An Overview of Artificial Intelligence Applications for Power Electronics

Abstract

This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics. This paper is accompanied by an Excel file listing the relevant publications for statistical analytics.

Power Electronics Reliability: State of the Art and Outlook

“…This method expects to improve the sensitivity and reduce noise in the remaining useful lifetime prediction based on multiple sources of degradation data. Artificial Intelligence (AI) based condition monitoring methods [112] hold great potential with the continued digitization and increasing amounts of available data in power electronics applications. Fig.…”

Online diagnosis of supercapacitors using extended Kalman filter combined with PID corrector

“…In order to model the electrical behavior of a SC, several equivalent electrical circuit models have been proposed in literature. The most common are simple RC model [24], [34], Zubieta model [35], simple pore model [10], CPE model [36], multi-pore model [37], and fractional-Order Model [38]. Increasing circuit sophistication always leads to a more complex formulation and generally requires high computational resources, making it more difficult to identify SC parameters in real time [39], [40].…”

“…Increasing circuit sophistication always leads to a more complex formulation and generally requires high computational resources, making it more difficult to identify SC parameters in real time [39], [40]. Zubieta model [35], presented in Figure 6, is a simple model that evaluates the overall real behavior of the supercapacitor. It is composed of a series combination of a resistor 𝑅 and a capacitor which is characterized by variable capacity over time 𝐶.…”

“…It has been proven that the capacitance 𝐶(𝑡) varies linearly with the voltage 𝑈 𝑐 (t) [35], [41], [42]. Therefore, the capacitance 𝐶(𝑡) is expressed as a function of voltage 𝑈 𝑐 (t) using the following linear expression:…”

A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

“…The process is extensively used in industries as well as by consumers in their day-today activities. Further, the application of AI for the digital transformation of power systems is identified to have massive potential to aid in improving stability, reliability, dynamic response, and other essential advancements for the power system network [2]. Currently, AI is targeted at implementing the design [3], forecasting [4], control [5], optimization [6], maintenance [7], and security aspects of the power system [8] as illustrated in Figure 1.…”