Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol. 9, No. 4, December 2021, pp. 880~906 ISSN: 2089-3272, DOI: 10.52549/ijeei.v9i4.3432  880 Journal homepage: http://section.iaesonline.com/index.php/IJEEI/index Distribution network reconfiguration considering DGs using a hybrid CS-GWO algorithm for power loss minimization and voltage profile enhancement Pujari Harish Kumar 1 , Mageshvaran Rudramoorthy 2 1,2 School of Electrical Engineering, Vellore Institute of Technology, India. Article Info ABSTRACT Article history: Received Oct 8, 2021 Revised Nov 26, 2021 Accepted Dec 14, 2021 This paper presents an implementation of the hybrid Cuckoo search and Grey wolf (CS-GWO) optimization algorithm for solving the problem of distribution network reconfiguration (DNR) and optimal location and sizing of distributed generations (DGs) simultaneously in radial distribution systems (RDSs). This algorithm is being used significantly to minimize the system power loss, voltage deviation at load buses and improve the voltage profile. When solving the high-dimensional datasets optimization problem using the GWO algorithm, it simply falls into an optimum local region. To enhance and strengthen the GWO algorithm searchability, CS algorithm is integrated to update the best three candidate solutions. This hybrid CS-GWO algorithm has a more substantial search capability to simultaneously find optimal candidate solutions for problems. The obtained test results for the 33-bus system show that minimization of active power loss was enhanced by 74.73%,73.35%, and 80.37% for light, nominal, and heavy load conditions, respectively, and similarly for 69- bus system is 81.50%, 84.74%, and 88.86%. The minimum voltage value for 33- bus system under nominal load condition was enhanced from 0.9130 p.u to 0.9865 p.u and similarly for the 69-bus system is 0.9094 p.u to 0.9842 p.u. Respectively. Furthermore, to validate the effectiveness and performances of the proposed hybrid CS-GWO algorithm with existing methods is presented. This method is tested and evaluated for standard IEEE 33-bus and 69-bus RDSs by considering different scenarios. Finally, the comparative analysis shows that the proposed algorithm was more efficient in minimizing power losses and enhancing the voltage profile of the system. Keyword: Distributed generator, Distribution network reconfiguration, Grey wolf algorithm, Cuckoo search algorithm, Power loss reduction, Voltage profile. Copyright © 2021 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Mageshvaran Rudramoorthy, School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India Email: rmageshvaran@vit.ac.in 1. INTRODUCTION The distribution system (DS) is the final stage in the construction and planning electrical power system, which delivers the power between the transmission and end-user consumer. Transmission networks operate in loops/radial structures and distribution networks always operate in radial structure to reduce the short circuit currents. Distribution network reconfiguration (DNR) is defined as the process of varying the topological arrangement of distribution feeders by changing the open/closed status of sectionalizing and tie switches concerning system constraint and satisfying the operator objectives. The most common practice methods used by researchers widely for power loss (PL) reduction and voltage profile improvement in DS is network reconfiguration (NR) and DGs integration in DS [1,2]. Generally, distribution networks/systems are reconfigured to minimize the system PL and relieve overload. However, dynamic loads in the system may increase total system loads; it may be higher than its generation capacity sometimes, making it difficult to relieve the load on the feeders. Due to this problem system voltage profile may not be enhanced to the required