Research on unit commitment with large-scale wind power connected power system

Author:

Jiao Ran1,Zhang Baoqun1,Chi Zhongjun1,Gong Cheng1,Ma Longfei1,Yang Bing1

Affiliation:

1. State Grid Beijing Electric Power Research Institute (China)

Publisher

SPIE

Reference15 articles.

1. IEEE Transactions on Power Systems;Potter;Very short-term wind forecasting for tasmanian power generation[J],2006

2. YANG Xiyun, SUN Baojun, ZHANG Xinfang, etc. “Proceedings of the CSEE,” Short-term wind speed forecasting based on support vector machine with similar data[J]. 32(4),35–41(2012).

3. Automation of Electric Power Systems;Yang;An optimal neighborhood in phase space based local prediction method for ultra-short-term wind speed forecasting[J],2011

4. IEEE Transactions on Energy Conversion;Alexiadis;Wind speed and power forecasting based on spatial correlation models[J],1999

5. Power System Protection and Control;Bin;The short-term wind speed forecast analysis based on the PSO-LSSVM predict model[J],2012

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