Simulation of regional day-ahead PV power forecast scenarios

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Uncertainty associated with Photovoltaic (PV) generation can have a significant impact on real-time planning and operation of power systems. This obstacle is commonly handled using multiple forecast realizations, obtained using for example forecast ensembles and/or probabilistic forecasts, often at the expense of a high computational burden. Alternatively, some power system applications may require realistic forecasts rather than actual estimates; able to capture the uncertainty of weatherdriven generation. To this end, we propose a novel methodology to generate day-ahead forecast scenarios of regional PV production matching the spatio-temporal characteristics while preserving the statistical properties of actual records.
Original languageEnglish
Title of host publicationPowerTech, 2017 IEEE Manchester
Number of pages6
PublisherIEEE
Publication date2017
ISBN (Print)978-1-5090-4238-8
ISBN (Electronic)978-1-5090-4237-1
DOIs
Publication statusPublished - 2017
Event12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University Place, University of Manchester., Manchester, United Kingdom
Duration: 18 Jun 201722 Jun 2017

Conference

Conference12th IEEE Power and Energy Society PowerTech Conference
LocationUniversity Place, University of Manchester.
Country/TerritoryUnited Kingdom
CityManchester
Period18/06/201722/06/2017
Series2017 Ieee Manchester Powertech

Fingerprint

Dive into the research topics of 'Simulation of regional day-ahead PV power forecast scenarios'. Together they form a unique fingerprint.

Cite this