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This study presents a new multi-objective Taguchi approach for optimal integration of distributed generations (DGs) in small and large scale distribution networks. The Taguchi method (TM) is a statistical method and employs orthogonal arrays (OAs) to estimate the output response in less number of computations. In every cycle, OA is updated according to mean response of each parameter at its respective...
Passive distribution networks are now becoming active with the integration of distributed generations (DGs) on account of socio-economic and environmental concerns. The optimal DG allocation is therefore one of the crucial task for distribution system planners and system operators to increase the margin of annual profits of distribution utilities. In this work attempts have been made to determine...
In recent years the integration of renewable energy sources to distribution system is gaining attention worldwide. However, the intermittent nature of renewable sources creates challenges in integration of Distributed Generation (DG) units. In this paper, a Genetic Algorithm (GA) based methodology has been proposed for optimal penetration of different types of renewable DG units in the distribution...
This paper introduces the application of Taguchi method to find the optimal allocation of distributed generations (DGs) in distribution network to minimize feeder power losses. The proposed method employs an orthogonal array (OA) to obtain optimal siting and sizing of DGs. The factors of OA are tuned by executing factorial design of experiments iteratively to optimize the objective function. The developed...
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