The work depicted in this thesis - and the author\u27s research as a whole - centers on an optimal energy management system. Specifically, this research focuses on the development of two controllers for optimally controlling a grid independent photovoltaic system. The first controller uses Action Dependent Heuristic Dynamic Programming (ADHDP), while the second uses fuzzy logic, with membership functions optimized using Particle Swarm Optimization (PSO)--Abstract, page iv
This paper explains about an intelligent control method for the maximum power point tracking (MPPT) ...
This paper presents a maximum power point tracker (MPPT) using fuzzy logic for a PV grid connected s...
This work presents an intelligent approach for the performance improvement and optimization of the c...
This paper presents two optimal control strategies for a grid independent photovoltaic system consis...
Abstract -This paper presents a particle swarm optimization (PSO) method for optimizing a fuzzy logi...
This paper presents a particle swarm optimization (PSO) method for optimizing a fuzzy logic controll...
This paper presents the development of an optimized fuzzy logic based photovoltaic (PV) energy dispa...
This paper presents an optimal energy control scheme for a grid independent photovoltaic (PV) solar ...
Solar panels have a nonlinear voltage-current characteristic, with a distinct maximum power point (M...
Abstract:- This paper presents a novel intelligent fuzzy logic controller for maximum power point tr...
The power supplied by photovoltaic DC–DC converter is affected by two factors, sun irradiance and te...
Artificial intelligence methods such as fuzzy logic and particle swarm optimization (PSO) have been ...
This paper presents an adaptive optimal control scheme for a grid independent photovoltaic (PV) syst...
Photovoltaic system has nonlinear characteristics that are affected by the environmental conditions....
In this study, we proposed two techniques to track the maximum power point (MPPT) of a photovoltaic ...
This paper explains about an intelligent control method for the maximum power point tracking (MPPT) ...
This paper presents a maximum power point tracker (MPPT) using fuzzy logic for a PV grid connected s...
This work presents an intelligent approach for the performance improvement and optimization of the c...
This paper presents two optimal control strategies for a grid independent photovoltaic system consis...
Abstract -This paper presents a particle swarm optimization (PSO) method for optimizing a fuzzy logi...
This paper presents a particle swarm optimization (PSO) method for optimizing a fuzzy logic controll...
This paper presents the development of an optimized fuzzy logic based photovoltaic (PV) energy dispa...
This paper presents an optimal energy control scheme for a grid independent photovoltaic (PV) solar ...
Solar panels have a nonlinear voltage-current characteristic, with a distinct maximum power point (M...
Abstract:- This paper presents a novel intelligent fuzzy logic controller for maximum power point tr...
The power supplied by photovoltaic DC–DC converter is affected by two factors, sun irradiance and te...
Artificial intelligence methods such as fuzzy logic and particle swarm optimization (PSO) have been ...
This paper presents an adaptive optimal control scheme for a grid independent photovoltaic (PV) syst...
Photovoltaic system has nonlinear characteristics that are affected by the environmental conditions....
In this study, we proposed two techniques to track the maximum power point (MPPT) of a photovoltaic ...
This paper explains about an intelligent control method for the maximum power point tracking (MPPT) ...
This paper presents a maximum power point tracker (MPPT) using fuzzy logic for a PV grid connected s...
This work presents an intelligent approach for the performance improvement and optimization of the c...