https://shop.theiet.org:443/editors/badre-bossoufiBadre Bossoufihttps://shop.theiet.org:443/cybersecurity-and-control-of-microgrids-with-wind-pv-and-battery-systems<p xmlns="http://ns.editeur.org/onix/3.0/reference">The increasing adoption of renewable energy is driven by the need to mitigate climate change and address environmental concerns. In this context, microgrids are emerging as an effective solution for improving energy reliability, sustainability, and resilience. However, the intermittency and uncertainty of renewable energy production significantly complicate efficient and reliable energy management. Robust and effective control methods are therefore essential in managing energy supply, and those control systems must be secure and resilient.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference"><i>Cybersecurity and Control of Microgrids with Wind, PV, and Battery Systems</i> seeks to address the opportunities and challenges presented by microgrid technology. The book covers energy management and planning as well as various applications and innovative technologies. Chapters address advances in Microgrid Energy Management Systems, renewable energy based DC microgrids, fuzzy decision-making, cyber-resilient adaptive control, model-in-the-loop testing, metaheuristic approach, cybersecurity, and in Part II, cryptocurrency mining and energy trading, green hydrogen systems, reverse osmosis desalination, as well as innovation ecosystems, and AI in energy management.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">This thorough and thoughtfully-structured reference is intended for researchers, operators at electric utilities, and anyone involved with managing microgrids and their cybersecurity and control.</p>Fri, 06 Nov 2026 15:09:57 GMThttps://shop.theiet.org:443/cybersecurity-and-control-of-microgrids-with-wind-pv-and-battery-systemshttps://shop.theiet.org:443/energy-management-systems-for-microgrids-with-wind-pv-and-battery-storage<p xmlns="http://ns.editeur.org/onix/3.0/reference">Growing shares of intermittent clean generation as well as variable loads lead to challenges for distribution systems at all levels. Energy management systems (EMS) are systems of computer-aided tools used by operators of electric utility grids to monitor, control, and optimize the performance of the generation, distribution or transmission system. EMS help to ensure grid stability and power quality, and can also be used in smaller scale systems such as microgrids.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference"><i>Energy Management Systems for Microgrids with Wind, PV and Battery Storage</i> gives a broad overview of EMS technologies for researchers, designers, operators at electric utilities involved with managing power systems, as well as advanced energy engineering students working on power systems.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">Chapters cover AC network performance with flexible alternating current transmission system (FACTS) devices, metaheuristic optimization and hidden neuron count effect on microgrid management. Ensuing chapters will focus on microgrids with storage, with control of microgrids with renewables and storage, while several chapters look at wind energy in smart grids, battery charge in wind turbines, field-programmable gate array for wind turbines, fuzzy logic for wind energy, and classical Boolean methods for hybrid systems with wind, PV and batteries. Later chapters convey model predictive control and particle swarm optimization, and integration of and energy management for EV with support vector regression.</p>Tue, 21 Jan 2025 10:16:19 GMThttps://shop.theiet.org:443/energy-management-systems-for-microgrids-with-wind-pv-and-battery-storage