Mutation particle swarm optimization algorithm for solving the optimal operation model of thermal power plants-Reference-Cited by-同舟云学术

Mutation particle swarm optimization algorithm for solving the optimal operation model of thermal power plants

Published:2014-07 Issue:4 Volume:6 Page:043118
ISSN:1941-7012
Container-title:Journal of Renewable and Sustainable Energy
language:en
Short-container-title:Journal of Renewable and Sustainable Energy

Author:

Biao Shi¹²³,Chang hua Hu²,Xin hua Yu²³,Chuan He²

Affiliation:

1. Civil and Hydraulic Engineering, Ning Xia University, Yin Chuan 750021, Ning Xia, China

2. The Xi'an Research Institute of High Technology, Room 302, Xi'an, China

3. Engineering Research Center of Ministry of Education on Water Resources Efficient Use in Arid Modern Agriculture, Yin Chuan 750021, Ning Xia, China

Funder

National Natural Science Foundation of China (NSFC)

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4892517

Reference40 articles.

1. B. Shi , “ Operation of power plant swarm optimization based on bionics and artificial intelligence methods,” Ph.D. dissertation ( Xi'an University of Technology, Xian, 2011), p. 6.

2. J. Yu , “ The research of reservoir power generation optimized operation and early varying mechanism layered coupling model based on power market,” M.S. dissertation ( Zheng Zhou University, Zheng Zhou, 2011), p. 5.

3. Generating Unit Commitment by Dynamic Programming

4. Optimal short-term thermal unit commitment

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