Abstract
In the context of high-level integration of stochastic renewable energy resources such as wind and solar power, the practical dynamic security region (PDSR) with hyper-plane expression is a powerful tool for power system situational awareness and stability-constrained operation. In this paper, a hybrid data-driven method is proposed to fast approximating the PDSR boundary with hyper-plane expression. Firstly, the operating point data in the high-dimension nodal injection space is analyzed by the RELIEF algorithm to identify the key generators, active output of which has relatively great effect on transient angle stability. Then, based on the orthogonal point selection method and key generators, the equivalent search space and critical points inside it are determined with high accuracy and high speed. The hyper-plane expression of the PDSR boundary, which matches the critical points best, is finally fitted by the least square approach. Test results obtained using the IEEE 39-bus test system show the efficiency of the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Electrical Power & Energy Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
