Advanced Energy Management and Planning Strategies for the IEEE 33-Bus System: Integration of EV Penetration, INVELOX Turbines, and Bifacial PV Panels

Abstract

The rapid urbanization and growing population in cities present significant challenges in energy management. Smart cities aim to address these challenges by leveraging advanced technologies to optimize energy production, distribution, and consumption. This paper explores advanced energy management and planning strategies for the IEEE 33-Bus system through the synergistic integration of Electric Vehicle (EV) penetration, INVELOX turbines (IWT), and bifacial photovoltaic (BPV) panels. These innovative technologies offer substantial potential for enhancing power distribution systems’ efficiency, reliability, and sustainability. The integration of these elements is examined to understand their combined impact on energy management, system stability, and overall grid performance. The findings provide a comprehensive understanding of how these technologies can be harnessed to optimize energy management in modern power systems. Multi-objective functions, including total cost and emission, are considered, which should be minimized simultaneously. The study models a mixed integer quadratic linear programming (MIQCP) in GAMS software and solves it using CPLEX. Furthermore, the weighted sum approach is used to solve this problem. The final results show the efficiency and accuracy of responses and the operator’s planning in addressing the distribution network (DN) issues.