CN105071380A - Power system wide-area coherency identification method and device - Google Patents
Power system wide-area coherency identification method and device Download PDFInfo
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Abstract
The present invention discloses a power system wide-area coherency identification method and a device. The method comprises a step of carrying out standardization on a wide-area measurement time series of a generator rotor angle in a power system, a step of carrying out main component analysis on the standardized wide-area measurement time series, and determining the main component number of the wide-area measurement time series and corresponding characteristic vectors according to the cumulative contribution rate of main components, a step of realizing the coherency grouping of a power system set according to positive and negative numbers in a selected characteristic vector. The device comprises a standardizing module, a main component analysis module, an obtaining module and a dividing module. Through the above modules, the power system coherency grouping online identification based on wide-area measurement information is realized. According to the method and the device, the power system coherency grouping division is carried out based on the wide-area measurement information completely, and the influence of the model precision and parameter accuracy of the power system on a coherency grouping result is avoided.
Description
Technical field
The present invention relates to field of power, particularly relate to a kind of electrical power system wide-area people having the same aspiration and interest discrimination method and device thereof, particularly relate to the method utilizing the wide area measurement information of electric power system to carry out the identification of the electric power system people having the same aspiration and interest.
Background technology
Interregional Power System Interconnection scale constantly expands, and Large Copacity long distance power transmission constantly increases, and intermittence new forms of energy access on a large scale, and regional power grid is vibrated has become one of principal element threatening power network safety operation.For power oscillation between inhibition zone, improve the dynamic stability of whole interconnected systems, electric power system research and operations staff propose many kinds of measures to improve the damping characteristic of electric power system, such as: install power system stabilizer, PSS, DC power modulation, change power system operating mode etc. additional, and in case of emergency, the electrical network large-scale blackout brought out to prevent long-time inter-area oscillation by Active Splitting.And in Active Splitting process, fast search and determine that the Coherent Generator Group of electric power system is that it is crucial.
At present, identify that the method for Coherent Generator Group is mainly divided into two classes: the Coherent Generator Group recognition methods based on electric power system model and the Coherent Generator Group recognition methods based on electrical power system wide-area measurement information.Wherein, the Coherent Generator Group recognition methods based on electric power system model has again following method: 1. based on figure segmentation, be applied to by slow homology theory in electric power system coherence grouping; 2. the Coherent Generator Group in electric power system is determined by the direction cosines in the right eigenvectors matrix of the calculating electric power system differential equation corresponding to generator amature angle between row vector; 3. construct the weighting Laplacian Matrix of dynamic power network, realize the coherence grouping of electric power system by complex network community structural theory; 4. by electric power system in non-equilibrium some place's linearisation, the characteristic value according to electric power system movement locus carries out coherence grouping.The above-mentioned Coherent Generator Group recognition methods based on electric power system model all depends on detailed model and the accurate parameter of electric power system, is difficult to consider that power system operation mode change and fault type are on the impact of coherence grouping.Thus, based on the coherence grouping method of electric power system model, Power System Off-line security and stability analysis is used for.
The extensive use of wide area measurement system in electric power system, for electric power system canbe used on line coherence grouping provides possibility.Current, the Coherent Generator Group recognition methods based on electrical power system wide-area measurement information mainly contains: the on-line identification 1. realizing electric power system Coherent Generator Group based on least square method supporting vector machine; 2. based on isolated component method, coherence grouping is carried out to the unit in electric power system; 3. based on the principal component of wide area measured signal, clustering method is adopted to carry out coherence grouping to generators in power systems; 4. the Coherent Generator Group in Identification of Power System is carried out by Wavelet Phase difference; 5. by carrying out to wide area measured signal the coherence grouping that Ku Puman Mode Decomposition realizes electric power system; 6. on method basis 5., by carrying out the Coherent Generator Group that the decoupling zero of dynamic oscillation pattern identifies electric power system to wide area real measured data.
Employing said method all can realize the electric power system Coherent Generator Group accurate recognition based on wide area measurement information, but said method all can face the process to mass data in identification process, how to excavate its key message, improving recognition efficiency is utilize wide area measurement information to carry out problem that solution is needed in the identification of the electric power system people having the same aspiration and interest badly.
