Online Distribution System State Estimation via Stochastic Gradient Algorithm

TL;DR

This paper introduces an online stochastic gradient algorithm for real-time distribution system state estimation that effectively handles asynchronous measurements and is validated on realistic IEEE-123 bus data.

Contribution

It develops a novel online stochastic gradient method for real-time DSSE with asynchronous data, providing analytical guarantees and practical validation.

Findings

Algorithm achieves accurate state estimation in real-time.

Performance is analytically guaranteed.

Validated with realistic IEEE-123 bus data.

Abstract

Distribution network operation is becoming more challenging because of the growing integration of intermittent and volatile distributed energy resources (DERs). This motivates the development of new distribution system state estimation (DSSE) paradigms that can operate at fast timescale based on real-time data stream of asynchronous measurements enabled by modern information and communications technology. To solve the real-time DSSE with asynchronous measurements effectively and accurately, this paper formulates a weighted least squares DSSE problem and proposes an online stochastic gradient algorithm to solve it. The performance of the proposed scheme is analytically guaranteed and is numerically corroborated with realistic data on IEEE-123 bus feeder.