Search Results

Persistent anomalies in modern photovoltaic (PV) systems present a formidable challenge, impeding optimal power output and system resilience. Artificial Intelligence (AI) has surfaced as a game-changing solution, yet existing research has merely scratched the surface of solar panel prognosis, leaving a critical void in leveraging AI’s explainable nature and active learning capabilities. This pioneering study…

Forecasting solar PV power output holds significant importance in the realm of energy management, particularly due to the intermittent nature of solar irradiation. Currently, most forecasting studies employ statistical methods. However, deep learning models have the potential for better forecasting. This study utilises Long Short-Term Memory (LSTM), Gate Recurrent Unit (GRU) and hybrid LSTM-GRU deep…

As the significance of new and renewable energy is highlighted, land-based solar power generation has seen remarkable progress. This study utilizes the Strength Reduction Method in DIANA, a numerical analysis software, to assess the stability concerning various variables, such as slope angle, water level, water depth, and changes in material properties, with a focus on…

Photovoltaic systems are classified as non-linear systems. On the other hand, the characteristics of photovoltaic cells are non-linear. For this reason, researchers use several methods of maximum power monitoring (MPPT) to improve the performance of photovoltaic system. It is therefore necessary to use an adaptation stage between the photovoltaic generator (GPV) and the load to…

Transformers are habitually designed and manufactured for operation at a fundamental frequency of 50Hz and sinusoidal load current. Transformers are susceptible to non-linear loads. The inception of switching action characterises Non-linear loads and consequently nonsinusoidal load current which brings about higher transformer service losses, hotspot temperature rise, and degradation of cellulosic and liquid insulation, and…

During the past years, a lot of research work have been done on the topic of smart grids and more specifically on the charging of electric vehicles (EVs), which will become an essential aspect in the coming years. The various works carried out on these themes have allowed the development of efficient tools to organize…

Distributed Solar Photovoltaic (DSP) Plants are one of the fastest growing renewable energy systems in South Africa. The primary components forming an integral part of the point of common coupling (PCC) are, the inverter used to convert dc voltage to ac voltage and step-up transformers which step-up low voltage input to the desired output level.…

The rapid transformation of the energy sector in South Africa towards renewable energy (RE) production calls for the management of assets to keep pace with the ongoing developments in a reliable manner. Aging assets, increasing energy needs and reliable supply of energy without load shedding are some of the challenges utilities are facing in South…

The technics of maximum power point tracking is widely used in solar photovoltaic energy and electric power system applications. Traditionally, these technics are based on conventional methods like perturb and observe and incremental conductance. In this work, three methods based on particle swarms optimization, incremental conductance and adaptive neuro fuzzy inference system are presented. A…

This paper covers a new topology, a synchronous wind turbine generator, and a solar photovoltaic generator. The Permanent Magnet Synchronous Generator is linked to the grid by back-to-back voltage source converters (BtB VSC), consisting of a two-stage rectifier and a five-stage Neutral Point Clamped inverter, operated by the Space Vector Pulse Width Modulation technique. A…

In this paper, a modified configuration of Single-Phase Seven-Level Packed U-Cell (PUC) Multilevel Inverter for solar photovoltaic system is presented & investigated for standalone operation. The Seven-Level MPUC Inverter comprises of six semiconductor switches & two DC links which generates seven voltage levels at the inverter output. The maximum amplitude of inverter output voltage is…

The results investigated in this work are toward the optimization of the photonic crystal structures in 1D and 2D scale. One-dimensional distributed Bragg reflectors (DBRs) have demonstrated substantial potential in various optoelectronic applications, due to the observed tunable optical band-gap. Herein, the use of DBRs in light trapping solar cells was simulated and validated, representing…

This paper presents an efficient Maximum Power Point Tracking (MPPT) controller for photovoltaic modules. The MPPT technique consists of a combination between backstepping controller and artificial neural network (ANN).The (ANN) has been employed to generate the optimum voltage, which corresponds to the maximum power voltage delivered by photovoltaic modules, while the backstepping controller is developed…

In this paper, a Hybrid System introduced (HS), which consists of Solar Photo-Voltaic (PV) system and the Fuel Cell (FC) System as alternative source of electrical power. The HS is used to supply the required electricity to a Single-Phase load with the help of Pulse Width Modulation Voltage Source Inverter (PWM-VSI). The PV provide the…

With increasing photovoltaic (PV) penetration on distribution feeders, voltage functions is always a challenge. To control these variations due to the intermittent nature of PV generation,many utility companies use the traditional voltage regulating devices such as ON/OFF load tap changers, voltage regulators, switched capacitor banks and reactors. The use of smart inverters (SI) has been…

In this work of technological development and research is presented the work done in the ITSAO to contribute to the use of clean energy such as photovoltaics and the implementation of activities to reduce electricity consumption by the technological community, the monitoring of electricity consumption is made on a monthly basis and an annual report…

In this paper, we present a new Somewhat Homomorphic Encryption (SHE) scheme using computation over complex numbers. We then use Bootstrapping technique to make the scheme Fully Homomorphic (FH) and supports unbounded number of circuit depth. In addition to its homomorphic properties and security level, a main characteristic of the proposed new scheme is its…

The Malaysian government has recently announced to increase the share of renewable energy generation from 2% to 20% of the total electricity consumption by year 2030. However, integrating a significant level of renewable energy sources on the distribution network without proper coordination will cause adverse effects that leads to unnecessary operation costs to the stakeholders.…

Renewable energy becomes an appealing technology used in many applications in our life. Environmentally, it reduces CO2 emissions and enhances the sustainability of the system. This paper study the benefits of using a photovoltaic system with a thermal storage tank to power air-cooled chiller, in two different scenarios. The simulation methodology is adopted in this…

The main importance of solar photovoltaic energies research is to meet the many environmental demands of the energy challenge, to maximize power and to reduce the costs of photovoltaic (PV) systems to reply the energy needs of population. In the present research work, the first objective is to study the performance and the output energy…

Metal (silver)-Assisted Chemical Etching (MACE) method is used to fabricate silicon nanostructures like silicon nanowires (SiNWs) and silicon nanocones (SiNCs). The morphological characterization of fabricated SiNWs has shown that 5 minutes is the optimal time of silver deposition on silicon substrate. Silicon nanocones (SiNCs) were also fabricated by etching vertical SiNWs with a AgNO3=HF=H2O2 solution.…

The object of this paper is to identify the unknown electrical parameters of solar photovoltaic generators in real time, through the application of a novel suggested hybrid method. The identification process is discussed with details, about the four steps of identification. In this issue, the first step describes the experimental data acquisition work done to…

The aim of this paper is to derive and study a full-bridge three-port converter. Based on the standard design of full-bridge converter, we have modeled and derived a three port converter. The three port converter can be used in renewable energy scenarios, such as solar cells or wind turbines connected to the input port. The…

This paper examines the efficiency of a fuzzy logic control (FLC) based maximum power point tracking (MPPT) of a photovoltaic (PV) system under variable climate conditions and connected load requirements. The PV system including a PV module BP SX150S, buck-boost DC-DC converter, MPPT, and a resistive load is modeled and simulated using Matlab/Simulink package. In…

This manuscript focuses on a hybrid power system combining a solar photovoltaic array and energy storage system based on hydrogen technology (fuel cell, hydrogen tank and electrolyzer) and battery. The complete architecture is connected to the national grid through power converters to increase the continuity of power. The proposed a hybrid power system is designed…