) be the set of relationship of each non-zero branch road and each looped network, there is following relation in both:
G
0(1，I
N)∪G
1(1，I
N)＝G(1，I
N)；
G
0(1，I
N)＝G
1(1，I
N)；
3) get zero branch road i, traveled through the set of relationship G of each zero branch road and each looped network
0(1, I
n), obtain including each looped network set of zero branch road i;
4) all non-zero branch roads in each looped network set that taking-up step 3 obtains, and sort by the size of branch impedance per unit value, minimum leg impedance per unit value min (X obtained
b);
Wherein, X
bfor the branch impedance per unit value of non-zero branch road;
5) according to minimum leg impedance per unit value min (X
b), self-adaptation is calculated the resistance value of zero branch road i, and its computing function is:
F(x
i)＝0.01×min(X
b)/(Vreal/100)
2/(-lg(X
i))；
Wherein, X
ifor original resistance value in the i of zero branch road, Vreal is real-time voltage value, and its unit is kilovolt, F (x
i) be the computing impedance value of zero branch road i;
6) by original resistance value X in the i of zero branch road
ireplace with the computing impedance value F (x of zero branch road i
i);
7) repeating step 3 is to step 6, until resistance value has all been calculated on all zero branch road;
8) carry out power transmission network state estimation iterative computation.
Zero branch roadlock anti-adaptive computing method for power transmission network state estimation provided by the invention, adopt looped network and auto-adaptive function to calculate the resistance value on zero branch road, and original resistance value and real-time voltage value in zero branch road are also considered in the function of self-adaptation calculating zero branch road resistance value, therefore for different network structures, can self-adaptation calculate zero branch road resistance value, improve the solving precision of state estimation solving equation, thus the estimated accuracy that Guarantee Status is estimated; In addition, this method is set to a little impedance by zero branch impedance and processes zero branch road, therefore can completely solve whole power flow equation.
Brief description of the drawings
Fig. 1 is the calculation flow chart of the zero branch roadlock anti-adaptive computing method of the embodiment of the present invention.
Embodiment
Below in conjunction with brief description of the drawings, embodiments of the invention are described in further detail, but the present embodiment is not limited to the present invention, every employing analog structure of the present invention and similar variation thereof, all should list protection scope of the present invention in.
As shown in Figure 1, a kind of zero branch roadlock anti-adaptive computing method for power transmission network state estimation that the embodiment of the present invention provides, is characterized in that, concrete steps are as follows:
1) according to network model, search for the relation of each branch road and each looped network, the pass that obtains branch road i and looped network n is G (1, i
n), the set of relationship of each branch road and each looped network is G (1, I
n);
Wherein, i is branch road sequence number, and n is looped network sequence number, and I is set of fingers, and N is looped network set, i ∈ I, n ∈ N;
2) by set of relationship G (1, the I of each branch road and each looped network
n) be divided into G
0(1, I
n) and G
1(1, I
n) two set;
Wherein, G
0(1, I
n) be the set of relationship of each zero branch road and each looped network, G
1(1, I
n) be the set of relationship of each non-zero branch road and each looped network, there is following relation in both:
G
0(1，I
N)∪G
1(1，I
N)＝G(1，I
N)；
G
0(1，I
N)＝G
1(1，I
N)；
3) get zero branch road i, traveled through the set of relationship G of each zero branch road and each looped network
0(1, I
n), obtain including each looped network set of zero branch road i;
4) all non-zero branch roads in each looped network set that taking-up step 3 obtains, and sort by the size of branch impedance per unit value, minimum leg impedance per unit value min (X obtained
b);
Wherein, X
bfor the branch impedance per unit value of non-zero branch road;
5) according to minimum leg impedance per unit value min (X
b), self-adaptation is calculated the resistance value of zero branch road i, and its computing function is:
F(x
i)＝0.01×min(X
b)/(Vreal/100)
2/(-lg(X
i))；
Wherein, X
ifor original resistance value in the i of zero branch road, Vreal is real-time voltage value, and its unit is kilovolt, F (x
i) be the computing impedance value of zero branch road i;
6) by original resistance value X in the i of zero branch road
ireplace with the computing impedance value F (x of zero branch road i
i);
7) repeating step 3 is to step 6, until resistance value has all been calculated on all zero branch road;
8) carry out power transmission network state estimation iterative computation.
