Baseline and target values for regional and point PV power forecasts: Toward improved solar forecasting. (December 2015)

• Record Type: Journal Article
• Authors: Zhang, Jie; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat; Black, Jon; Tedesco, John
• Is Part Of: Solar energy. Volume 122(2015)
• Page Start: 804
• Page End: 819
• Publication Date: 2015-12
• Subjects: Numerical weather prediction -- Operating reserve -- Ramp forecasting -- PV power forecasting; Solar energy -- Periodicals; Solar engines -- Periodicals; 621.47
• DOI: 10.1016/j.solener.2015.09.047
• Languages: English
• ISSNs: 0038-092X

Abstract

Highlights: A method is developed to determine baseline and target values of solar forecasting. The work is informed by close collaboration with utility and ISO partners. The method is applied to solar forecasts at different spatial and temporal scales. The target values are determined based on the reduction of operating reserves. Abstract: Accurate solar photovoltaic (PV) power forecasting allows utilities to reliably utilize solar resources on their systems. However, to truly measure the improvements that any new solar forecasting methods provide, it is important to develop a methodology for determining baseline and target values for the accuracy of solar forecasting at different spatial and temporal scales. This paper aims at developing a framework to derive baseline and target values for a suite of generally applicable, value-based, and custom-designed solar forecasting metrics. The work was informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models in combination with a radiative transfer model. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of PV power output. The proposed reserve-based methodology is a reasonable and practical approach that can be used to assess the economic benefits gained from improvements in accuracy of solar forecasting. The financial baseline and targets can be translated back to forecasting accuracy metrics and requirements, which will guide research on solar forecasting improvements toward the areas that are most beneficial to power systems operations.