Wavelet-based ESS sizing strategy to enable power peak-shaving in PV systems

Mueller, Nicolas; Kouro, Samir; Zanchetta, Pericle; Wheeler, Patrick; Marzo, Aitor; IEEE

Abstract

This work presents an Energy Storage Systems (ESS) sizing strategy, that allows grid connected PV systems to provide peak-shaved maximum-power-Ramp-Rate (RR) compliant power while storing exceeding power. For this purpose power generation and power loss caused by complying several RR restrictions were estimated. The estimation is based on irradiance and temperature real data from a measuring station located in the Atacama desert in Chile. The presented sizing strategy is based on Discrete Wavelet Transform (DWT) and allows to obtain an energy and power ESS sizing matching different criterion. Moreover, the selection of the ad-hoc wavelet and decomposition level, required filter the estimated PV power, is also presented.

Más información

Título según WOS: Wavelet-based ESS sizing strategy to enable power peak-shaving in PV systems
Título de la Revista: PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)
Editorial: IEEE
Fecha de publicación: 2019
Página de inicio: 2458
Página final: 2463
Notas: ISI