Banca de QUALIFICAÇÃO: LAYAN SOARES GOMES

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : LAYAN SOARES GOMES
DATA : 21/05/2019
HORA: 09:00
LOCAL: Sala de videoconferência do PoP/RN
TÍTULO:

SINGLE RESERVOIR OPERATION RULE: A FUZZY LOGIC APPROACH

PALAVRAS-CHAVES:

Reservoir operation. Simulation-optimization. Fuzzy logic. Genetic algorithm. Water resources.

PÁGINAS: 16
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Sanitária
RESUMO:

Good reservoir management requires the creation of a set of operational procedures, rules or plans that best meet a set of objectives. In general, the operation rules are logical or mathematical equations that take into account the variables of the system to calculate the release of water from a reservoir. The use of computational intelligence (CI) techniques, which cover fuzzy logic, evolutionary computation and artificial neural networks, has been fairly used to optimize various water resource problems, including reservoir operations. This research proposes to develop a simulation-optimization model of the isolated reservoirs operation with the goal to search the best hedging rule using fuzzy logic. For that, it will execute the operation optimization via genetic algorithm in order to minimize the volume of water deficit, associating it with the water balance simulation of the reservoir. The study area will be a reservoir inserted in the Brazilian semiarid, the Cruzeta reservoir. It is a region that presents significant interannual hydrological variability, which makes the water resources management complex, especially due to extreme climatic conditions. Therefore, it is expected that the model improves the performance indicators of the reservoir, since the optimization of the rationing rule implies a tendency to adjust the storage to the curves of the hedging rule. Therefore, the model is expected to improve reservoir’s performance indicators as the operation will indicate the need for anticipated water rationing in order to avoid future severe shortage events.

MEMBROS DA BANCA:
Presidente - 1759777 - ADELENA GONCALVES MAIA
Externo à Instituição - FABIO MENEGHETTI UGULINO DE ARAUJO - UFRN
Interna - 2190974 - JOANA DARC FREIRE DE MEDEIROS
Externo ao Programa - 2411669 - JONATHAN MOTA DA SILVA