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

被引：0

作者：

Mueller, Nicolas ^{[1
,2
]}

Kouro, Samir ^{[1
]}

Zanchetta, Pericle ^{[2
]}

Wheeler, Patrick ^{[2
]}

Marzo, Aitor ^{[3
]}

机构：

[1] Univ Tecn Federico Santa Maria, Dept Elect Engn, Valparafso, Chile

[2] Univ Nottingham, Dept Elect & Elect Engn, Nottingham, England

[3] Univ Antofagasta, Ctr Desarrollo Energet Antofagasta, Antofagasta, Chile

来源：

2019 IEEE 28TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2019年

关键词：

PV; ESS sizing; Peak Shaving; Wavelet; Ramp Rate; MODEL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：2458 / 2463

页数：6

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