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Optimal Location of TCSC Using Evolutionary Optimization Techniques

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Techno-Societal 2016 (ICATSA 2016)

Abstract

This paper presents the solution of power flow equation with Thyristor Controlled Series Capacitor (TCSC) using the Newton Raphson algorithm with three objective functions, namely minimization of real power transfer loss, minimization of installation cost and improvement of the voltage profile using modern optimization methods. Optimal setting and location of TCSC are considered as the optimization parameter, on which optimizations are performed using evolutionary optimization methods, namely Teaching Learning Based Optimization (TLBO) and Particle Swarm Optimization (PSO). To validate the propose algorithm, the IEEE 14 bus system is used and results are tabulated for different loading condition. Programming software MATLAB is used for the coding of the above mentioned objective function. The simulation result of the two algorithms is compared and gives the superiority of the TLBO over PSO.

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Correspondence to Rahul Agrawal .

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Agrawal, R., Bharadwaj, S.K., Bodhe, A., Kothari, D.P., Deshmukh, B. (2018). Optimal Location of TCSC Using Evolutionary Optimization Techniques. In: Pawar, P., Ronge, B., Balasubramaniam, R., Seshabhattar, S. (eds) Techno-Societal 2016. ICATSA 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-53556-2_38

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  • DOI: https://doi.org/10.1007/978-3-319-53556-2_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53555-5

  • Online ISBN: 978-3-319-53556-2

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