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Maximizing the Output Power of Wave Energy Conversion System by Using Model Predictive Controller Based on Equilibrium Optimizer

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Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems

Abstract

Nowadays, renewable energy becomes an important source due to its reliability and cleanliness. Thus, the using of wave energy is growing every year. The good choice and proper design of wave energy converter will lead us to generate a huge amount of energy. Thus, the objective of this research is the optimization of the wave energy converter system controller gains to get the maximum power from the sea waves. Three optimization techniques are used in this paper to extract maximum power from sea waves. Three controllers are proposed and tuned by these optimization techniques. The model used for this research is implemented by using MATLAB/Simulink software. The results show that the optimization of controller gains can increase the output power of wave energy. Moreover, the results proved superiority of the equilibrium optimizer (EO) than harmony search algorithm (HS) and teaching learned-based optimization (TLBO). The results also show the superiority of model predictive controller (MPC) than proportional–integral–derivative controller (PID controller) and linear quadratic regulator controller (LQR controller).

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Correspondence to R. K. Saket .

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Saber, O.M. et al. (2022). Maximizing the Output Power of Wave Energy Conversion System by Using Model Predictive Controller Based on Equilibrium Optimizer. In: Pandian, A.P., Palanisamy, R., Narayanan, M., Senjyu, T. (eds) Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_62

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