Microgrid Technologies

Sharmeela Chenniappan, Sivaraman Palanisamy, P. Sanjeevikumar, Jens Bo Holm-Nielsen, C. Sharmeela, P. Sivaraman, P. Sanjeevikumar, Jens Bo Holm-Nielsen, C. Sharmeela, P. Sivaraman, P. Sanjeevikumar, Jens Bo Holm-Nielsen

• Publisher: Wiley-Scrivener
• Year: 2021
• Print ISBN: 9781119710790
• eBook ISBN: 9781119710875
• Edition: 1
• Topic: Computer Science
• Subtopic: Client-Server Computing
• Index: Computer Science

Microgrid technology is an emerging area, and it has numerous advantages over the conventional power grid. A microgrid is defined as Distributed Energy Resources (DER) and interconnected loads with clearly defined electrical boundaries that act as a single controllable entity concerning the grid. Microgrid technology enables the connection and disconnection of the system from the grid. That is, the microgrid can operate both in grid-connected and islanded modes of operation. Microgrid technologies are an important part of the evolving landscape of energy and power systems.

Many aspects of microgrids are discussed in this volume, including, in the early chapters of the book, the various types of energy storage systems, power and energy management for microgrids, power electronics interface for AC & DC microgrids, battery management systems for microgrid applications, power system analysis for microgrids, and many others.

The middle section of the book presents the power quality problems in microgrid systems and its mitigations, gives an overview of various power quality problems and its solutions, describes the PSO algorithm based UPQC controller for power quality enhancement, describes the power quality enhancement and grid support through a solar energy conversion system, presents the fuzzy logic-based power quality assessments, and covers various power quality indices.

The final chapters in the book present the recent advancements in the microgrids, applications of Internet of Things (IoT) for microgrids, the application of artificial intelligent techniques, modeling of green energy smart meter for microgrids, communication networks for microgrids, and other aspects of microgrid technologies.

Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of microgrids, this is a must-have for any library.

1
A Comprehensive Review on Energy Management in Micro-Grid System

Sanjay Kumar¹*, R. K. Saket², P. Sanjeevikumar³ and Jens Bo Holm-Nielsen³

¹Electrical & Electronics Engineering Department, Centurion University of Technology and Management, Odisha, India

²Electrical Engineering Department, IIT (BHU) Varanasi, India

³Center for Bioenergy and Green Engineering, Department of Energy Technology, Aalborg University, Esbjerg, Denmark

Abstract

Since the last decades there has been a huge exploitation of non-conventional (renewable) energy resources which has increased significantly. A Micro-Grid (MG) presents an appropriate concept to integrate local resources of renewable energy with Storage System of Energy (SSE) and are synchronized to supply the customers’ requirement in different circumstances. Apart from this, the Management System of Energy (MSE) has been analyzed for allocating the output power from the Distributed Generator (DG) units optimally. It also satisfies the local demand, regulates the voltage and frequency of the smart MG, and secures a flat switching between modes, connected to grid and mode of islanded operation. In this article the authors have made an outmost effort about the area of MG–MSE, evolved in the current framework, discussing the storage units and generation of MG, the importance of Electric Vehicles (EVs) as a backup unit, combined heat and power for supplying the thermal requirements, objectives function of MG-MSE and constraints of the systems and current algorithms of optimization.

Keywords: Management System of Energy (MSE), Micro-Grid (MG), Electric Vehicles (EVs), Heat and Power Combination (HPC), optimization algorithms

1.1 Introduction

Previously, fossil fuel represents the popular source of electricity, creating emissions of gaseous pollutant in our environment. This led to the advent of renewable energy sources, which provided clean energy and have become the most suitable choice for mitigating the dependency on fossil fuel as it also decreases the Greenhouse effect from the atmosphere. The other natural resources included solar, wind, ocean, biomass, hydro, and geothermal, etc. and were capable of producing electrical energy.

As per the renewable global status report of 2017, the power sector is mainly concerned about the renewable technologies policy, which gives a facility of integration of it into the existing energy systems. Figure 1.1 shows the universal electricity creation until the end of 2016, and also shows that about 30.28% of the entire power is depicted by means of the renewable sources. The estimation is about 2,017 GW out of 6,660 GW the total global electrical energy capacity. Hydropower takes the 1st position in the production of RE.

Clearly, it is shown in Figure 1.2 that about 16.46% of the total power is supplied by the hydropower. It is 54.34% of the RE. The wind power follows it, which is about 7.3% of the total and 24.15% of renewable sources. Then comes Photovoltaic (PV) power (15.02% of RE), about 4.55% of total power capacity, bio-power (5.55% of RE) is about 1.7%, and others are 0.9%. But in 2016, the newly implemented renewable energy is increased by solar (PV) power (47%), wind power (15.5%) and hydropower (9) compared to 2015 [1].

Figure 1.3 shows the consumption of energy sources like natural gas, coal, renewable sources, nuclear, petroleum and other liquid fuels from the year 1090 to 2040 [2]. According to this, consumption of renewable sources is going to increase by 30% in the duration from 2015 to 2040.

Figure 1.1 The renewable global status report.

Figure 1.2 Consumption of renewable energy sources.

Figure 1.3 Intensification of various energy sources from 1990 to 2040.

