Quantitative Analysis of Dynamic Response Features of Sending-end Power Grid under LCC-HVDC Blocking

Abstract

Regarding the stability analysis and protection control of line-commutated converter-based high voltage direct current (LCC-HVDC) sending-end power grid, the assessment and extraction of dynamic response features is of great importance. This paper proposes a two-stage approach incorporating local and global analyses to extract the spatiotemporal distribution features of dynamic frequency and voltage responses of large sending-end power grid under LCC-HVDC blocking. From the perspective of time, the local quantitative indices are constructed in the first stage to measure the response time delay, deviation magnitude, rate of change and cumulative effects of dynamic trajectories. Then in the second stage, the temporal features of different observation sites are compared globally, in which the observation space and dissimilarity matrices are created to depict the spatial disparities of the whole observation region. Based on the extracted spatiotemporal features, a typical dynamic response pattern of sending-end power grid is captured to detect the LCC-HVDC blocking. Sichuan power grid in China is selected as a case study to verify the proposed approach and demonstrate the obtained features and pattern.