A Hybrid Current-Power Optimal Power Flow Technique
A Hybrid Current-Power Optimal Power Flow Technique
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DOI：
10.1109/pes.2008.4595969
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发表时间：
2008-01
影响因子：
6.6
通讯作者：
Whei-Min Lin;Cong-Hui Huang;Tung-Sheng Zhan
中科院分区：
文献类型：
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作者：
Whei-Min Lin;Cong-Hui Huang;Tung-Sheng Zhan
提出了一种基于等效电流注入（ECI）的混合电流-功率最优潮流（OPF）模型，并将预测-校正内点算法（PCIPA）用于求解非线性规划（NLP）问题。所提出的方法可以进一步分解成两个子问题。IEEE 9 ~ 300节点的算例表明，所提算法在迭代次数、存储空间和CPU时间等方面都有明显的提高。
An equivalent current injection (ECI)-based hybrid current-power optimal power flow (OPF) model is proposed in this paper, and the predictor-corrector interior point algorithm (PCIPA) is tailored to fit the OPF for solving nonlinear programming (NLP) problems. The proposed method can further decompose into two subproblems. The computational results of IEEE 9 to 300 buses have shown that the proposed algorithms can enhance the performance in terms of the number of iterations, memory storages, and CPU times.