Effectiveness of Distributed vs. Concentrated Volt/Var Local Control Strategies in Low-Voltage Grids

Voltage and Frequency Droop Control in Low Voltage Grids by Distributed Generators with Inverter Front-end

In recent years, an ongoing increase of grid-connected distributed and renewable electricity generation technologies is clearly noticeable. From an environmental perspective, the increase of renewable technologies is highly desirable, as they do not emit greenhouse gasses and thus not contribute to climate change. Nevertheless, their increase poses increasing challenges on the reliable operatio...

Optimal Placement and Sizing of Distributed Battery Storage in Low Voltage Grids for Receding Horizon Control Strategies

In this paper we present a novel methodology for leveraging Receding Horizon Control (RHC), also known as Model Predictive Control (MPC) strategies for distributed battery storage in a planning problem using a Benders decomposition technique. Longer prediction horizons lead to better storage placement strategies but also higher computational complexity that can quickly become computationally pr...

Active Low Voltage Grids

Control Strategies for Smart Low Voltage Grids – the Project Dg Demonet – Smart Lv Grid

Upcoming challenges for LV grids include a high penetration of distributed energy resources and electric vehicles. The project “DG DemoNet – Smart LV Grid” aims to enable an efficient and cost effective use of existing grid infrastructures based on a three-step concept: intelligent planning, on-line monitoring and active LV grid management. Communication-based systems for automatic control conc...

Local vs distributed: a poor taxonomy of neural coding strategies

Page (2000a) is to be congratulated for challenging some misconceptions about neural representation. However, his target article, and the commentaries to it, highlight that the terms ‘local’ and ‘distributed’ are open to misinterpretation. These terms provide a poor description of neural coding strategies and a better taxonomy might resolve some of the issues. Consider a neural network in which...