Probabilistic power flow analysis based on arbitrary polynomial chaos expansion for networks with uncertain renewable sources
© 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. Probabilistic power flow (PPF) analysis was applied to investigate the effects of uncertain renewable energy sources, that is, solar and wind power plants, on power system operations. The PPF analysis based...
Saved in:
Main Authors: | Jirasak Laowanitwattana, Sermsak Uatrongjit |
---|---|
格式: | 雜誌 |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055960954&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62700 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Chiang Mai University |
相似書籍
-
Application of arbitrary polynomial chaos expansion to probabilistic power flow analysis of power systems with renewable energy sources
由: Jirasak Laowanitwattana, et al.
出版: (2019) -
Probabilistic power flow analysis based on arbitrary polynomial chaos expansion of bus voltage phasor
由: Jirasak Laowanitwattana, et al.
出版: (2020) -
Induction motor states and parameters estimation using Extended Kalman Filter with reduced number of measurements
由: Jirasak Laowanitwattana, et al.
出版: (2018) -
Estimation of induction motor states and parameters based on Extended Kalman Filter considering parameter constraints
由: Jirasak Laowanitwattana, et al.
出版: (2018) -
Optimal worst case solutions for state estimation of power system with uncertain network parameters
由: Chawasak Rakpenthai, et al.
出版: (2018)