Design and optimization investigation on hydraulic transmission and energy storage system for a floating-array-buoys wave energy converter

Abstract Reducing power fluctuations is essential for controlling the integration impacts of wave energy converter (WEC) plants in both distribution and transmission grids, and in stand-alone isolated power systems. This paper presents an analysis on the cost of and how a battery storage system can be used to further reduce the variation of power generated from the WEC due to the fluctuating nature of waves and its impact to the grid. The electrical power output from WEC-Sim simulations for the six sea states used in the Wave Energy Prize was analyzed to compute the peak power and power time history. The results were used to evaluate the battery storage capacity that is needed for a WEC system to provide reasonable power flow to the grid and estimate its cost based on the latest cost information for battery technologies published by the U.S. Energy Information Administration. Finally, a preliminary grid integration analysis was performed to demonstrate how WEC-generated power would contribute to a small island electricity system. As shown in the study, the instantaneous peak power is the primary cost driver for the battery storage and the power take-off system, and reducing the power fluctuations is essential for reducing the overall levelized cost of energy (LCOE). The power flow variation from WECs can be significantly reduced using battery storage without adding significant overall system costs, and the implementation of battery storage is essential for grid integration applications. There may also be additional opportunities to further investigate energy storage technologies that are specific to WEC applications to reduce these costs even further.

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Control Strategy for Power Smoothing Converter with Energy Storage for Maximum Power Controlled Wave Energy Converter

10.1109/icrera52334.2021.9598728 ◽

2021 ◽

Author(s):

Akihiro Masuda ◽

Hiroki Goto

Keyword(s):

Energy Storage ◽

Wave Energy ◽

Control Strategy ◽

Wave Energy Converter ◽

Maximum Power ◽

Energy Converter ◽

Power Smoothing

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Statistical Energy Storage Sizing for Point Absorber Wave Energy Converters (WECs): A Device for Operation off the U.S. East Coast

Volume 10: Ocean Renewable Energy ◽

10.1115/omae2018-77227 ◽

2018 ◽

Author(s):

Xiang Zhou ◽

Mehdi Jafari ◽

Ossama Abdelkhalik ◽

Umesh A. Korde ◽

Lucia Gauchia

Keyword(s):

Time Series ◽

Energy Storage ◽

Wave Energy ◽

Power Distribution ◽

Body Wave ◽

Storage System ◽

Ground Truth ◽

Energy Storage System ◽

Sensing Applications ◽

Extracted Power

This paper addresses the sizing problem of an energy storage system (ESS) while considering statistical tolerance for a two-body wave energy converter (WEC), which is designed to support ocean sensing applications with sustained power for long-term functioning. The power is extracted by assuming ideal power take-off (PTO) based upon historical ocean data record (significant wave height and period of wave swell) from Martha’s Vineyard Coastal Observatory. A gamma distribution is applied to generate the extracted power distribution of each sample in the time-series using Bayesian methodology. The means and standard deviation of the extracted power distributions compose the statistical annual power time-series. Finally, the required capacities for the ESS sizing are estimated and discussed while considering both ground truth values and statistical values.

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