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Distributed Control and Optimization in DC Microgrids


P. Nahata

Semester Thesis, HS14 (10442)

Microgrids o er several advantages over conventional electrical power networks. Due to localized generation and compatibility with various renewable sources, they ensure clean high quality power without signi cant transmission losses. As a substantial proportion of electronic loads are DC, such microgrids hold tremendous promise. In this semester project, we obtain the dynamic model of DC microgrid using the resistive-inductive-capacitive-pi model of power lines and propose a decentralized voltage droop control strategy. The primary droop control strategy achieves fair and stable load sharing but also induces a steady-state voltage drift. We further demonstrate that the gains of the droop controller and the time constant of the power line determine the rate of convergence and damping in the network. To eliminate this steadystate error, we propose and analyze two secondary control strategies. A purely decentralized secondary integral control strategy successfully compensates for the steady-state voltage drifts but fails to achieve proportional and optimal load sharing. To recover these optimal injections, a consensus lter with source communication in addition to the decentralized integral controller is suggested.

Supervisors: Bala Kameshwar Poolla, Florian Dörfler


Type of Publication:

(13)Semester/Bachelor Thesis

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2015:IFA_5155
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