Determination of transmission reliability margin for brownout

Awatif Nadia; Md. Sanwar Hossain; Md. Mehedi Hasan; Sinthia Afrin; Md Shafiullah; Md. Biplob Hossain; Khondoker Ziaul Islam; Awatif Nadia; Md. Sanwar Hossain; Md. Mehedi Hasan; Sinthia Afrin; Md Shafiullah; Md. Biplob Hossain; Khondoker Ziaul Islam

doi:10.3934/energy.2021046

AIMS Energy

2021, Volume 9, Issue 5: 1009-1026. doi: 10.3934/energy.2021046

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Research article Special Issues

Determination of transmission reliability margin for brownout

1.
Department of Electrical, Electronic & Communication Engineering, Military Institute of Science and Technology, Dhaka-1216, Bangladesh
2.
Department of Electrical and Electronic Engineering, Bangladesh University of Business and Technology, Dhaka-1216, Bangladesh
3.
Department of Electrical and Electronic Engineering, Green University of Bangladesh, Dhaka-1216, Bangladesh
4.
Interdisciplinary Research Center for Renewable Energy and Power Systems, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
5.
Department of Electrical and Electronic Engineering, Jashore University of Science and Technology, Jashore-7408, Bangladesh
6.
Information Technology, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia

Received: 23 May 2021 Accepted: 25 August 2021 Published: 02 September 2021

Power shortage is a severe problem in developing countries that are rolling to blackout, but today smart grids have the scope to avoid entire blackouts by transforming them into brownouts. A brownout is an under-voltage condition where the AC supply drops below the nominal value (120 V or 220 V) by about 10%. In a power system network, power shortages or disturbances can occur at any time, and the reliability margin analysis is essential to maintain the stability of the system. Transmission reliability margin (TRM) is a margin that keeps the network secure during any occurrence of disturbance. This paper presents a new approach to compute TRM in the case of brownout. The detailed assessment of TRM largely depends on the estimation of the available transfer power (ATC). In this method, the ATC of the system is calculated considering the effect of alternating current (AC) and direct current (DC) reactive power (Q) flow (DCQF). The entire procedure is carried out for the multi-transaction IEEE-6 bus system, and the results are compared to the current efficiency justification method. Numerical results demonstrate that the proposed technique is an effective alternative for calculating the TRM and is valid compared to the existing technique.
- transmission reliability margin,
- available transfer capability,
- brownout,
- sensitivity of ATC (SATC),
- gamma distribution
Citation: Awatif Nadia, Md. Sanwar Hossain, Md. Mehedi Hasan, Sinthia Afrin, Md Shafiullah, Md. Biplob Hossain, Khondoker Ziaul Islam. Determination of transmission reliability margin for brownout[J]. AIMS Energy, 2021, 9(5): 1009-1026. doi: 10.3934/energy.2021046

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Abstract

Power shortage is a severe problem in developing countries that are rolling to blackout, but today smart grids have the scope to avoid entire blackouts by transforming them into brownouts. A brownout is an under-voltage condition where the AC supply drops below the nominal value (120 V or 220 V) by about 10%. In a power system network, power shortages or disturbances can occur at any time, and the reliability margin analysis is essential to maintain the stability of the system. Transmission reliability margin (TRM) is a margin that keeps the network secure during any occurrence of disturbance. This paper presents a new approach to compute TRM in the case of brownout. The detailed assessment of TRM largely depends on the estimation of the available transfer power (ATC). In this method, the ATC of the system is calculated considering the effect of alternating current (AC) and direct current (DC) reactive power (Q) flow (DCQF). The entire procedure is carried out for the multi-transaction IEEE-6 bus system, and the results are compared to the current efficiency justification method. Numerical results demonstrate that the proposed technique is an effective alternative for calculating the TRM and is valid compared to the existing technique.

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