摘要
针对高风电渗透率电力系统的快速主动解列问题,提出了一种两阶段高风电渗透率下大电网全时段快速主动解列策略。在第一阶段,通过修正系统的收缩导纳矩阵将风功率进行等值,离线计算出电机耦合程度的分类结果并对其功角拉普拉斯矩阵进行在线修正,进而在线获得当前的同调分群结果;在第二阶段,以图论为基础,通过约束谱聚类算法将解列断面搜索问题转换为广义特征值求解问题,并运用改进k-means算法快速求取实时的最优解列断面。最后通过IEEE 118节点系统仿真,验证了所提策略的正确性、有效性和快速性。
Aiming at the problem of fast active islanding of power system with high wind permeability, a two-stages fast active islanding strategy for large scale power grid under high wind power penetration is proposed in this paper. In the first stage, wind power is equivalent by modifying the shrink admittance matrix of the system. The power angle Laplacian matrix is modified online according to the offline calculation results of the coupling degree of the generators, and then the current coherency identification results are obtained online. In the second stage, a constrained spectral clustering algorithm is, based on graph theory, applied to transform the problem of islanding sections searching to the generalized eigenvalue problem, and the improved k-means algorithm is applied to get the real-time optimal islanding sections quickly. Finally, the correctness, effectiveness and rapidity of the proposed method are verified by the simulation in the IEEE 118-bus system.
引文
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