基于优化模糊自适应虚拟惯性控制的频率调节,适用于可再生能源渗透率可变的微电网

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS Journal of energy storage Pub Date : 2024-11-11 DOI:10.1016/j.est.2024.114433
Debidasi Mohanty, Ankita Giri, Sidhartha Panda
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引用次数: 0

摘要

可再生能源的使用日益增多,不仅解决了环境问题和能源短缺问题,还带来了经济增长。微电网可以为可再生能源与公用电网的连接提供一个框架,但可再生能源的高渗透率使得降低频率变化率(RoCoF)变得十分困难。本研究提出了一种自适应虚拟惯性控制(VIC)技术来解决这一不稳定问题。VIC 方法可模拟虚拟惯性,增强整个系统的惯性和频率稳定性。VIC 技术将储能系统与电力公司连接起来,有助于电力供应。然而,要调节虚拟惯性(VI)恒定值,必须进行精确的分析,以充分消除调节错误和系统不稳定性。模糊逻辑控制器可以解决非线性问题,并提供鲁棒性和可靠性。本研究提出了一种基于模糊自适应的 VIC 系统,用于低惯量微电网中稳定的负载频率调节。此外,本研究还提出了基于模糊的二次频率控制。利用可再生能源的实际功率波动和频率调节,开发了一种基于模糊自适应的 VIC,用于 VI 恒定模拟。算术优化算法技术用于获得优化的控制器参数。在可再生能源渗透率高/低和系统参数变化的情况下,与不带积分和模糊二次频率控制器的自适应 VIC、带积分和模糊二次频率控制器的标准 VIC 以及带积分二次控制器的自适应 VIC 相比,验证了所提出的带模糊二次热控制器的自适应 VIC 的功效。最后,在 OPAL-RT 5700 的帮助下,对所提出的 VIC 方法进行了实时验证,并将实验结果与传统 VIC 方法进行了比较。
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Frequency regulation by optimized fuzzy based self-adaptive virtual inertia control for microgrid with variable renewable penetration
The increasing use of renewable energy sources are solving environmental issues, energy shortage problems and result in economic growth. Microgrid can provide a framework for connecting RESs to the utility grid, but high penetration of RESs make it difficult to lower the Rate of Change of Frequency (RoCoF). In this research, a self-adaptive Virtual Inertia Control (VIC) technique is proposed to tackle this instability issue. VIC method simulates virtual inertia, enhancing inertia of the overall system and frequency stability. VIC technique links energy storage systems to the utility and helps with power supply. However, an accurate analysis is necessary to regulate the Virtual Inertia (VI) constant value, which could adequately eradicate the adjustment mistakes & system instability. Fuzzy logic controllers can tackle non-linear problems and provide robustness, and reliability. This research presents a fuzzy based self-adaptive VIC system for stable load frequency regulation in low-inertia microgrid. In addition to this, a fuzzy based secondary frequency control is also proposed in this study. A fuzzy based self-adaptive VIC is developed for VI constant emulation using real power fluctuations of RESs and frequency regulations. The Arithmetic optimization algorithm technique is used to obtain the optimized controller parameters. Efficacy of the proposed self-adaptive VIC with fuzzy based secondary thermal controller is validated against no VIC with integral and fuzzy based secondary frequency controller, standard VIC with integral as well as fuzzy based secondary frequency controller and self-adaptive VIC with integral secondary controller for high/low renewable sources penetrations and system parameter variations. Finally, real time validation of the proposed VIC approach has conducted with the help of OPAL-RT 5700 and the experimental results are compared with conventional VIC method.
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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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