Nowadays, maximum research is going on the utility of renewable energy. Micro-grid integration has taken the maximum concentration of researchers. A micro-grid (MG) is a distributed network that includes different possible distributed resources of energy, which can be considered as a single system, that can be optimizable, means can be balanced with generations and loads with a suitable storage system. It is also capable of doing work independently with or without connection with the utility power grid [3].

A micro-grid is a network or an association of local electrical generation resources connected through a common point known as PCC. The micro-grid has one or more renewable generation units, conventional power generation system, the electrical storage system (ESS), the thermal storage system (TSS), electrical loads, and thermal loads. The conventional power generation system can consist of the micro turbine (MT), diesel generator set, etc. Similarly, in renewable generation units, we can make a photovoltaic (PV) generation system, wind turbines, biomass and hydrokinetic system, etc.There are two manners of operation of a micro-grid namely, connected to grid manner, and the other one is island manner. In GC mode a microgrid is in link with the conventional power grid. It is capable of participating in the energy market as a seller or buyer that can exchange energy with the utility. However, in the islanded manner, micro-grid functions as an autonomous body, as disconnected from the utility network. The island condition occurs due to several reasons such as geographical position on earth, brownout and economic issues.

Generally, the microgrids face a problem of supplying demand properly due to insufficient energy generation. This problem is because of the irregularity of loads and the RE sources [4]. So, a management system is required to deal with the problem. This management system is called a management system of energy (MSE).

The management system of energy (MSE) is the collection of different control approaches and different active, ongoing exercises along with hardware and software to mitigate the energy management objectives problems. It is a multiple functionary system. It is a system which distributes the generated power optimally and economically to the load with proper voltage regulation and frequency regulation of the micro-grid. So, we can get a smooth changeover between connected to grid manner and isolated manner of micro-grid systems, according to micro-grid components and real-time load conditions of operation. This system can be used to get high-quality power, sustainability, reliability and environmentally friendly power source.

Due to this, researchers started focusing extensively on MSE strategies for various micro-grids ranging from small home (small scale) to cities or towns (large scale) as shown in the different scales of MG of Figure 1.4.

Exploration has started on a study of the practicability of the parts of micro-grid, and it is modeled by scheduling the DGs, and forecasting the data of environmental conditions such as irradiance of sunray, speed of wind flow and water speed, forecast of energy demand and on availability optimization algorithms in the intention of cost-effective benefits with minimum impact on the atmosphere. Figure 1.5 shows the central micro-grid arrangement and components related to the energy management system. It shows that the research is mainly focused on the resolution of different problems regarding the micro-grid by means of an energy management system.

Figure 1.4 Various ranges of MG.

Figure 1.5 Components of micro-grid.

This is a review of the different features of micro-grid and management of energy that are presented in various current topics, starting from various units of MG, synchronization of components to the recent optimization methodology with system limitations and objective functions for MSE.

Afterwards, the different configuration and components of micro-grid are deployed in Section 1.2. Here the different structures used in an energy management system with various distributed energy sources, various storage systems and different type of load or the consumer behavior are illustrated. Followed by Section 1.3, it depicts the MG–MSE and different modes of operation. Further, Section 1.4 discusses about the recent techniques and algorithms used for optimization in energy management systems. Finally, Section 1.5 concludes the different sections and further deliberates the strategy for further research in this area.

1.2 Generation and Storage System in MicroGrid

1.2.1 Distributed Generation of Electrical Power

In recent years, a great number of researchers are discussing the issues in micro-grids. Nowadays, the verities of micro-grid structures have been presented in the literature. In micro-grid the different distributed generations are utilized because of its geographical characteristic, economic benefits, environmental condition and impact on the surrounding. In Ref. [5], there is a discussion on predictive MSE with its control stra...

Table of contents

• Cover
• Table of Contents
• Title Page
• Copyright
• Foreword
• Acknowledgements
• 1 A Comprehensive Review on Energy Management in Micro-Grid System
• 2 Power and Energy Management in Microgrid
• 3 Review of Energy Storage System for Microgrid
• 4 Single Phase Inverter Fuzzy Logic Phase Locked Loop
• 5 Power Electronics Interfaces in Microgrid Applications
• 6 Reconfigurable Battery Management System for Microgrid Application
• 7 Load Flow Analysis for Micro Grid
• 8 AC Microgrid Protection Coordination
• 9 A Numerical Approach for Estimating Emulated Inertia With Decentralized Frequency Control of Energy Storage Units for Hybrid Renewable Energy Microgrid System
• 10 Power Quality Issues in Microgrid and its Solutions
• 11 Power Quality Improvement in Microgrid System Using PSO-Based UPQC Controller
• 12 Power Quality Enhancement and Grid Support Using Solar Energy Conversion System
• 13 Power Quality Improvement of a 3-Phase-3-Wire Grid-Tied PV-Fuel Cell System by 3-Phase Active Filter Employing Sinusoidal Current Control Strategy
• 14 Application of Fuzzy Logic in Power Quality Assessment of Modern Power Systems
• 15 Applications of Internet of Things for Microgrid
• 16 Application of Artificial Intelligent Techniques in Microgrid
• 17 Mathematical Modeling for Green Energy Smart Meter for Microgrids
• 18 Microgrid Communication
• 19 Placement of Energy Exchange Centers and Bidding Strategies for Smartgrid Environment
• Index
• End User License Agreement