Available Transfer Capability Enhancement in Deregulated Power System through TLBO Optimised TCSC

Anurag Gautam, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro and Mohammad F. Ahmer
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Anurag Gautam: Electrical Engineering Department, Jamia Millia Islamia, New Delhi 110025, India
Ibraheem: Electrical Engineering Department, Jamia Millia Islamia, New Delhi 110025, India
Gulshan Sharma: Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa
Pitshou N. Bokoro: Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa
Mohammad F. Ahmer: Department of Electrical and Electronics Engineering, Mewat Engineering College, Nuh 122107, India

Energies, 2022, vol. 15, issue 12, 1-16

Abstract: Rapid industrial development and innovations in technology bring about the menace of congestion in deregulated power systems (DPS). The transmission lines are continuously working under a stressed condition with reduced power transfer capacity. In this situation, the power losses and voltage deviations at the load buses are increased and hence reduce the system stability. To mitigate congestion, improving available transfer capability (ATC) of the transmission system is one of the most feasible and practical solution. This paper focuses on the implementation of Thyristor Controlled Series capacitor (TCSC) to mitigate congestion by enhancing ATC and via reducing power losses. AC Power Transfer Distribution Factor (ACPTDF) is applied to calculate ATC and to find the location of TCSC. To optimize the TCSC parameter (reactance), a Teaching Learning Based Optimization (TLBO) is proposed in the present work. The proposed optimization is validated on the IEEE 30 Bus system. The results are validated by matching with the results obtained through standard grey wolf optimization (GWO) and particle swarm optimization (PSO) techniques. The results show that despite two antagonistic objectives of ATC enhancement and power loss reduction, TLBO outperformed the other optimization techniques under different contingency conditions. The overall ATC of the IEEE 30 Bus system for the bilateral transactions is enhanced by 11.86%. Further active and reactive power losses are reduced by 16.7% and 29.6% for DPS.

Keywords: available transfer capacity; deregulated power system; TCSC; teaching learning based optimization; congestion; ac power transfer distribution factor (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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