Data-driven Probabilistic Static Security Assessment for Power System Operation Using High-order Moments

Abstract

In this letter, a new formulation of Lebesgue integration is used to evaluate the probabilistic static security of power system operation with uncertain renewable energy generation. The risk of power flow solutions violating any pre-defined operation security limits is obtained by integrating a semi-algebraic set composed of polynomials. With the high-order moments of historical data of renewable energy generation, the integration is reformulated as a generalized moment problem which is then relaxed to a semi-definite program (SDP). Finally, the effectiveness of the proposed method is verified by numerical examples.

Keywords

• Data-driven analysis
• probabilistic static security assessment
• power system operation
• distributionally robust approach