多结构模型预测控制器下可再生-生物能源汽车集成多微电网的鲁棒频率镇定

A. Latif, Mohd Asim Aftab, S. M. Suhail Hussain
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引用次数: 0

摘要

微电网显示出显著的频率偏差$(\ δ F)$的变化,即使在连接的负载或天气依赖的能源,如太阳能,风能等的小扰动。因此,微电网的频率稳定需要二次负荷频率控制。针对多微电网,提出了一种将模型预测控制器(MPC)与倾斜导数相结合的多结构模型预测控制器(DSMPC)。一个多重微电网由风能和太阳能塔式发电单元组成,包括两个地区的生物发电和电动汽车(EV)。将所提控制器的性能与海洋捕食者技术优化后的DSMPC和MPC控制器进行了比较。进一步研究了在考虑实时风数据的情况下,电动汽车对稳定系统频率的影响。利用硬件在环(HIL)实时仿真平台验证了所提出的控制方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Frequency Stabilization of Renewable-Bio-Electric Vehicle Integrated Multi Microgrid under Diverse Structure Model Predictive Controller
The microgrid exhibits a notable change in the frequency deviation $(\Delta F)$ even for small perturbations in the connected load or weather dependent energy sources like solar, wind etc. Hence a secondary load frequency control is required for frequency stabilization in the microgrid. In this paper, a novel combination of model predictive controller (MPC) and tilt derivative called diverse structure model predictive controller (DSMPC) is proposed for multi microgrids. A multi microgrid is comprised of wind and solar tower power generation units, including bio generations and electric vehicle (EV) in both the areas. The performance of the proposed controller is compared against marine predator technique optimized DSMPC and MPC controls. Furthermore, the study investigates the impact EV in stabilizing the system frequency under the consideration of real-time wind data. A real-time hardware-in-the-loop (HIL) simulation platform is utilized to validate the proposed control approach.
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