A Sparse Tableau Formulation for Node-Breaker Representations in Security-Constrained Optimal Power Flow
A Sparse Tableau Formulation for Node-Breaker Representations in Security-Constrained Optimal Power Flow
复制标题
安全约束最优潮流中节点断路器表示的稀疏 Tableau 公式
DOI:
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发表时间:
2019
影响因子:
6.6
通讯作者:
C. DeMarco
中科院分区:
文献类型:
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作者:
Byungkwon Park;Jesse T. Holzer;C. DeMarco
Realistic representations of contingencies in AC optimal power flow (ACOPF) often challenge traditional bus-branch network models. Derived from nodal analysis, such approaches represent network constraints in terms of the familiar bus admittance matrix, <inline-formula><tex-math notation="LaTeX">$Y_{\text{bus}}$</tex-math></inline-formula>. A fixed <inline-formula><tex-math notation="LaTeX">$Y_{\text{bus}}$</tex-math></inline-formula> is unable to represent common circuit breaker actions such as bus splitting. Work-arounds for <inline-formula><tex-math notation="LaTeX">$Y_{\text{bus}}$</tex-math></inline-formula>-based analysis typically rely on topology processing, switching between different <inline-formula><tex-math notation="LaTeX">$Y_{\text{bus}}$</tex-math></inline-formula> matrices depending on breaker settings. In this paper, we propose a very general node-breaker approach, employing multi-port element models and using a sparse tableau formulation (STF) for network constraints. Instead of treating breaker action as altering network topology, and hence changing the structure of Kirchhoff's voltage law (KVL) and Kirchhoff's current law (KCL) equations, this approach represents a breaker's position as impacting only constraints associated with a single component, thereby maintaining fixed structure in the KVL and KCL constraints. While larger numbers of variables are required, STF proves sparser than <inline-formula><tex-math notation="LaTeX">$Y_{\text{bus}}$</tex-math></inline-formula> formulations. Numerical case studies herein demonstrate that STF provides computational efficiency comparable to a <inline-formula><tex-math notation="LaTeX">$Y_{\text{bus}}$</tex-math></inline-formula>-based ACOPF at the scale of several hundred buses, and lower computational cost in an example of over one thousand buses.