Voltage reactive power optimization control method based on fuzzy neural network

Abstract

The invention discloses a voltage reactive power optimization control method based on a fuzzy neural network. The method is specifically implemented according to the following steps: 1, detecting a voltage of a load side of a whole circuit and reactive power flowing into a high-voltage side of a transformer in a voltage reactive power optimization control circuit; 2, selecting a membership function of a fuzzy neural network control system and a defuzzification method of a fuzzy neural system according to the voltage of the load side of the whole circuit and the reactive power flowing into thehigh-voltage side of the transformer, which are detected in the step 1; establishing a voltage reactive power optimization control system of the fuzzy neural network; and 3, substituting the detectedvoltage of the load side of the whole circuit and the reactive power flowing into the high-voltage side of the transformer into the voltage reactive power optimization control system based on the fuzzy neural network; and after normalization processing is performed on an input sample and an output sample, taking as an input quantity and an output quantity of a network learning sample, and completing voltage reactive power optimization control. A problem that in the prior art, a voltage reactive power control method is complex in calculation is solved.

Description

technical field [0001] The invention belongs to the technical field of voltage and reactive power control, and relates to a voltage and reactive power optimization control method based on a fuzzy neural network. Background technique [0002] Electricity is the lifeblood of the national economy. Today, with the continuous development of social economy, people have put forward higher requirements for power quality, so power companies regard improving power supply quality as the most important goal and direction of development. One of the most important indicators to measure power quality is voltage. Poor voltage quality will not only reduce the efficiency of electrical equipment and increase the loss of the network, but also affect the safe and stable operation of the power grid, and even lead to the collapse of the power grid, leading to large-scale power outages in the power grid. Another indicator of power quality is the reactive power level of the grid. In the power gri...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a voltage and reactive power optimization control method based on fuzzy neural network, which solves the problem of complex calculation of voltage and reactive power control methods in the prior art

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