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This book presents selected articles from India Smart Grid Week (ISGW 2018), held on March 5 to 9, 2018, at the Manekshaw Centre, New Delhi, India. It was the fourth conference and exhibition on smart grids and smart cities organized by the India Smart Grid Forum (ISGF), a Government of India public–private partnership, tasked with accelerating smart grid deployment across the country. Providing current-scenario-based updates on the Indian power sector, the book also highlights various disruptive technologies.

This book presents selected articles from INDIA SMART GRID WEEK (ISGW 2017), which is the third edition of the Conference cum Exhibition on Smart Grids and Smart Cities, organized by India Smart Grid Forum from 07-10 March 2017 at Manekshaw Centre, Dhaula Kuan, New Delhi, India. ISGF is a public private partnership initiative of the Ministry of Power, Govt. of India with the mandate of accelerating smart grid deployments across the country. This book gives current scenario updates of Indian power sector business. It also highlights various disruptive technologies for power sector business.

Computational methods in Power Systems require significant inputs from diverse disciplines, such as data base structures, numerical analysis etc. Strategic decisions in sparsity exploitation and algorithm design influence large-scale simulation and high-speed computations. Selection of programming paradigm shapes the design, its modularity and reusability. This has a far reaching effect on software maintenance. Computational Methods for Large Sparse Power Systems Analysis: An Object Oriented Approach provides a unified object oriented (OO) treatment for power system analysis. Sparsity exploitation techniques in OO paradigm are emphasized to facilitate large scale and fast computing. Specific applications like large-scale load flow, short circuit analysis, state estimation and optimal power flow are discussed within this framework. A chapter on modeling and computational issues in power system dynamics is also included. Motivational examples and illustrations are included throughout the book. A library of C++ classes provided along with this book has classes for transmission lines, transformers, substation etc. A CD-ROM with C++ programs is also included. It contains load flow, short circuit analysis and network topology processor applications. Power system data is provided and systems up to 150 buses can be studied. Other Special Features: This book is the first of its kind, covering power system applications designed with an OO perspective. Chapters on object orientation for modeling of power system computations, data structure, large sparse linear system solver, sparse QR decomposition in an OO framework are special features of this book.

Energy Efficiency and Management of Power and Energy Systems introduces students and researchers to a broad range of power system management challenges, technologies, and solutions. This book begins with an analysis of system technology's current state, the most pressing problems, and the background to challenges in integrating renewable energy sources. Technologies including smart grids, green building, and worker requirements are covered. Subsequent chapters break down potential management solutions, including specific problem-solving for solar, wind, and hybrid systems. Finally, specific case studies from a global geographical range zero in on critical questions facing the present industry. Providing meticulously researched literature reviews for guiding deeper reading, Energy Efficiency and Management of Power and Energy Systems leads readers from contextual understanding to specific case studies and solutions for sustainable power systems. - Addresses the challenges and solutions related to integrating renewable energy sources into the power grid, focusing on maintaining power quality and enhancing energy efficiency - Provides a comprehensive reference with extensive guidance on deeper reading - Develops understanding and solution design using case studies from a global range of geographies with differing power needs and resources - Guides readers through evaluation and analysis of the capabilities and limitations of a range of modern technologies

This edited volume brings together contributions from multiple experts in academia to explore the practical implications of the Net Zero Economy for corporate social responsibility and sustainable value creation in today's world. As the world approaches net-zero emissions by 2050, it is crucial for businesses to take corporate social responsibility seriously and make credible attempts to achieve sustainable value creation while reducing their greenhouse gas emissions. The book provides a comprehensive guide to navigating the complexities of corporate responsibility in the net-zero economy, drawing on the expertise of scholars in sustainable supply chain, environmental sciences, management, sustainable business management, and social sciences. With contributions from multiple experts, it examines the challenges that businesses face in reducing their climate impact and highlights the green growth opportunities that they can take advantage of in the net-zero transition. This edited volume is an essential read for students, research scholars, and industrial professionals working in sustainable development, eco-friendly business management, and corporate social responsibility.

