Uncertainty Management in Utility Grid Considering PV Generation: An Operational Planner's Perspective

Rajanarayan Prusty, B. and Bingi, K. and Jena, D. and Badi, M. and Mohan Krishna, S. (2023) Uncertainty Management in Utility Grid Considering PV Generation: An Operational Planner's Perspective. In: UNSPECIFIED.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 0; Conference of 5th International Conference on Energy, Power, and Environment, ICEPE 2023 ; Conference Date: 15 June 2023 Through 17 June 2023; Conference Code:191493
Uncontrolled Keywords: Principal component analysis; Random processes; Stochastic models; Stochastic systems; Uncertainty analysis, Multiple linear regression; Multiple linear regressions; Operational plan; Operational plan-ning; Principal component analyse; Principal-component analysis; PV generation; Spatio-temporal models; Uncertainty management; Utility grids, Multiple linear regression
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 13 Oct 2023 13:05
Last Modified: 13 Oct 2023 13:05
URI: http://scholars.utp.edu.my/id/eprint/37612

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