Solar Panel Efficiency Calculation using Incremental Conductance Algorithm (original) (raw)
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2014
The demand of energy has increased which has resulted in the depletion of conventional energy resources. The focus of the entire world is now on renewable energy resources. Solar and wind are the most popular among them. In this paper the focus is on improving the output of a solar panel by combing Dual Axis Solar Tracking (DAST) and Maximum Power Point Tracking (MPPT). For better accuracy Incremental Conductance (IC) algorithm is the MPPT technique used. Keyword: Dual axis solar tracker, MPPT, Incremental conductance. geetha@gct.ac.in
Modification of the Incremental Conductance Algorithm in Grid Connected Photovoltaic Systems
2016
Operation of solar energy conversion systems influences the total efficiency during variable temperature and variable solar irradiations. In addition to these atmospherical conditions, shading also affects the solar array efficiency. Due to nonlinear current and voltage characteristics and variable efficiency of solar cells, operation point of solar cells should be fixed at maximum power and efficiency. In order to generate maximum energy, solar photovoltaic (PV) systems should be run with maximum power point trackers (MPPTs). Therefore it is reached to maximum power point changing with above external factors. MPPT units are implemented to control converters which are connected to terminals of PV arrays. MPPTs operate according to some algorithms to reach maximum power level in various conditions. This study presents a new modification on incremental conductance (IncCond) algorithm, one of the well-known algorithms, to improve total efficiency of solar energy conversion systems. Pro...
2018
Today, the consumption and deployment of conservative energy, & environmental pollution caused due of it is increasing with the modernization of world. To minimize the pressure on conventional energy source it's the need to have more concerned about looking alternative sources for power generation. Solar can play important role as an alternative energy being a renewable energy source. Among the renewable resources, photovoltaic panels and wind- generators are primary contenders. The gain of Photovoltaic (PV) is that it has very small conversion efficiency, less maintenance & causes no pollution. The expenditure of solar system utilizing photovoltaic (PV) cells can be reduced by using efficient power system which is designed to extort the greatest probable power from the photovoltaic module using sun tracking and maximum peak-power point track (MPPT) technique. In sun tracking technique PV panel is oriented according to sun within a day to generate a highest possible power from i...
International Journal of Photoenergy, 2018
The first objective of this work is to determine some of the performance parameters characterizing the behavior of a particular photovoltaic (PV) panels that are not normally provided in the manufacturers’ specifications. These provide the basis for developing a simple model for the electrical behavior of the PV panel. Next, using this model, the effects of varying solar irradiation, temperature, series and shunt resistances, and partial shading on the output of the PV panel are presented. In addition, the PV panel model is used to configure a large photovoltaic array. Next, a boost converter for the PV panel is designed. This converter is put between the panel and the load in order to control it by means of a maximum power point tracking (MPPT) controller. The MPPT used is based on incremental conductance (INC), and it is demonstrated here that this technique does not respond accurately when solar irradiation is increased. To investigate this, a modified incremental conductance tec...
Numerical Module on Energy Efficiency Literature Review of Solar Panel Tracking System
The growth of any power system grid in the world always has been on an accelerating speed. Distributed Generation (DG) is an electrical power generation unit that is directly connected to a distribution network or placed as nearly as possible to its consumer. The technologies adopted in distributed generation vary in methods of generation including small-scaled gas turbines, wind, fuel cells, solar energy and hydro… etc [1]. DG is both beneficial to the consumers and utilities, much so in places where centralize generations are unfeasible or where deficiencies can be found in transmission systems. Optimally allocating DG units may address all the issues stated before, resulting in reduced power system losses, improved voltage profile, enhance power transfer capability, reduce pollution and cut generation and transmission cost [3,4]. This paper aims to present the optimum sizing and location of DG in power system by using Particle Swarm Optimization (PSO). Particle swarm optimization (PSO) is a population-based optimization method first proposed by Kennedy and Eberhart in 1995, inspired by social behavior of bird flocking or fish schooling. The researcher in this paper trying to demonstrate some of the literature that show the maximum energy from the solar panel. Where the tracker has a to detect the misalignment between PV module and the Sun's direct beam due to its movement. Based on the literature for the development of the solar tracker, each cycle will be started by defining existing flaws and necessary improvements of the system. The process under went with further cycles until the goal of the research was achieved. Boehm-Spiral methodology was applied throughout the research, including both hardware and software designs.