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Genetic Algorithm Based Placement and Sizing of Distributed Generators

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 467))

Abstract

This paper reveals the impact of Distribution Generator (DG) present in electrical force circulation systems by taking IEEE 14 bus system as proposed frameworks. The investigation carried out is to inspect the impact on the general framework misfortunes and voltage profile. The point behind this study is to acquire the optimal area and entrance level of the new DG unit with a specific end goal to diminish the misfortunes and to upgrade the voltage profile. Genetic Algorithm is one the imperative stream of science and currently it is considered as most sweltering examination zone. Proficient techniques and advances are profoundly required to lessen the estimations and perform the operations in exact way. The force framework is extremely a recondite subject so that there is a need of ideal arrangements with which the framework gets to be upgraded and be prudent by taking care of complex issue. There are numerous advantages to introduce a DG in the framework to do complex count in arriving the size and the arrangement of DG. The estimation of ideal size and area of DG for a disseminated framework is the essential motivation behind this paper.

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Correspondence to R. Gayathri .

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Gayathri, R., Mayurappriyan, P.S. (2017). Genetic Algorithm Based Placement and Sizing of Distributed Generators. In: Deiva Sundari, P., Dash, S., Das, S., Panigrahi, B. (eds) Proceedings of 2nd International Conference on Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 467. Springer, Singapore. https://doi.org/10.1007/978-981-10-1645-5_32

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  • DOI: https://doi.org/10.1007/978-981-10-1645-5_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1644-8

  • Online ISBN: 978-981-10-1645-5

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