“Internet of Things” – The new age drivers of Power Distribution Automation Speaker: Jayant Sinha Date of session: 2 Oct, 2015

Agenda Concepts Internet of Things - Intelligent devices, controls and communications Applications The transformation of Power Distribution Automation Challenges The challenges of integration, interoperability and security

Concepts

Internet of Things No standard definition Most commonly accepted definition “The Internet of Things (IoT) is a computing concept that describes a future where everyday physical devices are connected to the Internet, be able to identify themselves to other devices, be able to share information and learn from the collective intelligence of other devices.” Key concepts of IoT Each interconnected device has a digital identity Multiway communication Synergy between interacting devices Shared intelligence Self-learning capability Technology Convergence Integration of Things

Technology Convergence Artificial Intelligence Internet of Things Internet of Services M2M Interface Control Systems M2M Communication Superconductivity Sensors Telemetry Photonics Neural Networks Mobile Computing Cloud Computing Robotics Nanotechnology

Integration of Things

Applications

Smart Metering application

Feeder Management: Configuration after fault Source: US Dept. of Energy

Feeder Management: Configuration after intelligent switching

Smart Power Distribution System

Power Distribution Network Analysis

Load Planning & Forecasting Actual Load Forecast Load

Power Distribution Data Analytics Power Quality Management Harmonics & Transients Analysis Load Balance Analysis Reactive Power Analysis Technical Loss Calculations Load flow studies Load forecasting Network Planning Network reinforcement Network reconfiguration Network optimisation

Internet of Energy Use of sensors and advanced telemetry Transition from traditional power system to Smart Grid Automated systems, with self healing capability Information delivery on demand Interoperability with other smart devices Integrated Energy Management Systems Operational Efficiency Cost Optimisation Environmental Sustainability

Challenges

Overcoming the roadblocks Standardisation of systems and interfaces Interoperable architecture from Sensors to Head end systems High degree of automation with huge data handling capability Adaptive and agile networks for Real-time information processing Robust security systems (Multi-factor and Context-based authentication) Integration of remote, disparate systems on a common platform

Thank you! Jayant Sinha, Lead Consultant (Smart Networks) Email: jayant.Sinha@enzen.com