PROJECT TITLE :

Power Network Reliability Evaluation Framework Considering OHL Electro-Thermal Design

ABSTRACT:

Utilities regularly investigate ways that to optimize the utilization of their existing plant and improve their network's flexibility and resiliency to future uncertainties. With respect to overhead lines (OHL), sensible grid solutions aim to extend adequacy through the implementation of probabilistic thermal rating (PTR), dynamic thermal rating (DTR) or novel hot temperature low sag (HTLS) conductor technologies. At present, the risks related to those explicit solutions, both for the OHL plant and the facility network, aren't quantified. This paper presents a unique methodology for power network reliability analysis that integrates a network level sequential Monte Carlo algorithm with an in depth modeling of OHL. This integration facilitates a holistic evaluation of power network reliability as it considers the properties of OHL style technologies and their associated ageing risks. Consequently, the network performance (adequacy) and plant risks (ageing) introduced by increased OHL capacities through PTR, DTR, and HTLS solutions can be objectively quantified. An application of the methodology is demonstrated using the IEEE-RTS 96 network that is assessed considering PTR-based mostly OHL capacities.