Short-term PV power forecasting in India: recent developments and policy analysis

被引：6

作者：

Mitra, Indradip ^{[1
]}

Heinemann, Detlev ^{[2
]}

Ramanan, Aravindakshan ^{[1
]}

Kaur, Mandeep ^{[1
]}

Sharma, Sunil Kumar ^{[1
]}

Tripathy, Sujit Kumar ^{[3
]}

Roy, Arindam ^{[4
]}

机构：

[1] Deutsch Gesell Int Zusammenarbeit GIZ, New Delhi, India

[2] Carl von Ossietzky Univ Oldenburg, Dept Phys, Energy Meteorol Grp, Oldenburg, Germany

[3] Arizona State Univ, Dept Elect Comp & Energy Engn, Tucson, AZ USA

[4] German Aerosp Ctr DLR, Inst Networked Energy Syst, Oldenburg, Germany

来源：

INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING | 2022年 / 13卷 / 02期

关键词：

PV power forecasting; Renewable energy management centre; Scheduling; NWP; Indian Power System; HEAT-PUMP SYSTEM; SOLAR-RADIATION; NEURAL-NETWORKS; ENERGY-SOURCES; IRRADIANCE; COMBINATION; GENERATION; PREDICTION; FLEXIBILITY; UNCERTAINTY;

D O I：

10.1007/s40095-021-00468-z

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：

With ambitious renewable energy capacity addition targets, there is an ongoing transformation in the Indian power system. This paper discusses the various applications of variable generation forecast, state-of-the-art solar PV generation forecasting methods, latest developments in generation forecasting regulations and infrastructure, and the new challenges introduced by VRE generation. Day-ahead NWP-based GHI forecasting are validated against ground measurements from single and multiple sites in India. Recommendations for improving overall the forecasting infrastructure in India are presented.

引用

页码：515 / 540

页数：26

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