@inproceedings{b492adf97553474eafa520b4a495ac0d,
title = "Optimal power flow with random wind resources",
abstract = "We consider optimal power-flow calculations based on statistics (means and variances) of wind-power that are assumed known hour ahead. In real-time, adjustments of these calculations to the true wind power amounts have been proposed using affine control and chance constraints on generation and transmission [1]. We study how correlated wind power sources affect the optimized power plan and cost. We also explore how the errors in wind forecasting statistics, due to real-time control actions to limit wind oscillations (ramping) or just simple misinformation, affect costs. There are direct extensions to the case where random/flexible demands/loads are correlated and similarly predictable.",
author = "Yuquan Shan and George Kesidis",
note = "Funding Information: ACKNOWLEDGMENT: This research was supported by NSF CCF grant 1228717. Publisher Copyright: {\textcopyright} 2016 IEEE.; 49th Annual Hawaii International Conference on System Sciences, HICSS 2016 ; Conference date: 05-01-2016 Through 08-01-2016",
year = "2016",
month = mar,
day = "7",
doi = "10.1109/HICSS.2016.303",
language = "English (US)",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "2426--2434",
editor = "Sprague, {Ralph H.} and Bui, {Tung X.}",
booktitle = "Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016",
address = "United States",
}