skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: 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 dual-domain 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, buoy-type wave energy converter with energy storage constraints and power take-off force constraints.

Authors:
 [1]; ORCiD logo [2];  [1]
  1. University of Michigan
  2. 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 (EE-4W)
OSTI Identifier:
1569435
Report Number(s):
NREL/CP-5000-72819
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 American Control Conference (ACC), 10-12 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 dual-domain 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, buoy-type wave energy converter with energy storage constraints and power take-off force constraints.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: