摘要
针对输电线路绝缘子性能的优劣对整个输电系统的安全运行起非常关键的作用,采用改进的自适应神经网络模糊推理系统(ANFIS)对绝缘子运行状态进行推理诊断,以有效诊断推理绝缘子污秽程度及闪络发生的可能性,训练中采用改进的学习方法,提高了推理网络的学习能力。试验结果表明,设计的绝缘子运行状态诊断系统具有优化学习能力,为准确推断绝缘子运行状态提供依据。
Power transmission line insulator is an important part for power system security. Because insulator has complex operating environment and its infection factors interact on each other, the diagrosis of insulator running state is very difficult. It is needed to use some useful information to diagnose insulator operating state. ANFIS networks have strong knowledge expressing, fuzzy reasoning and learning ability. They are used to diagnose insulator operating state in this paper. In order to improve the knowledge gain ability for ANFIS, improved learning way is used to train reasoning parameter. Experiment results show that the designed ANFIS network has strong reasoning and learning ability, which can diagnose insulator operating state efficiently.
出处
《水电能源科学》
北大核心
2009年第4期194-196,227,共4页
Water Resources and Power
基金
国家自然科学基金资助项目(50779020)
湖北省自然科学基金资助项目(2008CDB395)
