Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems

TL;DR

This paper presents an improved distributed solution for AC optimal power flow in integrated transmission-distribution systems, emphasizing data privacy, robustness, and efficiency through an enhanced ALADIN method with theoretical guarantees.

Contribution

It introduces a novel distributed algorithm with second-order correction and convexification, offering quadratic convergence guarantees for integrated power systems.

Findings

Demonstrates faster convergence compared to existing methods

Shows improved computational efficiency and scalability

Validates robustness through extensive simulations

Abstract

This paper introduces a distributed operational solution for coordinating integrated transmission-distribution (ITD) systems regarding data privacy. To tackle the nonconvex challenges of AC optimal power flow (OPF) problems, our research proposes an enhanced version of the Augmented Lagrangian based Alternating Direction Inexact Newton method (ALADIN). This proposed framework incorporates a second-order correction strategy and convexification, thereby enhancing numerical robustness and computational efficiency. The theoretical studies demonstrate that the proposed distributed algorithm operates the ITD systems with a local quadratic convergence guarantee. Extensive simulations on various ITD configurations highlight the superior performance of our distributed approach in terms of convergence speed, computational efficiency, scalability, and adaptability.