Integration of Dynamic Line Rating within a Risk-Based Security Assessment Framework

Abstract: The following work applies Dynamic Line Rating (DLR) to a Risk-Based SecurityAssessment (RBSA) methodology with the ultimate goal to perform day-aheadforecastanalysis. DLR quantifies transmission capacities of overhead lines whilst beingdependent on ambient conditions. It takes into account variations in its surroundings,therefore making DLR less conservative compared to the traditional worst-casescenario oriented Static Line Rating (SLR). Applying DLR to overhead transmissionlines (OHLs) entails different spans of potential benefits for solving grid exhaustionproblems due to crescent electrical consumptions.The RBSA methodology allows for the assessment of security of power systemoperations in a future state under uncertainties that arise from contingencies andforecast errors, e.g., loads or renewable infeeds. The methodology models inputuncertainty with a copula integration with Monte-Carlo (MC) sampling framework.Several case-studies are executed for the assessment of DLR impacts, especiallycomparing them to SLR through the evaluation of system risk. Two case-studies areperformed for a specific time of the day, one analyzing risk and ratings and the otherconcerning system impacts upon evolution of system forecast uncertainty (SFU) tovalues above day-ahead analysis usual intervals. The following two cases are theextensions to 24 point analyses, with the same goal, although more generalized. Thefinal case study analyzes the economical impact of DLR applications and assesses analternative system configuration behavior. This alternative setup is in constantcomparison with the original configuration used throughout the project, advantagesand drawbacks of both configurations are discussed. Finally, success of thisintegration and assessment of impact and methodology is addressed in the end.