Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Stefanos Petridis"'
Publikováno v:
Sensors, Vol 22, Iss 23, p 9457 (2022)
The usual operation of a microgrid (MG) may often be challenged by emergencies related to extreme weather conditions and technical issues. As a result, the operator often needs to adapt the MG’s management by either: (i) excluding disconnected comp
Externí odkaz:
https://doaj.org/article/6da3e0d17dc74068ba4bacca9fb02fbe
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11073 (2022)
The modern energy requirements and the orientation towards Renewable Energy Sources (RES) integration promote the transition of distribution grids from passive, unidirectional, fossil fuel-based into active, bidirectional, environmental-friendly arch
Externí odkaz:
https://doaj.org/article/a06a47e5348446b4858adda20444a671
Autor:
Maria C. Fotopoulou, Panagiotis Drosatos, Stefanos Petridis, Dimitrios Rakopoulos, Fotis Stergiopoulos, Nikolaos Nikolopoulos
Publikováno v:
Energies, Vol 14, Iss 12, p 3369 (2021)
This paper introduces a Model Predictive Control (MPC) strategy for the optimal energy management of a district whose buildings are equipped with vertically placed Building Integrated Photovoltaic (BIPV) systems and Battery Energy Storage Systems (BE
Externí odkaz:
https://doaj.org/article/f6c2f3d1e2e143dc83303f44ff86f6d1
Autor:
Stefanos Petridis, Orestis Blanas, Dimitrios Rakopoulos, Fotis Stergiopoulos, Nikos Nikolopoulos, Spyros Voutetakis
Publikováno v:
Energies, Vol 14, Iss 4, p 897 (2021)
The increase of distributed energy resources (DERs) in low voltage (LV) distribution networks requires the ability to perform an accurate power flow analysis (PFA) in unbalanced systems. The characteristics of a well performing power flow algorithm a
Externí odkaz:
https://doaj.org/article/6c347081783f42a3aae6b4d8c9d427d1
Publikováno v:
2022 International Conference on Smart Energy Systems and Technologies (SEST)
This research paper proposes an advanced method for Power Flow Analysis (PFA) in unbalanced distribution networks considering high Renewable Energy Sources (RES) penetration with special attention to technical and environmental Key Performance Indica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00e14e83a6d6540c2af92959977d3067
https://doi.org/10.36227/techrxiv.21400500.v1
https://doi.org/10.36227/techrxiv.21400500.v1
Publikováno v:
Sensors; Volume 22; Issue 23; Pages: 9457
The usual operation of a microgrid (MG) may often be challenged by emergencies related to extreme weather conditions and technical issues. As a result, the operator often needs to adapt the MG’s management by either: (i) excluding disconnected comp
Autor:
Dimitrios C. Rakopoulos, Maria Fotopoulou, Panagiotis Drosatos, Stefanos Petridis, Fotis Stergiopoulos, Nikolaos Nikolopoulos
Publikováno v:
Energies, Vol 14, Iss 3369, p 3369 (2021)
Energies; Volume 14; Issue 12; Pages: 3369
Energies; Volume 14; Issue 12; Pages: 3369
This paper introduces a Model Predictive Control (MPC) strategy for the optimal energy management of a district whose buildings are equipped with vertically placed Building Integrated Photovoltaic (BIPV) systems and Battery Energy Storage Systems (BE
Autor:
Orestis Blanas, Dimitrios C. Rakopoulos, Spyros Voutetakis, Stefanos Petridis, Fotis Stergiopoulos, Nikos Nikolopoulos
Publikováno v:
Energies, Vol 14, Iss 897, p 897 (2021)
Energies
Energies; Volume 14; Issue 4; Pages: 897
Energies
Energies; Volume 14; Issue 4; Pages: 897
The increase of distributed energy resources (DERs) in low voltage (LV) distribution networks requires the ability to perform an accurate power flow analysis (PFA) in unbalanced systems. The characteristics of a well performing power flow algorithm a
Autor:
Stefanos Petridis, Evgenii Genov, Thierry Clement Coosemans, Luis Ramirez Camargo, Maarten Messagie, Nikos Nikopoulos, Petros Iliadis
Publikováno v:
Journal of Physics: Conference Series
A reliable and accurate load forecasting method is key to successful energy management of smart grids. Due to the non-linear relations in data generating process and data availability issues, load forecasting remains a challenging task. Here, we inve