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10 Modules / ~100 pages
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~25 Modules / ~400 pages

Optimization Algorithms for Energy Storage
( 30 Modules )

Module #1
Introduction to Energy Storage
Overview of energy storage systems, importance of optimization, and course objectives
Module #2
Energy Storage Systems
Types of energy storage systems (batteries, pumped hydro, etc.), characteristics, and applications
Module #3
Optimization Fundamentals
Introduction to optimization, types of optimization problems, and optimization algorithms
Module #4
Linear Programming
Introduction to linear programming, formulation, and solution methods
Module #5
Integer Programming
Introduction to integer programming, formulation, and solution methods
Module #6
Dynamic Programming
Introduction to dynamic programming, formulation, and solution methods
Module #7
Convex Optimization
Introduction to convex optimization, convex sets, and convex functions
Module #8
Optimization for Energy Storage Sizing
Optimization algorithms for sizing energy storage systems
Module #9
Optimization for Energy Storage Operation
Optimization algorithms for operating energy storage systems
Module #10
Model Predictive Control
Introduction to model predictive control and its application to energy storage systems
Module #11
Stochastic Optimization
Introduction to stochastic optimization and its application to energy storage systems
Module #12
Metaheuristics
Introduction to metaheuristics, including simulated annealing and genetic algorithms
Module #13
Heuristics for Energy Storage
Heuristics for energy storage systems, including rule-based and machine learning-based approaches
Module #14
Case Study:Optimal Sizing of Energy Storage for Renewable Energy Systems
Application of optimization algorithms to a case study on optimal sizing of energy storage for renewable energy systems
Module #15
Case Study:Optimal Operation of Energy Storage for Peak Shaving
Application of optimization algorithms to a case study on optimal operation of energy storage for peak shaving
Module #16
Energy Storage System Modeling
Modeling energy storage systems, including electrical and thermal models
Module #17
Uncertainty Quantification
Uncertainty quantification in energy storage systems, including probabilistic and sensitivity analysis
Module #18
Advanced Topics in Optimization for Energy Storage
Advanced topics, including multi-objective optimization, robust optimization, and online optimization
Module #19
Software Tools for Optimization
Overview of software tools for optimization, including Pyomo, CVXPY, and Gurobi
Module #20
Hands-on Exercise:Optimization for Energy Storage
Hands-on exercise using software tools to solve an optimization problem for energy storage
Module #21
Energy Storage System Design and Implementation
Design and implementation considerations for energy storage systems
Module #22
Economic and Environmental Impact of Energy Storage
Economic and environmental impact of energy storage systems, including cost-benefit analysis and life cycle assessment
Module #23
Case Study:Optimal Design of Energy Storage Systems for Microgrids
Application of optimization algorithms to a case study on optimal design of energy storage systems for microgrids
Module #24
Case Study:Optimal Operation of Energy Storage Systems for Ancillary Services
Application of optimization algorithms to a case study on optimal operation of energy storage systems for ancillary services
Module #25
Research and Development in Optimization for Energy Storage
Overview of current research and development in optimization for energy storage, including emerging trends and future directions
Module #26
Challenges and Opportunities in Optimization for Energy Storage
Challenges and opportunities in optimization for energy storage, including scalability, data quality, and standardization
Module #27
Industry Applications and Use Cases
Industry applications and use cases of optimization algorithms for energy storage, including utility-scale, commercial, and residential applications
Module #28
Regulatory and Policy Frameworks
Regulatory and policy frameworks for energy storage systems, including incentives, tariffs, and standards
Module #29
Conclusion and Future Directions
Conclusion of the course, summary of key takeaways, and future directions in optimization for energy storage
Module #30
Course Wrap-Up & Conclusion
Planning next steps in Optimization Algorithms for Energy Storage career


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