This book combines the fundamentals of economics, technology, and policy in deriving feasible solutions to facilitate the large-scale development of renewables in the ASEAN. A unique feature of this book is documenting that achieving large-scale renewables deployment inevitably requires combining these three distinct but interrelated forces of economics, technology, and policy. The economic foundations are guided by the microeconomic foundations grounded on economic efficiency and the associated market designs to deliver short-run economic efficiency including the application of auction designs and cost-benefit analysis. The role of battery technology and utility-scale batteries as enabling technologies for large-scale deployment of renewable energy is evidenced through energy modeling techniques. This book also pays particular emphasis on identifying key policy barriers of large-scale renewable development and pathways to overcome them such as the importance of carbon pricing in ASEANcountries and cross-border electricity trade to improve energy security by achieving clean energy targets. Country-specific case studies and regional case studies are used to study the economic, technological, and policy facets of large-scale renewable development with a view to derive policy lessons and recommendations in decarbonizing economic regions such as the ASEAN. The case studies are carefully selected and supported by rigorous data analysis and modeling as appropriate. This book on energy economics and policy is highly recommended to readers who seek an in-depth and robust overview on the recent empirical evidences of facilitating the large-scale development of renewables with a particular reference to the ASEAN and Asian economies including India and China.

This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions.Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.

This book provides rigorous discussions, case studies, and recent developments in the emerging areas of a control system, especially load frequency control, wide-area monitoring, control and instrumentation, optimization, intelligent control, energy management system, SCADA systems, etc. The readers would be benefitted from enhancing their knowledge and skills in the domain areas. Also, this book may help the readers in developing new and innovative ideas. The book can be a valuable reference for researchers and professionals interested in developments in the control system.

This book comprises peer-reviewed proceedings of the International Conference on Smart Energy and Advancement in Power Technologies (ICSEAPT-2021). The book includes peer-reviewed papers on renewable energy economics and policy, renewable energy resource assessment, operations management and sustainability, energy audit, global warming, waste and resource management, green energy deployment, green buildings, integration of green energy, energy efficiency, etc. The book serves as a valuable reference resource for academics and researchers across the globe.

This book presents selected articles from INDIA SMART UTILTY WEEK (ISUW 2021), which is the seventh edition of the Conference cum Exhibition on Smart Grids and Smart Cities, organized by India Smart Grid Forum from 02-05 March 2021, in New Delhi, India. ISGF is a public private partnership initiative of the Ministry of Power, Govt. of India with the mandate of accelerating smart grid deployments across the country. This book gives current scenario updates of Indian power sector business. It also highlights various disruptive technologies for power sector business.

This book provides a comprehensive study on state-of-the-art developments in the control, operation, and market participation of active buildings (ABs). Active buildings can support the broader energy system by intelligent integration of renewable-based energy technologies for heating, cooling, electricity, and transport. This important reference analyzes the key features of modern control and operation techniques applied to these systems. Contributions from an international team of experts present practical methods with evidence and case studies from applications to real-world or simulated active buildings. Sample computer codes and analytical examples aid in the understanding of the presented methods. The book will support researchers working on the control and operation of buildings as an energy system, smart cities and smart grids, and microgrids, as well as researchers and developers from the building and energy engineering, economic, and operation research fields.Provides an in-depth review of building-level energy systems technologies;Covers codes, standards, and requirements for active building control systems;Includes sample computer code and analytical examples.

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

The objective of this textbook is to introduce students and professionals to fundamental principles and techniques and emerging technologies in energy informatics and the digitalization of power markets and systems. The book covers such areas as smart grids and artificial intelligence (AI) and distributed ledger technology (DLT), with a focus on information and communication technologies (ICT) deployed to modernize the electric energy infrastructure. It also provides an overview of the smart grid and its main components: smart grid applications at transmission, distribution, and customer level, network requirements with communications technologies, and standards and protocols. In addition, the book addresses emerging technologies and trends in next-generation power systems, i.e., energy informatics, such as digital green shift, energy cyber-physical-social systems (E-CPSS), energy IoT, energy blockchain, and advanced optimization. Future aspects of digitalized power markets and systems will be discussed with real-world energy informatics projects. The book is designed to be a core text in upper-undergraduate and graduate courses such as Introduction to Smart Grids, Digitalization of Power Systems, and Advanced Power System Topics in Energy Informatics.

