1. Dual-Kalman-Filter-Based Identification and Real-Time Optimization of PV Systems
- Author
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Patrizio Manganiello, Giovanni Petrone, Giovanni Spagnuolo, Mattia Ricco, Eric Monmasson, Università degli Studi di Salerno (UNISA), Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS), Manganiello, Patrizio, Ricco, Mattia, Petrone, Giovanni, Monmasson, Eric, and Spagnuolo, Giovanni
- Subjects
Optimization ,field programmable gate array ,Engineering ,dual Kalman filter ,optimisation ,Covariance matrices ,Settling time ,power system parameter estimation ,DC-DC converter ,battery-DC bus ,dual-Kalman filter-based identification ,7. Clean energy ,photovoltaic system parameter identification ,[SPI]Engineering Sciences [physics] ,Extended Kalman filter ,Mathematical model ,Control theory ,Gate array ,Electronic engineering ,PV system real-time optimization ,Electrical and Electronic Engineering ,real-time optimization ,Real-time systems ,ComputingMilieux_MISCELLANEOUS ,field programmable gate arrays ,DC/DCconverters ,system identification ,photovoltaic power systems ,real-timeoptimization ,business.industry ,Photovoltaic system ,System identification ,maximum power point trackers ,Computer Science Applications1707 Computer Vision and Pattern Recognition ,Kalman filter ,DC-BUS ,Power optimizer ,photovoltaic system ,Kalman filters ,perturbative maximum power point tracking algorithm ,Estimation ,Noise ,photovoltaic systems ,Control and Systems Engineering ,business - Abstract
In this paper, the use of the Dual Kalman Filter for the identification of photovoltaic system parameters is presented. The system includes the photovoltaic source, the dc/dc converter and the battery/dc bus and both its states and parameters in the actual operating conditions are identified. In particular, the proposed approach gives the confidence interval for the system settling time, which is used for the real-time optimization of the perturbative maximum power point tracking algorithm. The proposed technique is implemented by using a Field-Programmable Gate Array and it is validated by means of both simulation and experimental results.
- Published
- 2015