Summary of the invention
The invention provides a kind of electrical power system wide-area people having the same aspiration and interest discrimination method and device thereof, electrical power system wide-area measurement information combines with the principal component analytical method in multivariate statistics by the present invention, achieve the electric power system Coherent Generator Group on-line identification based on wide area measurement information, refer to recognition efficiency, described below:
A kind of electrical power system wide-area people having the same aspiration and interest discrimination method, said method comprising the steps of:
Standardization is carried out to the wide area measurement time series of generators in power systems rotor angle;
Principal component analysis is carried out to the wide area measurement time series after standardization, according to the contribution rate of accumulative total of principal component, determines wide area measurement seasonal effect in time series principal component number and characteristic of correspondence vector;
The coherence grouping of electric power system unit is realized according to positive and negative number of element in selected characteristic vector.
The described wide area measurement time series to generators in power systems rotor angle is carried out standardized step and is specially:
Section at one time, under the condition of same measurement length, obtains wide area measurement seasonal effect in time series variance and average;
By described variance and described average, to the standardization of wide area measurement time series.
Described the step that wide area measurement time series after standardization carries out principal component analysis to be specially:
By principal component analysis, obtain the wide area measurement seasonal effect in time series characteristic value after standardization and characteristic vector.
The described contribution rate of accumulative total according to principal component, determine that the step of wide area measurement seasonal effect in time series principal component number and characteristic of correspondence vector is specially:
According to described characteristic value, obtain the contribution rate of each principal component and the contribution rate of accumulative total of a front k principal component;
After contribution rate of accumulative total reaches threshold value, determine that wide area measurement seasonal effect in time series principal component number is k, and retain the characteristic vector corresponding to this k principal component.
The described positive and negative number step realizing the coherence grouping of electric power system unit according to selected characteristic vector element is specially:
The identical generator of positive and negative number of element in selected characteristic vector combination is divided into one group of Coherent Generator Group, and then Coherent Generator Group is organized in acquisition more, realizes the electric power system people having the same aspiration and interest identification based on wide area measurement information.
A kind of electrical power system wide-area people having the same aspiration and interest device for identifying, described device comprises:
Standardized module, for carrying out standardization to the wide area measurement time series of generators in power systems rotor angle;
Principal component analysis module, for carrying out principal component analysis to the wide area measurement time series after standardization;
Acquisition module, for the contribution rate of accumulative total according to principal component, determines wide area measurement seasonal effect in time series principal component number and characteristic of correspondence vector;
Divide module, for realizing the coherence grouping of electric power system unit according to positive and negative number of element in selected characteristic vector.
Wherein, described standardized module comprises:
Variance and average module, for section at one time, under the condition of same measurement length, obtain wide area measurement seasonal effect in time series variance and average;
Normalizer module, for by described variance and described average, to the standardization of wide area measurement time series.
Wherein, described principal component analysis module comprises:
Principal component analysis submodule, for by principal component analysis, obtains the wide area measurement seasonal effect in time series characteristic value after standardization and characteristic vector.
Further, described acquisition module comprises:
First obtains submodule, for according to described characteristic value, obtains the contribution rate of each principal component and the contribution rate of accumulative total of a front k principal component;
Second obtains submodule, for after contribution rate of accumulative total reaches threshold value, determines that wide area measurement seasonal effect in time series principal component number is k, and retains the characteristic vector corresponding to this k principal component.
Further, described division module comprises:
First divides submodule, for the identical generator of positive and negative number of element in selected characteristic vector combination is divided into one group of Coherent Generator Group;
Second divides submodule, organizing Coherent Generator Group more, realizing the electric power system people having the same aspiration and interest identification based on wide area measurement information for obtaining.
The beneficial effect of technical scheme provided by the invention is: the present invention is by calculating the contribution rate of accumulative total of principal component, determine wide area measurement seasonal effect in time series principal component number and characteristic of correspondence value vector, order is just extracting each generator element corresponding in each keeping characteristics vector, negative sign, will just, the on all four generator of negative sign order permutation and combination is divided into one group of Coherent Generator Group, thus obtain organizing Coherent Generator Group more, the present invention carries out the division of electric power system Coherent Generator Group based on wide area measurement information completely, avoid the model accuracy of electric power system and parameter accuracy to the impact of coherence grouping result, achieve the electric power system Coherent Generator Group on-line identification based on wide area measurement information, reduce computation complexity, refer to recognition efficiency.
