Optimalno pozicioniranje sinhrofazorskih jedinica primenom genetičkog algoritma

Energy transition implies a larger share of the intermittent renewable energy sources connected to power grid. These utilities can change their production within short period time, thus, significantly affecting voltage conditions and load flows in This adds complexity achieving required reliability stability system. Proper timely insight into grid parameters plays an important role regulation such Implementation Phasor Measurement Units (PMUs) provides information about electrical with as much microsecond precision. Therefore, possible occurring dynamical processes could also be observed regulated proper manner. Considering PMU give regarding phasor well currents adjacent branches, observability system achieved even if some nodes are not equipped own PMU. Furthermore, installation every node is economical solution considering size number PMUs accordingly. One should assess sufficient cautiously locate them carefully order maintain observability, but reduce expenses possible. In topology vast usage metaheuristic optimization algorithms adequate criteria function limiting computing time compared linear non-linear programming algorithms. addition, quality preserved. this paper, genetic algorithm proposed determine position for several different samples.