JuliaGrid: An Open-Source Julia-Based Framework for Power System State Estimation

TL;DR

JuliaGrid is an open-source Julia framework that efficiently performs large-scale power system state estimation and analysis, integrating various algorithms and validated on systems with up to 70,000 buses.

Contribution

It introduces JuliaGrid, a high-performance, multi-platform power system analysis framework with advanced state estimation and optimization capabilities, optimized for large-scale systems.

Findings

Achieves competitive performance on large systems with up to 70,000 buses.

Successfully integrates multiple power system analysis algorithms.

Demonstrates efficiency and scalability in quasi-steady-state analysis.

Abstract

Modern electric power systems have an increasingly complex structure due to rise in power demand and integration of diverse energy sources. Monitoring these large-scale systems, which relies on efficient state estimation, represents a challenging computational task and requires efficient simulation tools for power system steady-state analyses. Motivated by this observation, we propose JuliaGrid, an open-source framework written in the Julia programming language, designed for high performance execution across multiple platforms. The framework implements observability analysis, weighted least-squares and least-absolute value estimators, bad data analysis, and various algorithms related to phasor measurements. To complete power system analysis, the framework includes power flow and optimal power flow, enabling measurement generation for the state estimation routines. Leveraging computationally efficient algorithms, JuliaGrid solves large-scale systems across all methods, offering competitive performance compared to other open-source tools. It is specifically designed for quasi-steady-state analysis, with automatic detection and reuse of computed data to boost performance. These capabilities are validated on systems with 10000, 20000 and 70000 buses.