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Advanced Distribution System Analysis and Operation

By Prof .Narayana Prasad Padhy, Prof. Subho Paul   |   MNIT Jaipur (On-lien from IIT Roorkee), IIT (BHU) Varanasi
Learners enrolled: 62
ABOUT THE COURSE:

This course provides a comprehensive exploration of modern distribution networks, covering key areas such as the fundamentals of network design, integration of Distributed Energy Resources (DER), load flow analysis, and optimal power flow (OPF). It delves into enhancing reliability and resiliency and examines the coordination between transmission and distribution systems. Advanced topics include the use of AI for intelligent control, fault analysis, and protection in DER-integrated systems, as well as automation for network restoration. Additionally, the course highlights the critical role of cyber-physical systems in ensuring grid security and monitoring. Further, mathematical formulations to solve such challenges are described and validated with real-time data and software demonstrations. The practical implications and applications of these modules include optimizing energy efficiency, integrating renewable energy sources, enhancing grid reliability and resilience, improving fault detection and response, and securing modern digitalized power systems, all of which are essential for adapting to the evolving needs of power distribution in Metro, Urban/Semi-Urban, and rural locations of India.

INTENDED AUDIENCE: 10000 (UG 4th year students, PG, and PhD research scholars, industry personnel, power system operators, distribution network operators, faculty members from private and government academic institutes etc.)

PREREQUISITES:  
 Course 1: Distribution Network Analysis
 Course 2: Power System Operation and Control
 Course 3: Smart Grid Technologies
 Course 4: Computer-Aided Power System Analysis
 Course 5: Artificial Intelligence and Soft Computing

INDUSTRY SUPPORT: State Power Distribution companies, DISCOMs Private sector: ABB, Schneider, Siemens, Tata Power, GE, BSES Rajdhani, Adani Electricity, Reliance Power, CESC etc. and all private sectors dealing with renewable energy and distribution networks
Summary
Course Status : Upcoming
Course Type : Elective
Language for course content : English
Duration : 12 weeks
Category :
  • Electrical, Electronics and Communications Engineering
  • Power Systems and Power Electronics
Credit Points : 3
Level : Undergraduate/Postgraduate
Start Date : 21 Jul 2025
End Date : 10 Oct 2025
Enrollment Ends : 28 Jul 2025
Exam Registration Ends : 15 Aug 2025
Exam Date : 01 Nov 2025 IST
NCrF Level   : 4.5 — 8.0

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.


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Course layout

Week 1: Module 1: Fundamentals of Power Distribution Networks
  • Introduction to power distribution networks
  • Difference between power transmission and distribution networks
  • The architecture of distribution networks
  • Impacts of distributed energy resources (DERs) on distribution grids
  • DER hosting capacity assessment 
  • Operational challenges associated with DER integrated distribution networks 

Week 2: Module 2: DER Integrated Distribution Network Modeling
  • Distribution network circuit elements and their functionalities 
  • Modeling and operation of DERs
  • Load and volt-VAR controlling device models 
  • Bus injection model of distribution networks 
  • Branch flow model of distribution networks 

Week 3: Module 2: DER Integrated Distribution Network Modeling
  • Modeling of unbalancing effects in distribution networks
  • Model relaxation techniques
  • Simplified linear model of distribution grid
  • Example models of DERs and distribution grids in the OpenDSS platform
Module 3: DER Integrated Distribution Network Load Flow Analysis
  • Introduction to distribution network load flow
  • Sparsity quantification of radial, weakly meshed, and ring distribution networks

Week 4: Module 3: DER Integrated Distribution Network Load Flow Analysis
  • Graphical load flow analysis of DER integrated distribution networks
  •  Load flow analysis with different load models
  • Three-phase power flow with unbalanced DER penetration
  • Example of load flow solution in OpenDSS platform 
Module 4: Distribution Network Optimal Power Flow (OPF) Analysis
  • Introduction to OPF analysis
  • Different OPF control approaches 

Week 5: Module 4: Distribution Network Optimal Power Flow (OPF) Analysis
  • Mathematical formulation of OPF problems
  • Three-phase OPF formulation and computational challenges
  • Convex relaxation and exactness analysis
  • Centralized and distributed algorithms for OPF solution 
  • Multi-period OPF and solution methods 
  • Uncertainty quantification and overview of probabilistic OPF

Week 6: Module 4: Distribution Network Optimal Power Flow (OPF) Analysis
  • Overview of commercial OPF solvers
  • Case study demonstration of OPF algorithms and validation in OpenDSS 
Module 5: Distribution Network Reliability
  • Introduction to reliability analysis
  • Probabilistic failure analysis of network components 
  • Reliability metrics 
  • Value of loss load calculation 
  • System reliability enhancement technologies

Week 7: Module 5: Distribution Network Reliability
  • Case study demonstration
Module 6: Transmission-Distribution (T&D) Interaction
  • Concept of distribution system operator (DSO)
  • Bidding mechanism for DSOs 
  • Ancillary support from distribution grids to transmission networks 
  • T&D market mechanism
  • Transmission-distribution co-simulation framework
  • Case study demonstration on T&D interaction

