Accurate Semidefinite Programming Models for Optimal Power Flow in Distribution Systems
Accurate Semidefinite Programming Models for Optimal Power Flow in Distribution Systems
复制标题
配电系统中最优潮流的精确半定规划模型
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Baosen Zhang
中科院分区：
文献类型：
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作者：
Zeyu Wang;D. Kirschen;Baosen Zhang
本文建立了求解配电网最优潮流问题的半定规划模型。我们提出了两种模型：对称SDP模型，它是对现有BFM-SDP模型的改进。然后，在对称SDP模型的基础上，提出了一种解决绑定电压约束的OPF问题的电压调节模型。为了评估我们提出的OPF模型的准确性，我们依靠OpenDSS（一个潮流求解器）来生成潮流解决方案作为基准。综合实例研究表明，我们的SDP模型比现有方法具有更好的数值稳定性和更准确的结果
In this paper, we develop semidefinite programming (SDP) models aimed at solving optimal power flow (OPF) problems in distribution systems. We propose two models: the symmetrical SDP model which modifies the existing BFM-SDP model. Then based on the symmetrical SDP model, we develop a voltage regulation model that solves OPF problems with binding voltage constraints. To evaluate the accuracy of our proposed OPF models, we rely on OpenDSS, a power flow solver, to generate power flow solutions as the benchmarks. Comprehensive case studies are conducted showing our SDP models have better numerical stability and yield more accurate results than existing approaches