Integrated Operation Of PV, DSTATCOM And EV Charging Infrastructure In Distributions Systems For Enhancing Voltage Stability Using Pelican Bird Optimization

Abstract

Radial Distribution Systems (RDS) play a vital role in electrical power delivery but face several operational challenges such as high power losses, poor voltage profiles, and limited flexibility for integrating distributed energy resources. These issues are further exacerbated by the growing penetration of Photovoltaic (PV) systems, Distributed Static Compensators (DSTATCOM), and particularly Electric Vehicle Charging Stations (EVCS). While EVCS are essential for promoting sustainable transportation, their uncoordinated integration into RDS can lead to voltage instability, increased peak demand, and system congestion, highlighting the need for optimized planning.

This paper presents an integrated planning methodology using the novel Pelican Bird Optimization (PBO) algorithm for optimal placement and sizing of PV, DSTATCOM, and EVCS in the IEEE 69-bus radial distribution system. Inspired by the cooperative hunting behavior of pelicans, the PBO algorithm offers strong global search ability and rapid convergence, making it suitable for solving complex, multi-objective optimization problems in power systems. The optimization aims to minimize real and reactive power losses while improving the system's voltage profile, subject to voltage, capacity, and power balance constraints. Simulation results demonstrate a significant reduction in real and reactive power losses from 224.90 kW and 102.12 kVAr to 6.86 kW and 6.16 kVAr, respectively. The minimum bus voltage is enhanced from 0.909 p.u. to 0.973 p.u. Comparative evaluation with HPO, AVOA, and GWO algorithms confirms the superior performance of PBO in terms of loss minimization, voltage stability, and computational efficiency. The proposed approach provides a robust solution for enhancing the performance of modern RDS under high EVCS penetration