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Parameter identification of a photovoltaic (PV) cell is essential to simulate the behavior and to optimize the different characteristics of the PV generator. Therefore, the prediction of the PV system behavior will be possible; this allows a better energy management and a good operation reliability. There are several models that express the physical behavior of a PV cell to reproduce well the I-V...
In this paper, a modified maximum power point tracking (MPPT) algorithm based on particle swarm optimization (PSO) technique is proposed. This algorithm aims to maximize the power extracted from a photovoltaic (PV) system with Lithium-ion (Li-ion) battery under partial shading condition (PSC). The proposed algorithm aims to reduce the time wasted during the exploring phase by using a variable sampling...
The increasing presence of green energy on grid needs using of high control strategy and good power quality. For that reason this paper presents analysis and control of three phase space vector pulse width modulated (SVPWM) two level voltage source inverters (VSI) with constant switching frequency using a direct power control (DPC). In order to improve the power quality by reducing harmonic distortion,...
Now a day the transmission lines are operated under the heavily stressed condition, hence there is risk of the consequent voltage instability. This paper proposes a particle swarm optimization method for solving optimal reactive power planning (ORPP) problem using Thyristor Controlled Series Compensator (TCSC). The proposed PSO have been applied for the ORPP problem to improve the system line stability...
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