4 research outputs found

    Comparison between the conventional methods and PSO based MPPT algorithm for photovoltaic systems

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    Since the output characteristics of photovoltaic (PV) system depends on the ambient temperature, solar radiation and load impedance, its maximum power point (MPP) is not constant. Under each condition PV module has a point at which it can produce its MPP. Therefore, a maximum power point tracking (MPPT) method is needed to uphold the PV panel operating at its MPP. This paper presents comparative study between the conventional MPPT methods used in (PV) system: Perturb and Observe (P&O), Incremental Conductance (IncCond), and Particle Swarm Optimization (PSO) algorithm for (MPPT) of (PV) system. To evaluate the study, the proposed PSO MPPT is implemented on a DC-DC cuk converter and has been compared with P&O and INcond methods in terms of their tracking speed, accuracy and performance by using the Matlab tool Simulink. The simulation result shows that the proposed algorithm is simple, and is superior to the P&O and IncCond methods

    A novel MPPT algorithm based on particle swarm optimization for photovoltaic systems

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    In this paper a new maximum-power-point-tracking (MPPT) method for the photovoltaic (PV) system using an improved particle swarm optimization (PSO) algorithm is proposed. The proposed control scheme eliminates the problems in the conventional methods as it uses only a simple numerical calculation to initialize the particles around the global maximum power point (GMPP). Hence, the PSO will utilize less iteration to reach the MPP. The proposed algorithm is verified by using MATLAB SIMULINK tool, several simulations being carried out, and compared to Perturb and Observe (P&O) Method, Incremental Conductance (IncCond) Method, and conventional Practical Swarm Optimization based MPPT Algorithm. The simulation results indicate that the proposed algorithm can effectively enhance stability and fast tracking capability even under rapidly changing atmospheric conditions

    Comparison study of five maximum power point tracking techniques for photovoltaic energy systems

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    Since the output characteristics of photovoltaic (PV) system depends on the ambient temperature, solar radiation and load impedance, its maximum power point (MPP) is not constant. Under each condition PV module has a point at which it can produce its MPP. Therefore, maximum power point tracking (MPPT) methods can be used to uphold the PV panel operating at its MPP. In this survey, five MPPT algorithms are presented and compared under different atmosphere conditions: Perturb and Observe (P&O) Methods, Incremental Conductance (IncCond) Methods, Constant Voltage (CV), Short Circuit Current (SCC) and Open Circuit Voltage (OCV). These algorithms are widely used in PV systems as a result of their easy implementation as well as their low cost. These techniques were analysed and their performance was evaluated by using the Matlab tool Simulink under various types of solar radiation and temperature. The IncCond method was the most efficient, at rapidly changing condition
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