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Open AccessJournal ArticleDOI

Energy Management of Microgrids for Smart Cities: A Review

TLDR
A comprehensive overview of a range of technologies and techniques, and their solutions, for managing the drawbacks of renewable energy supplies, such as variability and load fluctuations, while still matching energy demands for their integration in the microgrids of smart cities are provided.
Abstract
Electric power reliability is one of the most important factors in the social and economic evolution of a smart city, whereas the key factors to make a city smart are smart energy sources and intelligent electricity networks. The development of cost-effective microgrids with the added functionality of energy storage and backup generation plans has resulted from the combined impact of high energy demands from consumers and environmental concerns, which push for minimizing the energy imbalance, reducing energy losses and CO2 emissions, and improving the overall security and reliability of a power system. It is now possible to tackle the problem of growing consumer load by utilizing the recent developments in modern types of renewable energy resources (RES) and current technology. These energy alternatives do not emit greenhouse gases (GHG) like fossil fuels do, and so help to mitigate climate change. They also have in socioeconomic advantages due to long-term sustainability. Variability and intermittency are the main drawbacks of renewable energy resources (RES), which affect the consistency of electric supply. Thus, utilizing multiple optimization approaches, the energy management system determines the optimum solution for renewable energy resources (RES) and transfers it to the microgrid. Microgrids maintain the continuity of power delivery, according to the energy management system settings. In a microgrid, an energy management system (EMS) is used to decrease the system’s expenses and adverse consequences. As a result, a variety of strategies and approaches are employed in the development of an efficient energy management system. This article is intended to provide a comprehensive overview of a range of technologies and techniques, and their solutions, for managing the drawbacks of renewable energy supplies, such as variability and load fluctuations, while still matching energy demands for their integration in the microgrids of smart cities.

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Journal ArticleDOI

Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review

TL;DR: In this paper , a systematic literature review using the PRISMA protocol was employed as the methodological approach to investigate the ways smart cities promote sustainability in the electricity sector, where 154 journal articles were thoroughly analyzed and grouped according to the themes and categorized into energy efficiency, renewable energies, and energy and urban planning.
Journal ArticleDOI

Energy-efficient SDN for Internet of Things in smart city

TL;DR: In this article , an energy-saving multi-layer virtual traffic scheduling algorithm is proposed, and an empirical study is carried out to provide an improvement direction for the development of Internet of Things technology and the construction of smart cities; when the traffic prediction algorithm is combined with the virtual topology energy conservation control algorithm, the network structure change is reduced and the network stability is increased in this study.
Journal ArticleDOI

Energy and Sustainable Development in Smart Cities: An Overview

TL;DR: In this article , the management and evolution of energy generation, various storage systems and the applications they serve, and infrastructure technology's current condition and future prospects are examined, and the study also examines energy-related construction and transportation systems and technologies.
Journal ArticleDOI

Energy Scheduling and Performance Evaluation of an e-Vehicle Charging Station

TL;DR: In this article , an energy management system (EMS) for a photovoltaic (PV) grid-connected charging station with a battery energy storage system (BESS) is proposed.
Journal ArticleDOI

A Review of Microgrid Energy Management Strategies from the Energy Trilemma Perspective

TL;DR: In this paper , the authors present a classification of the MG control and optimization methods, their objectives, and help in understanding the MG operational and EMS challenges from the perspective of the energy trilemma (flexibility, affordability, and security).
References
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Journal ArticleDOI

Role of renewable energy sources in environmental protection: A review

TL;DR: In this paper, a review has been done on scope of CO2 mitigation through solar cooker, water heater, dryer, biofuel, improved cookstove and by hydrogen, which provides an excellent opportunity for mitigation of greenhouse gas emission and reducing global warming through substituting conventional energy sources.
Journal ArticleDOI

Smart cities of the future

TL;DR: The state of the art, explaining the science of smart cities is defined and seven project areas are proposed: Integrated Databases for the Smart City, Sensing, Networking and the Impact of New Social Media, Modelling Network Performance, Mobility and Travel Behaviour, Modelled Urban Land Use, Transport and Economic Interactions, Decision Support as Urban Intelligence, Participatory Governance and Planning Structures for the smart city.
Journal ArticleDOI

State of the Art in Research on Microgrids: A Review

TL;DR: This paper presents a review of issues concerning microgrid issues and provides an account of research in areas related to microgrids, including distributed generation, microgrid value propositions, applications of power electronics, economic issues, micro grid operation and control, micro grids clusters, and protection and communications issues.
Journal ArticleDOI

Smart energy management system for optimal microgrid economic operation

TL;DR: In this article, a smart energy management system (SEMS) is presented to optimise the operation of the microgrid, which consists of power forecasting module, energy storage system (ESS) management module and optimisation module.
Journal ArticleDOI

Orthogonal Learning Particle Swarm Optimization

TL;DR: Compared with other PSO algorithms, the comparisons show that OLPSO significantly improves the performance of PSO, offering faster global convergence, higher solution quality, and stronger robustness.
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