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基于全局向局部运行空间投影的多级调度协同模式

张怀宇 夏清 张丙金 谭振飞 董成 孙宇军 赖晓文

电力系统自动化2024,Vol.48Issue(11):143-152,10.
电力系统自动化2024,Vol.48Issue(11):143-152,10.DOI:10.7500/AEPS20230129003

基于全局向局部运行空间投影的多级调度协同模式

Multi-level Scheduling Cooperative Mode Based on Projection from Global to Local Operating Space

张怀宇 1夏清 2张丙金 3谭振飞 4董成 3孙宇军 3赖晓文3

作者信息

  • 1. 国家电网有限公司华东分部,上海市 200120
  • 2. 清华大学电机工程与应用电子技术系,北京市 100084||北京清能互联科技有限公司,北京市 100084
  • 3. 北京清能互联科技有限公司,北京市 100084
  • 4. 电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240
  • 折叠

摘要

Abstract

With the advancement of electricity market reform,all provincial markets in East China region have been in the trial operation stage.In order to balance the smooth operation of the electricity spot market and the safe operation of regional power grid,it is urgent to study a more efficient region-province cooperative operation mechanism.First,the challenges and thoughts for the improvement of region-province scheduling cooperative mode under the background of electricity spot market are analyzed.Then,the feasible region models of the regional power grid scheduling and provincial and municipal scheduling are constructed,and the method for dimensionality reduction and linearization of the feasible region model is proposed.On this basis,a region-province cooperative and optimized operation mechanism based on the scheduling feasible region is proposed,which focuses on exploring the business process of region-province two-level cooperative operation and the calculation method of provincial and municipal feasible regions.Finally,the effectiveness of the scheduling feasible region model and the two-level market cooperative operation mechanism is verified through the analysis of regional power grid cases.

关键词

电力市场/可行域/机组组合/安全校核/市场出清/网省协同/调度

Key words

electricity market/feasible region/unit commitment/security check/market clearing/region-province cooperation/scheduling

引用本文复制引用

张怀宇,夏清,张丙金,谭振飞,董成,孙宇军,赖晓文..基于全局向局部运行空间投影的多级调度协同模式[J].电力系统自动化,2024,48(11):143-152,10.

基金项目

国家自然科学基金资助项目(52207122) (52207122)

中国博士后科学基金资助项目(2022TQ0206). This work is supported by National Natural Science Foundation of China(No.52207122)and China Postdoctoral Science Foundation(No.2022TQ0206). (2022TQ0206)

电力系统自动化

OA北大核心CSTPCD

1000-1026

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