PARALLEL DOMAIN‐DECOMPOSITION‐BASED DISTRIBUTED STATE ESTIMATION FOR LARGE‐SCALE POWER SYSTEMS

Continuous growth in electricity demand and complexity of the power systems brings up new challenges in online monitoring and state estimation of large‐scale power system. Therefore, power engineers are always exploring methods for fast and efficient solutions for these problems. Conventional methods to improve the cycle time for state estimation mainly include the following strategies: complexity reduction, hierarchical state estimation, distributed state estimation, and parallel state estimation. The main advantage of decomposition techniques is that they are suitable for parallel application on multiprocessors since independent subsystems can be solved simultaneously. For a particular problem a parallel (or near‐parallel) formulation needs to be found that is amenable to formulation as a parallel algorithm. The results of parallel distributed state estimation are compared with traditional centralized state estimation method.