TY - JOUR ID - 21914 TI - A new approach to the setting of directional overcurrent relays by incorporating cascading outages JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Karimkhan Zand, H. AU - Mazlumi, K. AU - Bagheri, A. AD - - Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran - Zanjan Electricity Distribution Company (ZEDC), Zanjan, Iran AD - Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran Y1 - 2022 PY - 2022 VL - 29 IS - 3 SP - 1562 EP - 1572 KW - Directional overcurrent relays KW - Distribution networks KW - uncertainty KW - Cascading outages KW - multi-objective optimization KW - Genetic Algorithm DO - 10.24200/sci.2020.54782.3916 N2 - Directional overcurrent relays (DOCRs) are the essential protective devices in distribution networks which are usually set without considering any contingencies. However, the current challenge in power systems is the existence of uncertainty and its unfavorable consequences. It sometimes appears that some elements simultaneously fail which makes other parts to be overloaded to the extent that it leads to cascading outages. Therefore, DOCRs may have mal-operation which ends in unwanted trips when there is no fault, or they may not operate in the case the fault is located within their reach point. In such cases, the coordination setting will need complex programming with many related non-linear inequality constraints. In this paper, a novel hybrid method is proposed based on multi-objective optimization including new objective functions by using the genetic algorithm (GA). Also, the cascading outages are considered in the presented method based on network data analysis. This approach is performed on distribution part of the IEEE 14-bus meshed system, and a real industrial radial feeder named TOSEE, located in Iran. The simulations have been implemented in MATLAB and PowerFactory-DIgSILENT software packages in different models, and the results are evaluated. UR - https://scientiairanica.sharif.edu/article_21914.html L1 - https://scientiairanica.sharif.edu/article_21914_281ed303137360a88feafa7f186323f8.pdf ER -