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A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications

TLDR
Light is shed on DC microgrid architecture, control structure, and EMS with an extensive literature survey on EMSs’ role, different methods and strategies related to microgrid energy management are covered in this article.
Abstract
The fast depletion of fossil fuels and the growing awareness of the need for environmental protection have led us to the energy crisis. Positive development has been achieved since the last decade by the collective effort of scientists. In this regard, renewable energy sources (RES) are being deployed in the power system to meet the energy demand. The microgrid concept (AC, DC) is introduced, in which distributed energy resources (DERs), the energy storage system (ESS) and loads are interconnected. DC microgrids are appreciated due to their high efficiency and reliability performance. Despite its significant growth, the DC microgrid is still relatively novel in terms of grid architecture and control systems. In this context, an energy management system (EMS) is essential for the optimal use of DERs in secure, reliable, and intelligent ways. Therefore, this paper strives to shed light on DC microgrid architecture, control structure, and EMS. With an extensive literature survey on EMSs’ role, different methods and strategies related to microgrid energy management are covered in this article. More attention is centered on the EMS for DC microgrids in terms of size and cost optimization. A very concise analysis of multiple optimization methods and techniques has been presented exclusively for residential applications.

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- 01 May 2022 - 
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Recent Techniques Used in Home Energy Management Systems: A Review

TL;DR: In this paper , the authors present a comprehensive systematic review of the literature on optimization techniques recently used in the development of home energy management systems, also taking into account the key factors that can influence the development at a technical and computational level.
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Energy Management Method of Hybrid AC/DC Microgrid Using Artificial Neural Network

TL;DR: This paper proposes an artificial neural network (ANN)-based energy management system (EMS) for controlling power in AC–DC hybrid distribution networks and controls each power converter in the optimal operation mode through the already trained ANN in the grid-connected mode.
References
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Journal Article

The European commission

TL;DR: This research examines the interaction between demand and socioeconomic attributes through Mixed Logit models and the state of art in the field of automatic transport systems in the CityMobil project.
Journal ArticleDOI

Hierarchical control of droop-controlled DC and AC microgrids — a general approach towards standardization

TL;DR: The hierarchical control derived from ISA-95 and electrical dispatching standards to endow smartness and flexibility to MGs is presented and results are provided to show the feasibility of the proposed approach.
Journal ArticleDOI

Review on supercapacitors: Technologies and materials

TL;DR: In this article, the technologies and working principles of different materials used in supercapacitors are explained, together with brief explanations of their properties, such as specific surface area and capacitance values.
Journal ArticleDOI

DC Microgrids—Part I: A Review of Control Strategies and Stabilization Techniques

TL;DR: In this paper, a review of control strategies, stability analysis, and stabilization techniques for dc microgrids is presented, where overall control is systematically classified into local and coordinated control levels according to respective functionalities in each level.
Journal ArticleDOI

AC-microgrids versus DC-microgrids with distributed energy resources: A review

TL;DR: In this article, the authors present a comprehensive literature review of AC and DC microgrid (MG) systems in connection with distributed generation (DG) units using renewable energy sources (RESs), energy storage systems (ESS) and loads.
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