دانلود مقاله بهینه سازی نفوذ ریزشبکه مستقل، مدیریت سمت تقاضا
چکیده
مقدمه
توضیحات مدل
شاخص های نفوذ
فرمول بندی مسئله بهینه سازی با الگوریتم های ژنتیک و بهینه سازی ازدحام ذرات
نتایج شبیه سازی
نتیجه گیری
منابع
Abstract
Introduction
Model description
Indexes of penetration
Formulation of the optimization problem with genetic algorithms and particle swarm optimization
Simulation results
Conclusions
References
چکیده
در این کار، ما اهمیت پیاده‌سازی تکنیک‌هایی را نشان می‌دهیم که به ما امکان می‌دهد مدیریت سمت تقاضا را به عنوان ابزاری برای برنامه‌ریزی سیستم‌های انرژی، در این مورد خاص، سیستم‌های قدرت مستقل، لحاظ کنیم. شاخص‌های نفوذ نیز برای تعیین حداقل الزامات برای تأمین انرژی یک سیستم عمدتاً مسکونی که توسط منابع تجدیدپذیر تغذیه می‌شود، پیشنهاد و محاسبه می‌شوند. شاخص‌ها با استفاده از تکنیک‌های بهینه‌سازی فراابتکاری مبتنی بر الگوریتم ژنتیک و بهینه‌سازی ازدحام ذرات بهینه شدند. دوره های یک، پنج و 10 ساله به منظور درک اهمیت نفوذ این فناوری ها مورد تجزیه و تحلیل قرار گرفت. با استفاده از ابزارهای عددی، رابطه بین تولید و تقاضا برای موارد مختلف بهینه می‌شود، با هدف کاهش انرژی که با حداقل هزینه به سیستم عرضه نمی‌شود. این سند مجموعه ای از شاخص های نفوذ را که با بهینه سازی یک سیستم انرژی به دست آمده اند، تجزیه و تحلیل می کند. شاخص های ذکر شده امکان تجسم رفتار فناوری های مستعد پیاده سازی در منطقه غربی مکزیک را فراهم می کند. هدف از کار بر درک پتانسیل مدیریت تقاضا به عنوان یک عنصر ساختاری و پایه شبکه های انرژی که از انرژی های تجدید پذیر استفاده می کنند متمرکز است.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
In this work, we demonstrate the importance of implementing techniques that allow us to include demand side management as a tool for the planning of energy systems, in this particular case, standalone power systems. Penetration indexes are also proposed and calculated to establish the minimum requirements for the energy supply of a predominantly residential system powered by renewable resources. The indexes were optimized using meta-heuristic optimization techniques based on a genetic algorithm and particle swarm optimization. Periods of one, five and 10 years were analyzed in order to understand the importance of the penetration of these technologies. Through the use of numerical tools, the relationship between generation and demand is optimized for different cases, with the aim of reducing the energy that is not supplied to the system at minimum cost. This document analyzes a series of penetration indexes that were obtained by optimizing an energy system. The mentioned indexes allow to visualize the behavior of the technologies susceptible of being implemented in the western region of Mexico. The purpose of the work is focused on understanding the potential of demand management as a structural element and foundation of energy networks that use renewable energy.
Introduction
Historically, demand side management (DSM) has been relegated to a secondary role. Even in the United States in the 1970s, motivated by economic interests derived from energy blockades, pilot programs were proposed for the implementation of active controls and demand management. One of the crucial elements of management is an extensive knowledge of two guidelines. One of which is related to the geographical location of the site and the other is dependent on the vocation, considering the theoretical operation limits of it. The objective of the previous premises is adapted to the sector that impacts, while it could be visualized as an abrupt interruption in the electrical supply. On the other hand, it could also represent a decrease in the production capacity, both translated into economic losses (Thakur and Chakraborty, 2016).
Conclusions
The importance of this work lies mainly in the fact that we propose and optimized penetration indexes that favor the regulation of the supplied power and allow to reduce the energy not supplied, without duplicating the installed powers and reducing the total cost of the system. Nevertheless, the optimal sizing of an MG, by means of demand control, will not be successful without the implementation of energy management systems and a change in the paradigm of energy consumption. We must remember that modern energy systems aim to achieve low fossil fuel consumption economies and high resilience.
It is important to mention that, when comparing the cost for the evaluations, regardless of the morphological nature, there is a marked response to the use of diesel and batteries in short periods of time. However, the use of the optimization algorithms over prolonged periods can find solutions with a higher penetration of renewable energies due to lower variable costs.