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Yi Lingzhi,Shi Hao,Liu Jiangyong,Zhou Dongfang,Liu Ximeng,Zhu Jiang 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
The P-U curves of PV array panels under partial shading shows multi-peaked characteristics, therefore, conventional Maximum Power Point Tracking (MPPT) methods may fail or not be accurate enough. In this paper, a Chaos Mayfl y Optimization with Lévy Flight and Adaptive Algorithm (CMOFA) is proposed to track the maximum power points of PV arrays under partial shading. Firstly, sin chaos is used to initialize the population, then adaptive adjustment of inertia weights is introduced and the learning factor is changed to enhance the local search ability of the algorithm. Later in the operation of the algorithm, when the search falls into the local optimum, Lévy fl ight with induced variable step length is used to make the algorithm jump out of the local optimum and improve the local optimum avoidance ability of the mayfl y algorithm. The simulation results show that CMOFA is not only able to avoid local shading and dynamic shading changes, but also has a signifi cant improvement in convergence speed and search accuracy compared with conventional intelligent algorithms.
Distributed Data Storage in Wireless Sensor Networks
Gao Weimin,Zhu Lingzhi 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.4
This paper studied the techniques of distributed data storage in wireless senor networks. Firstly, the challenge and the need for such techniques were summarized; Secondly, some representative distributed data storage and retrieval schemes were introduced in detail; finally, the future research directions and open issues were pointed out.