Techno-Economic and Voltage Secure Operation of Hybrid Power Systems in Optimal Power Flow Framework

The escalating growth and integration of clean energy sources into power systems introduces heightened fragility because of the inherent variability and unpredictability. Ensuring the optimal utilization of clean energy while maintaining operational efficiency, voltage security, and stability is a formidable challenge. This study focuses on achieving economically viable and voltage secure hybrid power system (HPS) operations amidst grid-connected renewable resources. By addressing the intermittent nature of wind and solar generation, this research evaluates the impact of intelligent scheduling strategies among three hybrid configurations: wind–solar–thermal (WST), hydro–solar–thermal (HST), and wind–hydro–solar–thermal (WHST). Emphasizing the optimal power flow (OPF) solution, this study aims to minimize the operating costs and maximize voltage security. A novel contribution lies in devising scheduling and dispatching strategies that adhere to real-time operational constraints. Validation is done on the IEEE-30 bus benchmark power system. The comparison between Jaya algorithm (JA) and particle swarm optimization (PSO) algorithms highlights the optimal generation schedules that effectively address the operational objectives.