# Teaching

### EL1002: Introduction to Smart Grids

- Offered: 2023 Spring, 2024 Spring
This course is designed to guide students through the basic concepts of the electric power grid and introduce emerging technologies to make the modern power grid more clean, efficient, and reliable. The course is composed of multiple sections and there will be a couple of lectures for each topic followed by a toy example and a group project.

There is no preliminary knowledge required for this course. However, some coding techniques will be needed to carry out course projects. All examples will be given in Julia Programming Language.

Learning objectives

Learn basic power grid structure

Understand the status quo of power systems

Explore recent development in smart grid technologies

Develop basic models to simulate smart grid technologies

Learn how to translate acquired knowledge into engineering models

Develop skills in academic communication in scientific societies

There is no required textbook for this class. Some references that may be useful are:

Arthur R. Bergen, and Vijay Vittal, "Power systems analysis". Prentice Hall. 2000.

Kirschen, Daniel S., and Goran Strbac. "Fundamentals of power system economics". John Wiley & Sons, 2018.

Wood, Allen J,, Bruce F. Wollenberg, and Gerald B. Sheble. "Power generation, operation, and control, John Wiley & Sons. 2015

Image Source: IEEE innovation at work

### EE5404: Power System Economics

- Offered: 2023 Fall
This course will teach fundamental knowledge of power system economics and some useful mathematical tools that are used in modern power system planning, such as optimal power flow and unit commitment. These tools will be discussed in the context of deregulated electricity markets with renewables, demand response (smart appliances, electric vehicles), and energy storage resources. We will use mathematical modeling to characterize the unique features of these resources (stochasticity, limited controllability, etc.) in order to integrate them with the aforementioned planning tools and analyze their impact on electricity markets. Finally, we will study methods to optimize investments in power system assets (generators, transmission lines, and energy storage) to ensure the long-term sustainability of the power system sector.

This course is composed of two parts:

In the first part, we will cover the fundamental knowledge of power system economics based on Kirschen & Strbac's textbook. This part will be based on lectures along with homework, followed by the exam. Throughout the first part, students will be able to capture the basic principles of electricity markets.

In the second part, students will carry out research projects. In the first lecture of the second part, students will team up and select project topics under the professor's guidance. In the following lectures, students will share their progress and receive feedback from the instructor. There will be two submissions for the project. On the third week of the second part, students will submit a progress report on the final project. In the last week, students will conduct a presentation and submit a final report.

Textbook and references:

Kirschen, Daniel S., and Goran Strbac. "Fundamentals of power system economics". John Wiley & Sons, 2018.

Wood, Allen J,, Bruce F. Wollenberg, and Gerald B. Sheble. "Power generation, operation, and control, John Wiley & Sons. 2015

A. Conejo, Decision Making Under Uncertainty in Electricity Markets, Springer, 2010.

State-of-the-art papers in IEEE Transactions on Power Systems