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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

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

Revista

Título: Sustainability

Vol. 12

Página Final: 3332

ISSN: 2071-1050

Editora: MDPI

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 25