A Multi-Objective Optimization Based Optimal Reactive Power Reward for Voltage Stability Improvement in Uncertain Power System

The rudimentary cause of blackouts is identified as instability in the voltage profile. This paper emphasizes the recuperation of voltage stability in presence of numerous generation uncertainty. Combination of wind turbine generation (WTGs) and Photovoltaic (PV) solar generation variations coupled at the consumer end is accounted for here. The stability limit violation due to ambiguities has been regulated by formulating a restrained objective function to augment the margin of voltage stability and in-turn lower active power losses and reactive power losses. A multi-objective problem is formulated to minimize deviation in voltage, power loss, and enhance reactive margins while satisfying the operating constraints. Initially, the dynamic load flow program is designed to account for generation uncertainties at all load bus. Exposed to indefinite inputs, a detrimental case is identified by the severity index while considering line flow limits. The optimal placement of the reactive power compensation device is determined using L-index. Last, of all, the optimal value of compensation is obtained using the Black Hole Algorithm (BHA). The results are authenticated using Differential Evolution Algorithm (DE). The aforementioned problem has been tested on the IEEE-14 bus system.