Multi objective optimization of DG allocation and sizing in distribution systems using non-dominated sorting genetic algorithm II

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Abstract

Nowadays, dispersed generators (DG) have been used in order to achieve the better system performance. Losses minimization and voltage profile enhancement are the main target of DG optimal placement. In this paper, the DG allocation and sizing considering stability index improvement, DG penetration and reduction in power losses has been investigated by using Non-dominated Sorting Genetic Algorithm II (NSGA II). Modal analysis has been used to evaluate the stability index. The utilized method has been applied to IEEE 30 bus test system.

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Mohamed, N., & Ishak, D. (2019). Multi objective optimization of DG allocation and sizing in distribution systems using non-dominated sorting genetic algorithm II. In Lecture Notes in Electrical Engineering (Vol. 547, pp. 277–284). Springer Verlag. https://doi.org/10.1007/978-981-13-6447-1_35

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