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.
|Publication status||Published - 10 Jun 2013|
|Event||CIRED 2013, 22nd International Conference on Electricity Distribution - Stockholm, Sweden|
Duration: 10 Jun 2013 → 13 Jun 2013
|Conference||CIRED 2013, 22nd International Conference on Electricity Distribution|
|Period||10/06/13 → 13/06/13|
- active network management
- power flow management
- constraint satisfaction
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.