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Secondary load frequency control for multi-microgrids: HiL real-time simulation

机译:多微电网的二级负载频率控制:HIL实时仿真

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摘要

The intermittent feature of renewable energy sources leads to the mismatch between supply and load demand on microgrids. In such circumstance, the system experiences large fluctuations, if the secondary load frequency control (LFC) mechanism is unable to compensate the mismatch. In this issue, this paper presents a well-structured combination of the fuzzy PD and cascade PI-PD controllers named FPD/PI-PD controller as a supplementary (secondary) controller for the secondary load frequency control in the islanded multi-microgrid (MMG). Additionally, two modifications to the JAYA algorithm are made to enhance the diversity of the initial population and ameliorate the global searching ability in the iterative process. Afterward, the improved JAYA algorithm, referred to as IJAYA, is employed for fine-tuning the proposed structured controller installed in areas of the studied MMG. The superiority of the proposed IJAYA is validated by comparative analysis with genetic algorithm and basic JAYA in a similar structure of the PID controller. Furthermore, it will be shown that the proposed FPD/PI-PD controller employing IJAYA provides a higher degree of stability in suppressing the responses deviations as compared with the conventional PID and FPID controller structures. Finally, the novel optimal proposed approach is validated and implemented in the hardware-in-the-loop (HIL) based on OPAL-RT to integrate the fidelity of physical simulation and the flexibility of numerical simulation.
机译:可再生能源的间歇特征导致微电网供应和负载需求之间的不匹配。在这种情况下,如果二次负载频率控制(LFC)机制无法补偿不匹配,系统会经历大的波动。在此问题中,本文介绍了名为FPD / PI-PD控制器的模糊PD和级联PI-PD控制器的结构良好的组合,作为岛状多微电网中的二次负载频率控制的补充(辅助)控制器(MMG )。另外,对Jaya算法进行了两个修改,以增强初始群体的多样性,并改善迭代过程中的全球搜索能力。之后,改进的Jaya算法称为IJaya,用于微调安装在研究的MMG区域的所提出的结构控制器。通过PID控制器类似结构的遗传算法和基本Jaya的比较分析验证了所提出的IJaya的优越性。此外,将显示采用IJaya的所提出的FPD / PI-PD控制器在与传统PID和FPID控制器结构相比抑制响应偏差时提供更高程度的稳定性。最后,基于Opal-RT,在硬件 - 循环(HIL)中验证并实现了新颖的最佳提出方法,以集成物理仿真的保真度和数值模拟的灵活性。

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