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Standalone Renewable Energy Systems
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Standalone (off-grid) renewable energy systems supply electricity in places where there is no access to a standard electrical grid. These systems may include photovoltaic generators, wind turbines, hydro turbines or any other renewable electrical generator. Usually, this kind of system includes electricity storage (commonly lead-acid batteries, but also other types of storage can be used). In some cases, a backup generator (usually powered by fossil fuel, diesel or gasoline) is part of the hybrid system. The modelling of the components, the control of the system and the simulation of the performance of the whole system are necessary to evaluate the system technically and economically. The optimization of the sizing and/or the control is also an important task in this kind of system.
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Keywords
- binary particle swarm optimization
- center of sums defuzzification method
- critical peak pricing (CPP) DRP
- demand response program (DRP)
- economic feasibility
- embedded system
- energy management
- Energy Storage
- energy storage system (ESS)
- fuzzy logic control
- genetic algorithm
- greenhouse gas emission
- greenhouse gas emissions
- heliostat
- limit extracted power
- loss of power supply probability (LPSP)
- low-temperature energy storage
- microgrids
- MPPT
- Multi-Objective Particle Swarm Optimization (MOPSO)
- n/a
- nonlinear adaptive control (NAC)
- optimization
- partial shading condition
- permanent magnet-synchronous generator (PMSG)
- perturbation observer
- photovoltaic
- photovoltaic system (PV)
- photovoltaic systems
- pitch control
- pumped heat energy storage (PHES)
- Reference, information & interdisciplinary subjects
- renewable energy
- Research & information: general
- simulation
- SOC
- solar energy
- space decomposition
- sun tracking
- sustainability
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
- time-ahead dynamic pricing (TADP) DRP
- time-varying mirrored S-shaped transfer function
- transfer reinforcement learning
- vanadium redox flow battery
Links
DOI: 10.3390/books978-3-03936-185-4Editions