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• W3009236713 abstract "This paper proposes an optimal energy management of grid-connected PV-Diesel-Battery power system using a newly developed supervision algorithm. The main advantage of the proposed control technique is to reduce the size of the power system, lower the power cost and ensure fuel economy, which can be achieved by using the concepts of: two-level control strategy, high-priority and low-priority loads, bidirectional power flow to and from the utility grid, and energy selling in timely manner. To examine the effectiveness of the proposed control technique, MATLAB simulations are carried out under a challenging scenarios, namely irradiance of typical day, two variable loads with high and low priority and one battery charge cycle. The obtained results confirmed the effectiveness of the control technique in general and the management algorithm in particular in satisfying the load power needs and selling/buying the power to/from the utility grid in the right time, while protecting battery from the overcharging and the deepdischarging." @default.
• W3009236713 created "2020-03-13" @default.
• W3009236713 creator A5013040446 @default.
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• W3009236713 date "2019-11-01" @default.
• W3009236713 modified "2023-09-23" @default.
• W3009236713 title "Optimal control and energy management of grid-connected PV-diesel-battery hybrid power system" @default.
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• W3009236713 doi "https://doi.org/10.1109/icaee47123.2019.9014656" @default.
• W3009236713 hasPublicationYear "2019" @default.
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