Smoothing ramp events in wind farm based on dynamic programming in energy internet
Author:
Publisher
Springer Science and Business Media LLC
Subject
Energy Engineering and Power Technology
Link
http://link.springer.com/article/10.1007/s11708-018-0593-8/fulltext.html
Reference22 articles.
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2. Sevlian R, Rajagopal R. Detection and statistics of wind power ramps. IEEE Transactions on Power Systems, 2013, 28(4): 3610–3620
3. Xiong Y, Zha X, Qin L, Ouyang T, Xia T. Research on wind power ramp events prediction based on strongly convective weather classification. IET Renewable Power Generation, 2017, 11(8): 1278–1285
4. Gallego C, Costa A, Cuerva A. Improving short-term forecasting during ramp events by means of regime-switching artificial neural networks. Advances in Science & Research, 2011, 6(1): 55–58
5. Ouyang T, Zha X, Qin L, Kusiak A. Optimization of time window size for wind power ramps prediction. IET Renewable Power Generation, 2017, 11(8): 1270–1277
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