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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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作者 Guanzhong Wang Zhiyi Li +3 位作者 Feng Zhang Ping Ju Hao Wu Changsen Feng 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2021年第5期1233-1236,共4页
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 viol... 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. 展开更多
关键词 Data-driven analysis probabilistic static security assessment power system operation distributionally robust approach
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