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.

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

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