Decentralized power system state estimation with reduced inter-area communication

Abstract

In this paper, we present a new algorithm for decentralized state estimation in multi-area power systems. The proposed method features significantly reduced communication between areas when compared to the existing gossip-based Gauss-Newton approach. We achieve this by confining gossip iterations associated with a specific state variable to only those areas which actually observe that state variable. This increases the speed of convergence of the gossip iterations, while reducing the amount of communication required for the gossip iterations to converge. We demonstrate the efficacy of our solution with simulations on the IEEE 118-bus system with different communication models.

Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication

“…We derive a solution to this problem based on distributed average consensus through network gossiping. Secondly, we present a detailed analytical treatment of the CGS information sharing approach introduced in [26]. We prove that it indeed achieves distributed average consensus.…”

“…Suppose Conditions C1 and C2 hold. If I CG , I S and I URE are given by ( 24), ( 25) and (26), respectively, then…”

“…Hence, the number of gossip iterations performed is larger than necessary, resulting in an undesirable increase in communication between areas. In [26] we outline an information exchange scheme for gossip-based Gauss-Newton which drastically reduces interarea communication.…”