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“Internet of Things” – The new age drivers of Power Distribution Automation
Speaker: Jayant Sinha Date of session: 2 Oct, 2015
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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
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Concepts
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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
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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
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Integration of Things
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Applications
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Smart Metering application
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Feeder Management: Configuration after fault
Source: US Dept. of Energy
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Feeder Management: Configuration after intelligent switching
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Smart Power Distribution System
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Power Distribution Network Analysis
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Load Planning & Forecasting
Actual Load Forecast Load
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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
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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
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Challenges
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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
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Thank you! Jayant Sinha, Lead Consultant (Smart Networks)
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