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Events at Department of Energy Technology

Industrial/PhD Course: Advanced Optimization Techniques for Energy Systems Planning and Operation

Time

10.03.2020 kl. 08.30 - 12.03.2020 kl. 16.00

Description

Organizer                                        

Associate Professor Amjad Anvari-Moghaddam – Aalborg University

Lecturers                                                            

Associate Professor Amjad Anvari-Moghaddam – Aalborg University
Postdoc Behnam Mohammadi-ivatloo – Aalborg University

ECTS: 3                        

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)

Registration

https://phd.moodle.aau.dk

Price

6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry.

Host

Department of Energy Technology

Address

Aalborg University, Pontoppidanstræde 101, room 1.015, 9220 Aalborg East