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。
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.
出处
《计算机应用》
CSCD
北大核心
2015年第9期2682-2686,共5页
journal of Computer Applications
基金
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
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
fuzzy theory
Cellular Automata （CA）
power system
blackout
Self-Organized Criticality （SOC）
