Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters
Ilgiz Murzakhanov, Spyros Chatzivasileiadis

TL;DR
This paper introduces communication-free, model-free algorithms for loss minimization in distribution grids with high DER penetration, combining local control with limited centralized optimization to enhance efficiency and robustness.
Contribution
It proposes novel local control algorithms that operate without communication or prior network models, and integrates them with limited centralized optimization for improved grid management.
Findings
Algorithms reduce grid losses without prior network info
Hybrid methods outperform purely local control in simulations
Approaches are robust to communication failures
Abstract
Distribution grids are experiencing a massive penetration of fluctuating distributed energy resources (DERs). As a result, the real-time efficient and secure operation of distribution grids becomes a paramount problem. While installing smart sensors and enhancing communication infrastructure improves grid observability, it is computationally impossible for the distribution system operator (DSO) to optimize setpoints of millions of DER units. This paper proposes communication-free and model-free algorithms that can actively control converter-connected devices, and can operate either as stand-alone or in combination with centralized optimization algorithms. We address the problem of loss minimization in distribution grids, and we analytically prove that our proposed algorithms reduce the total grid losses without any prior information about the network, requiring no communication, and…
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Taxonomy
TopicsSmart Grid Energy Management · Optimal Power Flow Distribution · Microgrid Control and Optimization
