A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems

doi:10.3390/su131910778

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems
	Lodhi, Ehtisham 1,2; Wang, Fei-Yue3 ; Xiong, Gang1,4 ; Mallah, Ghulam Ali 5; Javed, Muhammad Yaqoob 6; Tamir, Tariku Sinshaw 1,2; Gao, David Wenzhong 7
发表期刊	SUSTAINABILITY
	2021-10-01
卷号	13 期号:19 页码:27
通讯作者	Xiong, Gang(gang.xiong@ia.ac.cn)
摘要	Currently, grid-connected Photovoltaic (PV) systems are widely encouraged to meet increasing energy demands. However, there are many urgent issues to tackle that are associated with PV systems. Among them, partial shading is the most severe issue as it reduces efficiency. To achieve maximum power, PV system utilizes the maximum power point-tracking (MPPT) algorithms. This paper proposed a two-level converter system for optimizing the PV power and injecting that power into the grid network. The boost converter is used to regulate the MPPT algorithm. To make the grid-tied PV system operate under non-uniform weather conditions, dragonfly optimization algorithm (DOA)-based MPPT was put forward and applied due to its ability to trace the global peak and its higher efficiency and shorter response time. Furthermore, in order to validate the overall performance of the proposed technique, comparative analysis of DOA with adaptive cuckoo search optimization (ACSO) algorithm, fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN), improved particle swarm optimization (IPSO), and PSO and Perturb and Observe (P & O) algorithm were presented by using Matlab/Simulink. Subsequently, a voltage source inverter (VSI) was utilized to regulate the active and reactive power injected into the grid with high efficiency and minimum total harmonic distortion (THD). The instantaneous reactive power was adjusted to zero for maintaining the unity power factor. The results obtained through Matlab/Simulink demonstrated that power injected into the grid is approximately constant when using the DOA MPPT algorithm. Hence, the grid-tied PV system's overall performance under partial shading was found to be highly satisfactory and acceptable.
关键词	photovoltaic (PV) partial shading maximum power point tracking (MPPT) dragonfly optimization algorithm (DOA) adaptive cuckoo search optimization (ACSO) fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN) improved particle swarm optimization (IPSO) voltage source inverter (VSI) total harmonic distortion (THD)
DOI	10.3390/su131910778
关键词[WOS]	POINT TRACKING TECHNIQUES ; PHOTOVOLTAIC SYSTEM ; MPPT ; IMPLEMENTATION ; SIMULATION ; INVERTER ; DESIGN ; COLONY
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2018AAA0101502] ; Science and technology project of SGCC (State Grid Corporation of China)
项目资助者	National Key R&D Program of China ; Science and technology project of SGCC (State Grid Corporation of China)
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号	WOS:000727362400001
出版者	MDPI
七大方向——子方向分类	博弈论与学习
引用统计	被引频次：22[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46762
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Xiong, Gang
作者单位	1.Chinese Acad Sci, Inst Automat, SKL Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Cloud Comp Ctr, Dongguan 523808, Peoples R China 5.Shah Abdul Latif Univ, Dept Comp Sci, Khairpur 66111, Pakistan 6.COMSATS Univ Islamabad, Dept Elect & Comp Engn, Lahore Campus, Lahore 54000, Pakistan 7.Univ Denver, Dept Elect & Comp Engn, Denver, CO 80208 USA
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Lodhi, Ehtisham,Wang, Fei-Yue,Xiong, Gang,et al. A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems[J]. SUSTAINABILITY,2021,13(19):27.
APA	Lodhi, Ehtisham.,Wang, Fei-Yue.,Xiong, Gang.,Mallah, Ghulam Ali.,Javed, Muhammad Yaqoob.,...&Gao, David Wenzhong.(2021).A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems.SUSTAINABILITY,13(19),27.
MLA	Lodhi, Ehtisham,et al."A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems".SUSTAINABILITY 13.19(2021):27.