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

Alberto Venturi, Michael James Dolan, Paul Clarkson, Paul Wright, Alistair Forbes, Xin-She Yang, Andrew Roscoe, Graham Ault, Graeme Burt

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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 Micro-Grid 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 show 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.
Original languageEnglish
Publication statusPublished - 10 Jun 2013
EventCIRED 2013, 22nd International Conference on Electricity Distribution - Stockholm, Sweden
Duration: 10 Jun 201313 Jun 2013

Conference

ConferenceCIRED 2013, 22nd International Conference on Electricity Distribution
CountrySweden
CityStockholm
Period10/06/1313/06/13

Keywords

  • active network management
  • power flow management
  • constraint satisfaction

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    Venturi, A., Dolan, M. J., Clarkson, P., Wright, P., Forbes, A., Yang, X-S., ... Burt, G. (2013). Evaluating the robustness of an active network management function in an operational environment. Paper presented at CIRED 2013, 22nd International Conference on Electricity Distribution, Stockholm, Sweden.