基于最优潮流的停电模型及自组织临界性分析

MEI Shengwei; WENG Xiaofeng; XUE Ancheng; HE Fei

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基于最优潮流的停电模型及自组织临界性分析

更新时间：2025-08-13

- 基于最优潮流的停电模型及自组织临界性分析
- Automation of Electric Power Systems Vol. 30, Issue 13, (2006)
- 作者机构：
  
  清华大学电机系电力系统国家重点实验室,北京市,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2006
- 稿件说明：
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MEI Shengwei, WENG Xiaofeng, XUE Ancheng, et al. [J]. Automation of electric power systems, 2006, 30(13).
DOI：

MEI Shengwei, WENG Xiaofeng, XUE Ancheng, et al. [J]. Automation of electric power systems, 2006, 30(13). DOI：

摘要

在分析现有停电模型不足的基础上，利用自组织临界理论和最优潮流（OPF），建立了电网连锁故障和停电模拟模型。该模型包含反映电网连锁故障的快动态以及电力系统发展的慢动态2个过程。IEEE 30节点系统的仿真表明：该模型的快动态能够模拟连锁故障过程，并从微观上揭示了快动态系统的自组织临界性；此外，以系统总负荷需求和网络总传输容量比值作为特征量

可从宏观上初步揭示互联电网的自组织临界性；进一步，提升线路输送能力可以有效地防止大规模停电灾变事故的发生，降低停电风险。

Abstract

Based on the essence of self-organized criticality and optimal power flow (OPF)

a model is developed to capture the cascading failures and blackouts in power systems

after analysis on the limitations of the existing blackout models. The proposed model contains two dynamics

one is the fast dynamics which simulates the serial blackouts in power system

the other is the slow dynamics which reflects the growth of the power system. Simulations in an IEEE 30-bus system with the proposed model show that the process of the cascading and blackout can be captured by the fast dynamics

together with the self-organized criticality of fast dynamics with respect to the micro-scale. In addition

the macro-scale of self-organized criticality of the power system can be revealed from the viewpoint of the total load demand vs. the total network transfer capability. Furthermore

improving the transmission ability of the network can effectively prevent large-scale disastrous blackout and reduce the risk of power failure.

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