Abstract
Direct current microgrids are attaining attractiveness due to their simpler configuration and high-energy efficiency. Power transmission losses are also reduced since distributed energy resources (DERs) are located near the load. DERs such as solar panels and fuel cells produce the DC supply; hence, the system is more stable and reliable. DC microgrid has a higher power efficiency than AC microgrid. Energy storage systems that are easier to integrate may provide additional benefits. In this paper, the DC micro-grid consists of solar photovoltaic and fuel cell for power generation, proposes a hybrid energy storage system that includes a supercapacitor and lithium–ion battery for the better improvement of power capability in the energy storage system. The main objective of this research work has been done for the enhanced settling point and voltage stability with the help of different maximum power point tracking (MPPT) methods. Different control techniques such as fuzzy logic controller, neural network, and particle swarm optimization are used to evaluate PV and FC through DC–DC boost converters for this enhanced settling point. When the test results are perceived, it is evidently attained that the fuzzy MPPT method provides an increase in the tracking capability of maximum power point and at the same time reduces steady-state oscillations. In addition, the time to capture the maximum power point is 0.035 s. It is about nearly two times faster than neural network controllers and eighteen times faster than for PSO, and it has also been discovered that the preferred approach is faster compared to other control methods.
Highlights
The reactant gases are spread over the catalyst layer (CL), and the electrodes are restrained as a porous medium reactant gases are spread over the CL, and the electrodes are restrained as a porous meeverywhere
The difference between particle swarm optimization (PSO) and conventional evolutionary computation approaches is that particle velocities are tuned while individual evolutionary positions are replaced; it’s as if the particle swarm individual’s “fate” is changed rather than their “state.” PSO experiences partial optimism, which results in less precise measurements of its position and velocity in its Control
Using fuzzy logic controller (FLC), the performance of solar PV has risen to 1402 W from 845 W, which is a rise of 66%, FC has raised to 1278 W from 787 W, which is a rise of 62%
Summary
With the aid of DC microgrids based on renewable energy sources (RES) such as solar PV and FC with energy storage systems (ESS), implementation is simple and cost-effective [1,2] In this current scenario, DC microgrids are more popular because of easy interfacing with distribution generation without interlinking AC/DC and DC/AC. To track the maximum power, different types of MPPT techniques are used, namely perturb and observe (P and O), incremental conductance (INC), FLC, ANN, and the particle swarm optimization (PSO) algorithm. It is easy to link with DC micro sources
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
