Aggregator units allocation in low voltage distribution networks with penetration of photovoltaic systems

• Autor(a) principal: Palate, Byron O.
• Data de Publicação: 2021
• Outros Autores: Guedes, Tatiana P., Grilo-Pavani, Ahda, Padilha-Feltrin, Antonio [UNESP], Melo, Joel D.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1016/j.ijepes.2021.107003; http://hdl.handle.net/11449/210325
• topic: Power distribution system; Aggregator units; Smart grid; Photovoltaic system

The aggregator units are essential in implementing smart grids since they are responsible for connecting smart meters installed on the consumers and ensuring exchanging information with the utility control centers. This paper presents a methodology to allocate these aggregators in low voltage distribution systems with solar photovoltaic generation. The proposed method is composed of two stages. In the first one, the aggregators are allocated considering the minimization of the distance to the remote terminal unit and their installation costs using a method based on Particle Swarm Optimization. In the second stage, the smart meters are connected to each allocated aggregator using a graph method. These connections are performed, taking into account a function, which depends on the distance between the meters and the load density within the aggregator coverage area. The proposed methodology was tested using a 400 V low voltage distribution system with 45 residential loads and 12 photovoltaic generators. The results showed that the proposal allocates aggregators at points where the consumer groups? load curves into the aggregator coverage area are better characterized. The values of the average voltage profile and the system?s power losses in each aggregator coverage area presented an excellent match with values obtained with the test system without installing aggregators. From this characterization, it is possible to get useful information for operational planning and expansion planning of low voltage networks with photovoltaic generators by aggregation areas.