Microgrid supervisory controllers and energy management systems: A literature review

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• 作者：Lexuan Meng^a ; ^{lme@et.aau.dk" class="auth_mail" title="E-mail the corresponding author} ; Eleonora Riva Sanseverino^b ; Adriana Luna^a ; Tomislav Dragicevic^a ; Juan C. Vasquez^a ; Josep M. Guerrero^a
• 关键词：(ANN) ; Artificial Neural Networks ; (CR) ; Compensation References ; (DM) ; Decision Making ; (DSM) ; Demand Side Management ; (DER) ; Distributed Energy Resource ; (DNO) ; Distribution Network Operator ; (ED) ; Economic Dispatch ; (EMS) ; Energy Management System ; (ESS) ; Energy Storage System ; (GTA) ; Generator Agent ; (GA) ; Genetic Algorithm ; (ICT) ; Information and Communication Technology ; (LA) ; Load Agent ; (LB) ; Local Bus ; (LC) ; Local Controller ; (MLS) ; Machine-Learning system ; (MO) ; Market Operator ; (MPPT)
• 刊名：Renewable and Sustainable Energy Reviews
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：60
• 期：Complete
• 页码：1263-1273
• 全文大小：2166 K

文摘

Microgrids (MGs), featured by distributed energy resources, consumption and storage, are designed to significantly enhance the self-sustainability of future electric distribution grids. In order to adapt to this new and revolutionary paradigm, it is necessary to control MGs in intelligent and coordinated fashion. To this aim, a new generation of advanced Microgrid Supervisory Controllers (MGSC) and Energy Management Systems (EMS) has emerged. The aim of this paper is to summarize the control objectives and development methodologies in the recently proposed MGSC/EMS. At first, a classification of control objectives is made according to the definition of hierarchical control layers in MGs. Then, focusing on MGSC/EMS related studies, a detailed methodology review is given with emphasis on representative applications and research works. Finally, the conclusions are summarized and the proposals of future research directions in this area are given.