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摘要: |
以电力系统中电压无功优化的非线性规划模型为基础,采用原对偶内点算法进行全局寻优;并在此基础上提出了一种预测校正方法,该方法通过协调解的最优性及可行性之间的关系提高算法的收敛性。对IEEE14节点和IEEE30节点系统的分析表明,带有预测校正方法的原对偶内点算法较单纯的原对偶内点算法所需迭代次数少,计算速度快,收敛性好。 |
关键词: 无功优化 非线性规划 原对偶内点法 预测校正 |
DOI: |
分类号:TM76 |
基金项目: |
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Primal-dual interior point algorithm for reactive power optimization |
GUO Jing CHEN Qing ZHANG Wei-xing
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Abstract: |
The primal-dual interior point algorithm is applied in global optimization on the basis ofnon-linear programming model for voltage-reactive power optimization,based on which a predictor-corrector technology is adopted to enhance the convergence by coordinating the optimality and feasibility. The analysis of IEEE 14-bus system and IEEE 30-bus system illustrates its less iterative times,faster calculation speed and better convergency. |
Key words: voltage-reactive power optimization,non-linear programming,primal-dual interior point algorithm,predictor-corrector |