Simulation-based Approach to Assessing Short-term Power Variations of PV Power Plants Under Cloud Conditions  

作　　者：Eric Bernard Dilger Ricardo Vasques de Oliveira 

机构地区：[1]Federal Institute of Parana,Parana,Brazil [2]Electrical Engineering Department,Federal University of Technology,Parana,85503-390,Brazil

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第6期1837-1848,共12页现代电力系统与清洁能源学报(英文)

摘　　要：The output power variability of photovoltaic(PV)power plants(PVPPs)is one of the major challenges for the op-eration and control of power systems.The short-term power variations,mainly caused by cloud movements,affect voltage magnitude and frequency,which may degrade power quality and power system reliability.Comprehensive analyses of these power variations are crucial to formulate novel control ap-proaches and assist power system operators in the operation and control of power systems.Thus,this paper proposes a simu-lation-based approach to assessing short-term power variations caused by clouds in PV power plants.A comprehensive assess-ment of the short-term power variations in a PV power plant operating under cloud conditions is another contribution of this paper.The performed analysis evaluates the individual impact of multiple weather condition parameters on the magnitude and ramp rate of the power variations.The simulation-based ap-proach synthesizes the solar irradiance time series using three-dimensional fractal surfaces.The proposed assessment ap-proach has shown that the PVPP nominal power,timescale,cloud coverage level,wind speed,period of the day,and shadow intensity level significantly affect the characteristics of the pow-ervariations.

关 键 词：Photovoltaic(PV)generation PV power plant partial shading cloud condition power variation 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]