papers list Journal of Zhengzhou University (Engineering Science)

Aiming to meet the requirement of modulation recognition in high order and to solve the difficulty of modulation recognition in low signal-to-noise ratio environment in 6G communication, a modulation recognition al gorithm based on multi-criteria fusion and intelligent decision was proposed by combining artificial intelligence tech nology and modern signal processing technology. The algorithm was divided into two parts. Multi-criteria fusion net work and intelligent decision network. The multi-criteria fusion network calculated the higher-order cumulative ex tensions of the standard modulation signals, traversed all the potential thresholds by using local optimal solutions, and determined the judgment thresholds by Gini coefficient and the entropy of certainty gain. The intelligent deci sion network adopted a CART architecture to recognize the modulation format of unknown signals using the deter mined judgment thresholds, and the model was iterative optimized using a pruning algorithm to obtain the finally op timal decision tree, forming a modulation recognition algorithm based on multi-criteria fusion and intelligent deci sion making. Experimental results showed that the algorithm could accurately recognize 16QAM, 64QAM, 128QAM, 1024QAM, 2PSK, 4PSK, 8PSK, 2FSK, 4FSK at 0 dB SNR, and the comprehensive recognition accu racy reached 99. 4%. Compared with other methods, the modulation recognition accuracy and the types of recogniz able modulation were improved.

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Rolling Clearing Model of Electricity Carbon Joint Market Based on Variable Carbon Emission Intensity[2]

Xin Jiang, Shijie Duan, Yang Jin, Jingyi Shang

Doi:10.13705/j.issn.1671-6833.2024.04.014

Abstract:

Due to the fact that the physical constraints of traded goods in the electricity market and the carbon mar ket are different, and the trading time scale is quite different, it is difficult for the two markets to integrate effective ly. Aiming at the problem, a rolling clearing model of the electro-carbon joint market based on the variable carbon emission intensity and the centralized carbon trading mechanism was proposed. In the proposed model, the interac tion between the electricity market and the carbon market was enhanced by considering the carbon intensity and load rate interval of the unit. Meanwhile, the rolling clearance of the joint market based on the centralized carbon trading mechanism reduced the trading time scale of the carbon market to synchronize with the electricity market, making it′s better to found the value of carbon emission rights in different periods. With the further reduction of China′s carbon emission baseline value and the increase of new energy penetration rate, the impact on each unit was analyzed by simulation examples. It was verified that in the proposed model, with the reduction of the carbon emission baseline value, the average carbon cost of high-carbon emission units increased by 46%, the average car bon income of low-carbon emission units increased by 27%, and the increase in the penetration rate of new energy units reduced the average carbon cost of the large-capacity thermal power units by 5. 53%. Therefore, the proposed model could effectively promote the transformation of the clean direction of the system. Compared with the tradition al stepped carbon pricing mechanism, the average carbon cost of high-carbon emission units in the proposed model was reduced by 6. 13%, which could indirectly improve the enthusiasm of high-carbon emission units to participate in the carbon market

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