Fall23 Offering
EN.520.653: Dynamics & Control of Modern Power Systems
Graduate Students
Course Description
This course covers the fundamental theory of dynamic analysis and control of modern power systems. Topics include mathematical modeling of large-scale power systems, linear and nonlinear system theory (for example, Lyapunov stability, bifurcation), small- and large-disturbance analysis, and voltage stability and control. Furthermore, various emerging challenges and opportunities in future low-inertia power systems are discussed. Selective topics include inverter-based resources (IBRs), renewable generation, system resilience, advanced control strategies, and smart grid technologies. Some unique perspectives are provided, such as limit-induced bifurcation, trajectory sensitivity, and hybrid dynamics.
This course entails a relatively heavy emphasis on mathematical analysis and proof. Sufficient mathematical maturity is expected from the students.
There will be in-class group discussions on research papers. Students will complete an individual term project that focuses on a research question related to the class topics.
Prequisites
- Required: Calculus I, II & III, Control Systems (EN.520.353 or the equivalent). Solid knowledge on electric circuits, complex variables, ordinary differential equations, and linear algebra. Familiar with MATLAB programming.
- Preferred: Energy Systems (EN.560.649 or the equivalent), Introduction to Linear Systems Theory (EN.530.616 or the equivalent).
Principle Course Modules
- Module 1: Introduction to power system dynamics and control.
- Module 2: Power flow analysis
- Module 3: Stability concepts
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Module 4: Small disturbance (linear) analysis
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Module 5: Large disturbance analysis: Analytical
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Module 6: Large disturbance analysis: Numerical
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Module 7: Modeling and control: Inverter-based resource
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Module 8: Modeling and control: Synchronous machine
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Module 9: Emerging topics (paper discussion)
Course Objectives
Some specific outcomes for this course include:
- Students will grasp the methodologies of modeling, analysis and control of dynamical systems, including both linear and nonlinear systems.
- Students will gain a thorough understanding of power system engineering.
- Students will have a good understanding of the challenges and opportunities that arise during the energy transition to future low-inertia (renewable) power systems.
- Students will be able to evaluate research papers and propose research questions.
- Students will improve their abilities to engage in collaborative work, discussion, and presentation.