A Control Architecture for Energy Management and Battery Integration in a Stand-Alone Heaving Wave Energy Converter

Journal Article (2026)
Author(s)

Abdin Yousif Elamin (United Arab Emirates University)

Tuanku Badzlin Hashfi (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Omsalama M. Mohamed (United Arab Emirates University)

Addy Wahyudie (United Arab Emirates University)

Adha Imam Cahyadi (Universitas Gadjah Mada)

Mohamed Abdi Jama (Abu Dhabi University)

Mohammad Shakeel Laghari (United Arab Emirates University)

Ruhul Amin Khalil (United Arab Emirates University)

Saad Mekhilef (Swinburne University of Technology)

Ahmed Abdrabou (United Arab Emirates University)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1109/ACCESS.2026.3686360 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Intelligent Electrical Power Grids
Journal title
IEEE Access
Volume number
14
Pages (from-to)
62618-62641
Downloads counter
6
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Abstract

This paper presents an integrated control framework for a stand-alone wave energy converter (WEC) system equipped with battery storage and load-side regulation. The core of the proposed system is a supervisory energy management system (EMS) that adaptively governs the operation by transitioning between reactive control, damping control, and power-shedding modes in response to wave conditions and the battery’s state of charge (SoC). To ensure efficient energy harvesting, a variable step-size maximum power point tracking (MPPT) algorithm is employed to dynamically tune the damping and stiffness coefficients of the power take-off (PTO) mechanism. The EMS operates alongside a battery-side controller responsible for regulating the DC bus voltage through controlled charging and discharging, thereby ensuring voltage stability under fluctuating sea states and load variations. A load-side controller guarantees balanced three-phase AC power delivery, maintaining sinusoidal voltage and current profiles during dynamic load conditions. The proposed control system is validated through detailed MATLAB/Simulink simulations and hardware-in-the-loop (HIL) experiments. The findings demonstrates the EMS’s ability to manage power flow efficiently and maintaining safe SoC levels under high-energy conditions, while performing load disconnection during low-energy periods to prevent battery depletion. Both simulation and experimental outcomes demonstrate reliable voltage regulation, coordinated control mode switching, and effective system response to variable sea states and load demands.