Accompanying drawing explanation
Fig. 1 is a kind of flow chart of electrical power system wide-area people having the same aspiration and interest discrimination method;
Fig. 2 is a kind of schematic diagram of electrical power system wide-area people having the same aspiration and interest device for identifying;
Fig. 3 is the schematic diagram of standardized module;
Fig. 4 is the schematic diagram of principal component analysis module;
Fig. 5 is the schematic diagram of acquisition module;
Fig. 6 is the schematic diagram dividing module;
Fig. 7 is the schematic diagram of typical 4 machine 11 bus test system;
Fig. 8 is the schematic diagram of rotor angle swing curve.
In accompanying drawing, the list of parts representated by each label is as follows:
1: standardized module; 2: principal component analysis module;
3: acquisition module; 4: divide module;
11: variance and average submodule; 12: normalizer module;
21: principal component analysis submodule; Obtain submodule at 31: the first;
Obtain submodule at 32: the second; Divide submodule at 41: the first;
Divide submodule at 42: the second.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below embodiment of the present invention is described further in detail.
The present invention is according to improving the needs of power system safety and stability on-line monitoring, improving the demand of electrical network defence large-scale blackout risk, electrical power system wide-area measurement information is combined with the principal component analytical method in multivariate statistics, propose a kind of technological frame utilizing electrical power system wide-area measurement information on-line identification system Coherent Generator Group, below in conjunction with specific embodiment, this method be described in detail:
Embodiment 1
A kind of electrical power system wide-area people having the same aspiration and interest discrimination method, see Fig. 1, the method comprises the following steps:
101: standardization is carried out to the wide area measurement time series of generators in power systems rotor angle;
102: principal component analysis is carried out to the wide area measurement time series after standardization, according to the contribution rate of accumulative total of principal component, determine wide area measurement seasonal effect in time series principal component number and characteristic of correspondence vector;
103: the coherence grouping realizing electric power system unit according to positive and negative number of selected characteristic vector element.
Wherein, step 101 is specially: section at one time, under the condition of same measurement length, obtains wide area measurement seasonal effect in time series variance and average; By variance and described average, to the standardization of wide area measurement time series.
Wherein, step 102 is specially: by principal component analysis, obtains the wide area measurement seasonal effect in time series characteristic value after standardization and characteristic vector; According to characteristic value, obtain the contribution rate of each principal component and the contribution rate of accumulative total of a front k principal component; After contribution rate of accumulative total reaches threshold value, determine that wide area measurement seasonal effect in time series principal component number is k, and retain the characteristic vector corresponding to this k principal component.
This step 103 is specially: order extracts positive and negative number of each generator element corresponding in each keeping characteristics vector; The positive and negative number on all four generator of order permutation and combination is divided into one group of Coherent Generator Group, thus obtains organizing Coherent Generator Group more, realize the electric power system Coherent Generator Group identification based on wide area measurement information.
This method achieves the electric power system Coherent Generator Group on-line identification based on wide area measurement information by step 101-step 103, improves recognition efficiency, meets the multiple needs in practical application.
Embodiment 2
Below in conjunction with concrete computing formula, the scheme in embodiment 1 is described in detail:
201: the wide area measurement time series reading generator amature angle from electrical network wide area measurement system, by the standardization of wide area measurement time series;
Suppose that generators in power systems quantity is p, generator amature angle measurements information obtains by wide area measurement system, then the wide area measurement time series X of generators in power systems is:
In formula, n is the length of wide area measurement sequence; x
iit is the rotor angle measurement time series of i-th generator; x
ijit is the rotor angle measurement information of the jth time of i-th generator.
Press section at one time, under the condition of same measurement length, the mean vector of wide area measurement time series X in calculating formula (1)
and variance var (X):
In formula, convolution (2),
it is the wide area measurement seasonal effect in time series average of i-th generator; Var (x
i) be the wide area measurement seasonal effect in time series variance of i-th generator; x
kifor the rotor angle measurement information of i-th time of a kth generator; Carry out standardization to the time series X of formula (1) to obtain:
In formula, X
*for the wide area measurement time series after standardization.
202: principal component analysis is carried out to the wide area measurement time series after standardization;
Wherein, this step 202 is specially: solve the covariance matrix Σ of X*, the eigenvalue λ of covariance matrix Σ
1, λ
2..., λ
p, and corresponding unit orthogonalized eigenvectors A (1), A (2) ..., A (p).Concrete solution procedure is conventionally known to one of skill in the art, and the embodiment of the present invention does not repeat this.
