电网可靠性评估的建模和仿真研究  

Modeling and Simulation of Power Reliability Evaluation

作　　者：李丽颖[1] 孙跃国[2] 

机构地区：[1]吉林师范大学计算机学院,吉林四平136000 [2]吉林大学汽车学院,吉林长春130000

出　　处：《计算机仿真》2012年第4期337-340,共4页Computer Simulation

摘　　要：研究城市电网可靠性评估问题,由于受到负荷、元件响应、配台数等多种因素影响,电网可靠性变化过程具有复杂非线性,难以建立准确、可靠的数学模型,导致评估的准确率低。为了提高电网可靠性评估的准确率,提出一种基于遗传支持向量机的电网可靠性评估模型。首先对影响电网可靠性因素进行分析和选择,并将其作为模型输入,供电可靠率作为输出。然后基于非线性学习能力强的遗传支持向量机建立评估指标与电网可靠性之间复杂的非线性关系模型。仿真结果表明,相对于经典评估算法,遗传支持向量机提高了可靠性评估准确率,是一种有效的电网可靠性评估方法。Study about the city grid reliability evaluation problems.The city grid structure is complex and has many influence factors,the grid reliability evaluation is more difficult,and the traditional evaluation method cannot establish accurate grid reliability evaluation model.In order to improve the accuracy of grid reliability evaluation based on genetic,the paper put forward a grid reliability evaluation model based on support vector machine.First,the reliability factors influencing power grid were taken as the inputs of the support vector machine,and the power supply reliability as the evaluation index.Then a genetic algorithm was used to optimize the parameters of SVM.Finally,support vector machine was optimized for grid reliability evaluation.The simulation results show that,compared with classic evaluation algorithm,the genetic support vector machine improves the accuracy,and is an effective power grid reliability assessment method.

关 键 词：电网可靠性 评估算法 支持向量机 遗传算法 

分 类 号：TM732[电气工程—电力系统及自动化]