کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4945614 | 1438710 | 2017 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A type-2 fuzzy chance-constrained programming method for planning Shanghai's energy system
ترجمه فارسی عنوان
یک روش برنامه نویسی فازی تصادفی نوع 2 برای برنامه ریزی سیستم انرژی شانگهای
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کلمات کلیدی
برنامه ریزی محدودیتی احتمالی، سیستم های انرژی، برنامه ریزی، تحلیل ریسک، فازی نوع 2، عدم قطعیت،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
In this study, a type-2 fuzzy chance-constrained programming (TFCP) method is developed for supporting energy systems planning (ESP) under uncertainty. TFCP incorporates chance-constrained programming within a type-2 fuzzy programming framework to handle uncertainties (i.e. type-2 fuzzy sets and probabilistic distributions) in the objective and constraints, as well as to examine the reliability of satisfying (or risk of violating) system constraints. A TFCP-based energy system (TFCP-ES) model is then formulated for energy systems planning of Shanghai, where multi-energy resources, multi-processing technologies, multi-conversion technologies and multi-end users are considered. Solutions of energy supply, electricity generation, capacity expansion, and air-pollutant emission associated with different constraint-violation risks are obtained. Results reveal that (i) natural gas is one of the major energy-supply sources for the city in the future (increasing by 13.0%); (ii) the city's electricity-generation structure tends to the transition from coal-dominated into clean energy-dominated (e.g., natural gas, onshore wind, offshore wind, and photovoltaic power); (iii) the city's energy-supply security is enhanced by provoking the utilization of renewable energies (increasing by 1.0%). The results are helpful for managers to adjust the city's current energy structure, enhance the energy supply security, as well as make tradeoff between system cost and constraint-violation risk.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 90, September 2017, Pages 37-53
Journal: International Journal of Electrical Power & Energy Systems - Volume 90, September 2017, Pages 37-53
نویسندگان
C. Suo, Y.P. Li, C.X. Wang, L. Yu,