مشخصات مقاله | |
انتشار | مقاله سال 2017 |
تعداد صفحات مقاله انگلیسی | 32 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
منتشر شده در | نشریه الزویر |
نوع مقاله | ISI |
عنوان انگلیسی مقاله | Correlations and clustering in wholesale electricity markets |
ترجمه عنوان مقاله | همبستگی و خوشه بندی در بازارهای برق عمده فروشی |
فرمت مقاله انگلیسی | |
رشته های مرتبط | اقتصاد |
گرایش های مرتبط | اقتصاد پولی |
مجله | فیزیک A: مکانیک آماری و کاربرد آن – Physica A: Statistical Mechanics and its Applications |
دانشگاه | Science & Technology on Integrated Information System Laboratory Institute of Software |
کلمات کلیدی | اقدامات همبستگی، خوشه بندی، قیمت برق |
کد محصول | E5288 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
بخشی از متن مقاله: |
1. Introduction
Electricity is different from other commodities in at least three important respects: it cannot currently be stored efficiently, it flows through the electricity grid according to the laws of electromagnetism rather than directly from a producer to a consumer, and at any moment supply and demand must match almost exactly to avoid blackouts or other issues. The capacity of the transmission network also limits the amounts of power that can be injected or withdrawn at certain locations. Therefore, in order for an electricity grid to function safely and efficiently, the configuration and physical limits of the grid and the locations of generation and consumption must be taken into account when making decisions about consumption and production. To this end, many grid operators around the world have adopted a spatial and temporal pricing mechanism known as Locational Marginal Pricing (LMP) [1]. This mechanism sets potentially different prices at hundreds or thousands of important locations (nodes) throughout an electricity grid. These prices are part of the solution to an optimal power flow (OPF) problem [2], and represent the increase in optimized total system costs as a result of a small increase in the amount of power consumed at a location at a specific time. |