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Novel hybrid design for microgrid control

تصميم هجين جديد للتحكم في الشبكة الدقيقة

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 01 Nov 2017 United States Publisher:IEEEJournal:2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)Funded by:EC | KIOS CoE

Authors: Angelina D. Bintoudi; Lampros Zyglakis; Apostolos C. Tsolakis; Dimosthenis Ioannidis; Salem Al‐Agtash; José L. Martínez‐Ramos; Ahmet Önen; +5 Authors

doi: 10.1109/appeec.2017.8308958 , 10.60692/bnvws-wtf73 , 10.60692/nj7q7-b4632 , 10.5281/zenodo.1317531 , 10.5281/zenodo.1317530

Novel hybrid design for microgrid control

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Abstract

This paper proposes a new hybrid control system for an AC microgrid. The system uses both centralised and decentralised strategies to optimize the microgrid energy control while addressing the challenges introduced by current technologies and applied systems in real microgrid infrastructures. The well-known 3-level control (tertiary, secondary, primary) is employed with an enhanced hierarchical design using intelligent agent-based components in order to improve efficiency, diversity, modularity, and scalability. The main contribution of this paper is dual. During normal operation, the microgrid central controller (MGCC) is designed to undertake the management of the microgrid, while providing the local agents with the appropriate constraints for optimal power flow. During MGCC fault, a peer-to-peer communication is enabled between neighbouring agents in order to make their optimal decision locally. The initial design of the control structure and the detailed analysis of the different operating scenarios along with their requirements have shown the applicability of the new system in real microgrid environments.

This paper proposes a new hybrid control system for an AC microgrid. The system uses both centralised and decentralised strategies to optimise the microgrid energy control while addressing the challenges introduced by current technologies and applied systems in real microgrid infrastructures. The well-known 3-level control (tertiary, secondary, primary) is employed with an enhanced hierarchical design using intelligent agent-based components in order to improve efficiency, diversity, modularity, and scalability. The main contribution of this paper is dual. During normal operation, the microgrid central controller (MGCC) is designed to undertake the management of the microgrid, while providing the local agents with the appropriate constraints for optimal power flow. During MGCC fault, a peer-to-peer communication is enabled between neighbouring agents in order to make their optimal decision locally. The initial design of the control structure and the detailed analysis of the different operating scenarios along with their requirements have shown the applicability of the new system in real microgrid environments.

تقترح هذه الورقة نظام تحكم هجين جديد لشبكة التيار المتردد الصغيرة. يستخدم النظام استراتيجيات مركزية ولا مركزية لتحسين التحكم في طاقة الشبكة الصغرى مع معالجة التحديات التي تطرحها التقنيات الحالية والأنظمة التطبيقية في البنى التحتية الحقيقية للشبكة الصغرى. يتم استخدام التحكم المعروف ثلاثي المستويات (الثلاثي والثانوي والأساسي) مع تصميم هرمي محسن باستخدام مكونات ذكية قائمة على العوامل من أجل تحسين الكفاءة والتنوع والنمطية وقابلية التوسع. المساهمة الرئيسية لهذه الورقة مزدوجة. أثناء التشغيل العادي، تم تصميم وحدة التحكم المركزية في الشبكة الصغرى (MGCC) للقيام بإدارة الشبكة الصغرى، مع تزويد الوكلاء المحليين بالقيود المناسبة لتدفق الطاقة الأمثل. أثناء خطأ MGCC، يتم تمكين الاتصال بين الأقران بين الوكلاء المجاورين من أجل اتخاذ قرارهم الأمثل محليًا. أظهر التصميم الأولي لهيكل التحكم والتحليل التفصيلي لسيناريوهات التشغيل المختلفة جنبًا إلى جنب مع متطلباتها قابلية تطبيق النظام الجديد في بيئات الشبكة الدقيقة الحقيقية.

Country

United States

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Keywords

Smart Grid Applications, Renewable energy, Artificial intelligence, Microgrid, Control (management), Database, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Genetics, Computer Engineering, Demand Response in Smart Grids, Electrical and Electronic Engineering, Microgrids, Biology, Control engineering, Dual (grammatical number), Controller (irrigation), Scalability, Decentralized Control, Computer science, Distributed computing, Agronomy, 629, Integration of Distributed Generation in Power Systems, Load Control, Control and Systems Engineering, Literature, Electrical engineering, FOS: Biological sciences, Physical Sciences, Control and Synchronization in Microgrid Systems, Distributed generation, Modularity (biology), Art

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%