In this paper, an new strategy of control that combines perturb and observe (P&O) method with least square support vector machines algorithm(LS-SVM) is designed. Some problems in P&O method like oscillations around maximum power point (MPP), failure at rapidly irradiation changing, and low convergence rate will be overcome. An voltage step which displaces the operating voltage to proximity of MPP is estimated at each large and sudden change of irradiation by an LS-SVM model. In order to save the ease and simplicity of maximum power point tracking (MPPT) control, The LS-SVM model is constructed off-line with reduced number of training data. The proposed control is applied on a PV water pumping system, and validated through simulations.Keywords-photovoltaic; maximum power point tracking; perturb and observe control; least square support vector machines; photovoltaic water pumping system
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.