Abstract
With the increasing power demand and major blackout events, power systems are operating under more stressed conditions, approaching their stability limits. Voltage stability margin (VSM) characterizes a measure of distance to the power flow insolvability/infeasibility boundary that needs to be precisely calculated and effectively monitored, yet it can be challenging considering varying operational constraints and loading scenarios. Focusing on static power flow equations in this paper, a novel sequential conic programming (SCP) algorithm is proposed based on linear approximations of non-convex functions for an optimization-based VSM calculation. Compared with existing methods, the performance of proposed SCP is more robust against different operating scenarios where desired features of being initialization-free, exact, scalable, and applicable can be appropriately achieved. Multiple test cases validate the advantages and effectiveness of the proposed approach. © 2025 Elsevier Ltd.
| Original language | English |
|---|---|
| Article number | 102108 |
| Number of pages | 8 |
| Journal | Sustainable Energy, Grids and Networks |
| Volume | 45 |
| Online published | 23 Dec 2025 |
| DOIs | |
| Publication status | Published - Mar 2026 |
Funding
This work was supported by the Research Start-up Fund of Chengdu University of Information Technology under Grant KYTZ202503, and partially by a Start-up Grant at City University of Hong Kong and the Global STEM Professorship, Hong Kong, China.
Research Keywords
- Linear approximation
- Maximum loading factor
- Optimal power flow
- Static voltage stability
- Successive convex optimization
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