Covers the incorporation of AC DC converters and DC transmission in power system analysis.

Batteries are a necessary part of a low-emission energy system, as they can store renewable electricity and assist the grid. Utility-scale batteries, with capacities of several to hundreds of MWh, are particularly important for condominiums, local grid nodes, and EV charging arrays. However, such batteries are expensive and need to be monitored and managed well to maintain capacity and reliability. Artificial intelligence offers a solution for effective monitoring and management of utility-scale batteries.

This book systematically describes AI-based technologies for battery state estimation and modeling for utility-scale Li-ion batteries. Chapters cover utility-scale lithium-ion battery system characteristics, AI-based equivalent modeling, parameter identification, state of charge estimation, battery parameter estimation, offer samples and case studies for utility-scale battery operation, and conclude with a summary and prospect for AI-based battery status monitoring. The book provides practical references for the design and application of large-scale lithium-ion battery systems.

AI for Status Monitoring of Utility-Scale Batteries is an invaluable resource for researchers in battery R&D, including battery management systems and related power electronics, battery manufacturers, and advanced students.

Capacitors are passive electrical components that store energy in an electric field. Applications include electric power conditioning, signal processing, motor starting, and energy storage. The maximum charge a capacitor can hold largely depends on the dielectric material inside. That material is the enabler for the performance. Ongoing development in fields such as high-power electronics, renewable energy, hybrid electric vehicles and electric aircraft, is posing an urgent need for more advanced electrostatic capacitor technology. This book for researchers in industry and academia provides an overview of key dielectric materials for capacitor technology. It covers preparation and characterization of state-of-the art dielectric materials including ceramics, polymers and polymer nanocomposites, for the most popular applications including energy storage, microwave communication and multi-layer ceramic capacitors. The book begins with an introduction to electrostatic capacitor technology, then goes on to cover the following topics: techniques for capacitor dielectrics characterization; dielectric polymers and dielectric metamaterials for high energy capacitors; polymer/nanofiller composites; high-temperature polymer-based dielectrics for electrostatic energy storage; design and simulations of capacitor dielectrics by phase-field computations; rational design on polymer dielectrics; inorganic dielectrics for high-energy-density capacitors; ceramic dielectrics for microwave communication; ceramic dielectrics for MLCCs; and finally two chapters on future prospects for polymers and ceramics.

Advances in Power System Modelling, Control and Stability Analysis captures the variety of new methodologies and technologies that are changing the way modern electric power systems are modelled, simulated and operated. The book is divided into three parts. Part 1 presents research works on power system modelling and includes applications of telegrapher equations, power flow analysis with inclusion of uncertainty, discrete Fourier transformation and stochastic differential equations. Part 2 focuses on power system operation and control and presents insights on optimal power flow, real-time control and state estimation techniques. Finally, Part 3 describes advances in the stability analysis of power systems and covers voltage stability, transient stability, time delays, and limit cycles. A rich mix of theoretical aspects with practical considerations, as well as benchmarks test systems and real-world applications makes this book essential reading for researchers and students in academia and industry in electric power systems modelling and control

Agrivoltaics, also called agricultural-photovoltaics (Agri-PV or APV), integrates solar power generation into an agricultural activity on farmland.

The PV modules not only generate clean energy, but also shield crops from intense sun, drought or wind erosion. The market potential in EU-27, UK, and Switzerland alone is estimated to be 968 GWp if only 1 % of the utilized agricultural area is used for Agri-PV. Interest is swiftly growing amongst scientists, policy makers, and within the farming and energy industries. The challenges lie in the construction of the PV system, choice and ecology of crops, and sowing and harvesting techniques.

Agrivoltaics: Technical, ecological, commercial and legal aspects provides an overview of agrivoltaics, covering existing technical solutions both on system level as well as on the module level. Chapters cover the principles and definition, technological aspects of the PV and the agricultural system, yield prediction, light management, operations and management, ecological and social aspects, commercial, and legal considerations. Legal frameworks in different countries are explained. A short outlook describes how the future of Agri-PV could develop.

The book provides systematic coverage of this emerging topic for researchers, scientists, and engineers involved with PV, farmers, decision makers in PV and agricultural sector, as well as policy makers.

