Principles of Modeling, Simulations, and Control for Electric Energy Systems
As global energy demand grows, to mitigate climate change we must drive a swift transition to clean energy resources and enhanced electric power grid infrastructure.
In this course, you will explore systemic principles of future electric power system management, such as the role of smart grids, data-enabled machine learning, power electronics-control, and data-driven decision-making. You will learn how energy technologies, including intermittent renewable energy technologies, can be modeled and controlled at both the component and system level to achieve sustainable, well-functioning, and economically sound results.
You will also learn about assumptions underlying today’s hierarchical control and the innovations needed to support end-to-end flexible efficient electricity services by conventional and new resources. A particular emphasis is on data-enabled distributed cooperative systems solutions.
Throughout, you will examine examples of real-world industry problems and solutions, such as methods for achieving stable integration of diverse power resources, demand response, and fast storage at reasonable cost. Modeling can be used for developing the next generation software needed to operate these systems, and for implementing incentives for new technologies in electric energy markets.
Upcoming start dates
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- Virtual Classroom
Who should attend?
- This course was designed for students from various disciplines, but its core concepts are rooted in electrical engineering and computer science.
- Learners should have strong English language skills, an undergraduate-level study of physics, and undergraduate-level study of trigonometry and ordinary differential equations.
- A basic understanding of electric circuits and networks is helpful.
Course delivery details
This course is offered through Massachusetts Institute of Technology, a partner institute of EdX.
8-12 hours per week
- Verified Track -$149
- Audit Track - Free
Certification / Credits
What you'll learn
In this course, you will learn:
- fundamental concepts for power systems planning, operations, and management
- what may not work when using today’s hierarchical control and how to evolve it into flexible end-to-end electricity service
- strategies for building resilience and enhancing energy access using existing grid infrastructure
- how energy technologies, including intermittent renewable energy technologies, can be modeled and controlled at both the component and system level to ensure reliability and efficiency
- the role of smart grids, data-enabled machine learning, power electronics-control, and data-driven decision-making in sustainable electric energy grids
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