A Bi-Level Techno-Economic Optimal Reactive Power Dispatch Considering Wind and Solar Power Integration

With urban and rural infrastructure development, the power system is being forced to operate at or near its full capacity. This paper proposes four new methodologies find solution optimal reactive dispatch (ORPD) problem, considering capabilities of modern DFIG-based WTs VSI-based solar PV. The proposed formulation considers techno-economic objective functions, specifically minimization active cost maximization reserve. leads an effective probabilistic multi-objective ORPD (PMO-ORPD) especially in context wind farms (WFs) formulations are necessary for effectively managing systems with renewable energy sources contribute developing efficient sustainable systems. Additionally, this study employs mathematical modeling that incorporates Weibull, lognormal, normal probability distribution functions (PDFs) represent uncertainties wind, solar, load demand. Monte-Carlo simulation (MCS) employed generate scenarios, allowing a comprehensive analysis PMO-ORPD problem. A two-phase (ToP) evolutionary algorithm proposed, which superiority feasibility constraints solve From comparison results, it has been observed solves deterministic problems.