Renewable-Based Microgrids: Design, Control and Optimization

doi:10.3390/books978-3-0365-8577-2

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Renewable-Based Microgrids: Design, Control and Optimization

Edited by

August 2023

244 pages

ISBN978-3-0365-8576-5 (Hardback)
ISBN978-3-0365-8577-2 (PDF)

https://doi.org/10.3390/books978-3-0365-8577-2

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This book is a reprint of the Special Issue Renewable-Based Microgrids: Design, Control and Optimization that was published in

Biology & Life Sciences

Chemistry & Materials Science

Computer Science & Mathematics

Engineering

Environmental & Earth Sciences

Physical Sciences

Summary

This Special Issue aimed to collate recent works regarding the planning and control of energy systems. In particular, this Special Issue focuses on microgrids. This kind of system enables optimal integration of renewable energy sources, electric vehicles, energy storage, and demand-side management strategies, thus proposing a valuable framework through which to implement the decarbonization of the electricity sector.

Special attention is given to those works devoted to systems with high penetration of renewables and advanced demand response strategies. Literature reviews are also included in this Special Issue, and some real-life experiences are described and analyzed.

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Hardback

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Keywords

optimization algorithm; control system; renewable energy; PSO; GWO; battery storage energy; electric vehicle; photovoltaics; BESS; optimization; AOA algorithm; uncertainty; distribution network; DC multi-microgrid system; carbon emissions; economic dispatch; across-time-and-space energy transmission; cooperative multi-objective optimization; PV; wind turbine; biomass system; heap-based optimizer; Franklin’s and Coulomb’s algorithm; sooty tern optimization; energy cost; metaheuristics; solar cell systems; elephant herding optimization; alpha tuned EHO; cultural-based; biased initialization; parameter identification; single diode; double diode; three diodes; modular multilevel converter (MMC); fault-tolerant; voltage source modular multilevel converter (VSMMC); SPWMLSC; SPWMPSC; STHILSC; STHIPSC; optimal energy management; multi-agent system; multi-energy carrier; renewable energy sources; uncertainty; microgrids management; renewable energy resources; isolated microgrids; optimization techniques; demand-side management (DSM); distributed generations (DGs); energy management systems (EMS); renewable energy sources (RES); optimization; waste to energy (W2E); microgrid architecture; smart infrastructure; resilience; optimization model; critical node identification; n/a