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Optimal economic control of energy storage systems

Author(s):

Guillermo Ramos de Bueren
Conference/Journal:

Semester Thesis, FS16
Abstract:

The liberalization of electricity markets and the introduction of more renewable energy sources has increased the need of finding efficient optimization techniques for trading electric power. The ability of some systems to store energy opens up new possibilities to adapt the energy supply to the consumer's needs. A very important form of grid energy storage systems are hydroelectric storage systems, in which the energy is stored in form of the potential energy of the water. In this project we model such a system and develop an MPC control scheme to determine optimal arbitrage policies. Moreover, to overcome the uncertainty due to the future unknown spot electricity price, a Markovian price model is implemented based on historical data. This model is later used to implement a scenario-based stochastic MPC controller.

Supervisors: Benjamin Flamm, Marius Schmitt, Paul Beuchat, John Lygeros

Year:

2017
Type of Publication:

(13)Semester/Bachelor Thesis
Supervisor:



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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2017:IFA_5608
}
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