Accurate coordination method based on the dynamic model of overcurrent relay for industrial power networks taking contribution of induction motors into account

被引:17
作者
Maleki, Mahdi Ghotbi [1 ]
Mohammadi, Reza [1 ]
Farrokhifar, Meisam [2 ]
机构
[1] Shahid Beheshti Univ AC, Dept Elect Engn, Tehran, Iran
[2] Skolkovo Inst Sci & Technol, Ctr Energy Syst, Moscow, Russia
关键词
relay protection; fault location; power distribution protection; power distribution faults; short-circuit currents; overcurrent protection; genetic algorithms; induction motors; conventional coordination constraints; false trip issue; nondirectional OC relays; power network; accurate coordination method; dynamic model; overcurrent relay; industrial power networks; SCC; transient currents; transient component; miscoordination; backup relays; conventional relay coordination methods; specific fault location; relays coordination; FAULT CURRENT CONTRIBUTION; SHORT-CIRCUIT;
D O I
10.1049/iet-gtd.2019.0325
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Induction motors are widely used in the industry. These motors contribute to short-circuit currents (SCCs) by generating transient currents. The transient component in the SCC causes a change in the operating times of the overcurrent (OC) relays and miscoordination between the main and the backup relays. Therefore, the conventional relay coordination methods that use fixed SCCs for a specific fault location are not suitable for industrial power networks. In addition, the contribution of induction motors may cause a false trip in non-directional OC relays at healthy feeder. Here, a method based on the dynamic model of the OC relay is proposed to take the effect of transient component of SCC into account in relays coordination. A new set of constraints is added to the conventional coordination constraints in order to solve the false trip issue. In this case, an optimisation algorithm is needed to coordinate non-directional OC relays. The proposed method is implemented in a power network of cement factory and the results indicate the effectiveness of the proposed method. Here the genetic optimisation algorithm has been used and the simulation has been achieved using DIgSILENT and MATLAB software.
引用
收藏
页码:645 / 655
页数:11
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