Decoupled Photovoltaic Power Ramp-rate Calculation Method for Perturb and Observe Algorithms

作     者：Jose Miguel Riquelme-Dominguez Francisco M.Gonzalez-Longatt Sergio Martinez Jose Miguel Riquelme-Dominguez;Francisco M.Gonzalez-Longatt;Sergio Martinez

作者机构：Electrical Engineering DepartmentEscuela Tecnica Superior de Ingenieros IndustrialesUniversidad Politecnica de Madrid28006 MadridSpain Department of Electrical EngineeringInformation Technology and CyberneticsUniversity of South-Eastern Norway3918 PorsgrunnNorway 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2022年第10卷第4期

页      面：932-940页

核心收录：

学科分类：08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：This work was supported by the Spanish National Research Agency Agencia Estatal de Investigacion(No.PID2019-108966RB-I00/AEI/10.13039/50110001-1033) 

主　　题：Hardware-in-the-loop maximum power point tracking perturb and observe photovoltaic power ramp-rate control ramp-rate calculation method 

摘      要：As photovoltaic energy increasingly penetrates in power systems,transmission system operators have started to request its participation in providing ancillary *** of the demanded services is the power ramp-rate control(PRRC),which attempts to limit the power ramps produced by intermittent irradiance *** order to achieve the desired objective,solutions based on storage systems or modifying the maximum power point tracking(MPPT)in perturb and observe(P&O)algorithms are commonly *** starting point in PRRC is the determination of the instantaneous power ramprate,and different methods have been proposed in the literature for its ***,the accuracy and computational speed of existing procedures can be improved,which may be critical in situations with rapid irradiance *** this paper,a decoupled photovoltaic power ramp-rate calculation method is presented,in which the effect of variable irradiance and the P&O algorithm are computed *** proposed method has been theoretically demonstrated and tested through simulation and experimental *** results show that it can improve the previous methods in terms of accuracy and computation *** validation with hardware-inthe-loop demonstrates the suitability of the proposed method for real-time applications,even in presence of noisy measurements.