Next Article in Journal
Experimental Determination of Gas Relative Permeability Considering Slippage Effect in a Tight Formation
Previous Article in Journal
PV Hosting Capacity Dependence on Harmonic Voltage Distortion in Low-Voltage Grids: Model Validation with Experimental Data
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Energies 2018, 11(2), 466;

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

School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), Nibong Tebal 14300, Penang, Malaysia
Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan
Department of Vehicle Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-Hsiao E. Road, Taipei 10608, Taiwan
Author to whom correspondence should be addressed.
Received: 23 January 2018 / Revised: 9 February 2018 / Accepted: 9 February 2018 / Published: 23 February 2018
(This article belongs to the Section Electrical Power and Energy System)
Full-Text   |   PDF [3149 KB, uploaded 23 February 2018]   |  


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. View Full-Text
Keywords: dynamic thermal rating; demand side management; reliability; Monte Carlo dynamic thermal rating; demand side management; reliability; Monte Carlo

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Teh, J.; Ooi, C.A.; Cheng, Y.-H.; Atiqi Mohd Zainuri, M.A.; Lai, C.-M. Composite Reliability Evaluation of Load Demand Side Management and Dynamic Thermal Rating Systems. Energies 2018, 11, 466.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top