Description:
Optimal decision-making is a must in energy system planning and operation as the non-optimal decisions may lead to high economic losses and/or technical issues. The course on “Advanced Optimization Techniques for Energy Systems Planning and Operation” is aimed at providing an in-depth introduction to energy system optimization methods. The course will contain a wide range of the basic methods to advanced techniques with hand on examples related to energy systems. The participants will learn how to implement the methods using optimization packages such as GAMS and MATLAB.
Syllabus: The course will mainly cover the following subjects
Day 1 (8:30-16:30- both Lecturers)
Introduction to optimization
Linear programming (geometric methods, simplex algorithm, and sensitivity) and duality theories (dual problem, weak duality theory, and strong duality theory)
Decomposition Techniques for LP ( Dantzig Wolfe & Benders)
Day 2 (8:30-16:30- both Lecturers)
2.1. Mixed integer linear programming
2.2. Nonlinear programming (KKT conditions, convexity, duality)
2.3. Application of Metaheuristic Algorithms
Day 3 (8:30-16:30- both Lecturers)
3.1. Multi-objective optimization
3.2. Bi-level programming
3.3. Stochastic Optimization
3.4. Risk Modelling and Management
Prerequisites: Basic knowledge in linear algebra and programming
Form of evaluation: The participants will be evaluated by exercises in a daily basis (both individually and in groups) and a mini-project on the optimization of energy systems at the end of the course.
Intended Audience:
Utility personnel involved in energy system operation, planning and related activities
Power engineers
Policy makers and energy planers
PhD/Guest PhD Students (Engineering, Mathematics, Economics, Planning)
Organizer: Associate Professor, Amjad Anvari-Moghaddam, aam@energy.aau.dk
Lecturers:
Associate Professor Amjad Anvari-Moghaddam – Aalborg University
Professor Behnam Mohammadi-ivatloo – University of Tabriz
ECTS: 3
Time: 9-11 March 2022
Place: AAU Energy - ONLINE
Number of seats: 25
Deadline: 16 February 2022
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Amjad Anvari-Moghaddam
- Teacher: Behnam Mohammadiivatloo