A review of artificial intelligence-based optimization techniques for the sizing of integrated renewable energy systems in smart cities

被引：33

作者：

Kanase-Patil A.B. ^{[1
]}

Kaldate A.P. ^{[1
]}

Lokhande S.D. ^{[2
]}

Panchal H. ^{[3
]}

Suresh M. ^{[4
]}

Priya V. ^{[5
]}

机构：

[1] Division of Sustainable Energy Research, Department of Mechanical Engineering, Sinhgad College of Engineering, Savitribai Phule Pune University, Pune

[2] Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Savitribai Phule Pune University, Pune

[3] Department of Mechanical Engineering, Government Engineering College, Patan

[4] Department of Electronics and Communication Engineering, Kongu Engineering College (Autonomous), Erode

[5] Department of Computer Science and Engineering, Mahendra Institute of Technology, Tiruchengode

来源：

Environmental Technology Reviews | 2020年 / 9卷 / 01期

关键词：

artificial Intelligence; energy management in smart cities; hybrid renewable energy system (HRES); Integrated renewable energy sources (IRES);

D O I：

10.1080/21622515.2020.1836035

中图分类号：

学科分类号：

摘要：

In the Smart City, the Integrated Renewable Energy System (IRES) is playing a crucial role. Integrating the available renewable energy sources is useful in solving energy supply and demand-related issues. For a stable state of energy supply and energy demand, their proper size is needed to adapt to integrated renewable energy sources in the future. To address technical, economic and sizing problems, different algorithms needed to implement the integrated renewable energy scheme, as suggested by various authors. This paper provides a comprehensive review of various topics related to power generation for Smart City based on Integrated Renewable Energy System (IRES). It discusses in detail issues related to the integration of different energy sources, use of smart grids for integration, methods of IRES sizing using software followed by methods of sizing using artificial intelligence algorithms. This article reviews different AI algorithms that focus on the sizing of integrated renewable energy systems in smart cities. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：111 / 136

页数：25

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