Improved fractional order control with virtual inertia provision methodology for electric vehicle batteries in modern multi-microgrid energy systems

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Wessam A. Hafez , Mokhtar Aly , Emad A. Mohamed , Nadia A. Nagem
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引用次数: 0

Abstract

Providing inertia in modern electrical power grids has become a highly demanding task to mitigate reduced power system inertia of renewable energy sources (RES) based power grids. To mitigate the reduced inertia-related problems and consequences, this paper presents improved FOCs for achieving load frequency control (LFC) and the virtual inertia control (VIC) provision of electric vehicles (EVs) lithium-ion batteries. The proposed method includes a twofold contribution using a new hybrid FOC method and an optimum control parameter design method. An innovative hybrid controller is proposed by merging the characteristics of FOPID and TID methods with a fractional filtering stage, leading to hybrid tilt plus FOC integrator-derivative terms. From the VIC side, the TID is proposed to provide a fast response to lithium-ion batteries of the already available EVs. Furthermore, a metaheuristic-based design method is proposed to simultaneously determine the best control parameters set and to facilitate the design procedures using the recently presented powerful growth optimization algorithm (GO). The two interconnected areas case study with high-RES penetration is suggested for testing and investigating the new proposed controller. The results include performance evaluations and comparisons at various expected model uncertainties, renewable energy intermittency, and parametric variations. For instance, the proposed VIC method has a minimized ISE after 28 iterations of 0.001 compared to 0.003 with conventional VIC, and 0.004 without VIC. Thence,the proposed controller achieves more accurate frequency tracking with reduced deviations and fluctuations and exhibits greater robustness compared to previous controllers used in all case studies.
现代多微网能源系统中电动汽车电池的改进分数阶虚拟惯性控制方法
在现代电网中提供惯性已成为一项要求很高的任务,以减轻基于可再生能源(RES)的电网的电力系统惯性。为了减少惯性相关的问题和后果,本文提出了改进的FOCs,用于实现电动汽车锂离子电池的负载频率控制(LFC)和虚拟惯性控制(VIC)。该方法包括一种新的混合FOC方法和一种最优控制参数设计方法的双重贡献。将FOPID和TID方法的特点与分数阶滤波相结合,提出了一种新颖的混合控制器,实现了倾斜和FOC积分导数项的混合控制。从VIC方面来看,TID被提议为现有电动汽车的锂离子电池提供快速响应。此外,提出了一种基于元启发式的设计方法,可以同时确定最佳控制参数集,并使用最近提出的强大的生长优化算法(GO)简化设计过程。提出了两个互连区域的高分辨率穿透案例研究,以测试和研究新提出的控制器。结果包括在各种预期模型不确定性、可再生能源间歇性和参数变化下的性能评估和比较。例如,与传统VIC方法的0.003和没有VIC方法的0.004相比,所提出的VIC方法在28次迭代后的ISE最小值为0.001。因此,与所有案例研究中使用的以前的控制器相比,所提议的控制器实现了更准确的频率跟踪,偏差和波动减少,并表现出更强的鲁棒性。
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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