Search results for " PV power plant"

showing 2 items of 2 documents

Dynamic reconfiguration systems for PV plant: Technical and economic analysis

2020

Solar plants suffer of partial shading and mismatch problems. Without considering the generation of hot spots and the resulting security issues, a monitoring system for the health of a PV plant should be useful to drive a dynamic reconfiguration system (DRS) to solve bottlenecks due to different panels’ shading. Over the years different DRS architectures have been proposed, but no suggestions about costs and benefits have been provided. Starting from technical subjects such as differences of the topologies driving the hardware complexity and number of components, this paper identifies the cost of DRS and its lifetime, and based on these issues it provides an economic analysis for a 6 kWp PV…

Control and OptimizationMonitoringComputer science020209 energyEnergy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciNetwork topologylcsh:TechnologySettore ING-INF/01 - Elettronica0202 electrical engineering electronic engineering information engineeringEconomic analysismedia_common.cataloged_instanceElectrical and Electronic EngineeringEuropean unionEngineering (miscellaneous)energy policies related to PV power plantsmedia_commonlcsh:TRenewable Energy Sustainability and the EnvironmentCase studieEnergy policies related to PV power plantmonitoring and case studiesEconomic analyseControl reconfiguration021001 nanoscience & nanotechnologyReliability engineeringSettore ING-IND/31 - Elettrotecnicaeconomic analysesenergy policies related to PV power plants; economic analyses; monitoring and case studiesShadingPv plant0210 nano-technologyEnergy (miscellaneous)Nominal power (photovoltaic)
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Forecasting energy output of a solar power plant in curtailment condition based on LSTM using P/GHI coefficient and validation in training process, a…

2022

This study presents how to improve the short-term forecast of photovoltaic plant's output power by applying the Long Short-Term Memory, LSTM, neural networks for industrial-scale solar power plants in Vietnam under possible curtailment operation. Since the actual output power does not correspond to the available power, new techniques (Global Horizontal Irradiance - GHI interval division, P/GHI factor addition (P - Power)) have been designed and applied for processing errors and missing data. The prediction model (LSTM network, structure of hidden layers, number of nodes) has been developed by the authors in a previous work. In this new version of the model, the training technique is improve…

Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaLong short-term memory Curtailment Large scale solar power plant Forecasting PV power PV power plant Artificial intelligenceEnergy Engineering and Power TechnologyElectrical and Electronic EngineeringElectric Power Systems Research
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