This paper presents a computational approach to forecast photovoltaic (PV) power in kW based on a neural network linkage of publicly available cloud cover data and on-site solar irradiance sensor data. We also describe a control approach to utilize rooftop air conditioning units (RTUs) to support renewable integration. The PV forecasting method is validated using data from a rooftop PV panel in...

Renewable energy, such as solar energy, is desirable for power generation due to their unlimited existence and environmental friendly nature. Reforming of the electricity sector along with various renewable energy promotion policies has increased the importance of small grid connected photovoltaic (PV) systems utilizing single stage single phase inverters. This paper proposes a single-stage inv...

Clouds are the dominant source of PV power output variability and their velocity is a principal input to most short-term forecast models. A new method for deriving cloud speed from data collected at a triplet of sensors at arbitrary positions is presented; cloud speed and the angle of the cloud front are determined from the time delays in two cloud front arrivals at the sensors. Five reference ...

A hybrid filter constructed of a shunt active filter and distributed passive filters used for power quality improvement in PV power generating systems is presented. The distribution system consists of a photovoltaic power generation system and several dynamic nonlinear loads. The power quality problems of dispersed generation low voltage systems are introduced and the necessity of using hybrid ...

In this work, we propose a new control law based on the combination between the Particle Swarm Optimization (PSO) method and the classical PI controller to extract the maximum power from a photovoltaic PV panel subject to partial shading. The photovoltaic PV panel has a nonlinear Power-Voltage (P-V) characteristic curve which is used in most controllers to find the Maximum Power Point (MPP). In...

In this work, we propose a new control law based on the combination between the Particle Swarm Optimization (PSO) method and the classical PI controller to extract the maximum power from a photovoltaic PV panel subject to partial shading. The photovoltaic PV panel has a nonlinear Power-Voltage (P-V) characteristic curve which is used in most controllers to find the Maximum Power Point (MPP). In...

As the world’s power demand is increases photovoltaic power supply to the utility grid is gaining more and more visibility. The user wants to utilize maximum solar power of an array by operating the photovoltaic array at it’s highest energy conversion output. The electrical design considerations due to varying nature of the solar power generated resulting from unpredictable and sudden changes i...

This paper proposes a vector controlled isolated source cascaded two-level inverter (CTLI), for grid connected photovoltaic (PV) system. The system is controlled to operate with variable solar irradiance, supplying different levels of active power. The PV systems are designed, modeled and tested with the proposed controller, to provide maximum power output. Additional operation as a reactive po...