Key Cutting Algorithm Application to Measurement Placement for Power System State Estimation

This paper proposes the application development of a new optimization algorithm called Key Cutting Algorithm (KCA) to solve the measurement placement for power system state estimation. The “0” and “1” in KCA are represented as measurement installation in power system. Similarity probability of a key to a key set is introduced for a new measurement installation. Observability and critical measurement are included in the objective function to guarantee the critical measurement free in measurement scheme. The numerical results show that the KCA with low probability factor yields the best answers in terms of percent of the best hit.