[HTML][HTML] Design and simulation of district heating networks: A review of modeling approaches and tools
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 …
mitigate greenhouse gas emissions and achieve climate targets in the near future. Software …
Microgrid stability definitions, analysis, and examples
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 …
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 …
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 …
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
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 …
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 …
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
The optimal control of distribution networks often requires monitoring and communication
infrastructure, either centralized or distributed. However, most of the current distribution …
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 …
the different energy resources within a microgrid. The proposed methodology considers the …
Stochastic-predictive energy management system for isolated microgrids
This paper presents the mathematical formulation and control architecture of a stochastic-
predictive energy management system for isolated microgrids. The proposed strategy …
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
This paper presents the development, implementation, and commissioning of two different
Energy Management Systems (EMSs) for the Canadian Renewable Energy Laboratory …
Energy Management Systems (EMSs) for the Canadian Renewable Energy Laboratory …