引用本文:董吉哲,王淮冬,鲁宇,曹建设,马英浩.考虑场景时序相关性的输电扩展规划[J].电力自动化设备,2024,44(7):116-122
DONG Jizhe,WANG Huaidong,LU Yu,CAO Jianshe,MA Yinghao.Transmission expansion planning considering scenario temporal correlation[J].Electric Power Automation Equipment,2024,44(7):116-122
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考虑场景时序相关性的输电扩展规划
董吉哲1, 王淮冬1, 鲁宇2, 曹建设1, 马英浩3
1.长春工业大学 电气与电子工程学院,吉林 长春 130012;2.国网吉林省电力有限公司,吉林 长春 130022;3.合肥工业大学 电气与自动化工程学院,安徽 合肥 230009
摘要:
针对新型电力系统不确定性显著增加的问题,提出一种考虑场景时序相关性的输电扩展规划模型。采用场景的时间序列表征不确定性,考虑火电机组时序约束,模拟电力系统未来运行。为更加聚焦规划方案的选择,采用分层目标函数分离投资成本和运行成本。为降低模型的计算复杂性,提出循环优化建模方法来求解模型。将所提模型和非时序规划模型应用于Garver’s 6节点系统、IEEE 24节点系统和中国西北38节点系统进行比较,结果表明,所提模型可得出更接近实际运行的规划结果。
关键词:  输电扩展规划  场景时序相关性  分层目标  循环优化  非时序规划模型
DOI:10.16081/j.epae.202405006
分类号:TM715
基金项目:吉林省重点研发计划项目(20220203162SF)
Transmission expansion planning considering scenario temporal correlation
DONG Jizhe1, WANG Huaidong1, LU Yu2, CAO Jianshe1, MA Yinghao3
1.School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130012, China;2.State Grid Jilin Electric Power Co.,Ltd.,Changchun 130022, China;3.School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Abstract:
Aiming at the problem of significant increase of uncertainty in new type power system, a transmission expansion planning model considering scenario temporal correlation is proposed. The scenario temporal sequence is adopted to represent the uncertainty, and future power system operation is simulated considering the temporal constraints of thermal power units. In order to better focus on the selection of planning scheme, the hierarchical objective function is used to separate the investment cost and operating cost. In order to reduce the model computational complexity, a loop optimization modeling method is proposed to solve the model. The proposed model and non-temporal planning model are applied to Garver’s 6-bus system, IEEE 24-bus system, and Northwest China 38-bus system for comparison, and the results show that the proposed model can obtain more realistic planning results.
Key words:  transmission expansion planning  scenario temporal correlation  hierarchical objective  loop optimization  non-sequential planning model

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