A Comparative Study of Metaheuristic Algorithms for Wave Energy Converter Power Take-Off Optimisation: A Case Study for Eastern Australia

Abstract

One of the most encouraging sorts of renewable energy is ocean wave energy. In spite of a large number of investigations in this field during the last decade, wave energy technologies are recognised as neither mature nor broadly commercialised compared to other renewable energy technologies. In this paper, we develop and optimise Power Take-off (PTO) configurations of a well-known wave energy converter (WEC) called a point absorber. This WEC is a fully submerged buoy with three tethers, which was proposed and developed by Carnegie Clean Energy Company in Australia. Optimising the WEC’s PTO parameters is a challenging engineering problem due to the high dimensionality and complexity of the search space. This research compares the performance of five state-of-the-art metaheuristics (including Covariance Matrix Adaptation Evolution Strategy, Gray Wolf optimiser, Harris Hawks optimisation, and Grasshopper Optimisation Algorithm) based on the real wave scenario in Sydney sea state. The experimental achievements show that the Multiverse optimisation (MVO) algorithm performs better than the other metaheuristics applied in this work.

Layout and design optimization of ocean wave energy converters: A scoping review of state-of-the-art canonical, hybrid, cooperative, and combinatorial optimization methods

“…Second, unanticipated changes in WEC's location aquaculture may impose unpredicted forces on the converter, increasing or decreasing its displacement, velocity, or acceleration (Babarit, 2017). In recent years there has been some research on the optimization of PTO settings or control strategies coefficients (Parrinello et al, 2020;Neshat et al, 2019a;Penalba et al, 2017b;Ringwood et al, 2018;Amini et al, 2021). In this regard, a variety of power take-off systems has been designed and optimized in the recent literature, as shown in Fig.…”

Exploring Wind Energy Potential as a Driver of Sustainable Development in the Southern Coasts of Iran: The Importance of Wind Speed Statistical Distribution Model

“…Iran has a population of 79.2 million and an area of 1,648,195 km 2 (about half of this area is habitable), and largely depends on fossil fuels such as crude oil in its energy sector [7]. Now, there is a considerable consumption of traditional energy resources in Iran because of the large amount of low-cost fossil fuels [8]. This exacerbated the misuse of energy in industrial, transportation, and home sectors resulting in various environmental problems [9].…”

Ocean Wave Energy Converters Optimization: A Comprehensive Review on Research Directions

“…Second, unanticipated changes in WEC's location aquaculture may impose unpredicted forces on the converter, increasing or decreasing its displacement, velocity, or acceleration [12]. In recent years there have been some research on optimization of PTO settings or control strategies coefficients [138,116,83,139,140]. In this regard, a variety of power take-off systems has been designed and optimized in the recent literature, as shown in figure 8.…”