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Optimal Operational Strategy for PV/Wind-Diesel Hybrid Power Generation System with Energy Storage

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  • Vincent Anayochukwu Ani

    (Department of Electronic Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria)

Abstract

Telecommunications industry requires efficient, reliable and cost-effective hybrid power system as alternative to the power supplied by diesel generator. This paper proposed an operational control algorithm that will be used to control and supervise the operations of PV/Wind-Diesel hybrid power generation system for GSM base station sites. The control algorithm was developed in such a way that it coordinates when power should be generated by renewable energy (PV panels and Wind turbine) and when it should be generated by diesel generator and is intended to maximize the use of renewable system while limiting the use of diesel generator. Diesel generator is allocated only when the demand cannot be met by the renewable energy sources including battery bank. The developed algorithm was used to study the operations of the hybrid PV/Wind-Diesel energy system. The control simulation shows that the developed algorithm reduces the operational hours of the diesel generator thereby reducing the running cost of the hybrid energy system as well as the pollutant emissions. With the data collected from the site, a detailed economic and environmental analysis was carried out using micro power optimization software homer. The study evaluates savings associated with conversion of the diesel powered system to a PV/Wind-Diesel hybrid power system.

Suggested Citation

  • Vincent Anayochukwu Ani, 2014. "Optimal Operational Strategy for PV/Wind-Diesel Hybrid Power Generation System with Energy Storage," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 3(1), pages 101-120, January.
    • Handle: RePEc:igg:jeoe00:v:3:y:2014:i:1:p:101-120
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    Cited by:

    1. Julia Schulz & Daniel Leinmüller & Adam Misik & Michael F. Zaeh, 2021. "Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning," Sustainability, MDPI, vol. 13(7), pages 1-27, April.
    2. Mohammed H. Alsharif & Jeong Kim & Jin Hong Kim, 2017. "Green and Sustainable Cellular Base Stations: An Overview and Future Research Directions," Energies, MDPI, vol. 10(5), pages 1-27, April.

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