In this paper, we have proposed an effective hybrid partial transmit sequence (EHPTS), which addresses the problem of peak-to-average power ratio (PAPR) in a reconfigurable high-speed multi-input, multi-output orthogonal frequency division multiplexing (RHS-MIMO-OFDM) technology and efficiency minimizes PAPR in orthogonal frequency division multiplexing (OFDM).But the PTS technique needs to analysis all the probability of phase rotation factors which results in increases of mathematical model computation complexity grows exponentially with the increase of various subcarrier and sub-blocks. To reduce the analysis complexity, we propose a method mainly operated on to select the optimized phase factors to reduce the high PAPR. The proposed RHS-MIMO-OFDM system incorporated the novel local analysis operations that are designed and implemented to explore the optimum phase factors. The results of the simulation show that the proposed EHPTS method are reduced PAPR effects on OFDM system when it compared to the conventional PTS techniques (U = 4).
The power generation using solar photovoltaic (PV) system in microgrid requires energy storage system due to their dilute and intermittent nature. The system requires efficient control techniques to ensure the reliable operation of the microgrid. This work presents dynamic power management using a decentralized approach. The control techniques in microgrid including droop controllers in cascade with proportional-integral (PI) controllers for voltage stability and power balance have few limitations. PI controllers alone will not ensure microgrid’s stability. Their parameters cannot be optimized for varying demand and have a slow transient response which increases the settling time. The droop controllers have lower efficiency. The load power variation and steady-state voltage error make the droop control ineffective. This paper presents a control scheme for dynamic power management by incorporating the combined PI and hysteresis controller (CPIHC) technique. The system becomes robust, performs well under varying demand conditions, and shows a faster dynamic response. The proposed DC microgrid has solar PV as an energy source, a lead-acid battery as the energy storage system, constant and dynamic loads. The simulation results show the proposed CPIHC technique efficiently manages the dynamic power, regulates DC link voltage and battery’s state of charge (SoC) compared to conventional combined PI and droop controller (CPIDC).
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