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An Online Prony Analysis Method Based on Dual Parallel Computing
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A technology of parallel computing and analysis methods, applied in computing, instruments, electrical digital data processing, etc., can solve the problems that the computing speed cannot meet the online analysis, and achieve the effect of improving resource utilization and computing efficiency
Active Publication Date: 2017-08-11
STATE GRID CORP OF CHINA +1
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Problems solved by technology
Since the calculation of the energy flow direction factor requires simultaneous Prony parameter identification and calculation of the active power and frequency components of multiple oscillation branches in the power grid, the current method is mainly based on the serial Prony calculation method. With the expansion of the grid scale, the traditional serial Prony calculation method is adopted. The calculation speed of the calculation method cannot meet the requirements of online analysis, and parallel calculation is required
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Embodiment 1
[0104] An online Prony analysis method based on dual parallel computing. The method includes the following steps:
[0105] (a) In an AC interconnected power grid composed of I branches and J nodes, each branch and all nodes are equipped with a synchronous measurement unit PMU; the structure of the computing platform is as follows figure 1 As shown, a cluster composed of a client, a management node, and C computing nodes, where C i Represents the i-th computing node, P i Is C i The number of cores, C ij Means C i The j-th core in, i=1, 2,..., C, j=1, 2, 3,..., P i ;
[0106] (b) When low-frequency oscillation occurs in the power grid, the E electrical quantities of the M branches collected by the PMU include: active power ΔP, frequency Δω, take the same time period sampling data as a group and send it to the computing platform for Prony analysis, then The number of tasks to be analyzed is N=EM, M=1, 2,..., I; each type of electrical quantity contains Len sampling data, 500≤Len≤3000;...
Embodiment 2
[0138] (1) The wide-area measurement system uses Prony analysis method for parameter identification on the active power and frequency data of 50 tie lines, which is equivalent to 100 Prony calculation tasks.
[0139] (2) There are 1 management node and 2 8-core computing nodes C 1 , C 2 In the formed cluster, when the management node receives the client's task N=100, it performs Prony parallel calculation.
[0140] (3) The management node arbitrarily selects a task from N tasks, and sends this task to C at the same time 1 And C 2 Calculate on the computer and record the execution time of each node for the task. C in this example 1 The execution time is T 1 =0.037s, C 2 Execution time is T 2 =0.035s. According to T 1 / (T 1 +T 2 ) And T 2 / (T 1 +T 2 ) Will N 1 = 51 tasks sent to C 1 On calculation, N 2 = 49 tasks sent to C 2 上算。 On calculation. By C 1 And C 2 Respectively perform single-machine multi-threaded parallel computing.
[0141] (4)C 1 The number of tasks received is N 1 , C...
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Abstract
The invention discloses an online Prony analysis method based on dual parallel computing, and relates to the fields of power system scheduling automation and computer high-performance computing. Aiming at the disadvantages of low resource utilization and slow calculation speed of the traditional serial Prony algorithm used in the identification of oscillation parameters in the case of low-frequency oscillations in large power grids, this method proposes distributed parallelism of multiple computing nodes to effectively perform task scheduling and load balancing , greatly reducing the response time of the system. For the first time, the parallel design on the Prony mathematical model is realized, and the multi-thread parallel computing of Prony is realized by using the multi-thread parallel computing technology. The invention can synchronously realize the online identification of parameters such as oscillation amplitude, frequency, initial phase and attenuation factor of multi-branches and multiple electrical quantities in the power grid, effectively improves the calculation and analysis speed, and can better adapt to the synchronous online calculation of large power grids requirements.
Description
Technical field [0001] The present invention relates to the field of power system dispatching automation and computer high-performance computing, and more specifically provides an online Prony analysis method based on dual parallel computing. During the process of low-frequency oscillation of the power grid, it can realize multi-branch and multiple electrical quantities of the power grid. Synchronous online parameter identification. Background technique [0002] In the power system, the relative swing between the rotors of the motor will occur under the disturbance and cause continuous oscillation in the absence of damping. The oscillation frequency ranges from 0.1 to 2.5 Hz, so it is called low frequency oscillation. The problem of low-frequency oscillation belongs to the category of small disturbance stability. With the expansion of interconnected power systems, the commissioning of long-distance heavy-load transmission systems, the application of fast automatic excitation regu...
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