| 引用本文: | 王果,李蓝锦,闵永智,苏鹏飞,何清素.电力系统关键碳排放节点辨识[J].电力自动化设备,2024,44(9):114-120,128 |
| WANG Guo,LI Lanjin,MIN Yongzhi,SU Pengfei,HE Qingsu.Identification of key carbon emission nodes in power system[J].Electric Power Automation Equipment,2024,44(9):114-120,128 |
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| 摘要: |
| 为提高电力系统关键碳排放节点辨识的准确性，从碳排放流分析法中选取节点碳势、碳流率通量、负荷碳流率与机组注入碳流率指标，基于复杂网络理论与节点碳排放特征提出改进度、改进平衡度、改进介数与改进聚类系数指标。利用熵权-逼近于理想解的排序技术综合评价不同节点碳排放重要度，在此基础上，建立电力系统两阶段辨识模型用于高碳节点辨识：第一阶段的模型对关键碳排放负荷节点进行辨识，第二阶段的模型对关键碳排放电源节点进行辨识，最终得到包含关键碳排放负荷节点与电源节点的电力系统简化拓扑结构。IEEE 118节点系统与某地区实际电网的仿真结果表明，所提方法可有效选取电力系统高碳节点。 |
| 关键词: 电力系统 关键碳排放节点 节点碳排放重要度 两阶段辨识模型 |
| DOI：10.16081/j.epae.202403014 |
| 分类号:TM711 |
| 基金项目:甘肃省科技计划项目(重点研发计划)(22YF7GA146)；强电磁技术全国重点实验室开放课题资助项目(轨道交通牵引供电系统数字孪生技术研究)(2023KF004) |
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| Identification of key carbon emission nodes in power system |
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WANG Guo1, LI Lanjin1, MIN Yongzhi1, SU Pengfei1, HE Qingsu2
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1.School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;2.School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
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| Abstract: |
| In order to improve the identification accuracy of key carbon emission nodes in the power system, the indicators of node carbon potential, carbon flow rate flux, load carbon flow rate and unit injection carbon flow rate are selected from the carbon emission flow analysis method, and the indicators of improved degree, improved balance degree, improved betweenness and improved clustering coefficient are proposed based on complex network theory and node carbon emission characteristic. The entropy weight-technique for order preference by similarity to an ideal solution is used to comprehensively evaluate the importance of carbon emission of different nodes, on this basis, a two-stage identification model of power system is established for identifying the high carbon nodes. The model of first stage identifies key carbon emission load nodes, while the model of second stage identifies key carbon emission power source nodes, finally a simplified topology structure of power system containing key carbon emission load nodes and power nodes is obtained. The simulative results of IEEE 118-bus system and an actual power grid in a certain region verify that the proposed method can effectively select high carbon nodes in the power system. |
| Key words: electric power systems key carbon emission nodes node carbon emission importance two-stage identification model |
