A Statistical Model for Hourly Large-Scale Wind and Photovoltaic Generation in New Locations

Jussi Ekstrom, Matti Juhani Koivisto, Ilkka Mellin, John Millar, Matti Lehtonen

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The analysis of large-scale wind and photovoltaic (PV) energy generation is of vital importance in power systems where their penetration is high. This paper presents a modular methodology to assess the power generation and volatility of a system consisting of both PV plants (PVPs) and wind power plants (WPPs) in new locations. The methodology is based on statistical modelling of PV and WPP locations with a vector autoregressive model, which takes into account both the temporal correlations in individual plants and the spatial correlations between the plants. The spatial correlations are linked through distances between the locations, which allows the methodology to be used to assess scenarios with PVPs and WPPs in multiple locations without actual measurement data. The methodology can be applied by the transmission and distribution system operators when analysing the effects and feasibility of new PVPs and WPPs in system planning. The model is verified against hourly measured wind speed and solar irradiance data from Finland. A case study assessing the impact of the geographical distribution of the PVPs and WPPs on aggregate power generation and its variability is presented.
Original languageEnglish
Article number7879358
JournalI E E E Transactions on Sustainable Energy
Issue number4
Number of pages10
Publication statusPublished - 2017

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