A genetic approach to power system topological observability

The authors describe a genetic approach to power system topological observability in state estimation. The genetic algorithms (GAs) are effective for the topological observability of combinatorial problems. Here, the problem is reformulated into one of the integer programming problems to make the cost function of GAs. The proposed method is examined in IEEE 14 and 30 node systems. The simulation results have indicated that the genetic algorithms are effective for the topological observability problem.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>