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A Novel Design and Optimization Software for Autonomous PV/Wind/Battery Hybrid Power Systems

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  • Ali M. Eltamaly
  • Mohamed A. Mohamed

Abstract

This paper introduces a design and optimization computer simulation program for autonomous hybrid PV/wind/battery energy system. The main function of the new proposed computer program is to determine the optimum size of each component of the hybrid energy system for the lowest price of kWh generated and the best loss of load probability at highest reliability. This computer program uses the hourly wind speed, hourly radiation, and hourly load power with several numbers of wind turbine (WT) and PV module types. The proposed computer program changes the penetration ratio of wind/PV with certain increments and calculates the required size of all components and the optimum battery size to get the predefined lowest acceptable probability. This computer program has been designed in flexible fashion that is not available in market available software like HOMER and RETScreen. Actual data for Saudi sites have been used with this computer program. The data obtained have been compared with these market available software. The comparison shows the superiority of this computer program in the optimal design of the autonomous PV/wind/battery hybrid system. The proposed computer program performed the optimal design steps in very short time and with accurate results. Many valuable results can be extracted from this computer program that can help researchers and decision makers.

Suggested Citation

  • Ali M. Eltamaly & Mohamed A. Mohamed, 2014. "A Novel Design and Optimization Software for Autonomous PV/Wind/Battery Hybrid Power Systems," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-16, August.
    • Handle: RePEc:hin:jnlmpe:637174
    DOI: 10.1155/2014/637174
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    Cited by:

    1. Majid Ali & Juan C. Vasquez & Josep M. Guerrero & Yajuan Guan & Saeed Golestan & Jorge De La Cruz & Mohsin Ali Koondhar & Baseem Khan, 2023. "A Comparison of Grid-Connected Local Hospital Loads with Typical Backup Systems and Renewable Energy System Based Ad Hoc Microgrids for Enhancing the Resilience of the System," Energies, MDPI, vol. 16(4), pages 1-20, February.
    2. Mana Abusaq & Mohamed A. Zohdy, 2024. "Optimizing Renewable Energy Integration through Innovative Hybrid Microgrid Design: A Case Study of Najran Secondary Industrial Institute in Saudi Arabia," Clean Technol., MDPI, vol. 6(2), pages 1-21, March.

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