Improved Social Ski Driver-based MPPT for partial shading conditions hybridized with constant voltage method for fast response to load variations
Document Type
Article
Publication Date
10-1-2021
Abstract
In this paper, an Improved Social Ski Driver based MPPT algorithm (ISSD-MPPT) has been proposed. Single dynamic tuning parameter making the algorithm implementation simpler as compared to the others. Besides, the ISSD-MPPT also increased the convergence speed (CS) by 38.75% compared to the conventional Social Ski Driver algorithm (SSD). Then, a new approach to increase the response speed during load variations, which is applicable in any conventional dc-dc converter, has been proposed. Different complex Partial Shading Conditions (PSCs) were tested on a buck-boost converter with an average tracking time less than 1s and a tracking efficiency of 99.8%. The MPPT rating through rating computation technique proved the proposed method consists of a higher number of features, with fast CS for irradiance and load variations, along with the low power fluctuations during the tracking state.
Keywords
Maximum power point trackers, Optimization, Load management, Heuristic algorithms, Maximum power point tracking, Partial shading condition, Global maximum power point, Social ski-driver algorithm, Metaheuristic algorithm
Divisions
Computer,sch_ecs
Funders
University of Malaya under UM Living Lab Grant Programme-SUS (Sustainability Science) (LL054-2021),NICOP research (N62909-18-1-2030),NICOP research (IF011-2018)
Publication Title
IEEE Transactions on Sustainable Energy
Volume
12
Issue
4
Publisher
IEEE-Inst Electrical Electronics Engineers Inc
Publisher Location
445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA