Real-Time Optimal Load Dispatch Recommendation System for the Santo Antônio Hydroelectric Power Plant-Reference-Cited by-同舟云学术

Real-Time Optimal Load Dispatch Recommendation System for the Santo Antônio Hydroelectric Power Plant

Published:2021-10-16 Issue:1 Volume:33 Page:268-281
ISSN:2195-3880
Container-title:Journal of Control, Automation and Electrical Systems
language:en
Short-container-title:J Control Autom Electr Syst

Author:

Brito Brunno Henrique^ORCID,Pereira Airton Isaac,Gosmann Rodrigo Pereira,Finardi Erlon Cristian,dos Santos Abreu David Lucas,Takigawa Fabrício Yutaka Kuwabata,Mendes Pablo Toldo,Weiss Leonardo Augusto,de Assis Morais Douglas Teixeira Silva,Fernandes Argemiro

Funder

Santo Antônio Energia S.A.

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s40313-021-00834-6.pdf

Reference14 articles.

1. Bortoni, E. C., Bastos, G. S., Abreu, T. M., & Kawkabani, B. (2015). Online optimal power distribution between units of a hydro power plant. Renewable Energy, 75, 30–36. https://doi.org/10.1016/j.renene.2014.09.009

2. Brito, B. H., Finardi, E. C., & Takigawa, F. Y. K. (2020). Mixed-integer nonseparable piecewise linear models for the hydropower production function in the unit commitment problem. Electric Power Systems Research, 182, 106234. https://doi.org/10.1016/j.epsr.2020.106234

3. Cheng, C., Liao, S., Tang, Z., & Zhao, M. (2009). Comparison of particle swarm optimization and dynamic programming for large scale hydro unit load dispatch. Energy Conversion and Management, 50(12), 3007–3014. https://doi.org/10.1016/j.enconman.2009.07.020

4. Cordova, M. M., Finardi, E. C., Ribas, F. A. C., Pase, C. D., Matos, V. L., & Scuzziato, M. R. (2014). Performance evaluation and energy production optimization in the real-time operation of hydropower plants. Electric Power Systems Research, 116, 201–207. https://doi.org/10.1016/j.epsr.2014.06.012

5. Filho, A., Ribeiro, F., Carvalho, R., & Coelho, C. J. (2020 ). Generation of two turbine hill chart using artificial neural networks. In IEEE 10th international conference on intelligent systems (IS). https://doi.org/10.1109/IS48319.2020.9199963