PO-optimized cascaded FOIAN-PTD strategy for frequency control of wind-PV-thermal power system with energy storage systems

IF 5.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Alaa A. Mahmoud , Khairy Sayed , Amil Daraz , Yogendra Arya , Mohamed Khamies
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引用次数: 0

Abstract

In today’s evolving energy landscape, hybrid power systems integrating renewable and conventional sources are increasingly adopted to enhance sustainability. However, maintaining frequency stability remains a challenge due to the intermittent and unpredictable nature of renewable energy sources (RESs). This study presents a robust control strategy to enhance frequency regulation in a wind–solar–thermal hybrid grid using an advanced load frequency control (LFC) scheme. The proposed approach combines a novel fractional-order controller, termed fractional order integral accelerated with low-pass filter (N)-proportional tilt derivative (FOIAN-PTD), with coordinated capacitive energy storage (CES) and superconducting magnetic energy storage (SMES) systems. The FOIAN-PTD controller is fine tuned using the newly developed puma optimizer (PO), which outperforms existing algorithms such as GWO, ALO, AOA, ASO, QIO, and WOA in both convergence speed and control performance. Extensive simulations validate the superiority of the proposed method. The FOIAN-PTD controller achieves up to 89.3% improvement in overshoot and 88.9% in undershoot for frequency deviation in area-1 (Δf1), 90.7% and 84.3% improvement for area-2 (Δf2), and 95.1% and 90.6% improvement in tie-line power deviation (ΔPtie), respectively, when compared with traditional PID and recent FO controllers. Moreover, the CES integrated with FOIAN-PTD significantly outperforms SMES in dynamic response, further enhancing grid reliability under varying renewable penetration scenarios. Overall, this research provides a scalable and high-performance LFC framework for modern hybrid power grid, offering enhanced frequency stability and resilience.
带储能的风-光电-火电系统的po优化级联FOIAN-PTD频率控制策略
在当今不断发展的能源格局中,集成可再生能源和传统能源的混合动力系统越来越多地被采用,以提高可持续性。然而,由于可再生能源(RESs)的间歇性和不可预测性,保持频率稳定性仍然是一个挑战。本研究提出了一种鲁棒控制策略,利用先进的负荷频率控制(LFC)方案来增强风-太阳能-热混合电网的频率调节。该方法结合了一种新型分数阶控制器,称为分数阶积分加速与低通滤波器(N)-比例倾斜导数(FOIAN-PTD),协调电容储能(CES)和超导磁储能(SMES)系统。FOIAN-PTD控制器采用新开发的美洲豹优化器(PO)进行微调,在收敛速度和控制性能方面都优于现有的GWO、ALO、AOA、ASO、QIO和WOA算法。大量的仿真验证了该方法的优越性。与传统PID和最新的FO控制器相比,FOIAN-PTD控制器对1区频率偏差的超调改善89.3%,过调改善88.9% (Δf1),对2区频率偏差的超调改善90.7%,过调改善84.3% (Δf2),联络线功率偏差改善95.1%,过调改善90.6% (ΔPtie)。此外,集成了FOIAN-PTD的CES在动态响应方面明显优于sme,进一步提高了不同可再生能源渗透情景下的电网可靠性。总体而言,本研究为现代混合电网提供了一个可扩展和高性能的LFC框架,提供了增强的频率稳定性和弹性。
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来源期刊
Engineering Science and Technology-An International Journal-Jestech
Engineering Science and Technology-An International Journal-Jestech Materials Science-Electronic, Optical and Magnetic Materials
CiteScore
11.20
自引率
3.50%
发文量
153
审稿时长
22 days
期刊介绍: Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), a peer-reviewed quarterly engineering journal, publishes both theoretical and experimental high quality papers of permanent interest, not previously published in journals, in the field of engineering and applied science which aims to promote the theory and practice of technology and engineering. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology. The scope of JESTECH includes a wide spectrum of subjects including: -Electrical/Electronics and Computer Engineering (Biomedical Engineering and Instrumentation; Coding, Cryptography, and Information Protection; Communications, Networks, Mobile Computing and Distributed Systems; Compilers and Operating Systems; Computer Architecture, Parallel Processing, and Dependability; Computer Vision and Robotics; Control Theory; Electromagnetic Waves, Microwave Techniques and Antennas; Embedded Systems; Integrated Circuits, VLSI Design, Testing, and CAD; Microelectromechanical Systems; Microelectronics, and Electronic Devices and Circuits; Power, Energy and Energy Conversion Systems; Signal, Image, and Speech Processing) -Mechanical and Civil Engineering (Automotive Technologies; Biomechanics; Construction Materials; Design and Manufacturing; Dynamics and Control; Energy Generation, Utilization, Conversion, and Storage; Fluid Mechanics and Hydraulics; Heat and Mass Transfer; Micro-Nano Sciences; Renewable and Sustainable Energy Technologies; Robotics and Mechatronics; Solid Mechanics and Structure; Thermal Sciences) -Metallurgical and Materials Engineering (Advanced Materials Science; Biomaterials; Ceramic and Inorgnanic Materials; Electronic-Magnetic Materials; Energy and Environment; Materials Characterizastion; Metallurgy; Polymers and Nanocomposites)
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