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首页> 外文期刊>Journal of The Institution of Engineers (India): Series B >TLBO Algorithm for Multi-Level Inverter-Based Multi-Terminal HVDC System in Grid-Tied Photovoltaic Power Plant
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TLBO Algorithm for Multi-Level Inverter-Based Multi-Terminal HVDC System in Grid-Tied Photovoltaic Power Plant

机译：基于电锯光伏发电厂多级逆变器多终端HVDC系统的TLBO算法

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The main objective of this paper is to overcome the problems with conventionally tuned proportional-plus-integral (PI) controller by using TLBO-PI technique, which enhances the dynamic performance. The significant problem is that it is not able to provide optimal parameters, which is overcome by new teaching-learning-based optimization (TLBO) algorithm. This research work develops a new TLBO for multi-level inverter (MLI)-based multi-terminal HVDC (MLI-MT-HVDC) in grid-tied photovoltaic power plants (GTPVPPs). In this, 7-level inverter is replaced by a conventional 3-level, due to its advantage of less number of switching components, less dc source requirement, low total harmonic distortion (THD) and due to main effective reason of application in HVDC transmission. Here two terminals with individual grid integration are interconnected to a common terminal of solar distributed generation (DG). Among those terminals with grid integration, one is faulty and other is healthy terminal, in which the healthy terminal is not affected due to the fault on a faulty terminal. A teacher and students in a class are employed in step-by-step manner to generate an optimal result. The test system is also controlled with a fuzzy logic controller (FLC), adaptive neuro-fuzzy inference system (ANFIS), but due to its simple structure and its application in industries, a PI controller with new optimization method is implemented. Additionally, it is clear that TLBO-PI can reduce the THD to the level as per IEEE 519-2014 standards, improve fault-ride-through (FRT) capability and enhance the dynamic performance better during abnormalities and dynamic load.
机译：本文主要目的是通过使用TLBO-PI技术来克服传统调谐的比例加积（PI）控制器的问题，这提高了动态性能。重要问题是它无法提供最佳参数，这是通过新的教学基于教学的优化（TLBO）算法来克服。该研究工作开发了新型TLBO用于多级逆变器（MLI）的多级HVDC（MLI-MT-HVDC），在网格绑定光伏发电厂（GTPVPPS）中。在此，7级逆变器由传统的3级代替，由于其优势较少的开关组件，较少的直流源需求，低总谐波失真（THD），并且由于在HVDC传输中的应用主要有效原因。这里有两个具有单个网格集成的终端与太阳分布生成（DG）的公共端子相互连接。在具有网格集成的终端中，一个是有缺陷的，另一个是健康的终端，其中由于故障终端上的故障，健康终端不会受到影响。课程中的老师和学生以逐步的方式使用，以产生最佳结果。测试系统也用模糊逻辑控制器（FLC），自适应神经模糊推理系统（ANFIS）控制，但由于其结构简单及其在行业中的应用，实现了具有新优化方法的PI控制器。此外，很明显，根据IEEE 519-2014标准，TLBO-PI可以将THD降低到水平，提高故障驾驶（FRT）能力，并在异常和动态负载期间提高动态性能。

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