计算机应用 ›› 2015, Vol. 35 ›› Issue (9): 2682-2686.DOI: 10.11772/j.issn.1001-9081.2015.09.2682

• 行业与领域应用 • 上一篇    下一篇

基于模糊元胞自动机的电网故障演化模型

于群1, 张敏1, 曹娜1, 贺庆2, 石良1   

  1. 1. 山东科技大学 电气与自动化工程学院, 山东 青岛 266510;
    2. 中国电力科学研究院 电力系统研究所, 北京 100085
  • 收稿日期:2015-02-04 修回日期:2015-03-20 出版日期:2015-09-10 发布日期:2015-09-17
  • 通讯作者: 于群(1970-),男,山东淄博人,副教授,博士,主要研究方向:电力系统安全分析、电力系统继电保护,yuqun_70@163.com
  • 作者简介:张敏(1989-),女,山东菏泽人,硕士研究生,主要研究方向:电力系统安全分析、运行与控制;曹娜(1971-),女,山东新泰人,副教授,博士,主要研究方向:电力系统运行与控制、新能源发电技术。
  • 基金资助:
    国家电网公司大电网重大专项(SGCC-MPLG001-2012);国家电网公司2014年科技项目。

Power grid fault evolution model based on fuzzy cellular automata

YU Qun1, ZHANG Min1, CAO Na1, HE Qing2, SHI Liang1   

  1. 1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao Shandong 266510, China;
    2. Power System Institute, China Electric Power Research Institute, Beijing 100085, China
  • Received:2015-02-04 Revised:2015-03-20 Online:2015-09-10 Published:2015-09-17

摘要: 为了构建与实际电网更加接近的电网故障模型,将模糊理论及元胞自动机(CA)理论相结合,提出并建立了用于模拟电网故障演化的模糊元胞自动机模型,并定义了模型中元胞状态、电网状态及故障传递程度的模糊规则库,同时进行了基于IEEE39节点系统的电网故障传播演化过程仿真。仿真结果进一步验证了电网的自组织临界性(SOC),同时结果表明,该模型较不采用模糊规则的电网故障模型其损失负荷幂律特性曲线斜率绝对值增大了17%,电网更加稳定,该模型与电网实际运行情况更加接近。

关键词: 模糊理论, 元胞自动机, 电力系统, 大停电, 自组织临界性

Abstract: To build a power grid fault model which is closer to the actual power grid, a new model named FCA was proposed combined with fuzzy theory and Cellular Automata (CA) to simulate the evolution of power grid failure, and the fuzzy rule bases of cellular status, power status and degree of fault transmission in the model was defined. Meanwhile, simulation with FCA model based on IEEE39 node system was conducted. The simulation results further validate the Self-Organized Criticality (SOC) of power grid, and show that the absolute value of losses load power law curve slope of this model increases by 17% than the model without fuzzy rule, the grid is more stable, and the FCA model is closer to the actual operation of grid.

Key words: fuzzy theory, Cellular Automata (CA), power system, blackout, Self-Organized Criticality (SOC)

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