203: according to principal component analysis result, calculate the contribution rate of accumulative total of principal component;
That is, according to the eigenvalue λ of covariance matrix Σ
1, λ
2..., λ
pthe contribution rate of accumulative total of k principal component before calculating by formula (4)
204: according to contribution rate of accumulative total, determine the number of principal component, and then determine retained characteristic vector number;
Such as: setting contribution rate of accumulative total threshold value be 80%, if
and
then the principal component number of wide area measurement time series X is k, can think that the generator that the generator that a front k principal component can reflect can reflect with adjusting information and wide area measurement time series X is basically identical with adjusting information, and then k eigenvalue λ before retaining
1, λ
2..., λ
kcorresponding unit orthogonalized eigenvectors A (1), A (2) ..., A (k).
Wherein, the threshold value of contribution rate of accumulative total sets according to the needs in practical application, and the embodiment of the present invention does not limit this.
205: the coherence grouping realizing electric power system unit according to positive and negative number of selected characteristic vector element.
That is, extract p platform generator front k unit orthogonalized eigenvectors A (1), A (2) ..., positive and negative number of the middle corresponding element of A (k), form following sign matrix SGN:
In formula, i-th row of SGN (i) representing matrix SGN, corresponding to i-th generator; Sign (.) is symbolic operation, and sign (A (i, j)) represents positive and negative number that gets elements A (i, j); Elements A (i, j) is expressed as a jth element of i-th unit orthogonalized eigenvectors A (i).
Row each in sign matrix SGN positive and negative number identical generator is divided into one group, be regarded as one group of Coherent Generator Group, and then according to the various combination of positive and negative number of each row, mark off and organize Coherent Generator Group more, realize the electric power system Coherent Generator Group on-line identification based on wide area measurement information.
The embodiment of the present invention achieves the electric power system Coherent Generator Group on-line identification based on wide area measurement information by step 201-step 205, meets the multiple needs in practical application.
Embodiment 3
A kind of electrical power system wide-area people having the same aspiration and interest device for identifying, see Fig. 2, device comprises:
Standardized module 1, for carrying out standardization to the wide area measurement time series of generators in power systems rotor angle;
Principal component analysis module 2, for carrying out principal component analysis to the wide area measurement time series after standardization;
Acquisition module 3, for the contribution rate of accumulative total according to principal component, determines wide area measurement seasonal effect in time series principal component number and characteristic of correspondence vector;
Divide module 4, for realizing the coherence grouping of electric power system unit according to positive and negative number of element in selected characteristic vector.
Wherein, see Fig. 3, standardized module 1 comprises:
Variance and average submodule 11, for section at one time, under the condition of same measurement length, obtain wide area measurement seasonal effect in time series variance and average;
Normalizer module 12, for by described variance and described average, to the standardization of wide area measurement time series.
Wherein, see Fig. 4, principal component analysis module 2 comprises:
Principal component analysis submodule 21, for by principal component analysis, obtains the wide area measurement seasonal effect in time series characteristic value after standardization and characteristic vector.
Wherein, see Fig. 5, acquisition module 3 comprises:
First obtains submodule 31, for according to characteristic value, obtains the contribution rate of each principal component and the contribution rate of accumulative total of a front k principal component;
Second obtains submodule 32, for after contribution rate of accumulative total reaches threshold value, determines that wide area measurement seasonal effect in time series principal component number is k, and retains the characteristic vector corresponding to this k principal component.
Wherein, see Fig. 6, divide module 4 and comprise:
First divides submodule 41, for the identical generator of positive and negative number of element in selected characteristic vector combination is divided into one group of Coherent Generator Group;
Second divides submodule 42, organizing Coherent Generator Group more, realizing the electric power system people having the same aspiration and interest identification based on wide area measurement information for obtaining.
This device achieves the electric power system people having the same aspiration and interest identification based on wide area measurement information by above-mentioned standardized module 1, principal component analysis module 2, acquisition module 3 and division module 4, meets the needs in practical application.
Above-mentioned module in the embodiment of the present invention, submodule can adopt the realization such as single-chip microcomputer, PC, and during specific implementation, the embodiment of the present invention does not limit above-mentioned module, main body device that submodule is corresponding.
