Balance control system of grid connected inverter circuit based on the improved particle swarm optimization algorithm

2021 International Conference on Electronics, Circuits and Information Engineering (ECIE) Pub Date : 2021-01-01 DOI:10.1109/ECIE52353.2021.00065

Huixiu Li

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引用次数: 1

Abstract

In order to improve the control efficiency of grid connected inverter circuit, this paper designs a grid connected inverter circuit balance control system based on improved particle swarm optimization algorithm. In terms of hardware, the signal acquisition and conditioning circuit is designed according to the basic electrical parameters of the grid connected inverter circuit balance control system. In the aspect of software, an adaptive fuzzy controller is designed to search the circuit signal based on the improved particle swarm optimization algorithm, and the balance control strategy of grid connected inverter circuit is set to realize the balance control of grid connected inverter circuit. Three test environments are set up in the simulation experiment, which is compared with the traditional grid connected inverter circuit balance control. The experimental results show that the improved particle swarm optimization algorithm can get the optimal solution in a short time, and improve the real-time response performance of the system.

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基于改进粒子群优化算法的并网逆变电路平衡控制系统

为了提高并网逆变电路的控制效率，本文设计了一种基于改进粒子群优化算法的并网逆变电路平衡控制系统。硬件方面，根据并网逆变电路平衡控制系统的基本电气参数，设计了信号采集与调理电路。在软件方面，设计了基于改进粒子群优化算法的自适应模糊控制器对电路信号进行搜索，设置并网逆变电路平衡控制策略，实现并网逆变电路的平衡控制。仿真实验设置了三种测试环境，并与传统的并网逆变电路平衡控制进行了比较。实验结果表明，改进的粒子群优化算法能在短时间内得到最优解，提高了系统的实时响应性能。

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2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)

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