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Computational Methods for Power System Analysis
Program Overview
Program Overview
The Robert H. Buckman College of Engineering Online Education Program offers various online degrees and certificates. The program includes doctoral programs, master's programs, graduate certifications, and professional credentials.
Doctoral Programs
- Doctor of Engineering
Master Programs
- Aeronautics & Astronautics
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- Interdisciplinary Engineering
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Graduate Certifications
- Applied Heat Transfer
- Digital Signal Processing
- Hypersonics
- International Development
- Microelectronics and Semiconductors
- Noise Control
- Regulatory Affairs and Regulatory Science for Medical Devices
- Systems
- Teaching and Learning in Engineering
Professional Certifications
- Lean Six Sigma Green Belt
- Lean Principles
- Lean Six Sigma Black Belt
- Lean Six Sigma Green Belt Refresher
- Agile Project Management
- Project Management Essentials
- PMP Exam Preparation
Professional Courses
- Semiconductor Fabrication 101
- Additive Manufacturing
- Design for Security
- Data Science
- Building Water Essentials
- Model-Based Systems Engineering
- Product Safety: An Introduction for Effective Engineering Design
- Small Modular and Advanced Reactor (SMR/AR) Technology
- Systems Engineering Processes and Professional Competencies
Course Details
Computational Methods for Power System Analysis
System modeling of power networks. Description of modern electricity markets. Analysis of the economic dispatch problem using optimality conditions. Planning of distributed energy resources. Smart grid applications. Machine learning applications to power systems (forecasting, demand-side management, and fault detection). Assigned projects will involve implementing some of the methods using realistic power system models.
Course Information
- Credit Hours: 3
- Learning Objective: An introduction to modern power system analysis and computer methods used in planning and operating electric power systems.
Topics Covered
| Weeks | Topics |
|---|---|
| 1 | Introduction, steady-state power network models, electricity markets. |
| 2 | Overview of optimization. Analysis of economic dispatch using optimality conditions. |
| 3 | Planning methods for distributed energy resources (DERs): sizing and placement of solar PV and storage. |
| 3 | Smart grid applications: Control energy storage, distribution system analysis with DERs. |
| 3 | Overview of supervised learning methods. Applications to renewable/load forecasting, fault detection. |
| 3 | Overview of unsupervised learning methods. Applications to demand-side management. |
Prerequisites
This class requires basic knowledge of power systems, probability, linear algebra, and calculus. Familiarity with a programming language such as MATLAB or Python is preferred. Some knowledge of optimization is helpful but not necessary.
Textbooks
No required text. Recommended texts:
- Applied Linear Regression Models, 4th Edition, M. Kutner, C. Nachtsheim & J. Neter, McGraw-Hill Education, 2004
- Class notes and technical journal papers
- Convex Optimization, S. Boyd & L. Vandenberghe, Cambridge University Press, 2004
- Power System Analysis, 4th Edition, J. Grainger & W. Stevenson, McGraw-Hill, 1994
Program Admission
Degree Program Applicants
- Aeronautics & Astronautics
- Autonomy
- Biomedical Engineering
- Civil Engineering
- Doctor of Engineering
- Dual Degree MSE+MBA
- Electrical & Computer Engineering
- Engineering Education
- Industrial Engineering
- Interdisciplinary Engineering
- Internet of Things
- Mechanical Engineering
- Microelectronics & Semiconductors
- Nuclear Engineering
- Robotics
- Software Engineering
- Systems Engineering
Graduate Certificate & Non-Degree Admissions Information
- Non-Degree (Course Only)
- Applied Heat Transfer
- Digital Signal Processing
- Noise Control
- Teaching and Learning in Engineering
- Systems
- Regulatory Affairs and Regulatory Science for Medical Devices
- Graduate Certificate in Microelectronics and Semiconductors
Student Resources
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Your Courses
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Exams
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Instructor Information
Instructor(s)
- Junjie Qin
University Information
Purdue University, 610 Purdue Mall, West Lafayette, IN, 47907
