KEYWORDS: Compressed sensing, Data transmission, Matrices, Data communications, Wireless communications, Network security, Reconstruction algorithms, Computer security, Signal processing, Signal to noise ratio
With the increasing integration of distributed renewable energy sources into distribution networks, the characteristics of fault currents in distribution networks have undergone significant changes. Traditional three-stage current protection is no longer sufficient to meet the protection requirements. In theory, a differential protection scheme can better fulfill the requirements of rapid and accurate fault detection and clearance in distribution networks. Differential protection relies on real-time communication for information exchange between devices, and many researchers have incorporated wireless networks such as 5G into distribution network differential protection. Given the exponential growth of data in distribution networks and the security considerations of wireless communication like 5G, this paper proposes a secure protection technique for distribution network differential protection based on dual compressed sensing theory. This technique employs two compressed sensing schemes to compress the data before transmission, reducing the amount of data transferred while enhancing security. Subsequently, secure determinations are made based on the data at both ends processed through the compressed sensing algorithm, ensuring the security of communication in distribution network differential protection while achieving the same level of protection performance as traditional differential protection schemes.
We propose a scheme of ultraviolet (UV) communication system with low-density parity-check (LDPC) code. LU decomposition algorithm is adopted as the channel coding algorithm and log likelihood ratio sum-product algorithm (LLRSPA) is adopted as the channel decoding method. In this paper, additive white gaussian noise (AWGN) model is used to simulate the influence of noise on the ultraviolet signal in the atmospheric channel and cut-complementary (CC) model is used to forecast the path loss of UV communication system. The bit error rate (BER) performance of UV communication system is studied by simulation from aspects of transmission power, photoelectric conversion efficiency, filter transmittance, transmitter and receiver elevation angle. The simulation results show that, in a non-line-of-sight (NLOS) case, the communication distance can achieve about 200m with 10−3 BER when the transmission power is 260mW.
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