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    •   صفحهٔ اصلی
    • نشریات انگلیسی
    • Journal of Operation and Automation in Power Engineering
    • Volume 4, Issue 1
    • مشاهده مورد
    •   صفحهٔ اصلی
    • نشریات انگلیسی
    • Journal of Operation and Automation in Power Engineering
    • Volume 4, Issue 1
    • مشاهده مورد
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    Clean and Polluting DG Types Planning in Stochastic Price Conditions and DG Unit Uncertainties

    (ندگان)پدیدآور
    Sadeghi, M.Kalantar, M.
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    نوع مدرک
    Text
    Research paper
    زبان مدرک
    English
    نمایش کامل رکورد
    چکیده
    This study presents a dynamic way in a DG planning problem instead of the last static or pseudo-dynamic planning point of views. A new way in modeling the DG units' output power and the load uncertainties based on the probability rules is proposed in this paper. A sensitivity analysis on the stochastic nature of the electricity price and global fuel price is carried out through a proposed model. Six types of clean and conventional DG units are included in the planning process. The presented dynamic planning problem is solved considering encouraging and punishment functions. The imperialist competitive algorithm (ICA) as a strong evolutionary strategy is employed to solve the DG planning problem. The proposed models and the proposed problem are applied on the 9-bus and 33-bus test distribution systems. The results show a significant improvement in the total revenue of the distribution system in all of the defined scenarios.
    کلید واژگان
    Distributed generation
    Investment time
    Dynamic programming
    Uncertainty
    Monte Carlo simulation
    Dynamics

    شماره نشریه
    1
    تاریخ نشر
    2016-06-01
    1395-03-12
    ناشر
    University of Mohaghegh Ardabili
    دانشگاه محقق اردبیلی
    سازمان پدید آورنده
    Center of Excellence for power system automation and operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
    Center of Excellence for power system automation and operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran

    شاپا
    2322-4576
    2423-4567
    URI
    http://joape.uma.ac.ir/article_429.html
    https://iranjournals.nlai.ir/handle/123456789/232928

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