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ELEC70112 Models for Techno-Economically Optimal Power System Expansion


Lecturer(s): Dr Elina Spyrou; Prof Mark O'Malley

Aims

This course presents fundamental concepts of power system planning with a focus on modeling/mathematical programming. The course has three parts. The first part discusses the role of modeling in energy policy analysis and decision making, objectives for power system planning, and the trade-offs between competing objectives. The second part focuses on uncertainty modeling, frameworks for risk management, stochastic programming, and robust optimization. Last, the course concludes with an overview of capacity markets & resource adequacy methods and challenges to be addressed on the way to net zero energy systems.

Learning Outcomes

On successfully completing this module, you should be better able to:
• Recommend models and metrics for energy policy analysis and power system planning
• Modify power system planning models to add new features, required for integration of emerging resources and risk management
• Assess alternative approaches for incorporating risk in power system planning
• Critique suggested changes in capacity markets/resource adequacy for future systems

Syllabus

The module has three parts.
Part I: Multi-objective power system planning
• Role of modeling in planning
• Power system planning as an optimization problem
• Multi-objective programming
Part II: Planning under uncertainty
• Stochastic Programming
• Robust Optimization
• Risk Measures
Part III: Capacity markets & resource adequacy:
• Functions of capacity markets & resource adequacy processes
• Enhancements to capacity markets & resource adequacy processes for net zero power systems
Assessment
Exam Duration: N/A
Exam contribution: 65%
Coursework contribution: 35%

Term: Spring

Closed or Open Book (end of year exam): N/A

Coursework Requirement:
         N/A

Oral Exam Required (as final assessment): N/A

Prerequisite module(s): None required

Course Homepage: unavailable

Book List: