Gravitational search algorithm-based optimal control of archimedes wave swing-based wave energy conversion system supplying a DC microgrid under uncertain dynamics

• Published in: IET renewable power generation Vol. 11; no. 6; pp. 763 - 770
• Main Author: Hasanien, Hany M
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 10.05.2017
• Subjects: archimedes wave swing‐based wave energy conversion system; DC fault condition; DC microgrid; DC microgrid load disturbance; DC–DC converter; distributed power generation; generator side converter; genetic algorithm; genetic algorithms; gravitational search algorithm; gravitational search algorithm‐based optimal control; optimal control; PI control; power convertors; power generation control; proportional–integral controllers; PSCAD/EMTDC program; Research Article; search problems; simulation‐based optimisation approach; squared error criteria; uncertain dynamics; wave energy conversion system; WEC system; power convertors; PI control; archimedes wave swing-based wave energy conversion system; WEC system; power generation control; optimal control; distributed power generation; genetic algorithms; squared error criteria; uncertain dynamics; proportional–integral controllers; gravitational search algorithm-based optimal control; DC–DC converter; DC fault condition; genetic algorithm; PSCAD/EMTDC program; simulation-based optimisation approach; gravitational search algorithm; DC microgrid load disturbance; DC microgrid; generator side converter; search problems; wave energy conversion system
• ISSN: 1752-1416; 1752-1424; 1752-1424
• DOI: 10.1049/iet-rpg.2016.0677

This study presents a novel application of the gravitational search algorithm (GSA) to optimally control a wave energy conversion (WEC) system under different operating conditions. In the WEC system, the generator side converter controls the d-axis and q-axis current of the generator for minimising the generator power losses and extracting the maximum real power from the WEC system, respectively. The DC–DC converter is implemented to maintain the terminal voltage of the DC microgrid. The control of both converters relies on the proportional–integral controllers, which are optimally designed by the GSA through a simulation-based optimisation approach. In that manner, the integral of squared error criteria is used as an objective function. The validity of the WEC system model is verified by comparing its simulation results with the experimental results that extracted from a field test. The effectiveness of the proposed controller is tested when the system is subjected to different operating conditions such as a DC microgrid load disturbance, a temporary DC fault condition, and an irregular wave condition. Moreover, the effectiveness of the proposed controller is compared with that by using the genetic algorithm. The simulation results of the system are extensively carried out using PSCAD/EMTDC program.