Abstract
In today’s world non-conventional energy resources are being considered as powerful resources in the field of power generation. To optimize the resources required to generate the power is always be a challenging task. Many meta-heuristic algorithms have been applied for solving the complex optimization problems. Resource optimization is also a n-p hard problem. Whale optimization (WO) is newly developed meta-heuristic performed efficiently for solving complex engineering problems. In this paper WO is used as an optimization algorithm in order to optimize the value of excitation capacitance for rated voltage and rated current operation of self-excited induction generator. The simulation has been carried out on a 5.5 kw rating induction generator and the same has been used for the experimental validation. The results as obtained shows that WO outperformed as compared to other meta-heuristic
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