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作 者:郑硕硕 刘洪正 朱爽 Zheng Shuoshuo;Liu Hongzheng;Zhu Shuang(School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 255000,Shandong,China;Electric Power Research Institute of State Grid Shandong Electric Power Company,Jinan 250000,China)
机构地区:[1]山东理工大学电气与电子工程学院,山东淄博255000 [2]国网山东省电力公司电力科学研究院,济南250000
出 处:《电测与仪表》2019年第3期70-75,81,共7页Electrical Measurement & Instrumentation
摘 要:随着现代电力系统输电容量的不断增加,电力系统短路电流过大的问题变得越来越严重。不仅仅是三相短路电流(TSCC),单相短路电流(SSCC)也是不断增大。文中提出了一种限制TSCC和SSCC的两步优化方法,分析了各种限制措施的特点。TSCC的限制措施同时可以限制SSCC,但是SSCC的限制措施却对TSCC没有影响。首先在考虑成本和网络紧密度的情况下使用自适应混合PSO算法对TSCC限制措施的配置进行优化。这一步后,应消除过大的TSCC。基于求取的TSCC最佳配置方案,继续对SSCC进行优化,以最小成本为目标使用混合整数规划,得到SSCC限制措施的最佳配置。这是一种两步短路限流优化方法。鉴于TSCC限制措施对SSCC的限制作用和混合整数规划的高计算速度,在很多实际情况下,SSCC的优化可能会被忽略,从而使得优化速度更快,因此更适合于在线应用。以两个实际区域电力系统为例,验证了所提两步优化方法的有效性。With the continuously increasing capacity of modern power system,the problem of excessive short circuit current is becoming more and more severe.Not only the three-phase short circuit current(TSCC),but also the single-phase short circuit current(SSCC)has exceeded the upper limit.In this paper,a two-step optimization method to limit both of TSCC and SSCC is proposed.Different characteristics of various limiting measures have been analyzed.The limiting measures for TSCC can limit SSCC.However,the limiting measures for SSCC have no effect on TSCC.The configuration for TSCC limiting measures is optimized using adaptive hybrid PSO algorithm firstly,which considers the cost and grid tightness at the same time.After this step,the excessive TSCC should be eliminated.Based on the obtained optimal configuration for TSCC,the optimization for SSCC continues,which makes a two-step short circuit current limiting method.The optimal configuration for SSCC limiting measures is obtained through using hybrid integer programming with minimum cost as the objective.The limiting effect of TSCC limiting measures for SSCC is given,as well as the high calculating speed of hybrid integer programming.The optimization for SSCC might be omitted in many actual cases,which makes a faster optimization speed therefore is more suitable for online application.The effectiveness of the proposed two-step optimization method is validated by the cases of two actual regional power systems.
分 类 号:TM732[电气工程—电力系统及自动化]
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