This paper proposed a hybrid technique based on power quality (PQ) enhancement in grid connected Photovoltaic (PV) system. The hybrid technique is the combined performance of both the Radial Basis Function Neural Network (RBFNN) and Proportional Integral (PI) controller. The primary intention of the proposed method is to predict the adaptive gain parameters for both the normal and abnormal environment in the grid side. In the proposed method, the RBFNN is trained with input parameters such as grid power variations and the target gain parameters of the PI controller. During the testing time, the RBFNN predicts the gain parameters of the PI controller as per the grid side parameter variation and the PQ of the grid side has been enhanced. Then the proposed method is implemented in the MATLAB/Simulink platform and the effectiveness is examined by comparison analysis with the conventional techniques. Ó 2016 Production and hosting by Elsevier B.V. on behalf of Ain Shams University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Due to the growing demand for electrical power, the researchers are trying to fulfill this demand by considering different ways of renewable energy resource as existing energy resources failed to do so. The solar energy from the sun is freely available, and by using photovoltaic (PV) cell power can be generated. However, it depends on rays fall on the PV cell, climatic condition. Thus, to enhance the efficiency of the photovoltaic (PV) systems, maximum power point tracking (MPPT) of the solar arrays is needed.The output of solar arrays mainly depends on solar irradiance and temperature. The mismatch phenomenon takes place due to partial shade, and it causes to the power output, which brings the incorrect operation of traditional MPP tracker. In this shaded condition, PV array exhibits multiple extreme points. In general, under this scenario, the MPPT approaches fail to judge the MPP, and it leads to low efficiency. The conventional approaches of PSO based algorithms can able to track the MPP under shading condition. However, the optimization process leads to issues in tracking speed. Thus, there a need for an efficient MPPT system which can track MPPT effectively in shaded condition? Hence, the proposed manuscript presents a modified Particle Swarm Optimization (PSO) algorithm is introduced to enhance the tracking speed as well as performance. The outcomes of the proposed system are compared with the traditional PSO system and are found that the tracking speed of MPP, accuracy, and efficiency is improved.

This paper aims at the discussion of the performance parameters evaluation of Non isolated Single Ended Primary Inductance DC-DC Converter over Buck Boost and Cuk type converter, whose primary role in photovoltaic power generation is to maintain the output voltage constant irrespective of changes in the input, with improved efficiency and less input current ripple. The paper includes dynamic modeling and simulation of a photovoltaic cell under varying insolation and changes in temperature along with the modeling of the three topologies mentioned above taking the unregulated voltage from the pv cell and their performance parameters are being compared to choose the better converter topology for solar power generation system. For modeling the pv cell the single diode equivalent diagram is considered simulated using MATLAB / Simulink platform to obtain PV and IV curves of solar cell with variable temperature and variable irradiance. Also the dc-dc converters are modeled in MATLAB, and the simulation results are compared.

The prime role of a renewable resource-based DC hybrid power system is, to maintain the output voltage constant with higher efficiency. In order to achieve this the duty cycles of the converter switches are dynamically controlled. Multiple input single output (MISO) converter uses separate controller for adjusting the duty cycle, this complicates the design and implementation of the system. Hence, to overcome this limitation a centralized controller is used. The control strategy depends on the pattern of gating signals given to the converter switches. When independent controller is employed, then gating signals of any pattern can be used to drive the switches. However, if a single controller is used, and then a definite pattern is very much essential otherwise, the output voltage and efficiency get affected. In this paper, an attempt is made to validate and evaluate the performance parameters of MISO converter with two pattern of gating signals; they are synchronized and unsynchronized pulses at their rising edge. The control strategy focusses on the generation of these gating pulses. PID controller is tuned appropriately to determine the gains to achieve the stability of the proposed converter. The dual input power converter validated to show how the PWM pattern affects the efficiency, ripple and regulation of the converter. Using MATLAB SIMULINK platform, the simulation of the proposed concept with dual input converter in closed loop is validated. Simulation results proves that synchronized pulses gives DC efficiency of 87% at designed output of 12V output. Converter with unsynchronized PWM pulses operates at lesser efficiency of 75% and the output voltage is of 10V.

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