تکنیک مدیریت بهینه انرژی با استفاده از روش محدودیت
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تکنیک مدیریت بهینه انرژی با استفاده از روش محدودیت

عنوان فارسی مقاله: تکنیک مدیریت بهینه انرژی با استفاده از روش محدودیت E برای میکروگریدهای مبتنی بر باتری مستقل و مرتبط با شبکه
عنوان انگلیسی مقاله: An Optimal Energy Management Technique Using the E-Constraint Method for Grid-Tied and Stand-Alone Battery-Based Microgrids
مجله/کنفرانس: دسترسی – IEEE Access
رشته های تحصیلی مرتبط: مهندسی برق، مهندسی انرژی
کلمات کلیدی فارسی: افت توان باتری، تولید توزیع شده، سیستم مدیریت انرژی، میکروگرید، جریان انرژی بهینه، دستگاه ذخیره سازی
کلمات کلیدی انگلیسی: Battery power gradient, distributed generation, energy management system, microgrid, optimal power flow, storage device
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1109/ACCESS.2019.2954050
دانشگاه: Sao Carlos School of Engineering, University of S ˜ ao Paulo, S ˜ ao Carlos 13566-590, Brazil
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: 15
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: E14025
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


I. Introduction


II. System Description


III. Proposed Energy Management System


IV. Optimization Problem Formulation


V. Evaluation Scenarios


Authors


Figures


References

نمونه متن انگلیسی مقاله

Abstract


The intermittent characteristics of microgrids (MGs) have motivated the development of energy management systems (EMSs) in order to optimize the use of distributed energy resources. In current studies, the implementation of an EMS followed by experimental-based analyses for both grid-tied and stand-alone MG operation modes is often neglected. Additionally, the design of a management strategy that is capable of preserving the storage device lifetime in battery-based MGs using a power gradient approach is hardly seen in the literature. In this context, this work presents the application of an EMS for battery-based MGs which is suitable for both grid-tied and stand-alone operation modes. The proposed EMS is formulated as an optimal power flow (OPF) problem using the -constraint method which is responsible for computing the current references used by the EMS to control the MG sources. In the optimization problem, the total generation cost is minimized such that the active power losses are kept within pre-established boundaries, and a battery management strategy based on power gradient limitation is included. Finally, the effectiveness of the proposed EMS is evaluated by two scenarios which enable detailed analyses and validation. The first considers a dispatchable and a non-dispatchable source, whereas the second a dispatchable source and a storage device. The experimental results showed that the proposed EMS is efficient in both operation modes and is also capable of smoothing the state of charge (SoC) behavior of the storage device.


Introduction


The connection of distributed generators (DGs) to electrical power systems and the renewable energy sources intermittent characteristics have motivated the study of energy management strategies to optimize microgrids (MGs) operations, therefore improving DGs performance in an intelligent, safe, reliable and coordinated way [1]. The control concepts applied to MGs are established hierarchically through the primary, secondary and tertiary levels. The energy management is executed at the tertiary level by solving an optimal power flow (OPF) problem which optimizes the energy resources usage [2]. This is performed based on an objective function differentiation. Typically, the OPF considers power balance constraints, emission of pollutants, fuel cost, performance, security boundaries, power sharing and stability [1], [3]–[۹]. Basically, an energy management system (EMS) is addressed following either a decentralized or a centralized architecture. In the former, the management strategy runs locally with slow communication links. In the latter, on the other hand, it operates on the highest control layer and fast communication links are required [10]. The advantage of the centralized approach is that the EMS configuration provides broad observability of the MGs, which promotes optimal overall operation in terms of voltage and current (amplitude and phase) minimal requirements to run an optimization algorithm which computes each operating point that will be sent to the DGs.

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