Design of Maximum Power Tracking System for Photovoltaic Power Generation

Solar power generation is related to climatic conditions, and its high cost and low power generation efficiency have become the main factors restricting its development. Realizing the maximum power tracking of solar photovoltaic power generation through power electronic technology and control technology is an effective measure to increase the power generation of photovoltaic power generation systems, reduce power generation costs, improve solar energy conversion efficiency, and widely promote photovoltaic power generation technology. According to the illumination characteristics of solar cells, using a single-chip microcomputer to control the DC-DC converter and conductance increment method as the control algorithm, a solar maximum power tracking system is designed.

A novel hybrid human psychology optimization-perturb and observe MPPT algorithm in a dsPIC microcontroller for grid connected PV power system

Renewable energy presently occupies a prominent position in India’s overall energy generation scheme. In the midst of numerous alternative energy resources, solar energy is widely used as it persists in large volumes with varying specification ratings. It is suited for both stand-alone and grid-coupled application. The Maximum Power Tracking (MPPT) scheme has a profound effect on the operating efficiency of a Photovoltaic (PV) power plant. This paper proposes an inventive hybridized Human Psychology Optimization-Perturb and Observation (HPO-PO) MPPT approach for obtaining the optimal duty cycle of the boost converter to harvest global maxima from a grid-connected Total Cost Tied (TCT) configured PV array of 4080 W. The suggested method provides enriched performance both in steady-state, as well as in rapid and randomly changing weather conditions. Comparison studies of various MPPT procedures, including Perturbation and Observation (PO), Artificial Bee Colony (ABC), and Human Psychology Optimization (HPO) in MATLAB environment, illustrate the usefulness of the evoked system in meeting its goals. The suggested MPPT procedure has offered enhanced activities in terms of voltage quality, maximum power tracking capability, and converter efficiency compared to other methods. The recommended hybridized MPPT approach is experimentally validated on a hardware set-up using a 16-bit dsPIC30F2010 Digital Signal Controller in enhancing the behavior of the grid-connected PV system.

A Novel and Efficient INC Based MPPT for PV System

This paper discuss the Incremental Conduction based MPPT for tracking the solar power. Due to increment of power demand here to find the new type of generation system. The concept of Renewable Energy Source (RES) is now become a most popular for generation of power. There are basically three types of RES is used for generation process, Wind, PV, fuel cell. Solar system is one of the best RES technique for generation of electrical power but it have some drawback. It is only used in the daytime and has low efficiency. For improving the efficiency of the system here maximum power tracking is needed. Here Incremental Conduction based MPPT for tracking the solar power is used. The whole model is simulated in MATLAB /SIMULINK for checking the performance of the system and is applicable to different type of domestic loads. The THD of the system is calculated.

Hill Climbing Algorithm based Maximum Power Tracking of a PV Array

In this paper we are going to see how the MPPT algorithm is used to obtain maximum power using a booster converter from a PV array. The booster converter steps up the voltage to required level. The main aim is to track the maximum power point of a solar module and there by using it effectively and efficiently