Study on criticality Minimizing Cost in power system with optimal design of stochastic wind power generators using moth flow optimization

Alam, Mohammad Khurshed and Mohd Herwan, Sulaiman and Sayem, MD Shaoran and Chowdhury, Jannat Khair and Foysal, Md. and Akter Ringku, Md. Mahfuzur (2022) Study on criticality Minimizing Cost in power system with optimal design of stochastic wind power generators using moth flow optimization. In: Engineering Technology International Conference (ETIC 2022). Engineering Technology International Conference (ETIC2022) , 7 - 8 September 2022 , Universiti Malaysia Pahang, Pahang. pp. 323-328., 2022. ISBN 978-1-83953-782-0

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DOI/Official URL: https://ieeexplore.ieee.org/document/10106711

Abstract

The power grid, one of the most crucial components of smart cities, faces significant challenges in operating efficiently, dependably, and economically. One of these challenges is forecasting the demand for electricity. Grid managers can balance supply and demand properly while also minimizing operating expenses for generating and transmitting power. Thanks to accurate forecasts, while maintaining respectable system performance in terms of the limitations on the actual and reactive power output of the generator, bus voltages, shunt capacitors and reactors, transformer tap setting, and transmission line power flow. For a sustainable future and to meet the higher carbon emission standards that are being put in place, it is expected that the renewable energy sector will experience enormous development. The placement of wind turbines in a wind farm requires the use of evolutionary algorithms and power system optimization issues because the wake effect caused by upstream turbines impacts the output of downstream turbines, consequently diminishing the total power output from the wind farm. The current study using MFO determines a cost of 3160.0824/h for minimizing the cost of multiple fuels, which turns out to be the best price when compared to the legitimate results obtained by other algorithms. It results in a cost savings of 1.45% per hour when compared to the worst alternatives given by the comparison algorithm. According to simulation results on the IEEE 30-bus network with six generators, this approach might offer the best solution right away. A further study found that this method works best for medium-scale power installations.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Power transmission analysis, moth flam optimizer, minimizing cost, optimal power flow
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Miss. Ratna Wilis Haryati Mustapa
Date Deposited:	15 Mar 2024 07:41
Last Modified:	15 Mar 2024 07:41
URI:	http://umpir.ump.edu.my/id/eprint/35500
Download Statistic:	View Download Statistics

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