A device and method for multi-objective real-time optimization of an inverter system

Abstract

The present invention relates to the technical field of power electronics intelligent control, in particular to a multi-objective real-time optimization device for an inverter system. According to the control mode of the inverter system, a multi-objective optimization model that can simultaneously consider voltage waveform quality, control accuracy and system operating efficiency is set ; After establishing the inverter system model based on multi-objective optimization, the intelligent optimization algorithm is used to optimize; to ensure the high-performance operation of the inverter system; at the same time, in order to prevent the control parameters from affecting the stability of the system, a constraint equation reflecting the stability of the system is established. When the intelligent optimization algorithm is used to optimize the inverter system in real time, high stability of the inverter system can be achieved. The present invention can be applied to fields such as emergency power supply fields, shore power fields, and new energy micro-grid fields, and can satisfy the stable and efficient operation of a single inverter power supply.

Description

technical field [0001] The invention belongs to the technical field of power electronics intelligent control, and in particular relates to a multi-objective real-time optimization device and method for an inverter system. Background technique [0002] The core part of the inverter system is the inverter controller, and the control parameters in the controller determine the control performance. Traditional parameter setting methods include zero-pole configuration method, engineering setting method and empirical method. The pole-zero configuration method can only configure the control parameters in the steady state of the system, but cannot calculate the control parameters in the dynamic state of the system. The engineering setting method and the empirical method need to carry out repeated tests on the premise of rich parameter setting experience in order to expect the control to achieve the optimal effect, so the use of these two methods is time-consuming and laborious. [...

AI Technical Summary

Problems solved by technology

For the real-time optimization of the converter system, the target optimization models established by most researchers only consider incomplete objectives such as waveform quality or control accuracy, and ignore the influence of control parameters on the stability of the converter system and the operation of the converter system. efficiency

Therefore, the optimized control parameters cannot guarantee the high stability and high operating efficiency of the converter system.

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