Maximization of Reactive Power Reserve in wind integrated power system using CHIO approach

The Reactive Power Reserve (RPR) is an important indicator to plan stable and secure power system operations. The evaluation of RPR is very important to analyze the performance of wind integrated power systems. The RPR should be kept as high as possible for a stable and secure operation of a power system. However, it is difficult to maintain adequate RPR in wind integrated power systems owing to the uncertainty associated with it. A scenario-based nonlinear, complex RPR maximization problem is proposed in this work to ensure the voltage stability of the wind integrated power systems. A newly developed ‘Coronavirus Herd Immunity Optimizer (CHIO)’ is utilized to solve the proposed problem. Programs are developed in MATLAB and tested on IEEE 30 bus system. The voltage controllers present in the power system are adjusted continuously during the optimization for optimality. Further, the free parameters of CHIO are also tuned through sensitivity analysis. The proficiency of CHIO is verified through various case studies and comparisons with other methods.