Course Description

This course focuses on the advanced concepts of electric power system management, including the role of technology in transforming the energy sector towards sustainability. Key areas such as smart grids, machine learning applications, power electronics-control, and data-driven decision-making are critically addressed. Participants learn the modeling and control of energy tech, particularly renewable energy systems, for reliable and efficient operations. The course also delves into systemic changes needed in control processes to support flexible and economically viable electricity services.

What Students Will Learn

• Core principles of power systems planning, operations, and management.
• Evolution of current hierarchical control systems to adaptable, integrated service frameworks.
• Enhancement of resilience and energy access leveraging modern grid infrastructures.
• Modeling and controlling renewable energy technologies for sustained efficiency and reliability.
• Application of smart grids, machine learning, and data-driven approaches in power systems.

Prerequisites

To be best prepared for this course, students should have a strong foundation in electrical engineering and computer science principles. Essential prerequisites include:

• Proficiency in English.
• Undergraduate knowledge in physics and basic trigonometry.
• Familiarity with differential equations and electric circuits.

Course Details

• Study of dynamic control systems and power electronics.
• Integration of machine learning techniques with grid management.
• Development of cost-effective storage and integration solutions for energy systems.
• Examination of real-world case studies to understand energy market dynamics and technology incentives.
• Exploration of policies and strategies for increased renewable energy uptake.

Who This Course Is For

This course is designed for a broad audience including:

• New and experienced professionals in energy management and electric power sectors.
• Researchers and engineers focusing on dynamic systems and energy technologies.
• Policy makers and leaders in NGOs working towards sustainable energy policies.
• Academics and students interested in energy system innovation and management.

Application in the Real World

Skills acquired from this course can be applied in several ways:

• Enhancing the efficiency and reliability of power system operations and planning.
• Developing advanced solutions for integrating renewable energy sources into the grid.
• Utilizing data-driven analytics for decision-making in energy distribution and load management.
• Influencing policy and strategic decisions by understanding technological and economic impacts on the power sector.