An Efficient Hybrid TLBO-PSO Approach for Congestion Management Employing Real Power Generation Rescheduling - Smart Grid and Renewable Energy

SGRE > Vol.12 No.8, August 2021

Smart Grid and Renewable Energy

Volume 12, Issue 8 (August 2021)

ISSN Print: 2151-481X ISSN Online: 2151-4844

Google-based Impact Factor: 0.88 Citations

An Efficient Hybrid TLBO-PSO Approach for Congestion Management Employing Real Power Generation Rescheduling ()

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DOI: 10.4236/sgre.2021.128008 216 Downloads 913 Views Citations

Author(s)

Muneeb Ul Bashir, Ward Ul Hijaz Paul^*, Mubassir Ahmad, Danish Ali, Md. Safdar Ali

Affiliation(s)

Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India.

ABSTRACT

In the present deregulated electricity market, power system congestion is the main complication that an independent system operator (ISO) faces on a regular basis. Transmission line congestion trigger serious problems for smooth functioning in restructured power system causing an increase in the cost of transmission hence affecting market efficiency. Thus, it is of utmost importance for the investigation of various techniques in order to relieve congestion in the transmission network. Generation rescheduling is one of the most efficacious techniques to do away with the problem of congestion. For optimizing the congestion cost, this work suggests a hybrid optimization based on two effective algorithms viz Teaching learning-based optimization (TLBO) algorithm and Particle swarm optimization (PSO) algorithm. For binding the constraints, the traditional penalty function technique is incorporated. Modified IEEE 30-bus test system and modified IEEE 57-bus test system are used to inspect the usefulness of the suggested methodology.

KEYWORDS

Congestion Management, Deregulation, Optimal Power Flow, Teaching-Learning-Based Optimization (TLBO), Power System Modeling

Share and Cite:

Bashir, M. , Paul, W. , Ahmad, M. , Ali, D. and Ali, M. (2021) An Efficient Hybrid TLBO-PSO Approach for Congestion Management Employing Real Power Generation Rescheduling. Smart Grid and Renewable Energy, 12, 113-135. doi: 10.4236/sgre.2021.128008.

Cited by

[1]	Methods and Methodologies for Congestion Alleviation in the DPS: A Comprehensive Review
	Energies, 2023

[2]	An Efficient Model for Mitigating Power Transmission Congestion using Novel Rescheduling Approach
	Journal of Circuits, Systems and Computers, 2023

[3]	Voltage and Frequency Control in a Microgrid.
	Journal of …, 2022

[4]	Active congestion quantification and reliability improvement considering aging failure in modern distribution networks
	2022

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