كنفرانس بين المللی مهندسی صنايع و سيستم ها

صفحه اصلی / دوازدهمین كنفرانس بين المللی مهندسی صنايع و سيستم ها

Toward Intelligent Grids: Integrating IoT, SCADA, Edge-Cloud and Cybersecurity

نویسندگان :

Behnaz Kharkan¹ Masoudeh Mirhosseini² Naser Dorjoo³

1- دانشگاه صنعتی اصفهان 2- دانشگاه یزد 3- دانشگاه آزاد یزد

کلمات کلیدی :

smart distribution networks،SCADA،Internet of Things (IoT)،edge computing،artificial intelligence،cybersecurity

چکیده :

Abstract-Electric power distribution networks are transitioning from conventionally supervised feeders into data-intensive cyber-physical systems in which Internet of Things (IoT) sensing, Supervisory Control and Data Acquisition (SCADA) telecontrol, edge computing, cloud and streaming analytics, artificial intelligence (AI), Digital Twins, and cybersecurity increasingly interact under rising distributed energy resource (DER) penetration. Although each of these domains has matured substantially in isolation, published architectures often remain fragmented across operational technology (OT), information technology (IT), and enterprise asset-management boundaries, with security frequently treated as an afterthought rather than a design constraint. This review and synthesis paper develops a Unified Digital Distribution Architecture (UDDA): an integrated conceptual reference framework that organizes the digital distribution ecosystem into six coordinated layers-Field, Communication, Edge, Streaming/Analytics, AI and Digital Twin, and Enterprise-beneath a cross-layer cybersecurity and data-governance plane. The paper surveys enabling technologies and standards, including IEC 61850, IEC 60870-5-104, IEEE 1815/DNP3, MQTT, OPC UA, IEC 62351, IEC 62443, and NIST guidance, clarifies protocol roles across layers, and positions Apache Kafka, Spark, and Flink as representative candidates for event-driven analytics backbones. A comparative analysis contrasts UDDA with siloed IoT, AI-only predictive-maintenance, Digital-Twin-centric, and SCADA-modernization approaches. The contribution is conceptual and integrative: UDDA is intended to support interoperable planning and future implementation rather than report experiments, latency benchmarks, or deployment results. Open challenges and a research roadmap conclude the study.