A Reserve Constrained Optimum Reactive Power Dispatch in Wind-Integrated Power Systems Using Coronavirus Herd Immunity Optimizer

Abstract

The optimal reactive power dispatch (ORPD) plays a significant role in planning stable and secure power system operations. The challenges associated with the stable operation of power system networks increase with the rise in wind energy penetration into the system. To guarantee the secure operation of wind-integrated power system networks, a scenario-based reserve constrained optimal reactive power dispatch (RC-ORPD) approach is proposed in this work. For this, the effect of uncertain wind power penetration on the effective reactive reserve (ERR) and voltage stability indicator (L-index) is assessed. The threshold ERR required to retain in the system is evaluated, and is incorporated as an additional constraint to the conventional ORPD problems. The proposed problem is modeled as a scenario-based non-linear complex optimization problem and is solved using a newly developed meta-heuristic called “Coronavirus Herd Immunity Optimizer (CHIO)”. Programs are developed in MATLAB and tested on the wind-integrated IEEE 30, IEEE 118, and practical Indian 62 bus systems. The anticipated strategy is validated through several case studies and comparisons. The comparison reveals that the newly added constraint improves the voltage stability of the wind-integrated power systems without negotiating much on the numerical values of the objectives. Also, the efficacy of the CHIO is verified through statistical studies and comparisons with other contemporary algorithms.