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A model-less approach for the optimal coordination of renewable energy sources and DC links in low-voltage distribution networks.

Authors :
Rodríguez del Nozal, Álvaro
Barragán-Villarejo, Manuel
García-López, Francisco de Paula
Dobric, Goran
Mauricio, Juan Manuel
Maza-Ortega, José María
Stefanov, Predrag
Source :
Electric Power Systems Research. Sep2024, Vol. 234, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

This paper presents a model-less centralized control approach for coordinating Renewable Energy Sources and multiterminal DC links in low-voltage distribution networks. The controller is based on the Online Feedback Optimization technique which is adequate for this part of the power system, characterized by a lack of precise model and real-time information. The paper includes the complete mathematical formulation of the optimization problem and its solution applying the presented strategy. The performance of the proposed centralized controller is evaluated through simulations in the European LV distribution network proposed by the CIGRE Task Force C06.04.02. The results show the benefits that DC links may bring to LV networks due to the release of their radial operation. In particular, the proposed strategy achieves a 7.4 % daily energy loss reduction with respect to the base case. The centralized controller, which operates without a detailed network model and reduced real-time information, enables the use of this technology in LV networks which maximizes the penetration of renewable energy sources. • Optimal RES and DC links operation in LV networks without precise network information. • The proposed method reduces the RES curtailment while minimizing the system losses. • The method is able to managing any controllable resource regardless of their type. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787796
Volume :
234
Database :
Academic Search Index
Journal :
Electric Power Systems Research
Publication Type :
Academic Journal
Accession number :
178535641
Full Text :
https://doi.org/10.1016/j.epsr.2024.110770