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Data-driven Probabilistic Static Security Assessment for Power System Operation Using High-order Moments 被引量:1

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摘要 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 semialgebraic 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.
出处 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2021年第5期1233-1236,共4页 现代电力系统与清洁能源学报(英文)
基金 This work was supported by the National Natural Science Foundation of China(No.52007163) in part by China Postdoctoral Science Foundation(No.2020M671718).
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