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RISS 인기검색어
- 검색키워드
- 저자 : Huanyu He (검색결과 3 건)
- 무료
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- 유료
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Line-Interactive UPS for Low-Voltage Microgrids
Ping Zhang,Huanyu Cai,Hengyang Zhao,Jianjiang Shi,Xiangning He 전력전자학회 2015 JOURNAL OF POWER ELECTRONICS Vol.15 No.6
Line-interactive uninterruptible power supply (UPS) systems are good candidates for providing energy storage within a microgrid. In this paper, a control scheme for a line-interactive UPS system applied in a low-voltage microgrid is presented. It is based on the Q-w and P-E droop control to achieve a seamless transition between grid-connected and stand-alone operation modes. Moreover, a new model for designing the controllers is built in the dq-frame based on the instantaneous power definition. The new-built model takes into account the dynamic performance of the output impedance of the inverter in the dq-frame and can be evaluated in the time domain. Compared to the traditional model based on the instantaneous power definition, the new-built model is more accurate to describe the dynamic performance of the system. Simulation and experimental results obtained with a microgrid consisting of two 40-kW line-interactive UPS systems are given to validate the control strategy of the line-active UPS system and the accuracy of the new-built model.
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NOLD: A Neural-Network Optimized Low-Resolution Decoder for LDPC Codes
Lei Chu,Huanyu He,Ling Pei,Robert C. Qiu 한국통신학회 2021 Journal of communications and networks Vol.23 No.3
The min-sum (MS) algorithm can decode Low-densityparity-check (LDPC) codes with low computational complexity atthe cost of slight performance loss. It is an effective way to realizehardware implementation of the min-sum decoder by quantizingthe floating belief messages (i.e., check-to-variable messages andvariable-to-check messages) into low-resolution (i.e., 2–4 bits) ver sions. However, such a way can lead to severe performance degra dation due to the finite precision effect. In this paper, we proposea neural-network optimized low-resolution decoding (NOLD) al gorithm for LDPC codes to deal with the problem. Specifically,the optimization of decoding parameters (i.e., scaling factors andquantization step) is achieved in a hybrid way, in which we con catenate a NOLD decoder with a customized neural network. Alllearnable parameters associated with the decoding parameters areassigned to each neuron in the proposed method. What’s more, wedesign a new activation function whose outputs are close to the em ployed quantizer ones when network parameters are finally opti mized off-line. Finally, the performance of the proposed method isverified by numerous experiments. For the case of 2-bit decoding,the proposed approach significantly outperforms several conven tional decoders at the expense of slightly increased off-line trainingtime. Besides, the proposed method with 4-bit quantization incursonly 0.1 dB performance loss compared with the floating min-sumdecoder at the coded bit-error-rate of 10−5. Moreover, we showthat the proposed NOLD decoder works over a wide range of chan nel conditions for regular and irregular LDPC codes. Simulationcode for reproductive results is publicly available1.
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Line-Interactive UPS for Low-Voltage Microgrids
Zhang, Ping,Cai, Huanyu,Zhao, Hengyang,Shi, Jianjiang,He, Xiangning The Korean Institute of Power Electronics 2015 JOURNAL OF POWER ELECTRONICS Vol.15 No.6
Line-interactive uninterruptible power supply (UPS) systems are good candidates for providing energy storage within a microgrid. In this paper, a control scheme for a line-interactive UPS system applied in a low-voltage microgrid is presented. It is based on the Q-w and P-E droop control to achieve a seamless transition between grid-connected and stand-alone operation modes. Moreover, a new model for designing the controllers is built in the dq-frame based on the instantaneous power definition. The new-built model takes into account the dynamic performance of the output impedance of the inverter in the dq-frame and can be evaluated in the time domain. Compared to the traditional model based on the instantaneous power definition, the new-built model is more accurate to describe the dynamic performance of the system. Simulation and experimental results obtained with a microgrid consisting of two 40-kW line-interactive UPS systems are given to validate the control strategy of the line-active UPS system and the accuracy of the new-built model.
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