摘要
为提高接地网故障诊断的准确性和效率,在总结现有故障诊断方法基础上,提出基于萤火虫-粒子群混合算法(GPSO)的分区域诊断方法。该方法通过优化接地网故障诊断方程组模型,使之转化为等价的优化问题;根据接地网的可及节点分布情况对接地网分区,应用分层约简理论将接地网分解得到本征接地网络;对本征接地网建立优化模型,采用萤火虫-粒子群混合算法对优化问题进行求解;根据本征支路电阻的前后变化以及每条支路对应的接地网区域,分析判断接地网各个区域内的故障情况。该方法综合利用萤火虫算法的寻优能力和粒子群算法的收敛速度,有效避免诊断方程组时的欠定问题,对于指导变电站现场维护更加有效和具有工程实际意义。实例应用结果验证了所提方法的正确性和实用性。
To improve the accuracy and efficiency of fault diagnosis for grounding grid, a regional diagnostic method based on glowworm-particle swarm hybrid optimization （GPSO） algorithm （GPSO） is proposed. This method by optimizing the fault diagnosis equations model, convert it into the equivalent optimization problem; The grounding grid＇s region is separated based on the distribution of accessible nodes, and the network topology is simplified to obtain the intrinsic grounding grid by the theory of hierarchical simplification. For the intrinsic grounding grid, the next step is to apply optimization model and GPSO algorithm to calculate the value changes in each intrinsic branch. Consequently,the fault regions are judged by tracing from the intrinsic grounding grid to the upper layers. On the basis of the GSO and PSO, this method has advantages as high precision, high speed, high stability, which is meaningful to instruct on--site maintenance. An example is applied to verify the validity and usefulness of the proposed method.
出处
《电瓷避雷器》
CAS
北大核心
2015年第4期92-99,共8页
Insulators and Surge Arresters
基金
国家自然科学基金(编号:60504010)
国家高新技术863发展计划(编号:2008AA04Z129)
上海市自然科学基金(编号:14ZR1421800)
流程工业综合自动化国家重点实验室开放课题基金资助
关键词
接地网
故障诊断
分区
分层约简
萤火虫-粒子群算法
grounding grid
fault diagnosis
region separated
hierarchical simplification
GPSO
