خورشید و باد در سیستم های تولید برق
ترجمه نشده

خورشید و باد در سیستم های تولید برق

عنوان فارسی 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
مجله/کنفرانس: دسترسی – IEEE Access
رشته های تحصیلی مرتبط: مهندسی برق، مهندسی انرژی
گرایش های تحصیلی مرتبط: تولید انتقال و توزیع، انرژی های تجدیدپذیر
کلمات کلیدی فارسی: 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
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1109/ACCESS.2019.2955112
دانشگاه: School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia (USM), Nibong Tebal 14300, Malaysia
ناشر: آی تریپل ای - IEEE
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4.641 در سال 2018
شاخص H_index: 56 در سال 2019
شاخص SJR: 0.609 در سال 2018
شناسه ISSN: 2169-3536
شاخص Quartile (چارک): Q2 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 13
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14050
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


I. Introduction


II. Methodology


III. Results and Discussion


IV. Conclusion


Authors


Figures


References

نمونه متن انگلیسی 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].

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