Performance of Coded Wireless Power Controllers for Wind Turbines Connected to a Smart Grid

Nowadays, with the advance of smart grid technologies, the participation of renewable energy in the power systems is changing for attend new requirements and increase efficiency of the systems. With a view of smart grid context, this work proposes the review of a modern wireless control system proposed based on for squirrel cage induction generators connected to the power grid. The wireless communication system applied transmits the reference power signals to the SCIG controller with the necessary reliability to ensure the power quality provided by the wind turbine employing the OFDM multi-carrier transmission technique associated with an LDPC coding scheme. The satisfactory results of this research endorse the operability and advantages of application of wireless control system for windy plants when some requirements and techniques, based on digital modulation and coding techniques, are employees

Further Improvements in Decoding Performance for 5G LDPC Codes Based on Modified Check-Node Unit

One of the most important units of Low-Density Parity-Check (LDPC) decoders is the Check-Node Unit. Its main task is to find the first two minimum values among incoming variable-to-check messages and return check-to-variable messages. This block significantly affects the decoding performance, as well as the hardware implementation complexity. In this paper, we first propose a modification to the check-node update rule by introducing two optimal offset factors applied to the check-to-variable messages. Then, we present the Check-Node Unit hardware architecture which performs the proposed algorithm. The main objective of this work aims to improve further the decoding performance for 5th Generation (5G) LDPC codes. The simulation results show that the proposed algorithm achieves essential improvements in terms of error correction performance. More precisely, the error-floor does not appear within Bit-Error-Rate (BER) of 10^(-8), while the decoding gain increases up to 0.21 dB compared to the baseline Normalized Min-Sum, as well as several state-of-the-art LDPC-based Min-Sum decoders