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Intelligent power supply management of an autonomous hybrid energy generator

机译:自主混合动力发电机的智能电源管理

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This work deals with the optimization of an hybrid energy system used to supply an isolated site. The proposed system combines a wind turbine, a photovoltaic panel, a diesel generator and a battery bank to electrify atypical home. An energy cost-effectiveness approach is adopted in accordance with meteorological data, time profile of energy consumption, and the cost of different alternative systems. A variety of performances is obtained through simulations within the Homer Pro environment. The selection of an optimal combination is based on the maximum integration of renewable energy in the suggested system with a minimum of gas emission. According to the obtained results, the overall cost of the selected installation is about 72,900 €, with 0.415€ the unit cost of a kWh electric energy provided with a contribution of renewable energy of around 86%. Simulations show a technical and financial benefits of the different configurations obtained to supply the target site. To control the proposed hybrid energy system, a supervision algorithm is developed and implemented on TMS320F28027 DSP platform. The proposed energy system aims to take advantages of renewable energy sources and shift to conventional sources only when necessary in order to ensure source autonomy and service continuity.
机译:这项工作涉及用于向偏远地区供电的混合能源系统的优化。拟议的系统结合了风力涡轮机,光伏面板,柴油发电机和电池组,为非典型家庭提供了电力。根据气象数据,能源消耗的时间分布以及不同替代系统的成本,采用了一种能源成本效益方法。通过在Homer Pro环境中进行仿真,可以获得各种性能。最佳组合的选择基于所建议系统中可再生能源的最大整合,同时减少了气体排放。根据获得的结果,所选安装的总成本约为72,900欧元,其中千瓦时电能的单位成本为0.415欧元,可再生能源的贡献约为86%。仿真显示了获得用于提供目标站点的不同配置的技术和财务优势。为了控制提出的混合能源系统,开发了一种监控算法,并在TMS320F28027 DSP平台上实现了该算法。拟议的能源系统旨在利用可再生能源的优势,仅在必要时才转向常规能源,以确保能源自主性和服务连续性。

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