SU Jia, JIANG Haipeng, JIANG Xiaodong, et al. Multi-period Static Security Region Model and Characterization Method for Power System Considering Timing Characteristics[J]. 2025, (23): 9225-9238.
SU Jia, JIANG Haipeng, JIANG Xiaodong, et al. Multi-period Static Security Region Model and Characterization Method for Power System Considering Timing Characteristics[J]. 2025, (23): 9225-9238. DOI: 10.13334/j.0258-8013.pcsee.241240.
With the large-scale integration of renewable energy
energy storage and other energy connected into the power grid
the new power system is facing enormous challenges in resource allocation
safe operation
and reliable power supply. The existing single-period static security region makes the security monitoring and control of the power system more scientific and effective
but it ignores the timing characteristics of power grid. Based on this
this paper proposes a model and characterization method for the multi-period static security region considering temporal constraints
aiming to ensure the security of the power system in the direction of time-series evolution. With the aim of coping with the increase of control variables and constraints due to the introduction of timing characteristics
the equivalence relationship between the regular stable equilibrium manifold of two-parameter dynamical system and the multi-period static security region of the power system is utilized. A three-stage characterization method based on decoupling is proposed
which realizes the complete characterization of the multi-period static security region of the power system. Meanwhile
a boundary expansion method is further proposed to quickly obtain the boundary of multi-period static security region
which significantly improves the characterization efficiency. Numerical simulations are conducted using IEEE 9 and IEEE 300 testing systems to analyze the necessity of considering temporal constraints. The applicability and effectiveness of the proposed method for complete characterization of the static security region are verified through model comparison and large-scale system testing.