Jiashen Teh

Reliability Impact of Dynamic Thermal Rating System in Wind Power Integrated Network

Electrical networks across the globe are gearing towards environmentally friendly operation with many renewable sources being introduced. Among them, the popularity of electrical generation by wind has gained the most ground. Wind, as one of the meteorological conditions, also has high influence on line ratings and such manner of operating the line is known as dynamic thermal rating (DTR) system. Seeing this relationship, it is intuitively important to investigate the reliability of a electrical network incorporating DTR and wind farm. Hence, the objective of this paper is to propose a methodology that can perform this task. In the methodology, sequential Monte Carlo (SMC) simulation was performed due to time dependencies of line ratings and wind power. As a result, modeling of these time-series data was performed using the auto-regressive and moving-average (ARMA) model. Moreover, correlations between line rating and wind power were also considered to provide a practical approach to the modeling. Results have shown that DTR system is able to increase network reliability and allows for higher wind energy penetration.

Impact of the Real-Time Thermal Loading on the Bulk Electric System Reliability

This paper presents a transmission line failure model that is enhanced with the dynamic thermal rating (DTR) system. The failure model consists of two parts. The first part is the Arrhenius model and it considers the loading effect of the DTR system as a result of operating at a higher temperature than the static thermal rating system. The second part is the Weibull model and it considers the end-of-life (natural ageing) failure effect of the transmission line. The proposed model is compared with the normal distribution model that considers only the end-of-life failure effect of the transmission line. This paper also investigates the uncertainty effects of the line failure model parameters, effects of the DTR system reliability, and the effects of the weather data correlation on the reliability performance of the power system. The proposed methodology and case studies were performed on the IEEE-reliability test network.

Impact of DTR system on the tranmission line reliability model

This paper presents the joint Arrhenius-Weibull model as a new transmission line failure model as a result of operating under higher loading temperature due to DTR system application. The proposed model takes into account the effects of the line natural ageing (end-of-life) and its operation at higher loading temperature. The proposed model is compared with the conventional line ageing model that is implemented through the normal distribution. Case studies are performed on the IEEE-reliability test network (RTN). The results show that our proposed model provides a reliability evaluation that is more realistic and not overly optimistic.