کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4942747 | 1437416 | 2017 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A hybrid fuzzy-stochastic technique for planning peak electricity management under multiple uncertainties
ترجمه فارسی عنوان
یک روش ترکیبی فازی-استوچستیکی برای برنامه ریزی مدیریت برق پیک تحت چندین عدم اطمینان
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کلمات کلیدی
احتمال محدود، تصمیم سازی، سیستم های برق، احتمال فازی، مونت کارلو، برق قله،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
In this study, an interval-fuzzy chance-constrained programming (IFCCP) method is developed for reflecting multiple uncertainties expressed as interval-fuzzy-random (integration of interval values, fuzzy sets, and probability distributions). IFCCP has advantages in uncertainty reflection and policy analysis as well as avoiding complicated intermediate models with high computational efficiency. The developed IFCCP method is applied for planning a regional-scale electric power system (EPS) with consideration of peak-electricity demand issue. Results reveal that different peak demands in different seasons lead to changed electricity-generation pattern, pollutant emission and system cost. IFCCP is more reliable for the risk-aversive planners in handling high-variability conditions by considering peak-electricity demand. Results also disclose that fossil-fuels consumption should be cut down in future (i.e. the energy-supply structure would tend to the transition from fossil-dominated into renewable-energy dominated) in order to meet the increased power demand and mitigate the pollutant emissions. Results can help decision makers improve energy supply patterns, facilitate dynamic analysis for capacity expansion, as well as coordinate conflict interactions among system cost, pollutant mitigation and energy-supply security.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 62, June 2017, Pages 252-264
Journal: Engineering Applications of Artificial Intelligence - Volume 62, June 2017, Pages 252-264
نویسندگان
L. Yu, Y.P. Li, G.H. Huang, B.G. Shan,