Smart Grids and Advanced Metering Infrastructure Course

Training Outlines

Introduction

Smart grids combine digital measurement, communications, automation and distributed intelligence to improve visibility, flexibility and customer service. Their value depends on coordinated architecture, interoperable devices, reliable data flows and security controls rather than isolated technology procurement.

This course develops an integrated understanding of smart-grid and advanced metering infrastructure. Participants will design AMI components, evaluate communication options, govern meter data, integrate distribution automation and distributed resources, and structure secure implementation programmes.

Objectives

• Define smart-grid functions and architecture layers
• Design end-to-end AMI system components
• Evaluate communication technologies and performance
• Apply interoperability standards and data models
• Use meter data for operational and customer applications
• Integrate automation and distributed energy resources
• Address cybersecurity, privacy and resilience risks
• Develop an implementable smart-grid deployment roadmap

Course Outlines

Day 1: Smart-Grid Architecture and Use Cases

• Drivers and capabilities of smart grids
• Architecture domains and functional layers
• Utility, customer and market interfaces
• Distribution visibility and observability
• Prioritising operational use cases
• Requirements and benefits mapping

Day 2: Advanced Metering Infrastructure Design

• Smart-meter functions and specifications
• Head-end systems and meter-data management
• Data concentrators and field topology
• Remote connect, tariff and event functions
• Meter deployment and commissioning
• Data quality and exception management

Day 3: Communications and Interoperability

• RF mesh, cellular and PLC options
• Coverage, latency and bandwidth requirements
• Communication-network availability and redundancy
• Protocols, standards and semantic models
• Legacy-system and enterprise integration
• Interoperability testing and vendor governance

Day 4: Analytics, Automation and Active Networks

• Load profiling and demand analytics
• Outage detection and restoration support
• Loss, theft and anomaly identification
• Demand response and dynamic tariffs
• DER, storage and electric-vehicle integration
• ADMS and distributed intelligence

Day 5: Security and Implementation Governance

• AMI threat modelling and attack surfaces
• Identity, encryption and key management
• Privacy, consent and data retention
• Resilience and incident-response planning
• Business case and phased deployment
• Smart-grid implementation workshop