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).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kothari DP, Nagrath IJ, Saket RK (2021) Modern power system analysis. Tata McGraw-Hill Education, New Delhi, India
Burman K, Walker A (2009) Ocean energy technology overview. Prepared for the U.S. Department of Energy—Office of Energy Efficiency and Renewable Energy—Federal Energy Management Program
International Energy Agency (2010) World energy outlook
Previsic M, Bedard R, Hagerman G (2004) Offshore wave energy conversion devices. Electric Power Research Institute (EPRI) Report no. WP 004 US, Palo Alto (CA, USA)
Clemente (2002) Wave energy in Europe: current status and perspectives
Aderinto T, Li H (2019) Review on power performance and efficiency of wave energy converters. Energies 12(22):4329
Falcao AFO (2010) Wave energy utilization: a review of the technologies. Renew Sustain Energy Rev 14:899–918
Dorrell DG, Halliday JR, Miller P, Findlater M (2004) Review of wave energy resource and oscillating water column modelling. In: 39th International universities power engineering conference. UPEC 2004, vol 1, pp 649–653
Brooke J (2004) Wave energy conversion. Elsevier, Amsterdam (Netherland)
Attia MA, Hasanien HM, Abdelaziz AY (2016) Performance enhancement of power systems with wave energy using gravitational search algorithm based TCSC devices. Eng Sci Technol Int J 19(4):1661–1667
Falcão AFO (2010) Wave energy utilization: a review of the technologies. Renew Sustain Energy Rev 14(3):899–918
Bønke K (1996) Prototype wave power stations in Norway. In: Proceedings of ınternational symposium on utilization of Ocean waves, In: McCormick, pp 34–45
Cleveland CJ, Ayres RU (eds) (2004) Encyclopedia of energy. Elsevier Academic Press, Amsterdam (Netherland)
Qiao D, Haider R, Yan J, Ning D, Li B (2020) Review of wave energy converter and design of mooring system. Sustainability 12(19):8251
Falnes J (2002) Ocean waves and oscillating systems. Cambridge Univ. Press, Cambridge, U.K.
Duckers L (2004) “Wave energy”, in renewable energy: power for a sustainable future. Oxford University Press, Oxford
Yu HF, Zhang YL, Zheng SM (2016) Numerical study on the performance of a wave energy converter with three hinged bodies. Renew Energy 99:1276–1286
Faizal M, Ahmed MR, Lee YH (2014) A design outline for floating point absorber wave energy converter. Adv Mech Eng 6:1–18
Ohneda H, Shinbo O, Sekihara S, Suzuki K, Kubota H et al (1991) Construction procedure of a wave power extracting caisson breakwater. In: Proceedings of 3rd symposium on ocean energy utilization, pp 171–179
Falcão AFO (2000) The shoreline OWC wave power plant at the azores. In: Proceedings of 4th European wave energy conference, Aalborg, Denmark
Bozzetto A (2013) Modeling, control and performance assessment of a wave energy converter equipped with an all-electric power take-off. In: Bianchi N, Tedeschi E (eds) Master thesis in electrical engineering, Università degli studidi Padova, NTNU
Kasem AM, Besheer AH, Abdelaziz AY (2015) A linear quadratic gaussian approach for power transfer maximization of a point absorber wave energy converter. Electr Power Compon Syst 43(8–10):1178–1186
Kasem AM, Abdelaziz AY (2014) Functional predictive control for voltage stability ımprovements of autonomous hybrid wind–diesel power system. Electr Power Compon Syst 42(8):831–844
Yadav P, Kumar R, Panda S, Chang C (2012) An intelligent tuned harmony search algorithm for optimization. Inf Sci 196:47–72
Abdelaziz AY, Osama RA, El-Khodary SM (2013) Distribution systems reconfiguration using ant colony optimization and harmony search algorithms. Electr Power Compon Syst 41(5):537–554
Rao RV, Savsani VJ, Vakharia DP (2011) Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 183(1):303–315
Mosaad AM, Attia MA, Abdelaziz AY (2019) Whale optimization algorithm to tune PID and PIDA controllers on AVR system. Ain Shams Eng J 10(4):755–767
Faramarzi A, Heidarinejad M, Stephens B, Mirjalili S (2020) Equilibrium optimizer: A novel optimization algorithm. Knowl-Based Syst 191:105190
Shaheen AM, Elsayed AM, El-Sehiemy RA, Abdelaziz AY (2021) Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems. Appl Soft Comput J 98:106867
Bharti OP, Saket RK, Nagar SK (2017) Controller design for DFIG based wind turbine by using evolutionary soft computational techniques. Eng Technol Appl Sci Res Greece 7(3):1732–1736
Bharti OP, Saket RK, Nagar SK (2016) Controller design for DFIG driven by variable speed wind turbine using static output feedback technique. Eng Technol Appl Sci Res Greece 6(4):1056–1061
Bharti OP, Saket RK, Nagar SK (2017) Controller design for doubly fed ınduction generator using particle swarm optimization technique. Renew Energy Int J Elsevier 114 Part: B:1394–1406
Bharti OP, Sarita K, Vardhan ASS, Vardhan ASS, Saket RK (2021) Controller design for DFIG-based WT using gravitational search algorithm for wind power generation. IET Renew Power Gener (UK), Early access
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-16-7330-6_62
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7329-0
Online ISBN: 978-981-16-7330-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)