Advanced Modeling, Control, and Optimization Methods in Power Hybrid Systems - 2021
The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction method...
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| Format: | Electronic Book Chapter |
| Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 245 | 1 | 0 | |a Advanced Modeling, Control, and Optimization Methods in Power Hybrid Systems - 2021 |
| 260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2022 | ||
| 300 | |a 1 electronic resource (292 p.) | ||
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| 520 | |a The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications such as hybrid and microgrid power systems based on the Energy Internet, blockchain technology and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
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| 650 | 7 | |a Research & information: general |2 bicssc | |
| 650 | 7 | |a Physics |2 bicssc | |
| 653 | |a constant power load | ||
| 653 | |a microgrid | ||
| 653 | |a dynamic stability | ||
| 653 | |a optimization | ||
| 653 | |a PLL | ||
| 653 | |a power-sharing control | ||
| 653 | |a solid oxide fuel cell | ||
| 653 | |a parameter identification | ||
| 653 | |a backstepping control | ||
| 653 | |a event-triggered control | ||
| 653 | |a Lyapunov stability theorem | ||
| 653 | |a networked control system | ||
| 653 | |a nonlinear system | ||
| 653 | |a autonomous driving vehicles | ||
| 653 | |a vehicular communication | ||
| 653 | |a intelligent driver model | ||
| 653 | |a data-driven control model | ||
| 653 | |a 3PL logistics | ||
| 653 | |a decision making | ||
| 653 | |a ARAS | ||
| 653 | |a entropy | ||
| 653 | |a CRITIC | ||
| 653 | |a maximum power point tracking | ||
| 653 | |a photovoltaic system | ||
| 653 | |a partial shading conditions | ||
| 653 | |a surface-based polynomial fitting | ||
| 653 | |a Differential Evolution | ||
| 653 | |a metaheuristic algorithms | ||
| 653 | |a DC-DC converter | ||
| 653 | |a islanding detection | ||
| 653 | |a local islanding | ||
| 653 | |a remote islanding | ||
| 653 | |a signal processing | ||
| 653 | |a hybrid microgrids | ||
| 653 | |a renewable energies | ||
| 653 | |a energy management | ||
| 653 | |a electricity system | ||
| 653 | |a vibration control | ||
| 653 | |a dynamic vibration absorbers | ||
| 653 | |a aerial vehicles | ||
| 653 | |a quadrotor | ||
| 653 | |a motion tracking control | ||
| 653 | |a autonomous power system | ||
| 653 | |a generating power consumer | ||
| 653 | |a hydroelectric power plant | ||
| 653 | |a optimal power consumption | ||
| 653 | |a wind power plant | ||
| 653 | |a solar photovoltaic power plant | ||
| 653 | |a energy storage | ||
| 653 | |a microgrids | ||
| 653 | |a university campus | ||
| 653 | |a battery energy storage | ||
| 653 | |a renewable energy | ||
| 653 | |a simulation | ||
| 653 | |a optimal behavioral modeling | ||
| 653 | |a automotive | ||
| 653 | |a low-dropout linear voltage regulator | ||
| 653 | |a power supply rejection ratio | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/84462 |7 0 |z DOAB: description of the publication |