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A compact filtering Wilkinson power divider with harmonic suppression based on lumped components is presented in this paper. The new divider uses two 5th-order elliptic-function low-pass filters to replace the quarter wavelength microstrip lines of the conventional Wilkinson power divider. The structure combines the power divider and the filter into a complete device. By integrating elliptic low-pass filters with the power divider, the proposed structure can suppress harmonics due to the filter’s band-notched characteristic. The power divider demonstrates a measured suppression of 37.1 dB for the second harmonic, 36.6 dB for the third harmonic, 38.6 dB for the fourth harmonic respectively. The harmonic suppression is higher than 20 dB from 2.75 to 7.035 GHz. Furthermore, lumped components are utilized to achieve improvement on size reduction. Compared with the conventional divider, the proposed structure effectively reduces the size by 77 %. The insertion loss is 3.2 dB at the center frequency (1.45GHz).

Recently, the integration of renewable energy sources in microgrids has seen a significant rise due to their attractive prices, reliability etc. However, besides the techno-economic benefits, the renewable energy sources are intermittent, and the high penetration of renewable sources into the microgrid poses design and operation challenges. Indeed, an efficient energy management strategy (EMS) is required to govern power flows across the entire microgrid. This paper introduces an advanced EMS design with a real-time monitoring interface for the effective operation of the hybrid microgrid and data analysis. The proposed advanced EMS model uses a real-time monitoring interface, and it provides the optimum operation and control in terms of balanced power supply and voltage profile with stable frequency. We designed the microgrid, which comprises hybrid sources such as solar and wind power sources, Li-ion battery storage system, backup electrical grids, and AC/DC loads, considering the functional constraints of a microgrid energy management and stability. In addition, the battery energy storage is effectively managed through the performance control of battery charging and discharging using an efficiency controller. The proposed system control is based on the optimum power supply of loads through the available renewable sources and the battery State of Charge (SOC). The microgrid measurement data is transmitted through the Python platform and a graphical user interface (GUI) software developed for data analysis. The simulation results using Matlab Simulink and Python platforms demonstrate the relevance and effectiveness of the proposed EMS and monitoring interface for the stable and reliable operation of the developed hybrid microgrid.