Uncertainty Management in Utility Grid Considering PV Generation: An Operational Planner's Perspective
- Resource Type
- Conference
- Authors
- Prusty, B Rajanarayan; Bingi, Kishore; Jena, Debashisha; Badi, Manjulata; S., Mohan Krishna
- Source
- 2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE) Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE), 2023 5th International Conference on. :1-5 Jun, 2023
- Subject
- Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Analytical models
Renewable energy sources
Uncertainty
Computational modeling
Stochastic systems
Stochastic processes
Wind power generation
Multiple linear regression (MLR)
operational plan-ning
principal component analysis (PCA)
PV generation
uncertainty management
- Language
- ISSN
- 2832-8973
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.