Exploiting OLTC and BESS Operation Coordinated with Active Network Management in LV Networks

Konstantinos Kotsalos, Ismael Miranda, Jose Luis Dominguez-Garcia, Helder Leite, Nuno Silva and Nikos Hatziargyriou
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Konstantinos Kotsalos: Faculty of Engineering (FEUP), University of Porto, 4200-465 Porto, Portugal
Ismael Miranda: Efacec, Division of Storage, 4471-907 Porto, Portugal
Jose Luis Dominguez-Garcia: Electrical Power Systems Area, Catalonia Institute for Energy Research (IREC), 08930 Barcelona, Spain
Helder Leite: Faculty of Engineering (FEUP), University of Porto, 4200-465 Porto, Portugal
Nuno Silva: Efacec, Division of T&I, 4466-952 Porto, Portugal
Nikos Hatziargyriou: School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), 15780 Zografou, Greece

Sustainability, 2020, vol. 12, issue 8, 1-25

Abstract: The large number of small scale Distributed Energy Resources (DER) such as Electric Vehicles (EVs), rooftop photovoltaic installations and Battery Energy Storage Systems (BESS), installed along distribution networks, poses several challenges related to power quality, efficiency, and reliability. Concurrently, the connection of DER may provide substantial flexibility to the operation of distribution grids and market players such as aggregators. This paper proposes an optimization framework for the energy management and scheduling of operation for Low Voltage (LV) networks assuring both admissible voltage magnitudes and minimized line congestion and voltage unbalances. The proposed tool allows the utilization and coordination of On-Load Tap Changer (OLTC) distribution transformers, BESS, and flexibilities provided by DER. The methodology is framed with a multi-objective three phase unbalanced multi-period AC Optimal Power Flow (MACOPF) solved as a nonlinear optimization problem. The performance of the resulting control scheme is validated on a LV distribution network through multiple case scenarios with high microgeneration and EV integration. The usefulness of the proposed scheme is additionally demonstrated by deriving the most efficient placement and sizing BESS solution based on yearly synthetic load and generation data-set. A techno-economical analysis is also conducted to identify optimal coordination among assets and DER for several objectives.

Keywords: low voltage networks; multi-period optimal power flow; multi-temporal optimal power flow; active distribution networks; unbalanced networks (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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