In this work a Maximum Power Point Tracker (MPPT) for photovoltaic modules is developed using fuzzy logic. As it is well known, the output of the photovoltaic module is a non-linear curve which has a unique point of maximum power (MPP) for a given condition of radiation and temperature. When a load is connected to the module, only in very specifics cases, the operation point will coincide with ...

The importance of using renewable energy systems (RESs) worldwide has been consolidated. Moreover, connecting more RESs to the utility grid will lead technical problems. Photovoltaic (PV) and wind turbine (WT) based power plants are most nonlinear sources energies contributing mix Electronic ballast switching mode supply in conservation PV WT have caused quality problems less reliable output vo...

This paper presents modeling and control of a hybrid distributed energy sources including photovoltaic (PV), fuel cell (FC) and battery energy storage (BES) in a microgrid which provides both real and reactive power to support a utility grid using fuzzy sliding-mode control (FSMC). The overall configuration of the microgrid including dynamic models for the PV, FC, BES and its power electronic i...

In this paper, an optimal strategy is proposed for the reactive power allocation in large-scale grid-connected photovoltaic systems. Grid-connected photovoltaic systems with direct current to alternating current inverters are able to supply active power to the utility grid as well as reactive power. The active power, extracted by the direct current to alternating current inverters, is usually c...

We present new services, developed also under the GMES ENDORSE (ENergy DOwnstream SErvices) project, for the performance analysis and the support in the planning of solar plants (photovoltaic, CSP, CPV) that combine a detailed model of each part of the plant (solar field, thermal storage system, electrical power system and inverters) and the near real-time remote sensing of the global (or direc...

This paper proposes a Compromise Programming (CP) model to help investors decide whether to construct photovoltaic power plants with government financial support. For this purpose, we simulate an agreement between the government, who pursues political prices (guaranteed prices) as low as possible, and the project sponsor who wants returns (stochastic cash flows) as high as possible. The sponsor...

For grid-connected photovoltaic (PV) system, monitoring is considered as a crucial aspect for observing the stability and performance of the system. The simplest method is to have the data collected and transmitted across data cables. Due to the cost and technical limitations of the data cable, the monitoring station needs to be located reasonably close to the monitored plant. Apart being incon...

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...