( Vol 46 , Issue 01 ) | 15 Jun 2026
Day
Hour
Min
Sec
( Vol 46 , Issue 01 ) | 30 Jun 2026
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.
Electrical Engineering
Biological Biosystem Engineering
Hardware-software co-design and interfacing
Nanotechnology
Turbines micro-turbines
Power quality
Energy optimization
HVDC transmission
Telecommunication Engineering
Integrated Engineering
Semiconductor chip
Advanced control theories and applications
FACTS devices
High voltage engineering
Electric drives
Power electronics
Electro-mechanical System Engineering
Electronic Engineering
Peripheral equipments
Machine design and optimization
Insulation systems
Electrical machines
Semiconductor chip
Electronic Engineering
Dynamic consensus-based average state observation is a common method for distributed secondary control (SC) of multi-bus microgrids. However, this method requires high communication and computation frequency, and currently available methods for static average consensus are not applicable for dynamic consensus. Meanwhile, it is not considered that the unbalanceness of directed networks can result observation and SC errors. Therefore, an observation- based distributed self-triggered SC strategy is proposed in this paper. First, a dynamic consensus-based distributed average state observer is d
In distribution networks, single-phase high impedance ground faults and dynamically varying asymmetric phase voltages exhibit similar waveforms of neutral point displacement voltage, which can lead to misjudgment of grounding protection. To address this issue, this paper establishes an asymmetric admittance vector model to analyze the causes of dynamically varying asymmetric phase voltages and reveal the changing mechanism of neutral point displacement voltage under non-fault conditions. A full-response fault circuit model is also developed to depict the variation trajectory of neutral poin
The adoption of virtual synchronous machines can enhance the system inertia of a "double high" power grid. However, the strong reactive power coupling inherent in the virtual synchronous machines can introduce power steady-state errors, significantly restricting the power transmission capacity of the converter, and potentially leading to system instability. Therefore, this paper conducts a detailed analysis of the power coupling mechanism of the VSG, and identifies the line impedance ratio (R/X) and phase angle (θ) as the two major factors that affect power coupling. The imp
With the large number of frequency-sensitive equipment in the power grid, code of power system security proposes more detailed and strict frequency recovery criterion (FRC) to make the frequency-sensitive equipment safely ride through frequency dynamics, and ensure frequency stability. To face to the FRC requirement, this paper proposes a response-driven adaptive load shedding strategy for the receiving-end power system. An FRC-oriented intelligent fuzzy controller of load shedding is developed, and logical inference rules for preventing over- or under-shedding problems are introduced. Base
After high-frequency oscillation occurs in a certain area of the wind farm, it may affect other areas, leading to large-scale oscillation of the entire wind farm. Taking a domestic doubly-fed wind farm with static var generator (SVG) as an example, the equivalent high frequency impedance model of the wind farm is established. Then, the phenomenon of large-scale oscillation in wind farms caused by high-frequency oscillation in a certain area is studied. The results show that wind farms can be divided into regions by contacting transformers, and the high-frequency oscillation risk of wind far