Rademics Research Institute

Abstract

The rapid integration of Internet of Things (IoT) and power electronics was revolutionizing modern smart grids and industrial automation, enabling intelligent control, real-time monitoring, and predictive maintenance. The seamless deployment of IoT-driven power electronic systems presents critical challenges related to communication interoperability, cybersecurity risks, data privacy, and real-time decision-making. This book chapter explores the role of advanced AI-driven analytics, edge computing, and blockchain-enabled security frameworks in enhancing the efficiency, reliability, and resilience of IoT-controlled power infrastructures. It presents an in-depth analysis of privacy-preserving data analytics, anomaly detection techniques, and interoperability solutions for heterogeneous IoT communication protocols in power electronics applications. The chapter investigates the application of Edge AI for real-time power system optimization, ensuring low-latency control and autonomous fault diagnosis. The discussion also highlights cybersecurity challenges and privacy-preserving mechanisms, including federated learning, differential privacy, and blockchain-based authentication, to mitigate data security risks in IoT-based power monitoring systems. By addressing key research gaps and presenting next-generation solutions for IoT-driven power electronics, this work provides a comprehensive framework for designing secure, intelligent, and high-performance energy systems.

Introduction

The convergence of power electronics and the IoT has revolutionized modern smart grids and industrial automation by enabling real-time control, intelligent monitoring, and predictive analytics [1]. Traditional power electronic systems operated in isolated environments with minimal data exchange, but with the integration of IoT, these systems have evolved into interconnected networks capable of autonomous decision-making, adaptive energy management, and remote diagnostics [2-5]. The proliferation of IoT-enabled sensors, intelligent controllers, and edge computing technologies has significantly enhanced the efficiency, flexibility, and resilience of power electronic infrastructures [6]. The transition to IoT-driven power electronics introduces numerous challenges related to interoperability, cybersecurity risks, data privacy, and latency constraints, which must be systematically addressed to ensure sustainable and secure operations [7].

One of the fundamental challenges in IoT-based power electronics was interoperability among diverse communication protocols and heterogeneous devices [8]. Power electronic systems operate in complex environments where multiple protocols, including MQTT, CoAP, OPC-UA, and DDS, facilitate data exchange across distributed networks. The lack of standardized frameworks for seamless communication between IoT-enabled power electronic devices leads to data silos, integration complexities, and inconsistent network performance [9,10]. To overcome these challenges, advanced solutions such as middleware-based interoperability, SDN, and AI-driven protocol optimization are being explored [11]. Ensuring reliable and secure data exchange among smart grids, industrial automation systems, and energy management platforms was crucial for maximizing the efficiency and scalability of IoT-integrated power electronics [12].