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Solar cell/module modeling involves the formulation of the non-linear current versus voltage (I-V) curve. Determination of parameters plays an important role in solar cell/module modeling. This paper presents an application of the improved PSO search method and Particle Swarm Optimization technique for identifying the unknown parameters of solar cell and photovoltaic module models, namely, the series...
Economic load dispatch (ELD) is one of the main tools for optimal operation and planning of modern power systems. To solve effectively the ELD problem, most of the conventional calculus methods rely on the assumption that the fuel cost characteristic of a generating unit is a smooth and convex function, resulting in inaccurate dispatch. This paper presents the design and application of a new efficient...
In this paper we present a new control strategy of wind turbine, by controlling the pitch angle that must be regulated to capture the maximum of power using PID controller and particle swarm optimization, the problem is to identify the PID controller parameters employing the PSO technique. This study makes a mathematical model, which is used to control the power characteristics of the turbine, a comparison...
The block oriented structure such as Hammerstein, Wiener, etc… became very popular for the non-linear system modelling due to its simplicity and parsimony. In this paper, fractional hammerstein system is considered; it consists of a static non-linear block followed by a fractional linear dynamical block. The particle swarm optimisation is used to estimate the system parameters as well as the fractional...
This paper investigates feature selection method using filter Fast Correlation based Filter FCBF combined with Genetic Algorithm GA and particle swarm optimization PSO. In this paper two hybrid approaches based on filter method FCBF and Genetic algorithm (FCBF-GA) and filter FCBF with particle swarm (FCBF-PSO) are proposed. It has been found that the proposed method FCBF-PSO outperform the proposed...
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