Probabilistic Evaluation of Static, Dynamic and Cyclic Thermal Rating Constraints for Hosting Capacity Analysis

Abstract

This paper compares and discusses one deterministic approach for evaluating thermal ratings of network components (static thermal rating, STR), and two probabilistic approaches (dynamic thermal rating, DTR, and cyclic thermal rating, CTR). The deterministic STR and probabilistic DTR and CTR values of an overhead line (OHL) and transformer in the IEEE 33-bus test network are calculated using recorded weather data (including renewable energy resources) and typical load and generation profiles. The STR, DTR and CTR values are then used as the constraints for determining locational network hosting capacity (HC) for the connection of wind and photovoltaic (PV) distributed generation (WDG and PVDG). The presented results illustrate differences in obtaining thermal ratings of OHL and transformer with different approaches, as well as significantly different conditions for evaluating network HC for WDG and PVDG.