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A Critical Review of Distributed Generations Planning in Distribution Networks for Improved System Performances
With the help of a range of load models including static, dynamic, composite, and realistic load models, the planning of distributed generations (DGs) in distribution networks is examined. Traditional, artificial intelligence, hybrid, and other modern approaches of optimization are used for DGs planning. Different performance measures, including minimising the actual and reactive power losses of the system are taken into consideration for DGs design from a variety of objective function viewpoints. This review paper also discusses the most recent models and methods for organising, evaluating, and classifying current and upcoming research trends in the area of DGs. Therfore, this study may be useful for researchers and professionals of academia and industry.
A Critical Review of Distributed Generations Planning in Distribution Networks for Improved System Performances
With the help of a range of load models including static, dynamic, composite, and realistic load models, the planning of distributed generations (DGs) in distribution networks is examined. Traditional, artificial intelligence, hybrid, and other modern approaches of optimization are used for DGs planning. Different performance measures, including minimising the actual and reactive power losses of the system are taken into consideration for DGs design from a variety of objective function viewpoints. This review paper also discusses the most recent models and methods for organising, evaluating, and classifying current and upcoming research trends in the area of DGs. Therfore, this study may be useful for researchers and professionals of academia and industry.
A Critical Review of Distributed Generations Planning in Distribution Networks for Improved System Performances
J. Inst. Eng. India Ser. B
Kumar, Ravindra (author) / Singh, B. K. (author) / Singh, Bindeshwar (author)
Journal of The Institution of Engineers (India): Series B ; 105 ; 1373-1427
2024-10-01
55 pages
Article (Journal)
Electronic Resource
English
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