Optimal Control of Hybrid Systems and Renewable Energies
This book is a collection of papers covering various aspects of the optimal control of power and energy production from renewable resources (wind, PV, biomass, hydrogen, etc.). In particular, attention is focused both on the optimal control of new technologies and on their integration in buildings,...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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700 | 1 | |a Rossi, Mansueto |4 oth | |
245 | 1 | 0 | |a Optimal Control of Hybrid Systems and Renewable Energies |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 electronic resource (248 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This book is a collection of papers covering various aspects of the optimal control of power and energy production from renewable resources (wind, PV, biomass, hydrogen, etc.). In particular, attention is focused both on the optimal control of new technologies and on their integration in buildings, microgrids, and energy markets. The examples presented in this book are among the most promising technologies for satisfying an increasing share of thermal and electrical demands with renewable sources: from solar cooling plants to offshore wind generation; hybrid plants, combining traditional and renewable sources, are also considered, as well as traditional and innovative storage systems. Innovative solutions for transportation systems are also explored for both railway infrastructures and advanced light rail vehicles. The optimization and control of new solutions for the power network are addressed in detail: specifically, special attention is paid to microgrids as new paradigms for distribution networks, but also in other applications (e.g., shipboards). Finally, optimization and simulation models within SCADA and energy management systems are considered. This book is intended for engineers, researchers, and practitioners that work in the field of energy, smart grid, renewable resources, and their optimization and control. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a History of engineering & technology |2 bicssc | |
653 | |a fuel cell | ||
653 | |a power control | ||
653 | |a multi-objective optimization | ||
653 | |a equivalent consumption minimization strategy | ||
653 | |a firefly algorithm | ||
653 | |a hybrid light rail vehicle | ||
653 | |a solar energy | ||
653 | |a Fresnel collector | ||
653 | |a model predictive control | ||
653 | |a fuzzy algorithm | ||
653 | |a hybrid systems | ||
653 | |a shipboard microgrids | ||
653 | |a photovoltaic (PV) systems | ||
653 | |a energy storage technologies | ||
653 | |a microgrids | ||
653 | |a hybrid energy storage systems (HESS) | ||
653 | |a floating offshore wind turbine | ||
653 | |a aerodynamic platform stabiliser | ||
653 | |a wave rejection | ||
653 | |a feedback loop | ||
653 | |a control | ||
653 | |a optimisation | ||
653 | |a energy storage | ||
653 | |a pumped storage hydro | ||
653 | |a ternary pumped storage hydro | ||
653 | |a dynamic simulation | ||
653 | |a dynamic modeling | ||
653 | |a inertia | ||
653 | |a renewable energy | ||
653 | |a power system | ||
653 | |a primary control | ||
653 | |a BESS | ||
653 | |a microgrid | ||
653 | |a Grid Forming | ||
653 | |a Grid Support | ||
653 | |a Inverter Control | ||
653 | |a DIgSILENT PowerFactory | ||
653 | |a EMT simulations | ||
653 | |a eco-friendliness | ||
653 | |a smart railway | ||
653 | |a smart electrical infrastructure | ||
653 | |a control algorithm | ||
653 | |a regenerative braking energy | ||
653 | |a smart grid | ||
653 | |a optimization | ||
653 | |a energy management system | ||
653 | |a interconnected buildings | ||
653 | |a renewable resources | ||
653 | |a multi-level | ||
653 | |a aggregator | ||
653 | |a wind-diesel power plant | ||
653 | |a intelligent control system | ||
653 | |a diesel-generator set | ||
653 | |a internal combustion engine | ||
653 | |a artificial neural network | ||
653 | |a fuel economy | ||
653 | |a co-simulation | ||
653 | |a SCADA | ||
653 | |a operator training | ||
653 | |a building energy management system | ||
653 | |a simulation | ||
653 | |a equivalent electric circuit | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/2850 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69081 |7 0 |z DOAB: description of the publication |