Voltage stability assessment prediction using a guide strategy-based adaptive particle swarm optimisation-neural network algorithm

<span lang="EN-US">In this work, the indicators of electrical power network stability and voltage (VS) are discussed developed with aim using a transfer index (PTSI) indicator as predictor for in networks. The was thus used to detect abnormally weak voltages buses within such system networks (weak). target data obtained Newton Raphson method (NR) include magnitude, phase angle, active reactive power. A new adaptive particle swarm optimization-neural algorithm based on guiding strategy (GSAPSO-NN) also achieve goal paper by improving mixed updates weightings neural decrease search time. All results were then compared actual values calculated PTSI NR method. final show only simple differences or approximately same both proposed classical methods. MATLAB-PSAT package employed obtain most these testing done IEEE14 bus well Iraqi 24-bus system. effectiveness validation hybrid assessing achieved.</span>