OPTIMIZING RENEWABLE ENERGY SITING AND SIZING WITH IWDO ALGORITHM TO ADDRESS VOLTAGE AND POWER ISSUES IN IEEE 30-BUS NETWORK

Abstract

The placement and sizing of renewable energy sources are critical for addressing power and voltage profile challenges in Nigeria’s power industry. With transmission lines experiencing unprecedented loading, power systems face issues such as line overloading, power losses, and voltage deviations. Optimizing real and reactive power through strategic integration of renewable energy at suitable buses can significantly reduce these problems. This study employs the Improved Wind Driven Optimization (IWDO) algorithm, a global heuristic optimization technique inspired by atmospheric motion, to optimally place and size renewable energy sources within the IEEE 30-bus system. The IWDO algorithm, implemented in MATLAB and validated against the conventional Wind Driven Optimization (WDO) method, demonstrated a 61.25% reduction in real power loss and a 57.02% reduction in reactive power loss, alongside a decrease in distributed generation capacity. Integrating renewable energy sources using IWDO not only minimizes power losses but also enhances system stability and reliability, advancing sustainable and efficient electricity distribution