Claims (1)
1. for zero branch roadlock anti-adaptive computing method for power transmission network state estimation, it is characterized in that, concrete steps are as follows:
1) according to network model, search for the relation of each branch road and each looped network, the pass that obtains any branch road i and looped network n is G (1, i
n), the set of relationship of each branch road and each looped network is G (1, I
n);
Wherein, i is branch road sequence number, and n is looped network sequence number, and I is set of fingers, and N is looped network set, i ∈ I, n ∈ N;
2) by set of relationship G (1, the I of each branch road and each looped network
n) be divided into G
0(1, I
n) and G
1(1, I
n) two set;
Wherein, getting branch impedance is zero branch road much smaller than the branch road of 10E-6, and other are non-zero branch road; G
0(1, I
n) be the set of relationship of each zero branch road and each looped network, G
1(1, I
n) be the set of relationship of each non-zero branch road and each looped network, there is following relation in both:
G
0(1，I
N)∪G
1(1，I
N)＝G(1，I
N)；
3) get any zero branch road i, traveled through the set of relationship G of each zero branch road and each looped network
0(1, I
n), obtain including each looped network set of any zero branch road i, described looped network set of relationship G
0(1, I
n) formed by the looped network set on zero branch road, this looped network is made up of many zero branch roads and many non-zero branch roads;
4) all non-zero branch roads in each looped network set that taking-up step 3 obtains, and sort by the size of branch impedance per unit value, minimum leg impedance per unit value min (X obtained
b);
Wherein, X
bfor the branch impedance per unit value of non-zero branch road;
5) according to minimum leg impedance per unit value min (X
b), self-adaptation is calculated the resistance value of any zero branch road i, and its computing function is:
F(x
i)＝0.01×min(X
b)/(Vreal/100)
2/(-lg(X
i))；
Wherein, X
ifor original resistance value in any zero branch road i, Vreal is real-time voltage value, and its unit is kilovolt, F (x
i) be the computing impedance value of any zero branch road i;
6) by original resistance value X in any zero branch road i
ireplace with the computing impedance value F (x of any zero branch road i
i);
7) repeating step 3 is to step 6, until resistance value has all been calculated on all zero branch road;
8) carry out power transmission network state estimation iterative computation.
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| CN103439596B (en) * | 2013-08-05 | 2016-01-06 | 东北电网有限公司 | A kind of power transmission network safe operation steady-state behaviour detection method |
| CN104198816B (en) * | 2014-08-22 | 2017-04-12 | 天地（常州）自动化股份有限公司 | Coal mine power grid line impedance estimation system and working method thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1427520A (en) * | 2001-12-21 | 2003-07-02 | Abb研究有限公司 | Estimating of power transmission net state |
| CN1763782A (en) * | 2005-09-30 | 2006-04-26 | 清华大学 | Power system external network equivalent model automatic forming method |
| CN101118265A (en) * | 2007-09-17 | 2008-02-06 | 重庆大学 | Process for real time recognizing voltage stability of electrified wire netting trough recognizing weak links of electric network |
| CN101291061A (en) * | 2008-05-16 | 2008-10-22 | 南京南瑞继保电气有限公司 | Status estimating method for dynamic process of electrical power system |
-
2009
- 2009-04-21 CN CN200910049671.6A patent/CN101634670B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1427520A (en) * | 2001-12-21 | 2003-07-02 | Abb研究有限公司 | Estimating of power transmission net state |
| CN1763782A (en) * | 2005-09-30 | 2006-04-26 | 清华大学 | Power system external network equivalent model automatic forming method |
| CN101118265A (en) * | 2007-09-17 | 2008-02-06 | 重庆大学 | Process for real time recognizing voltage stability of electrified wire netting trough recognizing weak links of electric network |
| CN101291061A (en) * | 2008-05-16 | 2008-10-22 | 南京南瑞继保电气有限公司 | Status estimating method for dynamic process of electrical power system |
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Owner name: SHANGHAI SUNRISE PROTECTIVE RELAY ELECTRIC CO.,LTD Free format text: FORMER OWNER: SHANGHAI SUNRISE POWER AUTOMATION CO., LTD. Effective date: 20130314 |
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Effective date of registration: 20130314 Address after: 200233 Guiping Road, Xuhui District, No. 470, building 12, building 5, building Applicant after: Shanghai Sunrise Power Technology Co., Ltd. Address before: 200233 Shanghai City, Xuhui District Road No. 159 15 Tianzhou room unit 1301 Applicant before: Shanghai Sunrise Power Automation Co., Ltd. |
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