Parameters estimation of hydraulic power take-off system for wave energy conversion system using genetic algorithm

Abstract

This paper presents accurate control parameters estimation of the hydraulic Power Take-Off (PTO) model for the wave energy conversion system to maximise energy production. In general, the performance of the hydraulic PTO system depends on the parameters setting of hydraulic PTO system components such as hydraulic motor displacement setting, pre-charge of the hydraulic accumulator, and et cetera. Conventionally, it requires to manually obtain the optimal parameters of a hydraulic PTO system by repeating the simulation process. However, this estimation method exposed to human error and would easily be resulting in a non-optimal selection of hydraulic PTO parameters for the wave energy conversion system. Therefore, an easy and accurate approach of using the GA optimisation method for determining hydraulic PTO parameters was introduced in the present study. This approach is simple and more accurate compared to the conventional optimisation method. The hydraulic PTO model was developed in SIEMENS/Amesim environment using available components in the library. The specifications of the actual hydraulic PTO system components from the manufacturer were used during the simulation set-up. The complete hydraulic PTO system was optimised using a special genetic algorithm (GA) optimisation tools in the SIEMENS/Amesim software. The simulation results showed that GA was effective to determine the optimal configuration parameters of hydraulic PTO system. From the results, the optimal configuration parameters of hydraulic PTO system were successfully reduced about 38%. Consequently, the maximum force applied to the WEC devices was reduced up to 34%. This force reduction is important since it will enable the WECS to be operated during a smaller wave condition.

A Parametric Study of Wave Energy Converter Layouts in Real Wave Models

“…Cooperative EAs [18] Design & PTOs fully-submerged 1 Hybrid EAs [29] Layout fully-submerged 50, 100 Multi-strategy EAs [30] Design & PTOs heaving WEC 1 Evolutionary and GA [19] PTOs oscillating wave surge converter 1 GA [20,31] Design sloped-motion WEC 1 Heuristic optimization [32] PTOs oscillating water column-based 1 Water cycle algorithm [33] PTOs hinged-type WECs 1 Experimental observations [34] PTOs oscillating wave surge converter 1 GA and ML [35] Layout The CETO6 is a fully-submerged point absorber wave energy converter that is manufactured, installed, and updated by Carnegie Clean Energy Ltd. The prospective location of the WECs array is off the coast of Albany due to its exposure to open ocean wave conditions [58].…”

A Review of Power Electronics for Nearshore Wave Energy Converter Applications

“…Nevertheless, research on WEC device development in Malaysia is still at an early stage. Several simulation models [22], [38], [82]- [86], [104], lab sized WEC devices [89], [105] and small scale prototype [88], [106], [107] are included in this study.…”

Parameter Identification of Motors by Cuckoo Search Using Steady-State Relations

“…The most used algorithm is the genetic algorithm. In studies such as [16], [17], it is used as a parametric estimator. In work [18] is used a metaheuristic algorithm as an estimator in an induction motor.…”