ECE 558 - Spring 2021

Power System Reliability

Info

• Syllabus
• Policies
• PTI raw data format description
• Paper List
• Presentation Evaluations
• Blackboard SafeAssign (How to submit a SafeAssignment)

Projects

• Project 1 (probability review)
• Project 2 (expected value, binomial distr.)
• Project 3 (binomial distr. applications, Monte Carlo)
• Project 4 (Loss of Load Expectation)
• Project 5 (Energy Index of Reliability, Expected Energy)
• Project 6 (frequency and duration method)
• Project 7 (interconnected systems)
• Final Project (composite systems)

Files

• Redundancy Study Table (12k PDF)
• Capacity Outage, Load Loss, Curtailment Tables (27k PDF)
• Coin Toss M-file (2 kB ASCII text)
• PTDF and LODF data for 3-bus system (ASCII text M-file)
• Data for 5-bus system (ASCII text)
• PTDF and LODF Data for 5-bus system with all 8 branches (ASCII text)
• PTDF and LODF Data for 5-bus system with branch 7 out-of-service (ASCII text)
• gen_dispatch M-file (3 kB ASCII text)
• gen_dispatch 3 bus example M-file (3 kB ASCII text)
• Presentation Evaluation Sheet (10 kB XLSX)
• Presentation Evaluation Sheet (14 kB PDF)
  
  
• MATLAB diary Jan 21 (7 kB ASCII text)
• MATLAB diary Feb 16 (10 kB ASCII text)
• Project 1 Solutions (105 kB PDF)
• Project 2 Solutions (66 kB PDF)
• Project 3 Solutions (9 kB PDF)
• Project 4 Solutions (20 kB PDF)
• Project 5 Solutions (23 kB PDF)
• Project 6 Solutions (21 kB PDF)

Links

• Department of Energy (DOE) Office of Electricity Delivery & Energy Reliability
• Electric Power Research Institute (EPRI)
• Federal Energy Regulatory Commission (FERC)
• North American Reliability Corporation (NERC)
• MATLAB Loren's blog (many useful issues discussed - see the archives)
• MATLAB R14 help (Small subset of available information from MATLAB help command)
• MATLAB Support Documentation at MathWorks (Getting Started, Examples, Development Environment, Programming, Graphics and more)
• MATLAB Tutorial (Register for free on-demand tutorial, 120 minutes)
• Python (official Python web site, includes documentation and tutorial)
• SciPy (scientific computing with Python - check out the Getting Started link)
• PYPOWER (partial port of MATPOWER)