Banca de QUALIFICAÇÃO: CRISTOERCIO ANDRÉ DA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : CRISTOERCIO ANDRÉ DA SILVA
DATE: 18/07/2023
TIME: 10:00
LOCAL: [REMOTO]: meet.google.com/rdi-yjxq-heh
TITLE:

VNS ALGORITHM FOR OPTIMIZED ALLOCATION OF WIRELESS SMART CONCENTRATORS IN LOW VOLTAGE ELECTRIC NETWORKS

PAGES: 63
BIG AREA: Outra
AREA: Multidisciplinar
SUMMARY:

With the advances in sustainable technologies and the need to modernize distribution networks, electric utilities are installing wireless smart concentrators (CISF) along low-voltage electrical grids. These concentrators communicate with the end customers' wireless smart meters (MISF) in order to have a database to assist in energy billing and to define new market structures. In extensive distribution networks the installation of concentrators becomes a problem for planners, because they can generate very high installation costs. To solve this problem, the literature shows the application of some computational intelligence techniques to conduct studies of optimized allocation of wireless smart concentrators in distribution networks. However, in extensive low voltage networks there may be several signal propagation environments, which could make it difficult for the CISF to communicate with the MISF. In this paper, we use a computational intelligence algorithm based on the Variable neighborhood Search (VNS) technique for the optimal allocation of wireless smart concentrators in extensive low-voltage distribution networks in urban centers. This algorithm seeks the minimum value for investment in the installation of wireless concentrators in extensive low-voltage networks, ensuring the communication coverage of all MISF.  Thus, the propagation environment of the communication signal between the smart meters and the types of concentrators within a given area is taken into account from the propagation coefficient. In this context, the proposed algorithm was applied to a low voltage network in Denmark, consisting of 15 nodes and 45 consumers, using wireless smart concentrators based on ZigBee technology. To evaluate the effectiveness of the algorithm, a histogram was prepared to represent the frequency of repetitions of the best result, which will be presented in future sections. With an achieved success rate of 80%, the proposed algorithm demonstrated superior performance in optimally allocating smart wireless hubs. These results have a great potential to assist planners of low voltage electrical grids in identifying the best installation locations for CISFs, ensuring adequate coverage for smart meters in urban areas with high infrastructure.

COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 2286312 - JOEL DAVID MELO TRUJILLO
Membro Titular - Examinador(a) Interno ao Programa - 1671333 - EDMARCIO ANTONIO BELATI
Membro Titular - Examinador(a) Externo ao Programa - 1762419 - CARLOS EDUARDO CAPOVILLA
Membro Suplente - Examinador(a) Interno ao Programa - 1669195 - AHDA PIONKOSKI GRILO PAVANI
Membro Suplente - Examinador(a) Externo ao Programa - 1205456 - LUIZ ALBERTO LUZ DE ALMEIDA