Microcontroller-Based HEPWM Cascaded H-Bridge Multilevel Inverter System for Renewable Energy Application

2015 ◽  
Vol 793 ◽  
pp. 297-303
Author(s):  
Naziha Ahmad Azli ◽  
Norkharziana Mohd Nayan ◽  
Shahrin Md Ayob ◽  
Ami Nurul Nazifah Abdullah ◽  
Siti Khodijah Mazalan
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy ◽  
Control Strategy ◽  
Energy System ◽  
Multilevel Inverter ◽  
Switching Scheme ◽  
Swarm Optimization ◽  
Renewable Energy System ◽  
Harmonic Elimination ◽  
Energy Application

This paper presents the implementation of a microcontroller-based Harmonic Elimination PWM (HEPWM) switching scheme of a Cascaded H-Bridge Multilevel Inverter (CHMI) for renewable energy system. This technique applies Particle Swarm Optimization (PSO) technique to allow computation of HEPWM switching angles. The detail description on the microcontroller-based implementation is provided in this paper. The performance of CHMI employing the control strategy based-on the simulation and experimental results are shown for comparison purposes.

Control-Based Maximum Power Point Tracking for a Grid-Connected Hybrid Renewable Energy System Optimized by Particle Swarm Optimization

2021 ◽  
pp. 353-384
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly ◽  
Sundarapandian Vaidyanathan ◽  
Ahmad Taher Azar
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Particle Swarm ◽  
Energy System ◽  
Energy Sources ◽  
Swarm Optimization ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

There has been a great deal of interest in renewable energy sources for electricity generation, particularly for photovoltaic and wind generators. These energy resources have enormous potential and can meet the current global demand for energy. Despite the obvious advantages of renewable energy sources, they have significant disadvantages, such as the discontinuity of their generation, due to their heavy dependence on weather and climate change, which affects their effectiveness in the conversion of renewable energy. Faced with this conflict, it is essential to optimize the performance of renewable systems in order to increase their efficiency. Several unconventional approaches to optimization have been developed in the literature. In this chapter, the management of a hybrid renewable energy system is optimized by intelligent approach based on particle swarm optimization comprising a shaded photovoltaic generator and a wind generator.

Power control based on particle swarm optimization of grid-connected inverter for hybrid renewable energy system

2015 ◽  
Vol 91 ◽  
pp. 83-92 ◽  
Author(s):  
Pablo García-Triviño ◽  
Antonio José Gil-Mena ◽  
Francisco Llorens-Iborra ◽  
Carlos Andrés García-Vázquez ◽  
Luis M. Fernández-Ramírez ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy ◽  
Power Control ◽  
Particle Swarm ◽  
Energy System ◽  
Swarm Optimization ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Grid Connected Inverter ◽  
Hybrid Renewable Energy

Control-Based Maximum Power Point Tracking for a Grid-Connected Hybrid Renewable Energy System Optimized by Particle Swarm Optimization

2018 ◽  
pp. 58-89 ◽  
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly ◽  
Sundarapandian Vaidyanathan ◽  
Ahmad Taher Azar
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Particle Swarm ◽  
Energy System ◽  
Energy Sources ◽  
Swarm Optimization ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

There has been a great deal of interest in renewable energy sources for electricity generation, particularly for photovoltaic and wind generators. These energy resources have enormous potential and can meet the current global demand for energy. Despite the obvious advantages of renewable energy sources, they have significant disadvantages, such as the discontinuity of their generation, due to their heavy dependence on weather and climate change, which affects their effectiveness in the conversion of renewable energy. Faced with this conflict, it is essential to optimize the performance of renewable systems in order to increase their efficiency. Several unconventional approaches to optimization have been developed in the literature. In this chapter, the management of a hybrid renewable energy system is optimized by intelligent approach based on particle swarm optimization comprising a shaded photovoltaic generator and a wind generator.

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