Renewable Energy Forecasting for Energy Storage Sizing: A Review

Anita Seervi, Vikash Kumar Saini, Rajesh Kumar, M. A. Mahmud

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increasing low carbon technologies in electricity generation (i.e. wind and solar), the system operator faced various challenges due to their intermittent and fluctuating nature. To address these challenges, energy storage have a potential solution. The optimal size of energy storage is most crucial issue at the planning stage. Renewable energy forecast error affects the storage sizing and scheduling. However, accurate forecasting is still a challenge in the perspective of energy storage. Therefore, this review paper explores the forecasting models with sizing of storage methods for enhancing the penetration of renewable energy generation. Further, the energy storage application in power system categorized based on specific area i.e. bulk energy services, ancillary services, power quality management, transmission and distribution infrastructure services and local energy management services also discussed.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages134-139
Number of pages6
ISBN (Electronic)9781665404167
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021 - Visakhapatnam, India
Duration: 13 Nov 202114 Nov 2021

Publication series

NameProceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021

Conference

Conference2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021
Country/TerritoryIndia
CityVisakhapatnam
Period13/11/2114/11/21

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