The urgent need to reduce carbon emissions is leading to growing use of renewable electricity, particularly from wind and photovoltaics. However, the intermittent nature of these power sources presents challenges to power systems, which need to ensure high and consistent power quality. Going forward, power systems also need to be able to respond to changes in loads, for example from EV charging. Neither production nor load changes can be predicted precisely, and so there is a degree of uncertainty or fuzziness. One way to meet these challenges is to use a kind of artificial intelligence - fuzzy logic. Fuzzy logic uses variables that may be any real number between 0 and 1, rather than either 0 or 1. It has obvious advantages when used for optimization of alternative and renewable energy systems. The parametric fuzzy algorithm is inherently adaptive because the coefficients can be altered to accommodate requirements and data availability. This book focuses on the use of fuzzy logic and neural networks to control power grids and adapt them to changing requirements. Chapters cover fuzzy inference, fuzzy logic-based control, feedback and feedforward neural networks, competitive and associate neural networks, and applications of fuzzy logic, deep learning and big data in power electronics and systems.

Batteries are of vital importance for storing intermittent renewable energy for stationary and mobile applications. In order to charge the battery and maintain its capacity, the states of the battery - such as the current charge, safety and health, but also quantities that cannot be measured directly - need to be known to the battery management system. State estimation estimates the electrical state of a system by eliminating inaccuracies and errors from measurement data. Numerous methods and techniques are used for lithium-ion and other batteries. The various battery models seek to simplify the circuitry used in the battery management system. This concise work captures the methods and techniques for state estimation needed to keep batteries reliable. The book focuses particularly on mechanisms, parameters and influencing factors. Chapters convey equivalent modelling and several Kalman filtering techniques, including adaptive extended Kalman filtering for multiple battery state estimation, dual extended Kalman filtering prediction for complex working conditions, and particle filtering of safety estimation considering the capacity fading effect. This book is necessary reading for researchers in battery research and development, including battery management systems and related power electronics, for battery manufacturers, and for advanced students in power electronics.

At the heart of modern power electronics converters are power semiconductor switching devices. The emergence of wide bandgap (WBG) semiconductor devices, including silicon carbide and gallium nitride, promises power electronics converters with higher efficiency, smaller size, lighter weight, and lower cost than converters using the established siliconbased devices. However, WBG devices pose new challenges for converter design and require more careful characterization, in particular due to their fast switching speed and more stringent need for protection. Characterization of Wide Bandgap Power Semiconductor Devices presents comprehensive methods with examples for the characterization of this important class of power devices. After an introduction, the book covers pulsed static characterization; junction capacitance characterization; fundamentals of dynamic characterization; gate drive for dynamic characterization; layout design and parasitic management; protection design for double pulse test; measurement and data processing for dynamic characterization; cross-talk consideration; impact of three-phase system; and topology considerations.

Energy provision for low income or remote communities is a difficult challenge, with many still depending on polluting and costly fossil fuels. Transporting energy is a further problem since some communities are only accessible during brief periods of the year. Local energy generation is a key solution, but technical challenges need to be overcome.

This hands-on treatise explores technologies and approaches for accelerating deployment of accessible clean energy and discusses obstacles hindering that deployment. The primary focus is on engineering topics, although contributions from non-engineering application experts are also included. Chapters cover principal aspects of energy provision for low-income communities, low cost and energy-efficient housing designs, solar energy for low-income communities, solar PV integration in residential buildings, rural electrification in low-income communities and in remote communities using wind and solar energy, advances in biofuels production, and as a case study, modelling and forecasting energy mix scenarios for Turkey.

Clean Energy for Low Income Communities: Technology, deployment and challenges offers in-depth discussion of this multidisciplinary topic for an audience of researchers in academia, renewable energy and utilities experts in industry, technology manufacturers and advanced students, as well as energy experts in think tanks and development banks.

District energy (DE) systems use central heating and/or cooling facilities to provide heating and/or cooling services for communities and can be particularly beneficial when integrated with cogeneration plants for electricity and heat. This book provides information on district energy and cogeneration technologies, and the systems that combine them, with a focus on their modelling, analysis and optimization. Topics covered include a brief introduction to district heating and cogeneration; background material on thermodynamics and exergy analyses; models for cogeneration, heating and district heating, and chilling and district cooling; descriptions and analyses of configurations for integrating cogeneration and DE technologies; economics of cogeneration and DE; environmental impact of cogeneration systems, including wastes and carbon dioxide emissions and their allocations; modelling and optimization of cogeneration-based district energy systems accounting for economics and environmental impact; developments and advances in technologies and systems for cogeneration and DE; and future directions. Examples and case studies are included throughout the book to illustrate the material covered, and to demonstrate the importance, benefits and value of cogeneration and district energy technologies in achieving sustainable and efficient energy systems.