Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2274
Title: Uncertainty Management In Utility Grid Considering Pv Generation: An Operational Planner'S Perspective
Authors: Prusty, B Rajanarayan
Bingi, Kishore
Jena, Debashisha
Badi, Manjulata
Krishna, S Mohan
Keywords: Multiple linear regression (MLR)
Operational plan-ning
Principal component analysis (PCA)
PV generation
Uncertainty management
Issue Date: 2023
Publisher: 5th International Conference on Energy, Power, and Environment: Towards Flexible Green Energy Technologies, ICEPE 2023
Citation: pp. 1-5
Abstract: This paper discusses the importance of adopting a spatiotemporal model-based scenario generation technique by approximating a multivariate continuous stochastic process in a discrete form. The computational steps for such a model development are comprehensibly discussed via a case study using PV generation data collected from the USA. The model accuracy comparison through a detailed discussion of obtained results is likely to help novice researchers to choose the best model amongst the available options and tactically decide to improvise the modeling framework further. This systematically prepared paper is expected to help power engineers with enough confidence to execute operational planning decisions realistically. © 2023 IEEE.
URI: https://doi.org/10.1109/ICEPE57949.2023.10201560
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2274
ISBN: 9798350313123
Appears in Collections:Conference Papers

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