| 引用本文: | 许逵,孙婷,韩松,赵立进,马晓红.考虑运行损耗的故障限流器布点优化和容量选择[J].电力系统保护与控制,2015,43(5):21-26.[点击复制] |
| XU Kui,SUN Ting,HAN Song,ZHAO Lijin,MA Xiaohong.Optimal sitting and parameter selection for fault current limiter constrained with power losses[J].Power System Protection and Control,2015,43(5):21-26[点击复制] |
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| 摘要: |
| 为完善串联谐振型故障限流器的系统侧应用技术，提出了一种考虑运行损耗的故障限流器布点优化和容量选择方法。初步构建了一个以全网损耗增量和限流电抗值总和最小为目标函数，以母线短路电流、母线电压、限流器阻抗及其安装候选位置为约束条件的数学模型。借助PSS/E和Matlab粒子群算法工具包，实现了该优化问题的求解。案例研究在一个修改的IEEE-39节点系统中展开，不同台数优化安装方案的比较结果表明，该方法是有效的。其模型引入了网损变量，完善了传统目标函数中的经济性指标。 |
| 关键词: 短路电流 故障限流器 布点优化 参数优化 电网损耗 粒子群算法 |
| DOI：10.7667/j.issn.1674-3415.2015.05.004 |
| 投稿时间：2014-06-03修订日期：2014-07-08 |
| 基金项目:贵州电网公司重点科技项目(K-GZ2012-098);贵州省科教青年英才培养工程项目(2012151) |
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| Optimal sitting and parameter selection for fault current limiter constrained with power losses |
| XU Kui,SUN Ting,HAN Song,ZHAO Lijin,MA Xiaohong |
| (Guizhou Electric Power Testing and Research Institute, Guiyang 550001, China;Department of Electrical Engineering, Guizhou University, Guiyang 550025, China) |
| Abstract: |
| In order to improve the system-side application technology of series resonant-type fault current limiter (SRFCL), this paper proposes an optimization model and method constrained with power losses for optimal sitting and parameter selection of SRFCL. A mathematical model is initially developed based on particle swarm optimization (PSO) algorithm, whose objective function is subject to the minimization of the total impedance of SRFCLs and the power loss increment, bounded by the inequality constraints including short circuit current, bus voltage, current limiting reactance and candidate location. PSS/E software and the particle swarm optimization toolbox in Matlab are employed to solve the above optimization problem. The case study has been carried out in a modified IEEE-39 bus test system, and the comparison with the results from different SFCL placement schemes demonstrates that this methodology is effective, and it improves the economic indicator of the traditional method through introducing the system loss variable. |
| Key words: short-circuit current fault current limiter optimal sitting parameter selection power losses particle swarm optimization |
