A Perceptive SPS-LPDP Controller for Increasing the Power Quality Performance of Grid Integrated Symmetric Switching Multilevel Inverter

IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
S. Srinivasan, G. Srinivasa Rao, S. Muthubalaji
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引用次数: 0

Abstract

Designing an efficient and advanced controlling technique for improving the power quality of grid integrated multilevel inverters is one of the challenging and demanding tasks in recent days. Because reduced Total Harmonic Distortions (THD), voltage sag, swell, and other power quality issues have a significant impact on the performance of the overall grid system. Hence, the different types of multilevel inverter topologies are implemented in the conventional works for solving the power quality problems of the grid-PV systems. Since, it limits with the drawbacks of increased system complexity, oscillations, loss of power, and presence of noise components. Therefore, the proposed work objects to develop an advanced and efficient optimization based controlling technique, named as, Swapped Probabilistic Search (SPS)—Linear Propagation of Differential Parameter (LPDP) Controller for the grid-PV systems. The main contribution of this work is to design and develop a Symmetric Switching based Multilevel Inverter (SSMI) for solving the power quality problems of grid systems. Moreover, a Nelder-Mead Maximum Power Point Tracking (NM-MPPT) algorithm is also employed for obtaining the maximum power yield from the solar PV panels during fluctuating climatic circumstances. The development of a new controlling algorithm for a multi-level inverter in order to enhance grid system power quality is the original research contribution of this work. It supports to increase PV output with minimal switching complexity by utilizing a cutting-edge converter. A new NM-MPPT controlling algorithm, SEPIC converter, SPS optimization, and LPDP controlling technique are used in this study work to achieve these goals. In order to improve the performance of SSMI, the controlling parameters are selected with the use of SPS optimization technique. Based on the LPDP controlling operations, the overall grid performance is improved with better power quality. The SPS-LPDP controlling technique helps to improve the power quality of grid by tuning the optimal controlling parameters. During evaluation, the performance of SPS-LPDP controlling technique is validated and compared by using various measures. By using SPS-LPDP controlling technique, the power tracking efficiency is improved to 99%, THD is reduced to 2.94%, and hardware performance rate is increased up to 98%.

Abstract Image

用于提高电网集成式对称开关多电平逆变器电能质量性能的感知型 SPS-LPDP 控制器
设计一种高效、先进的控制技术来改善电网集成多电平逆变器的电能质量,是近年来极具挑战性的艰巨任务之一。因为降低总谐波失真(THD)、电压下陷、电压膨胀和其他电能质量问题会对整个电网系统的性能产生重大影响。因此,为解决电网-光伏系统的电能质量问题,传统工程中采用了不同类型的多电平逆变器拓扑结构。但这种拓扑结构存在系统复杂性增加、振荡、功率损耗和噪音成分等缺点。因此,我们提出的工作目标是为电网-光伏系统开发一种先进、高效、基于优化的控制技术,即交换概率搜索(SPS)-线性差分参数传播(LPDP)控制器。这项工作的主要贡献在于设计和开发了一种基于对称开关的多电平逆变器(SSMI),用于解决电网系统的电能质量问题。此外,还采用了 Nelder-Mead 最大功率点跟踪(NM-MPPT)算法,以在波动的气候条件下获得太阳能光伏板的最大发电量。为多电平逆变器开发一种新的控制算法,以提高电网系统的电能质量,是这项工作的原创性研究成果。它通过利用先进的转换器,以最小的开关复杂度提高光伏输出。为实现这些目标,本研究采用了新的 NM-MPPT 控制算法、SEPIC 转换器、SPS 优化和 LPDP 控制技术。为了提高 SSMI 的性能,利用 SPS 优化技术选择了控制参数。在 LPDP 控制操作的基础上,整体电网性能得到改善,电能质量得到提高。SPS-LPDP 控制技术有助于通过调整最佳控制参数来改善电网的电能质量。在评估过程中,SPS-LPDP 控制技术的性能通过各种措施进行了验证和比较。通过使用 SPS-LPDP 控制技术,功率跟踪效率提高到 99%,总谐波失真降低到 2.94%,硬件性能提高到 98%。
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来源期刊
CiteScore
5.50
自引率
4.20%
发文量
93
审稿时长
>12 weeks
期刊介绍: Transactions of Electrical Engineering is to foster the growth of scientific research in all branches of electrical engineering and its related grounds and to provide a medium by means of which the fruits of these researches may be brought to the attentionof the world’s scientific communities. The journal has the focus on the frontier topics in the theoretical, mathematical, numerical, experimental and scientific developments in electrical engineering as well as applications of established techniques to new domains in various electical engineering disciplines such as: Bio electric, Bio mechanics, Bio instrument, Microwaves, Wave Propagation, Communication Theory, Channel Estimation, radar & sonar system, Signal Processing, image processing, Artificial Neural Networks, Data Mining and Machine Learning, Fuzzy Logic and Systems, Fuzzy Control, Optimal & Robust ControlNavigation & Estimation Theory, Power Electronics & Drives, Power Generation & Management The editors will welcome papers from all professors and researchers from universities, research centers, organizations, companies and industries from all over the world in the hope that this will advance the scientific standards of the journal and provide a channel of communication between Iranian Scholars and their colleague in other parts of the world.
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