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

• Main Authors: Rajanarayan Prusty, B., Bingi, K., Jena, D., Badi, M., Mohan Krishna, S.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/37612/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168652120&doi=10.1109%2fICEPE57949.2023.10201560&partnerID=40&md5=eadb1013933d528ef8451cc83fc088fd

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.