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• W2892850198 abstract "Hyper-spherical search algorithm (HSSA) is proposed for optimal allocation and sizing of PhotovoltaicDistributed Generation System (PVDGS) in the distribution network. Firstly, Power Loss Index (PLI) techniqueis presented to get the highest candidate buses for installing PVDGS. Secondly, the proposed HSSA is developedto decide the most optimal locations of PVDGS and their economic sizing at the elected buses by PLI. Herein, thecost objective function is designed to diminish the total cost of the system losses, and subsequently increase theannual net saving. Hourly variation of solar radiation, and temperature is taken into account in cost calculation ofthe PV system. In addition, the present worth value for the costs of the maintenance and the PV systemcomponents is estimated as function of interest and inflation rates. The proposed algorithm is tested on 69- IEEEand 118 IEEE radial distribution systems to ensure the effectiveness of the proposed algorithm in increasing thenet saving via precise cost calculation" @default.
• W2892850198 created "2018-10-05" @default.
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• W2892850198 date "2018-01-01" @default.
• W2892850198 modified "2023-09-28" @default.
• W2892850198 title "Optimal Energy Saving of Photovoltaic Distributed Generation System with Considering Environment Condition via Hyper-Spherical Search Algorithm" @default.
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• W2892850198 hasPublicationYear "2018" @default.
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