Step-up transformers are used to connect large PV plants to the utility network, their sizing being often accomplished only taking into account the PV plant peak power. However, a largely unpredictable power injection on the main grid is obtained if a too large rated power is selected, leading to grid instabilities. This may result in plant shutdowns, while requiring a remarkable reserve power ...

In this work, we present a new algorithm for detecting faults in grid connected photovoltaic (GCPV) plant. There are few instances of statistical tools being deployed in the analysis of PV measured data. The main focus of this paper is, therefore, to outline a PV fault detection algorithm that can diagnose faults on the DC-side of the examined GCPV system based on the t-test statistical analysi...

In recent years, energy production by renewable sources is becoming very important, and photovoltaic (PV) energy has became one of the main renewable sources that is widely available and easily exploitable. In this context, it is necessary to find correct tools to optimize the energy production by PV plants. In this paper, by analyzing available solar irradiance data, an analytical expression f...

There is, at present, considerable interest in the storage and dispatchability of photovoltaic (PV) energy, together with the need to manage power flows in real-time. This paper presents a new system, PV-on time, which has been developed to supervise the operating mode of a Grid-Connected Utility-Scale PV Power Plant in order to ensure the reliability and continuity of its supply. This system p...

The development of photovoltaic (PV) energy throughout the world this last decade has brought to light the presence of module mismatch losses in most PV applications. Such power losses, mainly occasioned by partial shading of arrays and differences in PV modules, can be reduced by changing module interconnections of a solar array. This paper presents a novel method to forecast existing PV array...

The scope of this paper is to evaluate and compare the potential of LS-PV(Large Scale Photovoltaic Power Plant) power generation systems in the southern region of Libya at Al-Kufra for both stationary and tracking systems. A Microsoft Excel-VBA program has been developed to compute slope radiation, dew-point, sky temperature, and then cell temperature, maximum power output and module efficiency...

For a solar power plant, storing energy enables utilities to generate power when and as required and not just when sun is shining. There are two popular ways to convert solar energy to electricity – solar photovoltaic (PV) and solar thermal. In a solar PV plant sun’s energy is directly converted to electric energy using solar cells and therefore it requires a battery to store electric energy. A...

Over the last few years, many European countries experienced a rapid growth of photovoltaic (PV) power plants. For example, more than 20,000 new PV power plants were built in the Czech Republic. The high spatial and temporal variability of the solar resource and subsequent PV power plant production, poses new challenges for the reliability and predictability of the power grid system. In this pa...

In our environment so many harmful gases emit from plant such as thermal power plant these harmful gases are gave the harmful impact on our environmental conditions such as temperature increases acid rains etc. So here we introduced the renewable energy sources use for generating electricity such as solar wind etc. In that paper shows the modelling of PV cell and introduce new maximum power tra...

The power prediction for photovoltaic (PV) power plants has significant importance for their grid connection. Due to PV power’s periodicity and non-stationary characteristics, traditional power prediction methods based on linear or time series models are no longer applicable. This paper presents a method combining the advantages of the wavelet decomposition (WD) and artificial neural network (A...