Spectral Kurtosis-Based Fault Detection for a Highly Penetrated Distributed Generation: A Real-Time Analysis

摘要

Increment in the difference between demand and generation for the power compelled the researcher and policymakers to opt for renewable energy sources. Along with the constraints such as low running cost, high government subsidy, and free fuel availability playing a significant role for the exponential boom in the solar photovoltaic integration to the existing power system network. Among the various distributed energy resources, sources with voltage-soured converter are gaining popularity due to the flexibility in control as well as high-quality power to the end-user. Due to some of the aforementioned causes, ample amount of solar photovoltaic integration is making the distribution side further closer to self-sufficiency but due to the integration some of major issues such as uneven distribution of voltages, relay setting problems are very common. As the relay settings get disturbed, so it is very important to detect the various types of faults with maximum reliability. Spectral kurtosis-based fault analysis on a microgrid is proposed to mitigate this protection problem. To demonstrate the proposed fault detection technique, a four-bus microgrid is considered in Typhoon HIL real-time environment.