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  2. Volume 7, Issue 4
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Online ISSN: 2515-8260

Volume7, Issue4

Optimal Allocation and Sizing of Distributed Generation with Soft Computing Technique for Loss Reduction

    Ajit Pandharinath Chaudhari Dr. E Vijay Kumar Dr. Girish A. Kulkarni

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1209-1216

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Abstract

This article presents an evaluation of the optimal location and dimensioning of distributed generation in electrical energy distribution systems. For such evaluation, the Shuffled Frog-Leaping Algorithm has been considered. In the problem of optimal location and dimensioning, two objectives have been considered: the minimization of active losses and the improvement of the voltage profile. To compare the effectiveness of the implemented methods, IEEE-33 bus test distribution system is used. The correct location and dimensioning of the distributed generation allowed to substantially improve the network voltage profile and reduce losses for the test system.
Keywords:
    Active Power Losses Centralized Generation Distributed generation Reactive Power Losses Voltage Profiles etc
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(2020). Optimal Allocation and Sizing of Distributed Generation with Soft Computing Technique for Loss Reduction. European Journal of Molecular & Clinical Medicine, 7(4), 1209-1216.
Ajit Pandharinath Chaudhari; Dr. E Vijay Kumar; Dr. Girish A. Kulkarni. "Optimal Allocation and Sizing of Distributed Generation with Soft Computing Technique for Loss Reduction". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 1209-1216.
(2020). 'Optimal Allocation and Sizing of Distributed Generation with Soft Computing Technique for Loss Reduction', European Journal of Molecular & Clinical Medicine, 7(4), pp. 1209-1216.
Optimal Allocation and Sizing of Distributed Generation with Soft Computing Technique for Loss Reduction. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 1209-1216.
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