气候变化领域集成服务门户(CCPortal): Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management

CCPortal

DOI	10.1038/s41598-024-55380-3
	Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management
	Mohapatra, Bhabasis; Sahu, Binod Kumar; Pati, Swagat; Bajaj, Mohit; Blazek, Vojtech; Prokop, Lukas; Misak, Stanislav
发表日期	2024
ISSN	2045-2322
起始页码	14
结束页码	1
卷号	14 期号:1
英文摘要	Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integrations with the grid in recent years. A load that is locally connected to a GCPV requires both active and reactive power control. In order to control both active and reactive power, MAs and advanced controllers are essential. Researchers have used one of the recently developed MAs, known as the CAOA, which is based on mathematical arithmetic operators to tackle a few real-world optimization problems. Some disadvantages of CAOA include its natural tendency to converge to a local optimum and its limited capacity for exploration. By merging the PSO and CAOA methodologies, this article suggests the IAOA. To show how applicable IAOA is, its performance has been evaluated using four benchmark functions. The implementation of an IAOA-based ST-SMC for active and reactive power control is addressed in this article, which offers an innovative approach of research. In comparison to PSO-based ST-SMC and CAOA-based ST-SMC, the proposed IAOA-based ST-SMC appears to be superior, with settling time for active and reactive power control at a minimum of 0.01012 s and 0.5075 s. A real-time OPAL-RT 4510 simulator is used to validate the performance results of a 40 kW GCPV system after it has been investigated in the MATLAB environment.
英文关键词	Improved arithmetic optimization algorithm (IAOA); Particle swarm optimization (PSO); Super twisting sliding mode controller (ST-SMC); Proportional-integral (PI) controller; Conventional arithmetic optimization algorithm (CAOA); Grid connected photovoltaic system (GCPV); Photovoltaic (PV)
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001177429500095
来源期刊	SCIENTIFIC REPORTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301461
作者单位	Siksha 'O' Anusandhan University; Graphic Era University; Al-Ahliyya Amman University; Technical University of Ostrava
推荐引用方式 GB/T 7714	Mohapatra, Bhabasis,Sahu, Binod Kumar,Pati, Swagat,et al. Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management[J],2024,14(1).
APA	Mohapatra, Bhabasis.,Sahu, Binod Kumar.,Pati, Swagat.,Bajaj, Mohit.,Blazek, Vojtech.,...&Misak, Stanislav.(2024).Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management.SCIENTIFIC REPORTS,14(1).
MLA	Mohapatra, Bhabasis,et al."Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management".SCIENTIFIC REPORTS 14.1(2024).