Performance Evaluation of Random Search Based Methods on Model-Free Wind Farm Control-Reference-Cited by-同舟云学术

Performance Evaluation of Random Search Based Methods on Model-Free Wind Farm Control

Published:2018 Issue: Volume: Page:657-670
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
Short-container-title:

Author:

Hao Mok Ren,Ahmad Mohd Ashraf,Raja Ismail Raja Mohd Taufika,Nasir Ahmad Nor Kasruddin

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-8788-2_60

Reference20 articles.

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2. Marden, J.R., Ruben, S.D., Pao, L.Y.: Surveying game theoretic approaches for wind farm optimization. In: 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, pp. 1–10 (2012)

3. Marden, J.R., Ruben, S.D., Pao, L.Y.: A model-free approach to wind farm control using game theoretic methods. IEEE Trans. Control Syst. Technol. 21(4), 1207–1214 (2013)

4. Park, J., Kwon, S., Law, K.H.: Wind farm power maximization based on a cooperative static game approach. SPIE Smart Struct. Conf. 8688, 1–15 (2013)

5. Kim, C., Member, S., Gui, Y., Member, S.: Maximum Power Point Tracking of a Wind Power Plant With Predictive Gradient Ascent Method 8(2), 685–694 (2017)

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