Current analytical device and method on basis of step-length variable neural network
A neural network and power flow analysis technology, applied in the direction of circuit devices, AC network circuits, electrical components, etc., can solve problems such as divergence, slow convergence speed of BP algorithm, and poor learning rate
Inactive Publication Date: 2012-01-11
NORTHEASTERN UNIV LIAONING
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An important reason for the slow convergence speed of the BP algorithm is that the learning rate is not well selected. If the learning rate is too small, the convergence speed is too slow. If the learning rate is too large, it may be corrected too much, resulting in oscillation or even divergence.
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[0080] The hardware device of the present invention includes a lower computer and an upper computer composed of a front module (voltage power sensor), an A / D conversion module, a DSP module, a single chip microcomputer, a display and keyboard operation unit module, a calibration module and a communication module. Among them, the A / D conversion module, DSP module and single-chip microcomputer are packaged in one 6014A chip, and the sensor, 6014A chip (A / D conversion module, DSP module and single-chip microcomputer), communication module, and host computer are connected in sequence. The system block diagram is shown in the appendix figure 1 .
[0081] The voltage sensor and power sensor in the front module collect the real-time voltage and power signals of each node of the power system, and input them to the A / D conversion module on the chip for sampling. The A / D conversion module converts the power input from the front module The system voltage and power analog signals are con...
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The invention relates to a current analytical device and a current analytical method on the basis of a step-length variable neural network. The current analytical device comprises an upper machine and a lower machine, wherein the lower machine comprises a preposing module, an A / D transform module, a DSP data processing module, a singlechip, a display and keyboard operation unit module, a correction module and a communication module; a voltage and power sensor is connected with each node of an electric power system, the output end of the voltage and power sensor is connected with the A / D transform module which is connected with the DSP data processing module and the correction module, the DSP data processing module is respectively connected with the display and keyboard operation unit module, the correction module and the singlechip, the correction module is connected with the singlechip which is connected with the communication module, and the communication module is connected with the upper machine. The invention adopts a step-length variable error back propagation algorithm based on the neural network to establish a neural network current analytical model so as to carry out the current analysis of the electric power system, thereby ensuring the computation accuracy of a current computing system; and the step-length variable error back propagation algorithm has inimitable superiority on velocity convergence.
Description
technical field [0001] The invention belongs to the technical field of power system power flow analysis, and in particular relates to a power flow analysis device and method based on a variable step size neural network. Background technique [0002] Power flow analysis is the most basic and important part of power system analysis. It has great practical value in all aspects of power system. The task of conventional power flow analysis is to determine the operating state of the entire system according to the given operating conditions and network structure, such as Voltage on each bus, power distribution in the network, power loss, etc. [0003] Due to the large scale of the power system, the power flow analysis is extremely complex and difficult. It has always been the goal that people pursue to find a power flow analysis method with strong adaptability, fast calculation speed and reliable convergence. Although many practical problem-oriented power flow analysis methods hav...
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IPC IPC(8): H02J3/00
Inventor 张化光杨珺孙秋野杨东升巴超李小兰李钟旭
Owner NORTHEASTERN UNIV LIAONING