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"POWER GRIDS"
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Microgrid dynamics and control
This book discusses relevant microgrid technologies in the context of integrating renewable energy and also addresses challenging issues. The authors summarize long term academic and research outcomes and contributions. In addition, this book is influenced by the authors' practical experiences on microgrids (MGs), electric network monitoring, and control and power electronic systems. A thorough discussion of the basic principles of the MG modeling and operating issues is provided. The MG structure, types, operating modes, modelling, dynamics, and control levels are covered. Recent advances in DC microgrids, virtual synchronousgenerators, MG planning and energy management are examined. The physical constraints and engineering aspects of the MGs are covered, and developed robust and intelligent control strategies are discussed using real time simulations and experimental studies.
eBook
Optimal planning of smart grid with renewable energy resources
\"This book of contributed chapters offers an in-depth knowledge about optimization techniques and renewable energy sources as a basis for approaches related to optimal planning of smart grid with renewable energy sources\"-- Provided by publisher.
Book
Microgrid Planning and Design
<p><b>A PRACTICAL GUIDE TO MICROGRID SYSTEMS ARCHITECTURE, DESIGN TOPOLOGIES, CONTROL STRATEGIES AND INTEGRATION APPROACHES</b> <p><i>Microgrid Planning and Design</i> offers a detailed and authoritative guide to microgrid systems. The editors – noted experts on the topic – explore what is involved in the design of a microgrid, examine the process of mapping designs to accommodate available technologies and reveal how to determine the efficacy of the final outcome. This practical book is a compilation of collaborative research results drawn from a community of experts in 8 different universities over a 6-year period. <p><i>Microgrid Planning and Design</i> contains a review of microgrid benchmarks for the electric power system and covers the mathematical modeling that can be used during the microgrid design processes. The authors include real-world case studies, validated benchmark systems and the components needed to plan and design an effective microgrid system. This important guide: <ul> <li>Offers a practical and up-to-date book that examines leading edge technologies related to the smart grid</li> <li>Covers in detail all aspects of a microgrid from conception to completion</li> <li>Explores a modeling approach that combines power and communication systems</li> <li>Recommends modeling details that are appropriate for the type of study to be performed</li> <li>Defines typical system studies and requirements associated with the operation of the microgrid</li> </ul> <p>Written for graduate students and professionals in the electrical engineering industry, <i>Microgrid Planning and Design</i> is a guide to smart microgrids that can help with their strategic energy objectives such as increasing reliability, efficiency, autonomy and reducing greenhouse gases.
eBook
Artificial intelligence-based energy management systems for smart micro grids
\"Modeling and optimization of energy management systems for micro and mini-grids play an important role in the fields of energy generation dispatch, and peak demand confliction with grid security. This comprehensive reference text provides an in-depth insight into these topics. The text discusses the use of metaheuristic and artificial intelligent (AI) algorithms for developing energy management systems with energy usage prediction for mini and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, blockchain-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies\"-- Provided by publisher.
BOOK
Impacts of grid integration of solar PV and electric vehicle on grid stability, power quality and energy economics: a review
Grid integration of solar photovoltaic (PV) systems and electric vehicles (EVs) has been increasing in recent years, mainly with two motivations: reducing energy cost, and reducing emission. Several research studies focuses on the individual impact of grid integration of PVs and EVs. However, it is worth noting that with the increasing penetration of PVs and EVs, the power grid will be experiencing the combined impact of PV–EV integration. To present a thorough understanding, this study first presents a detailed study on the impact of grid integration of PVs and EVs individually, followed by combined impact of PV and EV, on the aspects of grid stability, power quality and energy economics. It has been identified from the literature review that individually PVs and EVs can negatively affect the grid stability and power quality due to the intermittent nature of PV energy and uncertainty of EV load. However, several research works have reported that coordinated operation of the PVs and EVs can negate the issues arising due to individual integration of PVs and EVs. Furthermore, large-scale penetration of PVs and EVs are expected in future energy market, and coordinated operation of them can potentially help lowering energy costs and carbon footprint.
Journal Article
Electric power grid resilience with interdependencies between power and communication networks – a review
Because of the development of smart grid technology, today's power grid infrastructures are increasingly and heavily coupled with communication networks for many new and existing power applications. The interdependent relationship between the two systems, in which power control relies on the communication system to deliver control and monitoring messages and network devices require power supplies from the electrical grid, brings challenges in the effort to build a highly resilient integrated infrastructure. In this work, the authors summarise existing research on power grid resilience enhancement with the consideration of the interdependencies between power systems and communication networks. They categorise these works according to stages of resilience enhancement (i.e. failure analysis, vulnerability analysis, failure mitigation, and failure recovery) and methodologies (i.e. analytical solutions, co-simulation, and empirical studies). They also identify the limitations of existing works and propose potential research opportunities in this demanding area.
Journal Article
Vehicle-to-grid : a sociotechnical transition beyond electric mobility
This title defines and charts the barriers and future of vehicle-to-grid technology: a technology that could dramatically reduce emissions, create revenue, and accelerate the adoption of battery electric cars. This technology connects the electric power grid and the transportation system in ways that will enable electric vehicles to store renewable energy and offer valuable services to the electricity grid and its markets. To understand the complex features of this emergent technology, the authors explore the current status and prospect of vehicle-to-grid, and detail the sociotechnical barriers that may impede its fruitful deployment. The book concludes with a policy roadmap to advise decision-makers on how to optimally implement vehicle-to-grid and capture its benefits to society while attempting to avoid the impediments discussed earlier in the book.
Book
Big data analytics in smart grids: state-of-the-art, challenges, opportunities, and future directions
Big data has potential to unlock novel groundbreaking opportunities in power grid that enhances a multitude of technical, social, and economic gains. As power grid technologies evolve in conjunction with measurement and communication technologies, this results in unprecedented amount of heterogeneous big data. In particular, computational complexity, data security, and operational integration of big data into power system planning and operational frameworks are the key challenges to transform the heterogeneous large dataset into actionable outcomes. In this context, suitable big data analytics combined with visualization can lead to better situational awareness and predictive decisions. This paper presents a comprehensive state-of-the-art review of big data analytics and its applications in power grids, and also identifies challenges and opportunities from utility, industry, and research perspectives. The paper analyzes research gaps and presents insights on future research directions to integrate big data analytics into power system planning and operational frameworks. Detailed information for utilities looking to apply big data analytics and insights on how utilities can enhance revenue streams and bring disruptive innovation are discussed. General guidelines for utilities to make the right investment in the adoption of big data analytics by unveiling interdependencies among critical infrastructures and operations are also provided.
Journal Article