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University of Groningen Distributed Control, Optimization, Coordination of Smart Microgrids Silani, Amirreza

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University of Groningen

Distributed Control, Optimization, Coordination of Smart Microgrids Silani, Amirreza

DOI:

10.33612/diss.156215621

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2021

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Silani, A. (2021). Distributed Control, Optimization, Coordination of Smart Microgrids: Passivity, Output Regulation, Time-Varying and Stochastic Loads. University of Groningen.

https://doi.org/10.33612/diss.156215621

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Propositions

belonging to the thesis entitled

Distributed Control, Optimization, Coordination

of Smart Microgrids

Passivity, Output Regulation, Time-Varying and Stochastic Loads

by

Amirreza Silani

1. The resilience and reliability of the power grid may benefit from the design and analysis of control strategies that theoretically guarantee the system stability in presence of

time-varying or stochastic loads and renewable sources. (This thesis)

2. If each component of the ZIP load in DC power networks is modeled as the sum of an unknown constant and the solution to a stochastic differential equation, the Ito calculus framework shows the stochastic passivity and stability of the network. (Chapter 3) 3. The (robust) output regulation methodology is useful for designing the control schemes

achieving voltage regulation and ensuring the stability of DC and AC networks affected by time-varying loads. (Chapters 4, 5 and 6)

4. The underlying power distribution network, its constraints and practical models for the loads should be considered for designing distributed energy management strategies in microgrids. (Chapter 7)

5. Smart charging of EVs can potentially provide flexibility to address the stability challenges in the power network. However, the social behavior of EVs, i.e., the extent to which EV drivers are willing to use smart charging, is a vital aspect that should be taken into account in the power network. (Chapter 8)

6. Nonconvex optimization methods are useful tools to design energy management strategies considering nonconvex constraints in the network.

7. A successful research is like conquering the summit of a mountain not multiple hills. 8. Experience is more important than science. (Avicenna, a Persian physician and

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