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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sadeghi, M. Kalantar, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran (Sadeghi, M.; Kalantar, M.) |
| 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. |
| Sponsorship | IEEE Poland Sect. |
| Starting Page | 127 |
| Ending Page | 131 |
| File Size | 543009 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479946600 |
| DOI | 10.1109/EEEIC.2014.6835850 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-10 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy loss Solar Unit Planning Probabilistic logic Probabilistic Calculation PV Module Software Planning Power systems Rayleigh Probability Distribution Function Power generation Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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