4.6 Article

Energy Management in the Decentralized Generation Systems Based on Renewable Energy-Ultracapacitors and Battery to Compensate the Wind/Load Power Fluctuations

期刊

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
卷 51, 期 2, 页码 1817-1827

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2014.2354737

关键词

Current control; dc/dc converters; diesel generator; energy management; lithium battery; maximum power point tracking (MPPT); microgrid; photovoltaic (PV) panel; polynomial controller; ultracapacitors (UCs); wind turbine

资金

  1. Haute-Normandie region, France

向作者/读者索取更多资源

This paper presents the energy management for the decentralized generation systems (DGS) using the wind turbine with photovoltaic (PV) panels and the energy storage devices. For a high penetration level of the wind/PV generation, the energy storage device with a fast response is necessary to cover the shortfall or overflow of generation due to sudden variations of the wind or the sun. In addition, the requested energy by the residential appliances presents random behavior, which can be lower or higher than the produced energy from the renewable sources. Using the wind turbine and the PV power generation system with energy storage will reduce the fluctuations of the wind power and the load ones. The energy storage system requires capital investment; thus, it is important to estimate the reasonable storage capacities without an overflow size for the desired applications. In addition, a good strategy for energy management is necessary to reduce the variation impacts of the wind energy and the load for the battery and the residential appliances. The contribution of this paper is focused on energy management based on the frequency approach using the wind/load's fluctuating power sharing and the polynomial controllers. First, this method enables reducing for the battery and the microgrid the impacts of the microcycles due to the wind/load's power fluctuations. Second, it allows estimating the energy storage capacity without the overflow size. The performances of the proposed method are evaluated through some simulations and experimental tests using the summer load profile and the winter ones.

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