Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems

  • Mohamed Abdelaziz Mohamed
  • Ali Mohamed Eltamaly

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 121)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Mohamed Abdelaziz Mohamed, Ali Mohamed Eltamaly
    Pages 1-10
  3. Mohamed Abdelaziz Mohamed, Ali Mohamed Eltamaly
    Pages 11-21
  4. Mohamed Abdelaziz Mohamed, Ali Mohamed Eltamaly
    Pages 39-51
  5. Mohamed Abdelaziz Mohamed, Ali Mohamed Eltamaly
    Pages 53-60
  6. Mohamed Abdelaziz Mohamed, Ali Mohamed Eltamaly
    Pages 61-62
  7. Back Matter
    Pages 63-75

About this book


This book presents a comprehensive definition of smart grids and their benefits, and compares smart and traditional grids. It also introduces a design methodology for stand-alone hybrid renewable energy system with and without applying the smart grid concepts for comparison purposes. It discusses using renewable energy power plants to feed loads in remote areas as well as in central power plants connected to electric utilities. Smart grid concepts used in the design of the hybrid renewable power systems can reduce the size of components, which can be translated to a reduction in the cost of generated energy. The proposed hybrid renewable energy system includes wind, photovoltaic, battery, and diesel, and is used initially to feed certain loads, covering the load required completely. The book introduces a novel methodology taking the smart grid concept into account by dividing the loads into high and low priority parts. The high priority part should be supplied at any generated conditions. However, the low priority loads can be shifted to the time when the generated energy from renewable energy sources is greater than the high priority loads requirements. The results show that the use of this smart grid concept reduces the component size and the cost of generated energy compared to that without dividing the loads. The book also describes the use of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) to optimally design the hybrid renewable energy system.

This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system’s design and sizing.

It also helps readers understand the dispatch methodology and how to connect the system’s different components, their modeling, and the cost analysis of the system.


Smart Grid Optimization Hybrid Renewable Energy Systems optimization Optimum Sizing Demand Profile Shaping Particle Swarm Optimization

Authors and affiliations

  • Mohamed Abdelaziz Mohamed
    • 1
  • Ali Mohamed Eltamaly
    • 2
  1. 1.Electrical Engineering DepartmentMinia UniversityMiniaEgypt
  2. 2.Electrical Engineering DepartmentMansoura UniversityMansouraEgypt

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-64794-4
  • Online ISBN 978-3-319-64795-1
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site
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