A parallel algorithm to power systems state estimation

In this paper, the authors develop a theoretically robust and computationally efficient state estimator algorithm, to solve the WLS problem by using parallel processing. Technical developments in distributed energy management systems (EMS), based on fast data communication networks, open up the possibility of parallel processing in the state estimation algorithms. They have analysed the computational aspects of parallel processing. Moreover, they have simulated this state estimator parallel algorithm in the IEEE 30, 57 and 118 bus systems. The numerical accuracy of the simulation demonstrates the excellent computational performance of the parallel algorithm. Results of computational experiments are compared with standard WLS methods, in the integral and distributed version. An evaluation of the degree of natural decoupling in the state estimation problem is also performed. The results of computational experiments indicate that distributed processing for state estimation, is a better way to adopt parallel computing in power systems