Prospects of Using the Dynamic Thermal Rating System for Reliable Electrical Networks: A Review
Jiashen Teh,Ching-Ming Lai,Nor Asiah Muhamad,Chia Ai Ooi,Yu-Huei Cheng,Muhammad Ammirrul Atiqi Mohd Zainuri,Mohamad Khairi Ishak +6 more
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This review paper begins by comparing the two main D TR system standards, then, monitoring technologies of the DTR system are reviewed and notable research on the reliability impacts of theDTR system on electrical networks are surveyed.Abstract:
Traditional transmission line ratings are limited by a set of fixed conservative weather assumptions that are also known as static thermal rating (STR). Owing to STR, new line corridors are continuously required to address increasing electricity demands while minimizing the curtailment of renewable energy sources (RES). However, the expansion of an electricity network is expansive, long, and limited due to the scarcity in land and space. To overcome this issue, researchers have proposed a dynamic thermal rating (DTR) system that can increase the capacity of existing transmission lines. Research has shown that actual line ratings are higher than STR most of the time. The potential of using the DTR system to increase the reliability of power systems is therefore significant. Almost every country has begun the process of increasing the integration of RES, and consequently, the DTR system has become increasingly important. Exploring and reviewing critical studies on the DTR system are thus beneficial for researchers who are interested in the developments of DTR technology. This review paper begins by comparing the two main DTR system standards. Then, monitoring technologies of the DTR system are reviewed. Notable research on the reliability impacts of the DTR system on electrical networks are surveyed. Interactions with wind power and other smart grid technologies are also examined, and the concept of power system reliability is briefly discussed.read more
Citations
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Reliability impacts of the dynamic thermal rating and battery energy storage systems on wind-integrated power networks
Jiashen Teh,Ching-Ming Lai +1 more
TL;DR: In this paper, the authors present for the first time the reliability modelling of battery energy storage systems and dynamic thermal rating (DTR) systems for wind energy in power networks, and the results show that both systems can lower demand losses and increase the saved, supported and delivered wind energy depending on the settings of the two systems.
Journal ArticleDOI
Optimum allocation of battery energy storage systems for power grid enhanced with solar energy
TL;DR: A method is proposed that optimally deployed BESSs and determined their capacity in a two-part framework to minimize solar energy curtailment, by considering network topology and power flow constraints and demonstrates that it manages to store more surplus solar power.
Journal ArticleDOI
Probabilistic Peak Demand Matching by Battery Energy Storage Alongside Dynamic Thermal Ratings and Demand Response for Enhanced Network Reliability
Mohamed K. Metwaly,Jiashen Teh +1 more
TL;DR: The results show that the security of power supply improves along with BESS sizing by as much as 37.2%, and that its reliability becomes more significant as its capability grows, with bigger BESS having more detrimental effects towards EENS as it becomes unavailable than smaller BESS does.
Journal ArticleDOI
Network topology optimisation based on dynamic thermal rating and battery storage systems for improved wind penetration and reliability
Ching-Ming Lai,Jiashen Teh +1 more
TL;DR: An assessment framework is presented that combines all the three methods in a single model to evaluate their synergistic effects on wind integration and network reliability and shows that the proposed combination of methods reduces system dispatch, load curtailment and wind curtailment costs the most.
Journal ArticleDOI
Network topology optimisation based on dynamic thermal rating and battery storage systems for improved wind penetration and reliability
TL;DR: In this article , the authors present an assessment framework that combines all the three methods in a single model to evaluate their synergistic effects on wind integration and network reliability, and show that the proposed combination of methods reduce system dispatch, load curtailment and wind curtailment costs the most when compared to any combinations with fewer methods or using each method in isolation.
References
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