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Composite Reliability Evaluation of Load Demand Side Management and Dynamic Thermal Rating Systems

Author

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  • Jiashen Teh

    (School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), Nibong Tebal 14300, Penang, Malaysia)

  • Chia Ai Ooi

    (School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), Nibong Tebal 14300, Penang, Malaysia)

  • Yu-Huei Cheng

    (Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan)

  • Muhammad Ammirrul Atiqi Mohd Zainuri

    (School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), Nibong Tebal 14300, Penang, Malaysia)

  • Ching-Ming Lai

    (Department of Vehicle Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-Hsiao E. Road, Taipei 10608, Taiwan)

Abstract

Electric power utilities across the globe are facing higher demand for electricity than ever before, while juggling to balance environmental conservation with transmission corridor expansions. Demand side management (DSM) and dynamic thermal rating systems (DTR) play an important role in alleviating some of the challenges faced by electric power utilities. In this paper, various DSM measures are explored and their interactions with the application of the DTR system in the transmission network are examined. The proposed modelling of DSM in this paper implements load shifting on load demand curves from the system, bus and load sector levels. The correlation effects of line ratings are considered in the DTR system modelling as the weather that influences line ratings is also correlated. The modelling of the line ratings was performed using the time series method, the auto regressive moving average (ARMA) model. Both the DSM and the DTR systems were implemented on the modified IEEE reliability test network. The modification was achieved by developing a load model starting from the perspective of the load sectors at each bus and a new collective hourly load curve for the system was obtained by combining the loads at all buses. Finally, the results in this paper elucidate the interaction of DSM and DTR systems.

Suggested Citation

  • Jiashen Teh & Chia Ai Ooi & Yu-Huei Cheng & Muhammad Ammirrul Atiqi Mohd Zainuri & Ching-Ming Lai, 2018. "Composite Reliability Evaluation of Load Demand Side Management and Dynamic Thermal Rating Systems," Energies, MDPI, vol. 11(2), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:466-:d:132838
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    Citations

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    Cited by:

    1. Hussein Jumma Jabir & Jiashen Teh & Dahaman Ishak & Hamza Abunima, 2018. "Impacts of Demand-Side Management on Electrical Power Systems: A Review," Energies, MDPI, vol. 11(5), pages 1-19, April.
    2. Fan Song & Yanling Wang & Hongbo Yan & Xiaofeng Zhou & Zhiqiang Niu, 2019. "Increasing the Utilization of Transmission Lines Capacity by Quasi-Dynamic Thermal Ratings," Energies, MDPI, vol. 12(5), pages 1-13, February.
    3. Jiashen Teh, 2018. "Adequacy Assessment of Wind Integrated Generating Systems Incorporating Demand Response and Battery Energy Storage System," Energies, MDPI, vol. 11(10), pages 1-12, October.
    4. Mohamad, Farihan & Teh, Jiashen & Lai, Ching-Ming, 2021. "Optimum allocation of battery energy storage systems for power grid enhanced with solar energy," Energy, Elsevier, vol. 223(C).
    5. Hussein Jumma Jabir & Jiashen Teh & Dahaman Ishak & Hamza Abunima, 2018. "Impact of Demand-Side Management on the Reliability of Generation Systems," Energies, MDPI, vol. 11(8), pages 1-20, August.
    6. Ussama Assad & Muhammad Arshad Shehzad Hassan & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods," Energies, MDPI, vol. 15(6), pages 1-36, March.
    7. Zhengwei Shen & Yong Tang & Jun Yi & Changsheng Chen & Bing Zhao & Guangru Zhang, 2019. "Corrective Control by Line Switching for Relieving Voltage Violations Based on A Three-Stage Methodology," Energies, MDPI, vol. 12(7), pages 1-15, March.
    8. Zhao Liu & Honglei Deng & Ruidong Peng & Xiangyang Peng & Rui Wang & Wencheng Zheng & Pengyu Wang & Deming Guo & Gang Liu, 2020. "An Equivalent Heat Transfer Model Instead of Wind Speed Measuring for Dynamic Thermal Rating of Transmission Lines," Energies, MDPI, vol. 13(18), pages 1-18, September.

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