DTU Summer School 2016

Uncertainty in Electricity Markets and System Operation

Lyngby, Denmark

4th-8th July 2016

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Context

Europe has set ambitious targets for renewable energy, with several European countries are already nearing the 2050 goal of 50% penetration. With greater reliance on renewable energy comes a need to represent and proactively handle their uncertainty and intermittency. To meet this challenge, several new market and operational designs have been put forth, based on explicitly including renewable uncertainty in the market clearing or operational formulation.

This summer school aims to give participants practical experience with these methods, enabling the participant to design and implement them, and analyze their outcomes. The summer school focuses on three methods in particular; stochastic, robust and interval optimization. As these methods typically require solving large optimization problems, techniques for decomposing large-scale problems are also introduced.

Programme description

Participants of the course will:

  • Gain practical experience with stochastic, robust and interval optimization and decomposition techniques applied to energy systems
  • See relevant examples of these techniques used in cutting-edge research
  • Sharpen their peer review and feedback skills by reviewing other participants’ work

Students are expected to have experience with formulating and implementing optimization problems (e.g. in GAMS, Python or Matlab). Experience with power system operation and/or electricity market clearing will make the sessions easier to follow.

The course is divided into three main activities. The first two days comprise tutorial sessions introducing relevant techniques. Then, the morning sessions of the third and fourth days consist of presentations on the use of these techniques in energy applications.
Finally, for the remainder of the time course participants apply a chosen technique to a case study, presenting their findings on the last day for peer review.

Contact and registration

Application deadline: 1st June, 2016.

Registration is open to all: MSc students, Phd students and industrial participants.
Limited slots are available.

Fees:

  • Students and EES-UETP members: EUR 500
  • Non-students: EUR 850

Fees cover breakfast, lunch and social events.
Accommodation from Sunday 3rd of July to the morning of Sunday 10th of July is available for and additional fee of EUR 100.

For more information or to register for the summer school, please contact us at cee-summerschool@elektro.dtu.dk . One may also directly register at the following link: http://www.tilmeld.dk/cee-summerschool

Schedule

The times given below are approximate and subject to change.

Monday
8-10 Introductory session Pierre Pinson DTU
10-12 Robust and interval optimization Hrvoje Pandžić University of Zagreb
12-14 Lunch
14-16 Robust and interval optimization Hrvoje Pandžić University of Zagreb
16-18 Decomposition Techniques I Jalal Kazempour DTU
18-? Social dinner
Tuesday
8-10 Stochastic optimization Georg Pflug University of Vienna
10-12 Stochastic optimization Georg Pflug University of Vienna
12-14 Lunch
14-16 Stochastic optimization Georg Pflug University of Vienna
16-18 Decomposition Techniques II Jalal Kazempour DTU
Wednesday
8:30-9:30 TBA José Manuel Arroyo Universidad Castilla-La Mancha
9:45-10:45 TBA Mohammad Shahidehpour Illinois Institute of Technology
11-12 TBA Anthony Papavasiliou Université Catholique de Louvain
12-14 Lunch
14-18 Project session
Thursday
8:30-9:30 TBA Juan-Miguel Morales DTU
9:45-10:45 TBA Miguel Anjos Polytechnique Monréal
11-12 TBA Salvador Pineda University of Copenhagen
12-14 Lunch
14-18 Project session
Friday
9-10 Final project preparation
10-12 Peer review session I
12-14 Lunch
14-16 Peer review session II
16-17 Concluding session
17-? Social event

Impact

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IEEE Transactions on Power Systems

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