Research Article Dual Strategy of Reconfiguration with Capacitor Placement for Improvement Reliability and Power Quality in Distribution System Ali Nasser Hussain , 1 Wathiq Rafa Abed , 2 and Mohanad Muneer Yaqoob 1 1 Middle Technical University, Electrical Engineering Technical College, Department of Electrical Power Engineering Techniques, Baghdad, Iraq 2 Middle Technical University, Institute of Technology, Electrical Power Department, Baghdad, Iraq Correspondence should be addressed to Mohanad Muneer Yaqoob; bcc0037@mtu.edu.iq Received 26 October 2022; Revised 21 January 2023; Accepted 13 February 2023; Published 15 March 2023 Academic Editor: Yuh Shyan Hwang Copyright © 2023 Ali Nasser Hussain et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Te demand for electrical power has been increasing rapidly due to higher industrial output and deregulation. Te concerns have been raised about the ability of distribution networks to provide adequate power for the customers with an appropriate level of quality and reliability. To ameliorate the performance of the radial distribution system (RDS), the optimal capacitor placement (OCP), and the distribution system reconfguration (DSR) strategies have been implemented in the current work to achieve the highest power quality and system reliability in a balanced manner at the same time. Tree diferent scenarios were implemented, the frst scenario of dual sequential (OCP after DSR), the second scenario of dual sequential (DSR after OCP), and the third scenario of dual simultaneous (DSR with OCP). Tese scenarios were tested on typical 33 and 69 bus IEEE RDS using the binary salp swarm algorithm (BSSA) based on the multiobjective functions (MOFs), in order to identify the most efective scenario performance that achieved the highest power quality and system reliability. Te MOF was formulated to improve the power quality by increasing the voltage buses and reducing the power losses. hile the constraints include limits of system reliability indices to provide optimal constraints on negative interactions of power quality. Te simulation results demonstrate that the second scenario of dual sequential (DSR after OCP) provide superior in comparison with the frst scenario of dual sequential (OCP after DSR) for enhancing the RDS reliability indices, voltage buses, and reducing power losses. Finally, the best result can be realized with dual simultaneous (DSR and OCP) in the third scenario compared to the dual sequential scenarios. 1. Introduction Distribution system failures cause 80% of all consumer outages, according to utility data. Moreover, the majority of customers are linked at the level of distribution, which represents the highest proportion of investment expenditures. Consequently, enhancing the reliability of RDS leads to raising the chances of the overall electrical power system to operate without failure. Terefore, efcient computing methodologies are required to assess the reliability of RDS [1, 2]. Te electrical network operator needs to provide electric power to the consumers while maintaining suitable levels of reliability and keeping the node voltages within allowable limits [3]. To reduce the fault currents and an efcient confguration of protective devices, the distribution system (DS) is built as a radial structure [4, 5]. RDS is reconfgured utilizing the normally open (N.O), as well as normally close (N.C) switches to establish the radial limitation, which improves overall performance [6, 7]. Numerous issues with RDS, including increased active losses, bus voltage varia• tions, overloading, and of•balance loads can be resolved by utilizing a variety of ways. Te following methods are suggested for resolving the aforementioned RDS issues: distributed generation (DG), OCP, and DSR [8–10]. In conjunction with increased the demand for electric power, the scarcity of fossil fuel resources with its high costs, Hindawi Journal of Engineering Volume 2023, Article ID 1943535, 19 pages https://doi.org/10.1155/2023/1943535