ORCID
https://orcid.org/0000-0003-0622-5860
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.
Recommended Citation
Nyirenda, E. J. (2024). Optimization Pump as Turbine Coupled to a Self-Excited Induction Generator Using Multi-Objective Genetic Algorithm. Tanzania Journal of Engineering and Technology, 43(1), 133-143. https://doi.org/https://doi.org/10.52339/tjet.v43i1.909
Publisher Name
University of Dar es Salaam
Included in
Artificial Intelligence and Robotics Commons, Dynamics and Dynamical Systems Commons, Electro-Mechanical Systems Commons, Energy Systems Commons, Numerical Analysis and Computation Commons, Power and Energy Commons