A NOVEL LOAD SHEDDING METHOD TO IMPROVE TRANSMISSION LINE PERFORMANCE AND VOLTAGE STABILITY MARGIN

In this paper, a novel method based on Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) technique is proposed for solving Under Voltage Load Shedding (UVLS) problem. Load curtailment as ultimate control action is performed by under voltage load shedding scheme to guarantee power system voltage stability in contingency conditions. In addition, the proposed under voltage load shedding scheme pursue improvement transmission line performance by alleviating line over loadings and active power loss objects in presence of minimization customer interruption cost. Customer interruption cost has been modeled as a quadratic function in five major load classifications. Consequently, under voltage load shedding has been modeled as multiobjective problem and carried out on 14 and 57 bus IEEE test systems and results are discussed. The simulation results are checked by Particle Swarm Optimization and it shows the efficacy and advantages of proposed method.