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基于准稳态灵敏度和校正成本最小化的过载线路 实时校正方法
引用本文:罗永建,李晓明,黄彦浩,徐紫薇.基于准稳态灵敏度和校正成本最小化的过载线路 实时校正方法[J].电力系统保护与控制,2020,48(23):1-10.
作者姓名:罗永建  李晓明  黄彦浩  徐紫薇
作者单位:武汉大学电气与自动化学院, 湖北 武汉 430072;中国电力科学研究院,北京 100192
基金项目:国家自然科学基金项目资助(51277134)
摘    要:对过载线路潮流进行实时安全校正,对提高电力系统的安全运行水平具有重要的意义。现有基于灵敏度的校正算法较少考虑发电机的校正成本,不能够保证校正方案的经济性,故提出了一种基于准稳态灵敏度和校正成本最小化的过载线路实时校正方法。首先,分析了发电量转移分布因子的不足及准稳态灵敏度的优势。接着,利用综合灵敏度反映节点注入功率对所有过载线路功率的综合影响,进而筛选出对消除线路过载最有效的控制发电机集合。最后,建立以校正经济成本最低及参与校正发电机数目最少为目标函数的优化模型,利用混合整数线性优化方法求解模型。得到的校正方案能够在消除线路过载的情况下保证发电机运行成本较低且参与校正发电机数量较少,实用性更强。用IEEE 39及IEEE 118节点系统进行仿真计算,结果表明算法的快速有效性。

关 键 词:准稳态灵敏度  综合灵敏度  校正成本最小化  混合整数规划
收稿时间:2020/1/14 0:00:00
修稿时间:2020/3/12 0:00:00

Real-time correction method for overloaded lines based on quasi-steady-state sensitivity and correction cost minimization
LUO Yongjian,LI Xiaoming,HUANG Yanhao,XU Ziwei.Real-time correction method for overloaded lines based on quasi-steady-state sensitivity and correction cost minimization[J].Power System Protection and Control,2020,48(23):1-10.
Authors:LUO Yongjian  LI Xiaoming  HUANG Yanhao  XU Ziwei
Affiliation:1. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China; 2. China Electric Power Research Institute, Beijing 100192, China
Abstract:Real-time safety correction of overload line flow is of great significance for improving the safe operation level of power systems. Existing sensitivity-based correction algorithms rarely consider the correction cost of the generator and cannot guarantee the economics of the correction scheme. Therefore, a real-time correction method for overload lines based on quasi-steady-state sensitivity and correction cost minimization is proposed. First, the shortage of the power generation transfer distribution factor and the advantages of quasi-steady-state sensitivity are analyzed. Then, the comprehensive sensitivity is used to reflect the comprehensive influence of node injection power on the power of all overloaded lines, and then the most effective control generator set for eliminating line overload is screened. Finally, an optimization model is set up with the least correction economic cost and the least number of generators involved in the correction as the objective function, and the model is solved using a mixed integer linear optimization method. The obtained correction scheme can ensure that the generator runs at a lower cost under the condition of eliminating line overload, and the number of generators involved in the correction is small, and the practicability is stronger. The IEEE 39 and IEEE 118-node systems are used to simulate the calculations, demonstrating the fast and effective algorithm. This work is supported by National Natural Science Foundation of China (No. 51277134).
Keywords:quasi-steady-state sensitivity  comprehensive sensitivity  minimize correction costs  mixed integer programming
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