Embodiment 4
Implementation method of the present invention and actual effect is introduced below in conjunction with an example.This example is tested on typical 4 machine 11 bus test system, and its network topology schematic diagram as shown in Figure 7.This test macro comprises 11 nodes (1,2 ..., 11), 4 generating sets (G1, G2, G3, G4), 2 load buses (L7, L9).This example, by this method and simulation curve being contrasted, verifies high efficiency and the accuracy of this method.
With generator G3 for reference machine, the arbitrary branch road between bus 8,9 arranges three-phase permanent fault, trouble duration 0.1s, and faulty line excision after 0.1s, simulation time is 20s, and generator amature angle swing curve as shown in Figure 8.Be not difficult to find out to there are two groups of Coherent Generator Groups in test macro by Fig. 8, wherein G1 and G2 is one group, and G4 is one group.Adopt the generator amature angle information shown in Fig. 8 as the input signal X of people having the same aspiration and interest discrimination method in the present invention.Remaining operating procedure is see embodiment 1 and 2, and the embodiment of the present invention does not repeat this.
Can the characteristic value of calculation test system, characteristic vector and contribution rate of accumulative total index according to above step, as shown in table 1.
The principal component result of calculation of table 1 people having the same aspiration and interest identification
Contribution rate of accumulative total as can be seen from Table 1
can think that the principal component number of generator amature angle wide area measurement time series X is 1 in Fig. 8, corresponding generator can be reflected by first principal component with adjusting information, and then retains first eigenvalue λ
1corresponding unit orthogonalized eigenvectors A (1).
First eigenvalue λ as shown in Table 1
1corresponding unit orthogonalized eigenvectors A (1) is [0.7300,0.6823,-0.0393], visible generator G1 and G2 value on A (1) direction is just, G4 is negative, shows G1 and the G2 people having the same aspiration and interest and contrary with G4, and the same adjusting information therefore reflected at first principal component is: generator G1 and G2 one group, independent one group of G4, this conclusion and Fig. 8 completely the same.
Similar, the same adjusting information of Second principal component, reflection can be furtherd investigate further, second eigenvalue λ in table 1
2corresponding unit orthogonalized eigenvectors A (2) is [-0.1863,0.2540,-0.9491], visible generator G1 and G4 is negative in the upper value of A (2), G2 is just, shows G1 and the G4 people having the same aspiration and interest and contrary with G2, and the same adjusting information that therefore Second principal component, reflects is: generator G1 and G4 one group, independent one group of G2, the Local homology module formula of what this principal component reflected is test macro.
The above-mentioned coherence grouping method based on principal component analysis may be interpreted as: after the arbitrary branch road three-phase permanent fault between bus 8 and 9, oscillation mode between territory, principal excitation zone, now G1 and the G2 people having the same aspiration and interest, the G4 people having the same aspiration and interest, and this is the main people having the same aspiration and interest pattern of test macro; In addition, this fault also brings out the local oscillation of test macro, the relative motion namely between G1, G2, and the present invention can carry out the accurately characteristic vector of reflection corresponding to the Second Eigenvalue in table 1 to it equally.But due to the main oscillations pattern that the vibration between G1 and G2 is not test macro, thus in fig. 8, the rotor vacillation curve of G1 and G2 is same trend motion.
Therefore can reach a conclusion, this method has higher precision and computational efficiency with traditional people having the same aspiration and interest discrimination method relatively.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, the invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. an electrical power system wide-area people having the same aspiration and interest discrimination method, is characterized in that, said method comprising the steps of:
Standardization is carried out to the wide area measurement time series of generators in power systems rotor angle;
Principal component analysis is carried out to the wide area measurement time series after standardization, according to the contribution rate of accumulative total of principal component, determines wide area measurement seasonal effect in time series principal component number and characteristic of correspondence vector;
The coherence grouping of electric power system unit is realized according to positive and negative number of element in selected characteristic vector.
2. a kind of electrical power system wide-area people having the same aspiration and interest discrimination method according to claim 1, is characterized in that, the described wide area measurement time series to generators in power systems rotor angle is carried out standardized step and is specially:
Section at one time, under the condition of same measurement length, obtains wide area measurement seasonal effect in time series variance and average;
By described variance and described average, to the standardization of wide area measurement time series.
