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Jul 3, 2024Keywords:
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Main Article Content
Optimization Pump as Turbine Coupled to a Self-Excited Induction Generator Using Multi-Objective Genetic Algorithm
Abstract
As a way of accelerating the deployment of affordable and clean
renewable energy generation technologies, applying a pump working
as a turbine coupled to a self-excited induction generator is gaining
popularity in various areas including energy recovery and micro hydro
systems. However, it is currently challenging to predict the
performance of the PAT-SEIG system and there is no agreed-upon rule
on the selection of the appropriate system to be installed at a particular
site. This paper has presented multi-objective optimization to select the
best operating point of the PAT-SEIG system. The results show that the
peak efficiencies for the PAT fall between 39.9% and 40.08% and for
SEIG they fall between 69.78% and 69.84% and are not coincident.
Thus, when selecting the operating point, a trade off on one element is
necessary. Gamultobj optimization outputs the Pareto solutions and
FMINCON locates the BEP within the Pareto solutions.
