The main objective of the paper is The growing concern for energy saving has increased the usage of LEDbased Street Lights, Electronic Chokes, Compact Fluorescent Lamps, And Inverter-Fed Drives. Hence, the load profile seen by the electrical grid is undergoing a notable change as these devices have to operate from a dc source. Photovoltaic (PV) being a major energy source, the loads can be conn...

This paper present Maximum Power Point Tracking (MPPT) controller for solving partial shading problems in photovoltaic (PV) systems. It is well-known that partial shading is often encountered in PV system issue with many consequences. In this research, PV array is connected using TCT (total cross-tied) configuration including sensors to measure voltage and currents. The sensors provide inputs f...

To maximise the economic benefit, photovoltaic (PV) systems in general operate in the so-called maximum power point tracking (MPPT) mode. However, in certain occasions (e.g. in a microgrid or in a weak system), it is beneficial for a PV system not to always operate in the MPPT mode, but occasionally in the power dispatch mode, because of the top priority of maintaining system stability. To this...

The photovoltaic generators have a nonlinear V-I characteristics and maximum power points which vary with the illumination level and temperature. Using maximum power point tracker(MPPT) with the intermediate converter can increase the system efficiency by matching the PV systems to the load. This paper presents a maximum power point tracker based on fuzzy logic and a control scheme for a single...

The output power induced in the photovoltaic modules depends on solar radiation and temperature of the solar cells. To maximize the efficiency of the system, it is necessary to track the maximum power point of the PV array. In this paper an application of sliding mode control strategy is applied to track maximum power of photovoltaic cells. In this control system, it is necessary to measure the...

Predicting the output power of photovoltaic system with nonstationarity and randomness, an output power prediction model for grid-connected PV systems is proposed based on empirical mode decomposition (EMD) and support vector machine (SVM) optimized with an artificial bee colony (ABC) algorithm. First, according to the weather forecast data sets on the prediction date, the time series data of o...

In this paper, a Maximum Power Point Tracking (MPPT) controller for solar power system is modeled using MATLAB Simulink. The model consists of PV module, buck converter, and MPPT controller. The contribution of the work is in the modeling of buck converter using equation model approach rather than circuit model one. The buck converter model is developed using equation model that allowing the in...

Conventional energy sources are fast depleting due to poor conservation practises and excessive usage while the world’s energy demands are growing by minute. Additionally, the cost of producing conventional energy is rising also leading to an increase in harmful environmental pollution. Hence, there is a need to look at alternative energy sources such as sun, water and wind. Photovoltaic (PV) i...

Grid-connected photovoltaic (PV) based power generation technology is being pushed to the forefront as a viable alternative source of renewable energy, particularly in small-scale domestic applications. Due to the variable nature of solar energy, PV usually works well with battery storage to provide continuous and stable energy. However, by incorporating storage with such systems there is a nee...