3. a kind of electrical power system wide-area people having the same aspiration and interest discrimination method according to claim 1, is characterized in that, is describedly specially the step that the wide area measurement time series after standardization carries out principal component analysis:
By principal component analysis, obtain the wide area measurement seasonal effect in time series characteristic value after standardization and characteristic vector.
4. a kind of electrical power system wide-area people having the same aspiration and interest discrimination method according to claim 3, is characterized in that, the described contribution rate of accumulative total according to principal component, determines that the step of wide area measurement seasonal effect in time series principal component number and characteristic of correspondence vector is specially:
According to described characteristic value, obtain the contribution rate of each principal component and the contribution rate of accumulative total of a front k principal component;
After contribution rate of accumulative total reaches threshold value, determine that wide area measurement seasonal effect in time series principal component number is k, and retain the characteristic vector corresponding to this k principal component.
5. a kind of electrical power system wide-area people having the same aspiration and interest discrimination method according to claim 1, is characterized in that, the described positive and negative number step realizing the coherence grouping of electric power system unit according to selected characteristic vector element is specially:
The identical generator of positive and negative number of element in selected characteristic vector combination is divided into one group of Coherent Generator Group, and then Coherent Generator Group is organized in acquisition more, realizes the electric power system people having the same aspiration and interest identification based on wide area measurement information.
6. an electrical power system wide-area people having the same aspiration and interest device for identifying, is characterized in that, described device comprises:
Standardized module, for carrying out standardization to the wide area measurement time series of generators in power systems rotor angle;
Principal component analysis module, for carrying out principal component analysis to the wide area measurement time series after standardization;
Acquisition module, for the contribution rate of accumulative total according to principal component, determines wide area measurement seasonal effect in time series principal component number and characteristic of correspondence vector;
Divide module, for realizing the coherence grouping of electric power system unit according to positive and negative number of element in selected characteristic vector.
7. a kind of electrical power system wide-area people having the same aspiration and interest device for identifying according to claim 6, it is characterized in that, described standardized module comprises:
Variance and average submodule, for section at one time, under the condition of same measurement length, obtain wide area measurement seasonal effect in time series variance and average;
Normalizer module, for by described variance and described average, to the standardization of wide area measurement time series.
8. a kind of electrical power system wide-area people having the same aspiration and interest device for identifying according to claim 6, it is characterized in that, described principal component analysis module comprises:
Principal component analysis submodule, for by principal component analysis, obtains the wide area measurement seasonal effect in time series characteristic value after standardization and characteristic vector.
9. a kind of electrical power system wide-area people having the same aspiration and interest device for identifying according to claim 8, it is characterized in that, described acquisition module comprises:
First obtains submodule, for according to described characteristic value, obtains the contribution rate of each principal component and the contribution rate of accumulative total of a front k principal component;
Second obtains submodule, for after contribution rate of accumulative total reaches threshold value, determines that wide area measurement seasonal effect in time series principal component number is k, and retains the characteristic vector corresponding to this k principal component.
10. a kind of electrical power system wide-area people having the same aspiration and interest device for identifying according to claim 6, it is characterized in that, described division module comprises:
First divides submodule, for the identical generator of positive and negative number of element in selected characteristic vector combination is divided into one group of Coherent Generator Group;
Second divides submodule, organizing Coherent Generator Group more, realizing the electric power system people having the same aspiration and interest identification based on wide area measurement information for obtaining.
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| PCT/CN2015/088385 WO2017016019A1 (en) | 2015-07-28 | 2015-08-28 | Homological recognition method and device for a wide area of a power system |
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| 姜涛: "基于投影寻踪最佳方向的同调机群识别方法", 《中国电机工程学报》 * |
| 安军: "基于主成分分析法的电力***同调机群识别", 《电网技术》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107749621A (en) * | 2017-10-25 | 2018-03-02 | 东北电力大学 | A kind of power system dynamic stability cooperative identification method |
| CN107749621B (en) * | 2017-10-25 | 2020-08-11 | 东北电力大学 | Dynamic stability collaborative identification method for power system |
| CN109510245A (en) * | 2019-01-03 | 2019-03-22 | 东北电力大学 | A kind of electric system Coherent Generator Group discrimination method based on figure segmentation |
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| WO2017016019A1 (en) | 2017-02-02 |
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