{"title":"A Perceptive SPS-LPDP Controller for Increasing the Power Quality Performance of Grid Integrated Symmetric Switching Multilevel Inverter","authors":"S. Srinivasan, G. Srinivasa Rao, S. Muthubalaji","doi":"10.1007/s40998-024-00719-9","DOIUrl":null,"url":null,"abstract":"<p>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%.</p>","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40998-024-00719-9","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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%.
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.