Energy usage and consumption continue to rise globally each year, with the most efficient and cost-effective energy sources causing huge impacts to the environment. In an effort to mitigate harmful effects to the environment, implementing clean energy resources and utilizing green energy management strategies have become worldwide initiatives, with many countries from all regions quickly becoming leaders in renewable energy usage. Still, not every energy resource is without flaws. Researchers must develop effective and low-cost strategies for clean energy in order to find the balance between production and consumption. The Research Anthology on Clean Energy Management and Solutions provides in-depth research that explores strategies and techniques used in the energy production field to optimize energy efficiency in order to maintain clean and safe use while delivering ample energy coverage. The anthology also seeks solutions to energy that have not yet been optimized or are still produced in a way that is harmful to the environment. Covering topics such as hydrogen fuel cells, renewable energy, solar power, solar systems, cost savings, and climate protection, this text is essential for electrical engineers, nuclear engineers, environmentalists, managers, policymakers, government officials, professionals in the energy industry, researchers, academicians, and students looking for the latest research on clean energy management.

This book aims to solve some key problems in the decision and optimization procedure for power market organizers and participants in data-driven approaches. It begins with an overview of the power market data and analyzes on their characteristics and importance for market clearing. Then, the first part of the book discusses the essential problem of bus load forecasting from the perspective of market organizers. The related works include load uncertainty modeling, bus load bad data correction, and monthly load forecasting. The following part of the book answers how much information can be obtained from public data in locational marginal price (LMP)-based markets. It introduces topics such as congestion identification, componential price forecasting, quantifying the impact of forecasting error, and financial transmission right investment. The final part of the book answers how to model the complex market bidding behaviors. Specific works include pattern extraction, aggregated supply curve forecasting, market simulation, and reward function identification in bidding. These methods are especially useful for market organizers to understand the bidding behaviors of market participants and make essential policies. It will benefit and inspire researchers, graduate students, and engineers in the related fields.

This book analyzes new electricity pricing models that consider uncertainties in the power market due to the changing behavior of market players and the implementation of renewable distributed generation and responsive loads. In-depth chapters examine the different types of market players including the generation, transmission, and distribution companies, virtual power plants, demand response aggregators, and energy hubs and microgrids. Expert authors propose optimal operational models for short-term performance and scheduling and present readers with solutions for pricing challenges in uncertain environments. This book is useful for engineers, researchers and students involved in integrating demand response programs into smart grids and for electricity market operation and planning.Proposes optimal operation models;Discusses the various players in today's electricity markets;Describes the effects of demand response programs in smart grids.

This book explores links and synergies between international trade and two of the most urgent challenges of the 21st century: achieving sustainable energy (i.e., energy that is affordable, secure, and clean) and mitigating climate change. It takes the unique approach of not only examining how international trade can help achieve energy and climate goals, but also the impact of emerging tools and technologies such as smart grids and demand response, and the potential role and impact of citizens and prosumers. The book analyzes energy- and trade-related regulations in a range of jurisdictions to assess how conducive the regulation is towards achieving sustainable energy, and identifies gaps and overlaps in the existing legal framework.

This book describes the common ground between electricity markets (EMs) and software agents (or artificial intelligence generally). It presents an up-to-date introduction to EMs and intelligent agents, and offers a comprehensive description of the research advances and key achievements related to existing and emerging market designs to reliably and efficiently manage the potential challenges of variable generation (VG). Most EMs are unique in their complex relationships between economics and the physics of energy, but were created without the notion that large penetrations of variable generation (VG) would be part of the supply mix. An advanced multi-agent approach simulates the behavior of power markets over time, particularly markets with large-scale penetrations of renewable resources. It is intended as a reference book for researchers, academics and industry practitioners, but given the scope of the chapters and the highly accessiblestyle, the book also provides a coherent foundation for several different graduate courses.

