Energy Production Forecasting in a PV plant using Transfer Function Models

被引：0

作者：

Dellino, Gabriella ^{[1
]}

Laudadio, Teresa ^{[1
]}

Mari, Renato ^{[1
]}

Mastronardi, Nicola ^{[1
]}

Meloni, Carlo ^{[1
,2
]}

Vergura, Silvano ^{[2
]}

机构：

[1] CNR, Ist Applicaz Calcolo M Picone, I-70126 Bari, Italy

[2] Politecn Bari, Dipartimento Ingn Elettr & Informaz, Bari, Italy

来源：

2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015) | 2015年

关键词：

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper deals with the issue of forecasting energy production of a Photo-Voltaic (PV) plant, needed by the Distribution System Operator (DSO) for grid planning. As the energy production of a PV plant is strongly dependent on the environmental conditions, the DSO has difficulties to manage an electrical system with stochastic generation. This implies the need to have a reliable forecasting of the irradiance level for the next day in order to setup the whole distribution network. To this aim, this paper proposes the use of transfer function models. The assessment of quality and accuracy of the proposed method has been conducted on a set of scenarios based on real data.

引用

页码：1379 / 1383

页数：5

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