دانلود مقاله ISI انگلیسی شماره 54646
عنوان فارسی مقاله

مدیریت انرژی بهینه یک شبکه توزیع در طول دوره موج گرما

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
54646 2016 11 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Optimal energy management of a distribution network during the course of a heat wave
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Electric Power Systems Research, Volume 130, January 2016, Pages 230–240

کلمات کلیدی
منابع انرژی پراکنده؛ مدیریت انرژی؛ رویداد آب و هوایی شدید - موج گرما؛ بلای طبیعی
پیش نمایش مقاله
پیش نمایش مقاله مدیریت انرژی بهینه یک شبکه توزیع در طول دوره موج گرما

چکیده انگلیسی

Heat waves are prolonged periods of excessive ambient temperature that may last up to several weeks. In addition to posing health threats to the society, these events may easily push the power grid towards its operational limits. The maximum capacity of many energy resources gets negatively affected by excess temperatures. This can be in addition to the expected loss of life due to operation under harsh conditions. Overhead lines, on the other hand, experience excessive conductor surface temperatures that can drastically reduce their power transmission capacity. To make matters worse, the reduction in generation and/or transmission capacity will coincide with a rise in electric demand, often attributed to the overutilization of air-conditioning systems. This can jeopardize the ability of the power grid to maintain system stability. A key to ensuring that the grid continues operating safely and securely is to incorporate the effect of temperature into its operation schedule. In this paper, we propose an optimal generation dispatch strategy for a distribution grid exposed to a heat wave event, while taking into account the dependence of operational constraints of various components on ambient temperature. We study a power grid equipped with renewable and non-renewable distributed generation, battery energy storage, and demand responsive loads. We evaluate the effectiveness of our proposed approach on a test system with data acquired from the heat wave event of July 2006 in Sacramento, CA.

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