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

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Kotsalos, K (Author) Other; Miranda, I (Author) Other; Luis Dominguez Garcia, JL (Author) Other; Helder Leite (Author) FEUP; Silva, N (Author) Other; Hatziargyriou, N (Author) Other

Journal

Title: Sustainability

Vol. 12

Final page: 3332

ISSN: 2071-1050

Publisher: MDPI

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-00S-2SZ

DOI: 10.3390/su12083332

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 25