Abstract
With the development of new energy technology, the number of electric vehicles (EVs) will continue to increase, which will seriously threaten the safe operation of the power grid. The V2G information interaction system can help the power grid to achieve safe and reliable operation. Therefore, under the framework of the V2G information interaction system, this paper establishes the communication system between EVs and charging piles based on power line communication (PLC), which can reduce the cost and avoid the problem that the incompatible communication interface caused by different specifications of charging piles. Due to the severe impulse noise (IN) communication environments between EVs and charging piles, the transmission performance would be seriously degraded. Hence, an improved-priori-aided sparsity adaptive matching pursuit (IPA-SAMP) is proposed to reconstruct IN. In the process of IN cancellation, the measurement vector is obtained from the null sub-carriers. In order to efficiently reconstruct IN, as the input of the IPA-SAMP algorithm, partial support are improved by the optimized threshold, which significantly improve the accuracy and robustness of the recovered IN. The proposed IPA-SAMP algorithm can effectively recover IN in the channel between EVs and charging piles, improves the reliability of the information exchange system, which is validated by computer simulations.
Highlights
INTRODUCTION EVs could reduce the fossil fuel consumption and emission rates, while the large scale electric vehicles (EVs)’ charging demand have a negative impact on power grid, which could give a severe impact on the power network, affecting the security of power grids, if EVs charging is not managed properly [1]
In our previously work, the structure of a V2G information exchange system based on PLC was proposed and we have demonstrated the reliability about the vehicular power line communication (VPLC) [5]
Unlike the previously PA-sparsity adaptive matching pursuit (SAMP) which get the partial support only according to the received signal, the proposed IPA-SAMP could further improves the accuracy of screening and the accuracy of the iterative process by the improved partial support
Summary
Vs could reduce the fossil fuel consumption and emission rates, while the large scale EVs’ charging demand have a negative impact on power grid, which could give a severe impact on the power network, affecting the security of power grids, if EVs charging is not managed properly [1]. The channel attenuation and IN are the two main factors affect the reliability between EVs and charging piles based on PLC. The attenuation of PLC signal between EVs and charging piles is mainly caused by the inherent impedance of the charging line channel and the impedance mismatch between the charging line and the battery impedance. The inherent attenuation of the PLC signal between EVs and charging piles is mainly caused by the inherent impedance of the charging line channel. The reflection factor B and transmission factor TB are shown in (7) and (8) The carrier frequency with the least attenuation is selected in this paper
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