دانلود رایگان مقاله طراحی تعرفه هوشمند برای کاهش خطر عمده فروشی

عنوان فارسی
طراحی تعرفه هوشمند برای کاهش خطر عمده فروشی
عنوان انگلیسی
Smart Meter Tariff Design to Minimise Wholesale Risk
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
8
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E5291
رشته های مرتبط با این مقاله
اقتصاد
گرایش های مرتبط با این مقاله
اقتصاد پولی
مجله
یادداشت های الکترونیکی در ریاضیات گسسته - Electronic Notes in Discrete Mathematics
دانشگاه
School of Business - University College Dublin - Ireland
کلمات کلیدی
طراحی تعرفه هوشمند شبکه، الگوریتم ژنتیک، عملکرد تناسب استقلال
چکیده

Abstract


Smart metering in electricity markets offers an opportunity to explore more diverse tariff structures. In this article a Genetic Algorithm (GA) is used to design Time of Use tariffs that minimise the wholesale risk to the supplier in residential markets. Residential demand and the System Marginal Price of Ireland’s Single Electricity Market are simulated to estimate the wholesale risk associated with each tariff.

نتیجه گیری

5 Conclusions


This work presents a novel concept in two respects. First it asks a question not covered by previous literature - can wholesale risk be reduced through the ToU configuration of a tariff? Second, a bespoke GA is presented with a custom representation, crossover function, mutation operator and stochastic fitness function.


It has demonstrated that there are ToU configurations that reduce wholesale risk. The reduction can be circa 30% when compared to a tariff with no ToU configuration based on the historical data modelled.


Given the likely flat landscape of the search space with tariffs of varying complexity giving similar results further work will explore the least complex tariff with the lowest value of wholesale risk by adding a penalty to the fitness function based on the complexity of the tariff.


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