Model Predictive Control of a Wave Energy Converter Using Duality Techniques
Abstract
In this paper, a method for implementing model predictive control for vibration energy harvesting systems with the goal of maximizing generated energy is presented. This is generally a nonconvex problem, which can be computationally expensive and converging to a global minimum cannot be guaranteed. We introduce a dualdomain method to relax the nonconvex primal problem into a convex dual optimization problem, which can be performed in real time. Based on previous work, we determine when the duality gap is zero and, by extension, whether the global optimal primal solution is found. We demonstrate the algorithm on a single, buoytype wave energy converter with energy storage constraints and power takeoff force constraints.
 Authors:

 University of Michigan
 National Renewable Energy Laboratory (NREL), Golden, CO (United States)
 Publication Date:
 Research Org.:
 National Renewable Energy Lab. (NREL), Golden, CO (United States)
 Sponsoring Org.:
 USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE4W)
 OSTI Identifier:
 1569435
 Report Number(s):
 NREL/CP500072819
 DOE Contract Number:
 AC3608GO28308
 Resource Type:
 Conference
 Resource Relation:
 Conference: Presented at the 2019 American Control Conference (ACC), 1012 July 2019, Philadelphia, Pennsylvania
 Country of Publication:
 United States
 Language:
 English
 Subject:
 16 TIDAL AND WAVE POWER; energy harvesting; power system control; predictive control; wave power generation
Citation Formats
Kody, Alyssa, Tom, Nathan M, and Scruggs, Jeffery. Model Predictive Control of a Wave Energy Converter Using Duality Techniques. United States: N. p., 2019.
Web.
Kody, Alyssa, Tom, Nathan M, & Scruggs, Jeffery. Model Predictive Control of a Wave Energy Converter Using Duality Techniques. United States.
Kody, Alyssa, Tom, Nathan M, and Scruggs, Jeffery. Thu .
"Model Predictive Control of a Wave Energy Converter Using Duality Techniques". United States.
@article{osti_1569435,
title = {Model Predictive Control of a Wave Energy Converter Using Duality Techniques},
author = {Kody, Alyssa and Tom, Nathan M and Scruggs, Jeffery},
abstractNote = {In this paper, a method for implementing model predictive control for vibration energy harvesting systems with the goal of maximizing generated energy is presented. This is generally a nonconvex problem, which can be computationally expensive and converging to a global minimum cannot be guaranteed. We introduce a dualdomain method to relax the nonconvex primal problem into a convex dual optimization problem, which can be performed in real time. Based on previous work, we determine when the duality gap is zero and, by extension, whether the global optimal primal solution is found. We demonstrate the algorithm on a single, buoytype wave energy converter with energy storage constraints and power takeoff force constraints.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}
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