Smart Hybrid Power Sources Controller based on Fuzzy Logic for Energy Management using Wireless Sensor Networks

Yousef E. M. Hamouda
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Abstract

The diverse of renewable and traditional sources of electrical power generation has been driven the need for Home Energy Management System (HEMS) to control the operation of different sources inside smart homes. In this paper, Hybrid Power Source Controller (HPSC) with the presence of the utility Smart Grid (SG) and the Fuel Cell (FC) is invented to optimally control and share the demands of required load power between SG and FC based on Fuzzy Logic Controller (FLC). The FLC is designed to reduce the electricity price and to maintain the grid stability. Wireless Sensor Network (WSN) is employed to measure the grid frequency, electrical current, and electrical voltage. The inputs to the FLC are the load power and the grid frequency, while the outputs of FLC are the amounts of electrical powers delivered from the SG and FC. Simulation results show that the proposed HPSC can smartly compute the amounts of delivered power from the SG and FC according to the current measurements of grid frequency and load electrical power so that the energy cost and grid stability are improved.
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基于模糊逻辑的无线传感器网络能量管理智能混合电源控制器
可再生能源和传统能源发电的多样性推动了对家庭能源管理系统(HEMS)的需求,以控制智能家居中不同能源的运行。本文提出了一种基于模糊逻辑控制器(FLC)的混合电源控制器(HPSC),在公用事业智能电网(SG)和燃料电池(FC)存在的情况下,实现智能电网和燃料电池之间所需负载功率的最优控制和共享。FLC的目的是降低电价,保持电网的稳定。无线传感器网络(WSN)用于测量电网频率、电流和电压。FLC的输入是负载功率和电网频率,而FLC的输出是SG和FC传递的电功率。仿真结果表明,所提出的HPSC能够根据当前电网频率和负载功率的测量值智能地计算SG和FC的输出功率,从而提高能源成本和电网稳定性。
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