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Akhtar, I., Paul, W.U.H., Kirmani, S. and Asim, M. (2021) Cost Analysis of 18 kW Solar Photovoltaic System for Smart Cities Growth in India. In: Iqbal, A., Malik, H., Riyaz, A., Abdellah, K. and Bayhan, S., Eds., Renewable Power for Sustainable Growth, Vol. 723, Springer, Singapore, 661-667.
https://doi.org/10.1007/978-981-33-4080-0_63

has been cited by the following article:

• TITLE: An Efficient Hybrid TLBO-PSO Approach for Congestion Management Employing Real Power Generation Rescheduling

  AUTHORS: Muneeb Ul Bashir, Ward Ul Hijaz Paul, Mubassir Ahmad, Danish Ali, Md. Safdar Ali

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

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.12 No.8, August 30, 2021

  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.