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• W2099590241 abstract "This paper focuses on solar units planning problem using continuous genetic algorithm to reduce energy loss cost of the distribution system from probabilistic point of view. As the solar radiance have an intermittent nature, so all of the studies related to these technologies have a probabilistic nature. In this paper, all of the possible states of solar unit generations are considered with their probabilities. So, the probabilistic energy loss cost of the distribution system is achieved. The purpose of this paper is to find the best place and size of the solar units to reduce the probabilistic power loss of the distribution system. The proposed method is applied on a 9 bus test distribution system using GAMS software. The results show a significant reduction in energy loss cost of the distribution system in each state of solar unit generations." @default.
• W2099590241 created "2016-06-24" @default.
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• W2099590241 date "2014-05-01" @default.
• W2099590241 modified "2023-09-26" @default.
• W2099590241 title "Solar units planning using continuous genetic algorithm to reduce energy loss cost of the distribution system" @default.
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• W2099590241 doi "https://doi.org/10.1109/eeeic.2014.6835850" @default.
• W2099590241 hasPublicationYear "2014" @default.
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