کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
763551 1462860 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of a fast power demand response strategy using active and passive building cold storages for smart grid applications
ترجمه فارسی عنوان
ارزیابی یک استراتژی پاسخ سریع تقاضای برق با استفاده از ذخیره سازی های ذخیره سازی فعال و غیر فعال برای شبکه های هوشمند
کلمات کلیدی
استراتژی پاسخ سریع تقاضای انرژی، شبکه هوشمند، ذخیره سازی های سرد و فعال غیر فعال، ساختمان راحتی حرارتی داخل ساختمان، تجزیه و تحلیل کمی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


• A fast power demand response strategy is developed for smart grid applications.
• The developed strategy can provide immediate and stepped power demand reduction.
• The demand reduction and building indoor temperature can be predicted accurately.
• The demand reduction during the DR event is stable.

Smart grid is considered as a promising solution in improving the power reliability and sustainability where demand response is one important ingredient. Demand response (DR) is a set of demand-side activities to reduce or shift electricity use to improve the electric grid efficiency and reliability. This paper presents the investigations on the power demand alternation potential for buildings involving both active and passive cold storages to support the demand response of buildings connected to smart grids. A control strategy is developed to provide immediate and stepped power demand reduction through shutting chiller(s) down when requested. The primary control objective of the developed control strategy is to restrain the building indoor temperature rise as to maintain indoor thermal comfort within certain level during the DR event. The chiller power reduction is also controlled under certain power reduction set-point. The results show that stepped and significant power reduction can be achieved through shutting chiller(s) down when requested. The power demand reduction and indoor temperature during the DR event can be also predicted accurately. The power demand reduction is stable which is predictable for the system operators.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Conversion and Management - Volume 102, 15 September 2015, Pages 227–238
نویسندگان
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