A new control strategy for harmonic reduction in photovoltaic inverters inspired by the autonomous nervous system

Abstract

This paper proposes a new inverter control strategy whose main purpose is to reduce the current harmonic distortion resulting from unnecessary control actions without sacrificing the system’s dynamic response. The brain’s capabilities to learn and react to stress are mimicked to generate control actions based on emotional cues. The model is based on the brain emotional learning based intelligent controller, to which an autonomous nervous system was added. The modified controller aims at separating the strategy during transient states from the one during steady states. The proposed method was compared to the PI controller, the PR controller, and a neural network-based controller on Matlab Simulink. It shows major improvements in terms of harmonic distortion and a complete removal of the inter-harmonics. It provides a good dynamic response in transient states and an immunity to irrelevant signal variations during the steady state, which results in an improvement in the harmonic production.

Control of a Grid-connected Inverter using Sliding Mode Control

“…Their widespread adoption is due to their role in facilitating smooth integration, enhancing energy yields, and advancing sustainable power generation [4][5][6]. Given that the need for energy-efficient and environmentally friendly solutions rises, their popularity is anticipated to keep expanding [4,5,[7][8][9][10]. The inverter system control includes the controllers at the dc side, current controllers, modulation using carrier waves, and the controller in the Phase-Locked Loop (PLL) to synchronize with the power grid.…”

Harmonic reduction of grid-connected multilevel inverters using modulation of variable frequency carriers

“…The multilevel threephase inverters have also gained attention in grid-connected applications, where they help reduce power losses and increase system efficiency. Their popularity is expected to continue to grow as the demand for energy-efficient and clean energy solutions increases [1,2], [4][5][6][7]. Additionally, ongoing research and development in the field are expected to lead to further improvements in performance and cost-effectiveness.…”