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EPE/EJ3420 Seminar 5: PhD 30 % seminar on ‘A Robust Optimization Method for Hydropower Planning and Operation’

Time: Wed 2020-10-28 13.30 - 14.30

Lecturer: Abolfazl Khodadadi, KTH Royal Institute of Technology

Location: https://kth-se.zoom.us/j/62877228672

Title: PhD 30 % seminar on ‘A Robust Optimization Method for Hydropower Planning and Operation’

Abstract:

Sweden and many other countries are moving towards an electricity system with a large proportion of solar and wind power. These types of power have a varying production and production must be continuously balanced. The balancing takes place in Sweden and the Nordic region, preferably with hydropower, but it is not always in the same area as the variation caused by wind power and electricity consumption. A challenge in this context is how the market should be designed in detail and how the owners of the hydropower plants will run their works.

In this seminar, the optimal planning and operation of the hydropower plants owners in the case of uncertain price, balancing market active time and wind power forecasts are investigated. The approach toward this problem is the application of stochastic adaptive robust optimization (SARO) in the main formulation. The results show the applicability of the proposed framework to account for the uncertainties in the system.

Bio:

He received the B.Sc. degree in Electric Power Engineering from the Isfahan University of Technology, Isfahan, Iran, and the M.Sc. degree (First Rank) in Power System Engineering from Amirkabir University of Technology, Tehran, Iran, in 2014 and 2017, respectively. As of April 2019, he is with the division of electric power and energy systems (EPE) at KTH Royal Institute of Technology, Stockholm, Sweden, where he works towards the Ph.D. degree.
His current research interests include hydropower generation scheduling, stochastic planning of hydropower production and analysis of various electricity market structures. Besides, he has prior practical and theoretical expertise in power system dynamics, control and parameter estimation of hydro, thermal and combined-cycle power plants.

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Belongs to: Electric Power and Energy Systems
Last changed: Oct 14, 2020