EET 110: Power and Energy Management II

Course Information
  • Semester: Spring Semester 2025
  • Instructor: Parikshit Pareek (email: pareek AT ee.iitr.ac.in)
  • Lectures: Tue • 09:00 AM – 11:00 AM; 05:00 PM – 07:00 PM @ EED 109
  • Venue: EED 109
  • Piazza: Same as EET 109 Course
  • TA: Ayushi Jolotia(ayushi_j AT ee.iitr.ac.in)
📌 Announcements
  • 2026‑02-10: Homeworks for Lecture 2 have been released: PDF and Notebook.
  • 2026‑02‑02: The Term Paper timeline and deliverables are published in the final section of this webpage.
  • 2026‑01‑20: Term paper form is available on Piazza. Submission deadline: next Tuesday.
  • 2025‑12‑10: Initial Course website launched.
🎯 Course Objectives

This is not a traditional classroom-based course, nor is it a lab course focused on running experiments. This is a TEC: Talent Enhancement Course, Part II.

Designed for individuals who are already highly capable, this course aims to challenge your thinking and expand your potential. It will be largely hands-off in terms of direct implementation, encouraging independent exploration, creative problem-solving, and pushing beyond your current limits. Briefly, our objectives in this course are:

  1. Develop a solid understanding of optimization algorithms behind operations of power grid.
  2. Implement various optimal power flow methods on CPU and GPU with parallelization capabilities for speed & accuracy.
  3. Explore advanced ML surrogates for Constrained Optimization Problem.
Course Content
Index Topics Slides Homeworks
0 Introduction to EET110 Slides Find The Term Paper Topic
1 Introduction to Optimization Slides PDF1
2 Linear Programming Slides PDF1 · Notebook2
3 Linear Programming Practical Slides
4, 5, 6 Polyhedral, Convexity, LP Bounds, Dual, Simplex (Self-Learning) PDF1
7 DCOPF Lab Slides
📝 Assignments
  • Python and Julia are default programming languages for the course. You should use any of these for programming your assignments unless otherwise explicitly allowed.
  • Submit via Moodle or GitHub—- as specified in each assignment.
  • Viva will accompany each assignment — your explanation during the viva carries significant weight in grading.
  • Honor Code: Any cases of copying will be awarded a zero on the assignment. More severe penalties may follow.
  • Late submissions will incur penalties, as annouced with assignment.
📚 References & Resources

Course Resources:

– Linear Programming

– Simplex Algorithm

Reference Books:

  • S. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, 2004.
  • H.P. Williams. Model Building in Mathematical Programming, 5th Edition. Wiley, 2013.
🧾 Grading Policy (Tentative)
  • CWS+PRE+PRS (50 Marks)
    • Lab Assignments — 20 Marks
    • Term Paper / Project — 30 Marks
  • Mid Term (20 Marks) — Exam
  • End Term (30 Marks) — Exam

Lab Assignments (Coding Tasks):

  • Lab 1: Linear Programming (Dispatch)
  • Lab 2: MILP (Unit Commitment)
  • Lab 3: NLP (AC-OPF)
  • Lab 4: Relaxations (SOCP/SDP)
🧾 Term Paper Timeline and Deliverables
Week (Date) Milestone Requirement
Week 4 (Feb 10, 2026) Proposal 1-page abstract + Selected “Base Paper”
Week 8 (Mar 10, 2026) Update Mathematical formulation finalized (LaTeX)
Week 10 (Mar 24, 2026) Code Check Working code (in a notebook; will be made public)
Week 12 (Apr 7, 2026) Final Final report + 10-minute presentation


📂 Student Submissions of Term Paper
S.No. Team Name Members Submissions
1 Aletheia Reenav Ray, Aryan Mehra, Sachin Saini, Rahul, Nischay Sanjay Jiwankar Abstract
2 OptiML Tharun Rathod, Ayush Bairwa, Chirag Bundela Abstract
3 Khoji Adithya Jaiswal, Aditi, Naman Meena, Swastic Keshari Abstract
4 Sleeping Pizza Medha Bhutani Abstract
5 Onyttig Kaustubh Sharma Abstract
6 Optimus Primes Anushree Gupta, Daiwik Vohra, Jaineel Lakesh Dalsania, Rishit Saini Abstract
7 UC DecompX Lab Sreemayi Yavvari, Annam Sai Sumanjali Abstract
8 Black KAPSS Shashank Shekhar, Abhinav Karn, Shivam Bansal, Kris Keshav, Lakhote Pranad Nilesh Abstract
9 Vanguard Akshat Odiya, Aniruddh Yadav, Harendra Abstract
10 NearOptimal Mahankali Vinoothna Abstract
🧾 Exam Papers

– Quiz 1

– Quiz 2