Evaluating the robustness of an active network management function in an operational environment

Author

Venturi, Alberto ; Dolan, Michael J. ; Clarkson, P. John ; Wright, Paul ; Forbes, A. ; Xin-She Yang ; Roscoe, Andrew J. ; Ault, Graham W. ; Burt, Graeme M.

Author_Institution

Univ. of Strathclyde, Glasgow, UK

fYear

213

fDate

10-13 June 213

Firstpage

1

Lastpage

4

Abstract

This paper presents the integration process of a distribution network Active Network Management (ANM) function within an operational environment in the form of a MicroGrid Laboratory. This enables emulation of a real power network and enables investigation into the effects of data uncertainty on an online and automatic ANM algorithm´s control decisions. The algorithm implemented within the operational environment is a Power Flow Management (PFM) approach based around the Constraint Satisfaction Problem (CSP). This paper shows the impact of increasing uncertainty, in the input data available for an ANM scheme in terms of the variation in control actions. The inclusion of a State Estimator (SE), with known tolerances is shown to improve the ANM performance.

Keywords

constraint satisfaction problems; distributed power generation; distribution networks; load flow; power system management; power system state estimation; robust control; ANM algorithm; CSP; PFM; SE; active network management function; constraint satisfaction problem; data uncertainty; distribution power network; integration process; microgrid laboratory; operational environment; power flow management approach; robustness evaluation; state estimator;

fLanguage

English

Publisher

iet

Conference_Titel

Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on

Conference_Location

Stockholm

Electronic_ISBN

978-1-84919-732-8

Type

conf

DOI

10.1049/cp.2013.0782

Filename

6683385