Optimization of Oscillating Floats and Predictive Control of Compressor Group Power in Wave Energy Direct-Drive Compressed Air Systems

Abstract

This study focuses on the systematic optimization design of Ocean Compressed Air Energy Storage (OCAES), addressing the dimensional design of buoy-absorbed input terminals and load control for compressor arrays. Undulating buoys harness wave energy, converting it into mechanical energy that directly propels liquid piston compressors for compressed air energy storage. The optimization process is tailored to the maritime domain, exemplified by the Qiongdongnan Basin in the South China Sea. Historical wave data within the region is analyzed, taking into account design criteria, to derive an optimal solution for buoy dimensions. Additionally, a neural network optimized through genetic algorithms is employed for precise prediction of compressor array loads under varying wave conditions, ensuring high robustness within the considered range of wave scenarios.

Keywords: WEC, OCAES, DOE, Ga-Bp, Compressor group