Embedding Power Line Communication in Photovoltaic Optimizer by Modulating Data in Power Control Loop

Zhu, Yue, Wu, Jiande, Wang, Ruichi, Lin, Zhengyu and He, Xiangning (2018). Embedding Power Line Communication in Photovoltaic Optimizer by Modulating Data in Power Control Loop. IEEE Transactions on Industrial Electronics ,


In Photovoltaic (PV) system, dc-dc power optimizer (DCPO) is an option to maximize output power. At the same time, data links among DCPOs are often required for system monitoring and controlling. This paper proposes a novel power line communication (PLC) method for the DCPOs, in which the data of a DCPO is modulated into the control loop of power converter, and then transmitted through the series-connected dc power line to other DCPOs. In the process of communication, differential phase shift keying (DPSK) modulation and discrete Fourier transformation (DFT) demodulation are employed. To analyze the quality of communication, the communication model of the system is built, based on small-signal model. Furthermore, the noises of the system, including switching, maximum power point tracking (MPPT) and additive white Gaussian noise (AWGN), are discussed and measured to evaluate the signal-to-noise ratio (SNR). At last, an experimental system including 6 DCPOs is established and tested, which verifies the feasibility and effectiveness of the proposed method.

Publication DOI: https://doi.org/10.1109/TIE.2018.2838081
Divisions: Engineering & Applied Sciences > Electrical, electronic & power engineering
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: This work is sponsored by the National Nature Science Foundation of China under Grants 51577170, National Key Technologies R&D Program of China No. 2017YFE0112400, and the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 734796.
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Related URLs: https://ieeexpl ... cument/8365138/ (Publisher URL)
Published Online Date: 2018-05-24
Authors: Zhu, Yue
Wu, Jiande
Wang, Ruichi
Lin, Zhengyu ( 0000-0001-7733-2431)
He, Xiangning



Version: Accepted Version

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