Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints
Intelligent Driving Method and Efficient Solving Technology for Optimizing Scheduling of New Power Systems|更新时间:2025-07-29
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Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints
“In the field of unit combination optimization, experts have proposed a new algorithm that effectively solves the problem of optimizing system operation schemes under short-circuit current constraints, providing new ideas for the safe and economical operation of power systems.”
Southern Power System TechnologyVol. 19, Issue 3, Pages: 153-162(2025)
作者机构:
1.广东电网有限责任公司广州供电局, 广州 510630
2.华南理工大学电力学院,广州 510640
3.华南理工大学广东省绿色能源技术重点实验室,广州 510640
作者简介:
基金信息:
the National Natural Science Fundation of China(52077083);the Science and Technology Project of China Southern Power Grid Co., Ltd(GZHKJXM20210047)
XU Liangde,WU Chuqin,GUO Ting,et al.Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints[J].Southern Power System Technology,2025,19(03):153-162.
XU Liangde,WU Chuqin,GUO Ting,et al.Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints[J].Southern Power System Technology,2025,19(03):153-162. DOI: 10.13648/j.cnki.issn1674-0629.2025.03.014.
Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints
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