Edge-AI Micro-Phasor Controller for Urban Meshed Grids
Optimizing Urban Grids: Empowering Edge-AI for Stable, Efficient, and Secure Power Distribution.
About This Course
This workshop covers the development and deployment of Edge-AI Micro-Phasor Controllers for urban meshed grids. Participants will learn synchrophasor basics, AI-driven control for voltage regulation, and secure edge deployment, gaining hands-on experience in optimizing grid stability, power flow, and cybersecurity.
Aim
The aim of this workshop is to teach participants how to develop and deploy an Edge-AI Micro-Phasor Controller for urban meshed grids, focusing on synchrophasor fundamentals, AI-driven control for voltage regulation, and secure edge-based deployment for optimized grid stability and power flow.
Workshop Objectives
-
Understand synchrophasor fundamentals and their application in urban meshed grids.
-
Learn to develop and deploy Edge-AI controllers for voltage regulation and congestion relief.
-
Gain hands-on experience in building AI models for grid optimization and safety protocols.
-
Explore secure edge deployment, including containerization, latency management, and fail-safe mechanisms.
-
Learn to integrate AI models with grid data streams and perform real-time grid performance analysis.
Workshop Structure
📅 Day 1 – Synchrophasors & Urban Mesh Basics
- mPMU fundamentals: phasors, frequency/ROCOF, standards: C37.118/IEC 61850
- Urban meshed feeders: topology, protection/coordination, congestion & voltage issues
- Edge data pipeline: GNSS/PTP time sync, CT/PT errors, streaming/windows, bad-data flags
- Hands-on: Ingest sample mPMU stream → compute phasors & ROCOF → flag bad data → build a minimal edge feature feed
📅 Day 2 – Edge-AI Control (State, Policy, Safety)
- Fast state awareness: DSSE/linearized models, topology tracking, low-observability tactics
- Controllers: Volt/VAR & Volt/Watt, congestion relief with DERs; constraint handling & rate limits
- Safety envelope: guardrails, human override, stability checks
- Hands-on: Train a lightweight constrained policy in sim to regulate voltage/line loading on a small mesh using inverter VARs—verify constraint adherence
📅 Day 3 – Deployment, Interop & Cybersecurity
- Edge runtime: containerization, hot-reload, latency/fail-safe/islanding modes
- Interop: C37.118, IEC 61850 (GOOSE/SV), MQTT/OPC-UA bridges; versioned configs
- Security & ops: segmentation, certs/signing, tamper/drift monitoring, audit logs; KPIs & ticketing
- Hands-on: Deploy the controller to an edge-gateway emulator fed by synthetic phasors; run a contingency test and export traces, setpoints, and KPI report
Who Should Enrol?
-
Professionals in electrical engineering, power systems, and grid management
-
Researchers working on smart grids, edge computing, and AI applications in energy
-
Engineers and technicians involved in urban power distribution and voltage regulation
-
Individuals with a basic understanding of power systems, synchrophasors, and edge computing
-
Those interested in AI and cybersecurity applications in electrical grid operations
Important Dates
Registration Ends
11/17/2025
IST 4:30 PM
Workshop Dates
11/17/2025 – 11/19/2025
IST 5:30 PM
Workshop Outcomes
-
Proficiency in Edge-AI Micro-Phasor Controller development and deployment for urban meshed grids.
-
Hands-on experience in synchrophasor analysis, AI-driven voltage regulation, and congestion relief.
-
Ability to optimize grid stability and power flow using AI-based control techniques.
-
Knowledge of secure edge deployment, including containerization and fail-safe operations.
-
Skills in integrating AI models, ensuring cybersecurity, and performing contingency tests in grid systems.
Fee Structure
Student Fee
₹1999 | $65
Ph.D. Scholar / Researcher Fee
₹2999 | $75
Academician / Faculty Fee
₹3999 | $85
Industry Professional Fee
₹5999 | $105
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →