Shaheen Mohamed A M, Hasanien Hany M, Mekhamer S F, Talaat Hossam E A
Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo, 11517, Egypt.
Electrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, Cairo, 11835, Egypt.
Sci Rep. 2024 Jul 31;14(1):17636. doi: 10.1038/s41598-024-67581-x.
Offshore wind farms (OWFs) play a crucial role in producing renewable energy in modern electrical power systems. However, to ensure that these facilities operate smoothly, they require robust control systems. As a result, this paper employed the newly developed Walrus Optimization algorithm (WaOA) to optimize the design parameters of fractional-order proportional-integral-derivative (FOPID) controllers in the power electronic interface circuits of the studied wind energy conversion system (WECS). In contrast to conventional optimization techniques like GA and PSO, the suggested approach proves more effective. The paper validates the WaOA application in optimizing FOPID controllers within a WECS comprising two, onshore and offshore, VSC stations at the two ends of an HVDC transmission system connecting OWFs to the mainland. The study shows that the WaOA outperforms GA and PSO, improving system stability and enabling quick recovery after disturbances. The study carried out using MATLAB/Simulink highlights the significance of newly recently introduced optimization techniques to ensure efficient and reliable operation of offshore wind energy systems, thereby expediting the transition to sustainable energy sources.
海上风电场（OWFs）在现代电力系统中生产可再生能源方面发挥着关键作用。然而，为确保这些设施平稳运行，它们需要强大的控制系统。因此，本文采用新开发的海象优化算法（WaOA）来优化所研究的风能转换系统（WECS）电力电子接口电路中的分数阶比例积分微分（FOPID）控制器的设计参数。与遗传算法（GA）和粒子群优化算法（PSO）等传统优化技术相比，所提出的方法被证明更有效。本文验证了WaOA在优化一个WECS中的FOPID控制器方面的应用，该WECS在连接OWFs与大陆的高压直流输电系统两端包括两个陆上和海上电压源换流器（VSC）站。研究表明，WaOA优于GA和PSO，提高了系统稳定性，并能在干扰后实现快速恢复。使用MATLAB/Simulink进行的研究突出了新引入的优化技术对于确保海上风能系统高效可靠运行的重要性，从而加快向可持续能源的过渡。
