Method for controlling reinforcement learning adaptive proportion integration differentiation-based distribution static synchronous compensator

Abstract

The invention discloses a method for controlling a reinforcement learning adaptive proportion integration differentiation-based distribution static synchronous compensator, which comprises the following steps of: deducing a current-voltage conversion equation in a d-q coordinate system according to a instantaneous power balance formula; respectively regulating an error between a given voltage value and a practical measured value and an error between a DC side capacitor voltage command value and a practical measured value by a reinforcement learning adaptive PID control algorithm in the controlrealizing process so as to obtain an active command signal and a passive command signal; performing voltage-current conversion in a mathematical model to obtain a voltage signal; and carrying out coordinate transformation to obtain a required voltage modulating signal. The method uses the reinforcement learning adaptive PID control algorithm to prevent a condition of unstable performance of a controller caused by the variation of an equivalent parameter in the conventional PID control, realizes the adaptive capability of the controller well and improves the control accuracy.

Description

technical field [0001] The invention relates to a control method of a power distribution static synchronous compensator, in particular to a control method of a power distribution static synchronous compensator (DSTATCOM) based on reinforcement learning adaptive PID. Background technique [0002] With the development of science and technology, my country's power system has developed very rapidly. Among industrial and domestic electric loads, inductive loads occupy a large proportion, and inductive loads must absorb reactive power to work normally. At the same time, a large number of harmonics generated by these loads Wave current also consumes reactive power. The consumption of a large amount of reactive power has caused a series of power quality problems such as voltage fluctuation, flicker and three-phase unbalance in the distribution network. At the same time, there are a large number of fast impact loads in the power distribution system, such as electric arc furnace loads...

AI Technical Summary

Problems solved by technology

The conventional controller design of the static synchronous compensator of the distribution network is based on its local linearization model. Due to the nonlinearity of the DSTATCOM model and the uncertainty characteristics of the equivalent parameters, its control is very difficult and complicated.

At present, the traditional PID control is widely used, but when the PID control is used, when the equivalent parameter measurement is inaccurate or changes, the performance of the controller will be reduced or even unstable, and more seriously, control misoperation and burnout will occur. DSTATCOM device

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