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Optimal Power Flow Using Firefly Algorithm with Solar Power

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Emerging Technologies for Computing, Communication and Smart Cities

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 875))

Abstract

One of the most intractable problems in power system networks is the optimal power flow problem (OPF). The firefly algorithm (FA), among the most popular meta-heuristic nature-inspired algorithms, is used to solve the OPF problem. This research uses FA to solve the optimal power flow problem with the addition of a solar energy system. The goal of this study is to reduce total fuel cost, minimize L-index (voltage stability index) and minimizing real power loss. The effect of incorporation of renewable energy system into OPF problem is studied on 30-bus IEEE test system. The proposed method has been implemented in MATLAB program, and these results are compared with various algorithms available in the existing literature.

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Aravind, T., Rao, B.S. (2022). Optimal Power Flow Using Firefly Algorithm with Solar Power. In: Singh, P.K., Kolekar, M.H., Tanwar, S., Wierzchoń, S.T., Bhatnagar, R.K. (eds) Emerging Technologies for Computing, Communication and Smart Cities. Lecture Notes in Electrical Engineering, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-19-0284-0_28

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  • DOI: https://doi.org/10.1007/978-981-19-0284-0_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0283-3

  • Online ISBN: 978-981-19-0284-0

  • eBook Packages: EngineeringEngineering (R0)

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