A Distributed Generation Control Architecture for Small-Footprint Power Systems

Cady, Stanton T.; Domínguez-García, Alejandro D.; Hadjicostis, Christoforos N.

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https://hdl.handle.net/2142/90439 Copy

Description

Title

A Distributed Generation Control Architecture for Small-Footprint Power Systems

Author(s)

• Cady, Stanton T.
• Domínguez-García, Alejandro D.
• Hadjicostis, Christoforos N.

Issue Date

2013-07

Keyword(s)

• Distributed Energy Resources (DERs)
• Distributed control
• Iterative algorithms
• Microgrid

Abstract

We propose a distributed architecture for generation control in small-footprint power systems. Although they are smaller and have lower ratings, the generation control objectives for a small-footprint power system are similar to those in larger counterparts, e.g., bulk-power transmission networks. However, in large power systems, the implementation of the generation control functions is centralized, i.e., there is a computer that resides in a centralized location, e.g., a control center, with measurements and control signals telemetered to and from the generating units and the centrally located computer. The architecture for generation control that we propose in this paper does not rely on such a centrally located computer. Instead, the implementation of the control functions is distributed and relies on low-complexity iterative algorithms that only use local measurements and certain information acquired through exchange of information with neighboring generating units. We provide analytical and experimental results that verify the effectiveness of the proposed generation control architecture for generation control in small-footprint power systems, and illustrate the performance of the aforementioned distributed algorithms under a variety of scenarios.

Publisher

Coordinated Science Laboratory, University of Illinois at Urbana-Champaign

Series/Report Name or Number

Coordinated Science Laboratory Report no. UILU-ENG-13-2206

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/90439

Sponsor(s)/Grant Number(s)

ECCS-CPS-1135598 (NSF); INFSO-ICT-223844 and PIRG02-GA-2007-224877 (EC)

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