This book presents a state-of-the-art compilation focusing on both technological and policy aspects of sustainable energy production and consumption, which deals with issues like the need for and planning of smart cities, alternative transport fuel options, sustainable power production, pollution control technologies etc. The book comprises contributions from experts from all over the world, and addresses energy sustainability from different viewpoints. Specifically, the book focuses on energy sustainability in the Indian scenario with a background of the global perspective. Contributions from academia, policy makers and industry are included to address the challenge from different perspectives. The contents of this book will prove useful to researchers, professionals, and policy makers working in the area of green and sustainable energy.

This book focuses on the issues of integrating large-scale renewable power generation into existing grids. The issues covered in this book include different types of renewable power generation along with their transmission and distribution, storage and protection. It also contains the development of medium voltage converters for step-up-transformer-less direct grid integration of renewable generation units, grid codes and resiliency analysis for large-scale renewable power generation, active power and frequency control and HVDC transmission. The emerging SMES technology for controlling and integrating large-scale renewable power systems is also discussed. Since the protection issues with large-scale distributed renewable power systems are different compared to the existing protection system for one way power flow, this book includes a new protection technique for renewable generators along with the inclusion of current status of smart grid. This book is a good reference for the researchers who are working the area of renewable power generation and smart grids.

Whilst financial rights have appeared as a successful ingredient in North-American power markets, they have their shortcomings both theoretically and in practice. Financial Transmission Rights: Analysis, Experiences and Prospects present a systematic and comprehensive overview of financial transmission rights (FTRS).Following a general introduction to FTRs, including chapters to explain transmission pricing and the general properties of FTRS, experts in the field provide discussions on wide scope of topics. These include:Varying perspectives on FTRS: from electrical engineers to economists,Different mathematical formulations of FTRSFinancial Hedging using FTRS, andAlternative solutions to FTRs The detail, expertise and range of content makes Financial Transmission Rights: Analysis, Experiences and Prospect an essential resource for electricity market specialists both at academic and professional levels.“This is THE BOOK we were all expecting to address all key ‘Financial Transmission Rights'issues. It is comprehensive and reader friendly. You can pick at will in its menu: more or less theory, a bit of maths or none, empirical review of real cases or numerical simulations of many feasible options. Big names rally there to delight you like: Hogan, Oren, Perez-Arriaga, Smeers, Hobbs and… Rosellón. More than a must read: a light house, a map and a survival kit.” Jean – Michel Glachant, Director Florence School, Holder Loyola de Palacio Chair, Chief-editor Economics of Energy & Environmental Policy.'In the last two decades, economists have developed a better understanding of the impact of financial rights on risk management, market power and network expansion in electricity markets, while power systems have experimented with such rights. Striking a good balance between academics and practitioners, always at the frontier of the field, written bythe best experts, this volume is essential reading for all those- power systems'managers and users, regulators, students and researchers- who want to understand the new electricity environment and predict its evolution.'Jean Tirole, Toulouse School of Economics and Institute for Industrial Economics (IDEI)Further comments inside.

Power Quality Enhancement Using Custom Power Devices considers the structure, control and performance of series compensating DVR, the shunt DSTATCOM and the shunt with series UPQC for power quality improvement in electricity distribution.Also addressed are other power electronic devices for improving power quality in Solid State Transfer Switches and Fault Current Limiters. Applications for these technologies as they relate to compensating busses supplied by a weak line and for distributed generation connections in rural networks, are included. In depth treatment of inverters to achieve voltage support, voltage balancing, harmonic suppression and transient suppression in realistic network environments are also covered. New material on the potential for shunt and series compensation which emphasizes the importance of control design has been introduced.

Electric power engineering occupies the most dominant role in provision of the population with energy. The advantages of electric power and energy systems are universal and easily being converted into various other types of energy, easiness and cheapness of its transportation, accessibility for massive amounts of end users and practically capable to actuate directly all existing technical means. The book chapters and materials are very efficient in theoretical and application issues and are highly recommended for studying and considering in educational and research fields.

Synchronized Phasor Measurements and Their Applications is an account of the field of synchronized Phasor Measurement technology, its beginning, its technology and its principal applications. It is a book on wide Area Measurements (WAM) and their applications. The measurements are done using GPS systems and eventually will replace the existing technology. The authors created the field about 20 years ago and with the blackouts occurring in major power systems around the world, it is currently of great technical interest in electrical power engineering. Most of the installations planned or now in existance around the world are based on the authors'work.

