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Large-scale electric power system node load flow computing method

A large-scale power and system node technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve problems such as increase in computing volume and decrease in computing efficiency, and achieve the goal of ensuring normal operation, improving computing efficiency, and ensuring efficient planning. Effect

Active Publication Date: 2015-10-07
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

When the number of nodes increases, the amount of calculation increases exponentially, and the calculation efficiency decreases greatly.

Method used

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  • Large-scale electric power system node load flow computing method
  • Large-scale electric power system node load flow computing method
  • Large-scale electric power system node load flow computing method

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0047] like figure 1 As shown, the present invention provides a large-scale power system node power flow calculation method, which parallelizes the construction process of the Jacobian matrix in the power flow calculation, stores the admittance matrix and the Jacobian matrix in the form of key-value pairs, and facilitates Parallel access. Each iteration process is divided into a Map stage and a Reduce stage. In the Map stage, each element in the Jacobian matr...

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Abstract

The invention provides a large-scale electric power system node load flow computing method. A conventional admittance matrix and parameter vector data are stored in a key value pair mode; each Mapper reads a key value pair <key, value> from a K-V database to act as input; each Mapper computes a Jacobi matrix element according to the input; the output results of all the Mapper are ordered for preparation of merging of Reducer; the Reducer merges the Jacobi matrix elements outputted by all the Mapper so that a matrix and a correction equation are formed; the equation is solved and a voltage phase angle is corrected; and the next round of iteration is performed through the correction results. According to the load flow computing method, the Jacobi matrix elements are parallel computed on multiple computers via a cloud computing platform so that superposition of computing power of multiple physical computers is realized, and computing efficiency, fault tolerance of the cloud platform and reliability of the computing results are enhanced.

Description

technical field [0001] The invention relates to the technical field of power system automation analysis, in particular to a power flow calculation method for large-scale power system nodes. Background technique [0002] The so-called power system power flow refers to the main body of all operating parameters in the system, including the voltage and phase of each bus, the power and current of each generator load, the power, current and loss of each transformer and line. The power flow calculation is to calculate all the operating parameters of the system when certain operating parameters are known, and it is the most basic and commonly used calculation in power system operation and planning. [0003] In recent years, with the continuous expansion of the interconnection and scale of the power system, the number of system nodes is increasing, and the scale of power flow calculation is also increasing, and the traditional power flow calculation method is becoming more and more i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
Inventor 艾明浩蒲天骄陈乃仕屈富敏李志宏李烨葛贤军刘克文王晓辉赵立强李丹
Owner CHINA ELECTRIC POWER RES INST
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