( Vol 45 , Issue 08 ) | 20 Nov 2025
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( Vol 45 , Issue 08 ) | 30 Nov 2025
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering (ISSN:0258-8013) is a monthly peer-reviewed scopus-indexed journal from 1985 to present. The publisher of this journal is Chinese Society for Electrical Engineering. PCSEE committed to gathering and disseminating excellent research achievements. The journal welcomes all kind of research/review/abstract papers regarding Engineering: Electrical and Electronic Engineering.
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AIM AND SCOPES
Zhongguo Dianji Gongcheng Xuebao/Proceedings Of The Chinese Society Of Electrical Engineering
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Electrical Engineering
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Biological Biosystem Engineering
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Hardware-software co-design and interfacing
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Nanotechnology
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Turbines micro-turbines
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Power quality
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Energy optimization
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HVDC transmission
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Telecommunication Engineering
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Integrated Engineering
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Semiconductor chip
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Advanced control theories and applications
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FACTS devices
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High voltage engineering
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Electric drives
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Power electronics
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Electro-mechanical System Engineering
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Electronic Engineering
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Peripheral equipments
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Machine design and optimization
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Insulation systems
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Electrical machines
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Semiconductor chip
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Electronic Engineering
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Zhongguo Dianji Gongcheng Xuebao/Proceedings Of The Chinese Society Of Electrical Engineering
Performance Evaluation of ANN and Fast Convergence MPPT Method for Solar Power
The conversion chain is the main component of the photovoltaic system, with the algorithms used being crucial to optimize this conversion chain. This article presents a study on the optimization of the energy produced by the photovoltaic panel, comparing the use of artificial intelligence, specifically artificial neural networks (ANN), with the fast convergence approach (FCA) developed in our previous work. The use of artificial neural networks demonstrates their efficiency and robustness in tracking the maximum power point under varying irradiation and temperature conditions. However, the res
Prediction of the lifetime of a power transformer using an optimized SVR
Predicting the lifetime of the transformer avoids a sudden cessation of its operation along with all technical, economic, and social consequences. The degree of polymerization of the cellulose which constitutes the transformer paper is a good indicator of aging. Since direct measurement of DP is not easy, DP can be determined from other transformer's quality parameters. One of the parameters used to determine indirectly the DP is the concentration of 2-furfuraldehyde. 2-furfuraldehyde is a product of cellulose degradation. In this article, we propose a support vector regression optimized by a
Distributed Energy Storage Cluster Configuration Method of Distribution Network Considering Carbon Emission Reduction Allocation
Under the background of the gradual establishment of the "carbon emission" market, aiming at the mismatch between the absorption capacity and growth rate of the system caused by a large number of distributed renewable energy accessed to the distribution network, this paper proposes an energy storage cluster partition method that considers the allocation of carbon emission reduction income among different subjects. First, all nodes are divided into several cluster regions based on the electrical distance and its power and load characteristics. Next, according to the characteristics
Conduction Interference Suppression Method for MC-WPT System Based on Balanced Impedance
Suppressing electromagnetic interference (EMI) to improve electromagnetic compatibility is an urgent problem that must be solved in the application of magnetic-coupled wireless power transfer systems. This paper takes the traditional LCC-S type magnetic coupled wireless power transfer (MC-WPT) system as the research object. A fusion topology of EMI filters and harmonic compensation networks was proposed aiming at conducted interference caused by impedance imbalance and parasitic parameters. This paper analyzes the generation mechanism and transmission channel characteristics of conduction i
Fault Prediction of Wind Turbine Rolling Bearing Considering Multi-time Scale Information
The fault of wind turbine rolling bearing will cause long-term downtime. To accurately predict the fault of wind turbine rolling bearing, this paper proposes a fault prediction method of wind turbine rolling bearing considering multi-time scale information. First, successive variational mode decomposition(SVMD) is used to adaptively extract the multi-dimensional characteristics of bearing health data. Next, the decomposed IMFS is input into the Informer model to extract multi-scale time information for training, and the nonstandard Bayesian optimization algorithm based on tree structure Par