A Neural Lyapunov Approach to Transient Stability Assessment in Interconnected Microgrids

• DOI: 10.24251/hicss.2021.405
• Publication Date: 2021-02-09T03:04:04Z
• Authors: Tong Huang; Sicun Gao; Xun Long; Le Xie
• Keywords: Microgrid; Transient (computer programming)

We propose a neural Lyapunov approach to assessing transient stability in power electronic-interfaced microgrid interconnections. The problem of assessment is cast as one learning network-structured function the state space. Based on learned, security region estimated for monitoring interconnected microgrids real-time operation. efficacy tested and validated grid-connected three-microgrid interconnection. A comparison study suggests that proposed method can achieve less conservative characterization region, compared with conventional approach.