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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Analysis of power system scheduling operation mode based on multi-objective optimization algorithm
Bo Bao
Bo Bao
Power Dispatch and Control Center of Guangdong Power Grid Co., Ltd
Guangzhou, China
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Bao, Bo
,
Jian Zuo
Jian Zuo
Power Dispatch and Control Center of Guangdong Power Grid Co., Ltd
Guangzhou, China
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Zuo, Jian
,
Shuiping Zhang
Shuiping Zhang
Power Dispatch and Control Center of Guangdong Power Grid Co., Ltd
Guangzhou, China
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Zhang, Shuiping
,
Lian Tu
Lian Tu
Power Dispatch and Control Center of Guangdong Power Grid Co., Ltd
Guangzhou, China
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Tu, Lian
,
Yixing Chen
Yixing Chen
Power Dispatch and Control Center of Guangdong Power Grid Co., Ltd
Guangzhou, China
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Chen, Yixing
,
Feng Qian
Feng Qian
Power Dispatch and Control Center of Guangdong Power Grid Co., Ltd
Guangzhou, China
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Qian, Feng
,
Feng Liu
Feng Liu
Beijing Tsintergy Technology Co., Ltd
Beijing, China
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Liu, Feng
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Binbin Zhang
Binbin Zhang
Beijing Tsintergy Technology Co., Ltd
Beijing, China
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Zhang, Binbin
Sep 30, 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Sep 30, 2023
Received:
Jan 06, 2023
Accepted:
Apr 10, 2023
DOI:
https://doi.org/10.2478/amns.2023.2.00406
Keywords
<kwd>Power system scheduling</kwd>
,
<kwd>Adaptive Corsi variance</kwd>
,
<kwd>Co-evolutionary strategy</kwd>
,
<kwd>MCPSO-ACPM procedure</kwd>
,
<kwd>Optimal scheduling model.</kwd>
© 2023 Bo Bao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