Week 8: Module 7: Artificial Intelligence Enabled Control of Distribution Network
  • Introduction to AI and its scope in distribution network control
  • Physics informed neural network for OPF problem
  • Markov decision process for smart inverter coordination and control 
  • Deep reinforcement learning for demand response
  • Case study demonstration and validation 

Week 9: Module 8: DER Integrated Distribution Network Fault Analysis and Protection
  • Impact of DER integration on fault currents
  • Fault detection and classification: classical and AI-based methods
  • Relay coordination algorithms
  • Outage management system
  • Fault ride through operation of DERs
  • Case study demonstration

Week 10: Module 9: Distribution Network Resiliency
  • Introduction to resiliency
  • Causes of distribution system failure 
  • Impact of extreme weather events on distribution grids
  • Fragility analysis of distribution network circuit elements 
  • Predictive and corrective measures to enhance system resiliency 
  • Grid hardening methods and case studies  

Week 11: Module 10: Distribution Network Automation and Restoration Study
  • Overview of advanced distribution management systems (ADMS) 
  • Smart Meters and Advanced Metering Infrastructure (AMI)
  • Time-synchronized data measurement and PMU operation
  • Distribution network reconfiguration
  • Model-based network restoration
  • Centralized and distributed methods for critical load restoration
  • Case study demonstration 

Week 12: Module 11: Cyber-Physical Layers in Distribution Systems
  • Communication requirements in distribution network operation
  • Communication network architecture and mediums
  • Communication non-idealities and their models
  • Smart meter data flow quantification and analysis 
  • Centralized and distributed data sharing
  • Impact of missing data and its analysis 
  • Cyber threats and their impact analysis
  • Cyber-physical co-simulation framework and case studies 

Books and references

 1. W. H. Kresting, “Distribution system modeling and analysis”, CRC Press
 2. Electrical Distribution System Protection, 3rd Edition, Cooper Power Systems, 1990
 3. M. Vadari, Electric System Operations, Evolving to modern grid, Amazon Digital Services LLC, 2012
 4. Recent research articles related to distribution network analysis and operation

Instructor bio

Prof .Narayana Prasad Padhy

MNIT Jaipur (On-lien from IIT Roorkee)
Dr. Narayana Prasad Padhy received the Ph.D. degree in power systems engineering from Anna University, Chennai, India, in 1997. He is working as Professor (HAG) with the Department of Electrical Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee, India. He is currently the Director of the Malaviya National Institute of Technology (MNIT), Jaipur, India and the mentor director of the Indian Institute of Information Technology (IIIT) Kota. Earlier he has served as Dean of Academic Affairs, Institute, NEEPCO, 92 Batch and Ravi Mohan Mangal Institute Chair Professors at IIT Roorkee. He is the National lead of many national and international projects such as DSIDES, ID-EDGe, and HEAPD. He is also part of other international projects, namely Indo-US UI-ASSIST and Indo UK ZED-I. He has published more than 200 research articles in reputed international journals and conference proceedings. His research interests include power system analysis, demand-side management, energy market, network pricing, ac–dc smart grid, and application of machine learning techniques in power systems. Dr. Padhy is also a Fellow of the Indian National Academy of Engineers (INAE), Fellow Institution of Electronics and Telecommunication Engineers, India, Fellow Institution of Engineering and Technology, UK, and Fellow of Institution of Engineers, India. He was the recipient of the IEEE PES Outstanding Engineers Award 2018, Boyscast Fellowship and the Humboldt Experienced research Fellowship in the year 2005 and 2009, respectively.


Prof. Subho Paul

IIT (BHU) Varanasi
Dr. Subho Paul received the M.E. and the Ph.D. degree in electrical engineering with Power systems specialization from Jadavpur University, Kolkata and Indian Institute of Technology Roorkee in 2016 and 2021, respectively. He is currently working as an Assistant Professor at the Department of Electrical Engineering in Indian Institute of Technology (BHU) Varanasi. Prior to that he served as a Postdoctoral Research Associate with the Indo-US UI-ASSIST project at IIT Roorkee from Oct. 2021 to Sept. 2022 and at Washington State University, Pullman, Washington, USA from Oct. 2022 to Dec. 2023. He has published more than 40 research papers in peer reviewed journals, international conference proceedings and book chapters. His research interests include power system optimization, distribution network optimal power flow, microgrid energy management, power system resiliency, and application of artificial intelligence techniques in power system. Dr. Paul is a Member of IEEE, USA and Institute of Engineers (IE), India. He was the recipient of the University Gold Medal for standing first in order of merit in the M.E. degree from Jadavpur University in 2016. He is also awarded with the Grid India Power System Award 2024 (GIPSA-2024) under the doctoral category of outstanding work by the Grid Controller of India Limited. He also received Best Paper Awards at various international IEEE conferences for his research contributions.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: November 01, 2025 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

Please note that assignments encompass all types (including quizzes, programming tasks, and essay submissions) available in the specific week.

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Roorkee. It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team


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