Digital Control of Electrical Drives offers insight into electric drives and their usage in motion control environment. It provides links among electrical machine and control theory, practical hardware aspects, programming issues, and application-specific problems. The book prepares the reader to understand the key elements of motion control systems, analyze and design discrete-time speed and position controllers, set adjustable feedback parameters, and evaluate closed-loop performances. Basic engineering principles are used to derive the controller structure in an intuitive manner, so that designs are easy to comprehend, modify, and extend. Digital Control of Electrical Drives helps the reader acquire practical skills in designing discrete-time speed and position controllers. Each chapter is followed by a set of Matlab® and Simulink® tools which help readers master the phases of design, tuning, simulation, and evaluation of discrete time controllers, and foresee the effects of control solution on the overall motion control system. Readers will also understand the present performance limits of digital motion controllers.

In der Dissertation werden Anwendungen der stochastischen Optimierung im Stromhandel und beim Erdgastransport vorgestellt. Ziel ist es, mathematische Modelle zu entwickeln, die die konkreten Fragestellungen hinreichend genau abbilden und gleichzeitig optimale Entscheidungen unter Ungewissheit noch berechenbar machen. Dabei sind die in den Problemen vorkommenden Nichtlinearitäten geeignet zu approximieren, um gemischt-ganzzahlige lineare Probleme zu erhalten, die vergleichsweise gut zu lösen sind. Zunächst werden einige Grundlagen der zweistufigen stochastischen Optimierung vorgestellt und verschiedene Lösungsverfahren benannt. Ausführlich wird auf einen Algorithmus zur zweistufigen stochastischen Optimierung gemischt-ganzzahliger linearer Probleme eingegangen. Mittels Szenariodekomposition über eine Lagrange-Relaxation der Nicht-Antizipativitätsbedingungen und in Kombination mit einem Branch-and-Bound-Verfahren macht er sich die Struktur der betrachteten sehr großen Optimierungsprobleme zu Nutze. Dieser Algorithmus dient zur Lösung der Anwendungen. In der ersten Anwendung geht es um die simultane Optimierung der Stromproduktion mit einem hydrothermischen Kraftwerkssystem und des Stromhandels eines Preisführers an einer Vortagesbörse, d. h. eines Marktteilnehmers, der die Preise spürbar beeinflussen kann. Vorgestellt wird ein gemischt-ganzzahliges lineares Modell zur optimalen Blockauswahl für ein Erzeugungssystem. Einige Nichtlinearitäten werden geeignet approximiert. Für den Börsenhandel wird ein ebenfalls gemischt-ganzzahliges lineares Modell entwickelt, welches das Produktionsmodell erweitert. Ziel ist es, die Kosten für die Produktion und den hinzugekauften Strom zu minimieren sowie die Einnahmen aus dem Stromverkauf zu maximieren – unter der Ungewissheit über die Gebote der anderen Marktteilnehmer. Der leitungsgebundene Erdgastransport bei ungewissem Bedarf wird als zweite Anwendung der zweistufigen stochastischen Optimierung behandelt. Gegeben ist ein Erdgastransportsystem, mit dessen Hilfe Gas über große Entfernungen zu Verbrauchsregionen befördert wird. Das Strömungsverhalten des Gases in den Leitungen sowie seine Kompression in Verdichtern stellen aufgrund der Nichtlinearitäten und der Betrachtung von Zeitperioden eine besondere Herausforderung bei der Modellierung und Lösung dar. In den Verdichtern und beim Schalten von Systemelementen entstehen zu minimierende Kosten. Es wird eine gemischt-ganzzahlige lineare Beschreibung des Problems entwickelt. Insgesamt gelingt es, geeignete Modellierungen für zwei Optimierungsprobleme aus der Energiewirtschaft zu finden. Sie werden mit dem praxisnahen Ansatz der zweistufigen stochastischen Optimierung – optimale Entscheidungen unter Ungewissheit – verbunden. Die Optimierungsprobleme werden aufgrund der Modellierung und dank der Nutzung moderner mathematischer Algorithmen und Software für konkrete reale Anwendungsbeispiele in praxistauglichen Rechenzeiten gelöst.