Analysis and mitigating of subsynchronous resonance in power system integrated with PV Power Station

Thumbnail Image
Mittapally, Sravan Kumar
Pang, Chengzong
Issue Date
Research Projects
Organizational Units
Journal Issue

Conventionally transmission line power transfer capability can be increased by inserting the series compensation into the transmission lines. Though series compensation is an economical solution compared to building a new transmission line, it brings the risk of Sub-Synchronous Resonance in turbine-generator system-based power plants. In literature mitigation of SSR was actively studied using wind turbine generators and FACTS devices, where certain type of WTGs is vulnerable to SSR and FACTS devices are expensive and are not capable to exchange active power with the grid. The structure of PV farms can bring the can bring the capabilities of WTGs and FACTS devices together while addressing their problems at the same time. Among different renewables wind and solar are the fastest growing, according to DOE SunShot initiative studies by 2050 solar serves an estimated 27% of the U.S. electricity needs. The rapid growth in utility connected PV farms has opened new possibilities, and due to its flexibility and dispatchability PV farms can handle the grid support functions more effectively, whereas its ability to mitigate the SSR is rarely investigated. This thesis addresses the potential of PV Power Station to mitigate SSR problem particularly torque amplification in series compensated systems by augmenting the GSC control loop with damping controller using a control signal which is closely related to the network resonant mode, utility scale PV farms are a promising solution to combat the increasing demand and grid support functions simultaneously. The simulation studies are performed in MATLAB/Simulink software using IEEE Second Benchmark Model (SBM) for SSR studies.

Table of Contents
Thesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
Wichita State University
Book Title
PubMed ID