Kubernetes容器集群环境下新型供电系统响应速度优化

Response speed optimization of a new power supply system in Kubernetes container cluster environment

针对供电系统响应速度计算结果准确率较低,导致新型供电系统的平均有损功耗过大的问题,研究了一种Kubernetes容器集群环境下新型供电系统响应速度优化方法。以新型供电系统供电速率最大值为目标函数,列举新型供电系统响应速度优化公式,采用粒子群优化算法计算出Ku⁃bernetes容器集群环境下新型供电系统响应速度指标。利用供电系统的重合器和振荡器,将响应速度馈线区分成若干个区域,由负荷断电频率指标和负荷断电持续时间指标得出新型供电系统的响应速度指标,通过新型供电系统响应速度变量与响应速度指标之间的关系,使用模糊隶属度函数评估新型供电系统响应速度的稳定性,设计Kubernetes容器集群环境下新型供电系统响应速度优化方法。实验结果表明,研究的新型供电系统响应速度优化方法能够有效提高检测结果准确率,降低新型供电系统的平均有损功耗。

In view of the low accuracy of the calculation results of the response speed of the power supply system,which leads to the excessive average lossy power consumption of the new power supply system,an optimization method for the response speed of the new power supply system in the Kubernetes container cluster environment is studied.Taking the maximum power supply rate of the new power supply system as the objective function,the optimization formula of the response speed of the new power supply system is listed,and the response speed index of the new power supply system in the Kubernetes container cluster environment is calculated by using the particle swarm optimization algorithm.Using the recloser and oscillator of the power supply system,the response speed feeder area is divided into several areas,and the response speed index of the new power supply system is obtained from the load outage frequency index and the load outage duration index.Through the relationship between the response speed variable and the response speed index of the new power supply system,the stability of the response speed of the new power supply system is evaluated by using the fuzzy membership function,design the response speed optimization method of new power supply system in Kubernetes container cluster environment.The experimental results show that the new power supply system response speed optimization method can effectively improve the detection accuracy and reduce the average loss power consumption of the new power supply system.