Search results for "PV power plant"

showing 3 items of 3 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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A new method for forecasting energy output of a large-scale solar power plant based on long short-term memory networks a case study in Vietnam

2021

Abstract This paper proposes a new model for short-term forecasting power generation capacity of large-scale solar power plant (SPP) in Vietnam considering the fluctuations of weather factors when applying the Long Short-Term Memory networks (LSTM) algorithm. At first, a configuration of the model based on the LSTM algorithm is selected in accordance with the weather and operating conditions of SPP in Vietnam. Not only different structures of LSTM model but also other conventional forecasting methods for time series data are compared in terms of error accuracy of forecast on test data set to evaluate the effectiveness and select the most suitable LSTM configuration. The most suitable config…

Scale (ratio)Computer scienceLarge scale solar power plant020209 energy020208 electrical & electronic engineeringEnergy Engineering and Power Technology02 engineering and technologySet (abstract data type)Mean absolute percentage errorElectricity generationSolar power plantArtificial IntelligenceStatistics0202 electrical engineering electronic engineering information engineeringLong short-term memoryElectrical and Electronic EngineeringTime seriesPV power plantForecasting PV powerEnergy (signal processing)Test data
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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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