A Method for Power System Reliability Enhancement Considering Optimal Transmission Switching and Dynamic Line Thermal Rating

Authors

  • Md Hasan Anowar Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

DOI:

https://doi.org/10.37591/.v8i3.1155

Abstract

In the power industry, the focus has been almost exclusively on implementing equipment that can keep the power system reliable. With the growth of renewable energy, resource integration, system load uncertainties, and volatile weather conditions, electric utilities are faced with an increasingly complex and uncertain operating environment. Utilities are in need of a series of cost-effective technologies which allow them to operate power systems more economically and reliably. Due to the huge investment needed to build new power delivery facilities, cost-effective solutions such as new operational strategies are becoming more attractive in the recent years. This paper aims to study the use of optimal transmission switching (OTS) and dynamic thermal rating (DTR) as a potential solution to improve the power system reliability. Simulations are conducted on a modified reliability test system (MRTS) using MATLAB and CPLEX. The results have demonstrated great enhancements in service reliability when both OTS and DTR are realized.


Keywords: Power system reliability, optimal transmission switching, dynamic thermal rating, power flow analysis, mixed integer linear programming

Cite this Artcle
Md Hasan Anowar. A Method for Power System Reliability Enhancement Considering Optimal Transmission Switching and Dynamic Line Thermal Rating. Journal of Power Electronics & Power Systems. 2018; 8(3): 1–8p.


Author Biography

  • Md Hasan Anowar, Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
    MSc Student, Department of EEE, Bangladesh University of Engineering and Technology (BUET)

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Published

2018-11-29

Issue

Vol. 8 No. 3 (2018)

Section

Research Article

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