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Centralized Airflow Control to Reduce Output Power Variation in a Complex OWC Ocean Energy Network

Authors :
Sunil Kumar Mishra
Bhargav Appasani
Amitkumar Vidyakant Jha
Izaskun Garrido
Aitor J. Garrido
Source :
Complexity, Vol 2020 (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

A centralized airflow control scheme for a complex ocean energy network (OEN) is proposed in this paper to reduce the output power variation (OPV). The OEN is an integrated network of multiple oscillating water columns (OWCs) that are located at different geographical sites connected to a common electrical grid. The complexity of the OWC-OEN increases manifolds due to the integration of several OWCs and design of controllers become very challenging task. So, the centralized airflow control scheme is designed in two stages. In control stage-1, a proportional-integral- (PI-) type controller is designed to provide a common reference command to control stage-2. In control stage-2, the antiwindup PID controllers are implemented for the airflow control of all the OWCs simultaneously. In order to tune the large number of control parameters of this complex system, a fitness function based on integral squared error (ISE) is minimized using the widely adopted particle swarm optimization (PSO) technique. Next, the simulation results were obtained with random wave profiles created using the Joint North Sea Wave Project (JONSWAP) irregular wave model. The OPV of the proposed OWC-OEN was reduced significantly as compared to the individual OWC. It was further observed that the OPV of the proposed scheme was lower than that achieved with uncontrolled and MPPT controlled OWC-OEN. The effect of communication delay on the OPV of the proposed OWC-OEN scheme was also investigated with the proposed controller, which was found to be robust for a delay up to 100 ms.

Details

Language :
English
ISSN :
10762787 and 10990526
Volume :
2020
Database :
Directory of Open Access Journals
Journal :
Complexity
Publication Type :
Academic Journal
Accession number :
edsdoj.83ec477809a470f8f9f1d1b46a6b894
Document Type :
article
Full Text :
https://doi.org/10.1155/2020/2625301