Volume 6, Issue 4 (English 2016)                   JEM 2016, 6(4): 14-25 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sadeghi M, kalantar M. Distribution System Annual Cost Minimization Using Clean Type Technologies . JEM. 2016; 6 (4) :14-25
URL: http://energy.kashanu.ac.ir/article-1-392-en.html
Iran University of Science and Technology, Iran
Abstract:   (2857 Views)
One of the basic obstacles in the deployment of clean technologies such as wind turbines or PV modules is their intermittent nature due to dependency on the wind speed and solar radiance. In fact, the authors in this paper aim to investigate the effect of clean technologies such as wind turbines and PV modules on the total and individual costs of the distribution system. In order to model the uncertain nature of clean technologies, we have proposed a probabilistic method in this study. So, a DG planning problem based on the hourly variations in wind speed and solar radiance is suggested to reduce the total cost of the distribution system. The hourly variations of the load like the hourly variations in wind speed and solar radiance is considered in this study. Also, all of the defined economic, technical and environmental functions are turned into cost functions. An encouraging and punishment mechanism is defined in addition to the other cost functions. The planning problem is formulated as mixed integer nonlinear programming problem (MINLP). The proposed method is applied on the 9-bus distribution system and the results show a significant reduction in annual costs of the distribution system using the DG units.
Full-Text [PDF 1006 kb]   (1396 Downloads)    
Type of Study: Research | Subject: Electrical Engineering
Received: 2014/11/9 | Revised: 2018/01/9 | Accepted: 2015/08/20 | Published: 2016/10/8

Add your comments about this article : Your username or Email:

Rights and permissions
  This work is licensed under a This work is licensed under a Creative Common International License..

© 2022 CC BY-NC 4.0 | Energy Engineering & Management

Designed & Developed by : Yektaweb