Hawker, G. S. and Bukhsh, W. A. and Gill, S. and Bell, K. R. W. (2016) Synthesis of wind time series for network adequacy assessment. In: Proceedings of the 19th Power Systems Computation Conference. Institute of Electrical and Electronics Engineers Inc., pp. 1-7.
Hawker_etal_PSCC2016_synthesis_wind_time_series_network_adequacy_assessment.pdf - Accepted Author Manuscript
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When representing the stochastic characteristics of wind generators within power system simulations, the spatial and temporal correlations of the wind resource must be correctly modelled to ensure that reserve and network capacity requirements are not underestimated. A methodology for capturing these correlations within a vector auto-regressive (VAR) model is presented, and applied to a large-scale reanalysis dataset of historical wind speed data for the British Isles. This is combined with a wind speed-to-power conversion model trained against historically metered data from wind farms on the Great Britain (GB) electricity system in order to derive a lightweight model for simulating injections of wind power across a transmission network. The model is demonstrated to adequately represent ramp rates, both at a site and network level, as well as the individual correlations between sites, while being suitable for network adequacy studies which may require the simulation of many years of operation.
|Item type:||Book Section|
|Notes:||© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Keywords:||wind energy, wind power modeling, meteorology, autoregression, wind speed data, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||15 Apr 2016 10:23|
|Last modified:||03 Apr 2017 08:44|