مقاله انگلیسی رایگان در مورد خورشید و باد در سیستم های تولید برق – IEEE 2019
مشخصات مقاله | |
ترجمه عنوان مقاله | بهینه سازی چند هدفی نفوذ خورشید / باد در سیستم های تولید برق |
عنوان انگلیسی مقاله | Multi-Objective Optimization of Solar/Wind Penetration in Power Generation Systems |
انتشار | مقاله سال ۲۰۱۹ |
تعداد صفحات مقاله انگلیسی | ۱۳ صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه IEEE |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس نمیباشد |
نمایه (index) | Scopus – Master Journals List – JCR |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
۴٫۶۴۱ در سال ۲۰۱۸ |
شاخص H_index | ۵۶ در سال ۲۰۱۹ |
شاخص SJR | ۰٫۶۰۹ در سال ۲۰۱۸ |
شناسه ISSN | ۲۱۶۹-۳۵۳۶ |
شاخص Quartile (چارک) | Q2 در سال ۲۰۱۸ |
مدل مفهومی | ندارد |
پرسشنامه | ندارد |
متغیر | ندارد |
رفرنس | دارد |
رشته های مرتبط | مهندسی برق، مهندسی انرژی |
گرایش های مرتبط | تولید انتقال و توزیع، انرژی های تجدیدپذیر |
نوع ارائه مقاله |
ژورنال |
مجله / کنفرانس | دسترسی – IEEE Access |
دانشگاه | School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia (USM), Nibong Tebal 14300, Malaysia |
کلمات کلیدی | سیستم ذخیره انرژی باتری، شبیه سازی مونته کارلو، قابلیت اطمینان، انرژی خورشیدی، گرید هوشمند، انرژی باد |
کلمات کلیدی انگلیسی | Battery energy storage system, Monte Carlo simulation, reliability, solar energy, smart grid, wind energy |
شناسه دیجیتال – doi |
https://doi.org/10.1109/ACCESS.2019.2955112 |
کد محصول | E14050 |
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 |
فهرست مطالب مقاله: |
Abstract I. Introduction II. Methodology III. Results and Discussion IV. Conclusion Authors Figures References |
بخشی از متن مقاله: |
Abstract
Integrations of renewable energies, particularly solar and wind, are increasing worldwide due to carbon emission reduction efforts and maturing technologies that have driven down the cost of their energy productions. Due to the intermittency of these renewable sources, the battery energy storage system often coexists alongside solar/wind energy systems. Integrating these two aspects into power systems requires the consideration of reliability, social wellbeing and environmental factors, which collectively form a multi-objective optimization problem that this paper aims to solve with the non-dominated sorting genetic algorithm. The proposed method is able to find optimum solutions that are equally beneficial to all factors – Pareto front – without being heavily biased to any one of them. The proposed method is separated into two parts by first optimizing the penetration of solar/wind energy, followed by the optimization of the energy storage capacity in the second part. The fuzzy decision making method is utilized to select a preferred solution from the Pareto front based on the assignment of the membership function values to reflect operator’s preferences. The proposed method was implemented on the IEEE Reliability Test System overlaid with the real sampled weather data. The proposed objectives in the optimization problem are also practical and useful for the expansion of generation systems. Introduction The supply of energy is a critical part of sustainable development manifestation [1] and the power generation sector is constantly evolving to become more reliable while maintaining competitive operation costs without adversely impacting the wellbeing of society [2]. The term ‘reliable’ is defined as the ability of the generation system to adequately supply power to meet load demands [3], [4]. Hence, technical, economic and social aspects are the cornerstones of power network developments [5]. One of the strategies to achieve the sustainable production of energy is through the wide scale implementation of renewable energy (RE) sources as most of them have no carbon emission and they are therefore environmental friendly [6]. A main feature of the RE sources is its unlimited supply, but the downside risk is their intermittency property. Due to this, there are considerable concerns that question the ability of such a generation system to fill the energy gap caused by RE units during episodes of their intermittency. Hence, the common practice is to restrict the integration of RE within a certain percentage of system load to maintain system reliability [7]. However, this reduces the reliance on RE which contradicts the aim to minimize fossil fuel usage in power generation [8]. Consequently, technologies that are able to alleviate the intermittency problem of RE sources is needed and, studies have shown that the energy storage systems (ESSs) is able to store the extra energy produced during times of excesses for later usage [9]. |