[HTML][HTML] Design and simulation of district heating networks: A review of modeling approaches and tools

S Kuntuarova, T Licklederer, T Huynh, D Zinsmeister… - Energy, 2024 - Elsevier
District heating (DH) systems have been identified as an important component in efforts to
mitigate greenhouse gas emissions and achieve climate targets in the near future. Software …

Microgrid stability definitions, analysis, and examples

M Farrokhabadi, CA Cañizares… - … on Power Systems, 2019 - ieeexplore.ieee.org
This document is a summary of a report prepared by the IEEE PES Task Force (TF) on
Microgrid Stability Definitions, Analysis, and Modeling, IEEE Power and Energy Society …

pandapower—an open-source python tool for convenient modeling, analysis, and optimization of electric power systems

L Thurner, A Scheidler, F Schäfer… - … on Power Systems, 2018 - ieeexplore.ieee.org
Pandapower is a Python-based BSD-licensed power system analysis tool aimed at
automation of static and quasi-static analysis and optimization of balanced power systems. It …

Simbench—a benchmark dataset of electric power systems to compare innovative solutions based on power flow analysis

S Meinecke, D Sarajlić, SR Drauz, A Klettke… - Energies, 2020 - mdpi.com
Publicly accessible, elaborated grid datasets, ie, benchmark grids, are well suited to publish
and compare methods or study results. Similarly, develo** innovative tools and algorithms …

Renewable Energy Communities: Optimal sizing and distribution grid impact of photo-voltaics and battery storage

T Weckesser, DF Dominković, EMV Blomgren… - Applied Energy, 2021 - Elsevier
In this paper, an extensive study of Renewable Energy Communities and their potential
impact on the electric distribution grid has been carried out. For that purpose, a Linear …

Analysis and mitigation of harmonic resonances in multi–parallel grid–connected inverters: A review

R Ali, T O'Donnell - Energies, 2022 - mdpi.com
With the move towards decarbonization of the energy system and increased use of
renewable generation, the number of power electronics converter interfaced resources …

Data-driven local control design for active distribution grids using off-line optimal power flow and machine learning techniques

S Karagiannopoulos, P Aristidou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The optimal control of distribution networks often requires monitoring and communication
infrastructure, either centralized or distributed. However, most of the current distribution …

[HTML][HTML] Microgrid energy management using deep Q-network reinforcement learning

MH Alabdullah, MA Abido - Alexandria Engineering Journal, 2022 - Elsevier
This paper proposes a deep reinforcement learning-based approach to optimally manage
the different energy resources within a microgrid. The proposed methodology considers the …

Stochastic-predictive energy management system for isolated microgrids

DE Olivares, JD Lara, CA Cañizares… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper presents the mathematical formulation and control architecture of a stochastic-
predictive energy management system for isolated microgrids. The proposed strategy …

Optimization-and rule-based energy management systems at the Canadian renewable energy laboratory microgrid facility

M Restrepo, CA Cañizares, JW Simpson-Porco, P Su… - Applied Energy, 2021 - Elsevier
This paper presents the development, implementation, and commissioning of two different
Energy Management Systems (EMSs) for the Canadian Renewable Energy Laboratory …