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- W2568953133 abstract "PVPs generate energy intermittently, due to the frequent changes in the solar radiation. Thus, managing the energy is important, especially for autonomous installations, for which a precise balance between the PV power generated and the power demanded by the load is required. In this chapter, a Fuzzy Management Algorithm for the optimum operation of a PV irrigation system composed of PVPs, a lead–acid battery bank, and a submerged pump, is presented and validated experimentally. The algorithm makes decisions on the interconnection time of the PVP, the battery bank, and the pump, depending on the PV power generated, the battery dod , and the stored water in the reservoir. The control algorithm aims to ensure a continuous pump supply and the battery bank protection against deep discharge and excessive charge. The algorithm effectiveness is then tested on a specific case study, during the vegetative cycle of tomatoes (from March to July ), and using data from the target location." @default.
- W2568953133 created "2017-01-13" @default.
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- W2568953133 date "2017-01-01" @default.
- W2568953133 modified "2023-09-23" @default.
- W2568953133 title "Optimum Energy Management of the Photovoltaic Irrigation Installation" @default.
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- W2568953133 doi "https://doi.org/10.1016/b978-0-12-812039-2.00004-1" @default.
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