Xiaodan Yu

Tianjin University

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i-10 index

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Hongjie Jia

Jilin University

120

Yunfei Mu

Tianjin University

Xiaolong Jin

Tianjin University

Kai Hou

Tianjin University

Xiandong Xu

Cardiff University

Qian Xiao

Third Hospital of Hebei Medical University

Chaoyu Dong

Shenzhen University

Jianzhong Wu

Cardiff University

Xiaohong Dong

Hebei University of Technology

Wei Wei

AviChina Industry & Technology (China)

Cooperative Institutions

Tianjin University

111

Tianjin University of Technology

Chinese Academy of Sciences

Sun Yat-sen University

North China Electric Power University

Shanghai Electric (China)

China Electric Power Research Institute

Zhejiang University

Harbin Institute of Technology

State Grid Corporation of China (China)

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A simple method for power system stability analysis with multiple time delays

Hongjie Jia Xiaodan Yu

There exist significant time delays in the data of phasor measurement unit (PMU) and wide-area measurement system (WAMS). To properly evaluate the impact of time delay is very important for power system online stability assessment and controller design. In this paper, the maximum delayed time that power system can sustain without losing its stability is denoted as its delay margin. From the viewpoint of Lyapunov stability, when a dynamic system is critical stable at a given equilibrium point, there must exist critical eigenvalue on the imaginary axis. This paper presents a simple method to determine such critical eigenvalue by tracing eigenvalue loci of a transformation matrix. Then the critical eigenvalue is used to determine the delay margin of power system. Comparing with previous approaches, such as Lyapunov function/functional method, LMI method, root clustering paradigm method, the presented method can locate the exact delay margin with no conservativeness and with less computation burden. Moreover, it can be easily applied to the stability analysis of bulk power system with multiple time delays. Finally, single machine and infinite bus system (SMIB) and WSCC 3-generator-9-bus system are employed to validate its effectiveness.

Phasor measurement unit

Linearization

10.1109/pes.2008.4596157

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Citations (29)

CTDAE & CTODE models and their applications to power system stability analysis with time delays

Science China Technological Sciences (2013)

Xiaodan Yu Hongjie Jia Chengshan Wang

Tracing

Algebraic equation

10.1007/s11431-013-5165-x

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Citations (12)

Charging Pricing Strategy of Charging Operators Considering Dual Business Mode Based on Non-Cooperative Game

IEEE Transactions on Transportation Electrification (2025)

Xiaohong Dong Qianyu Si Xiaodan Yu Yunfei Mu Yanqi Ren

At present, the Charge Station Operator (CSO) has invested a lot of money in the construction of charging stations, but it is difficult to make profits due to problems such as competitive pressure and single business mode. Therefore, a charging pricing strategy of CSOs considering dual business mode based on non-cooperative game is proposed. Firstly, the dynamic road network and Floyd algorithm are combined to simulate the travel of electric vehicles (EVs) and predict the spatial-temporal distribution of the charging demand. Secondly, an EV charging station selection and charging quantity decision model considering charging preference is established. Then, considering the business mode of Behavior-Based Pricing (BBP) and service level difference, a CSO charging pricing model based on non-cooperative game is constructed with the goal of maximizing the profits of CSOs. Finally, the effectiveness of the proposed strategy is verified by the simulation based on a regional road network and the IEEE33 node distribution system. The results demonstrate that the proposed strategy can alleviate direct price competition and increase profitability. And the proposed strategy will improve investment enthusiasm among CSOs and meet the diverse charging demand of EV users.

Mode (computer interface)

Dual mode

10.1109/tte.2025.3526598

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Online lithium-ion battery intelligent perception for thermal fault detection and localization

Heliyon (2024)

Luyu Tian Chaoyu Dong Yunfei Mu Xiaodan Yu Hongjie Jia

—Equipping lithium-ion batteries with a reasonable thermal fault diagnosis can avoid thermal runaway and ensure the safe and reliable operation of the batteries. This research built a lithium-ion battery thermal fault diagnosis model that optimized the original mask region-based convolutional neural network based on the battery dataset in both parameters and structure. The model processes the thermal images of the battery surface, identifies problematic batteries, and locates the problematic regions. A backbone network is used to process the battery thermal images and extract feature information. Through the RPN network, the thermal feature is classified and regressed, and the Mask branch is used to ultimately determine the faulty battery's location. Additionally, we have optimized the original mask region-based convolutional neural network based on the battery dataset in both parameters and structure. The improved LBIP-V2 performs better than LBIP-V1 in most cases. We tested the performance of LBIP on the single-cell battery dataset, the 1P3S battery pack dataset, and the flattened 1P3S battery pack dataset. The results show that the recognition accuracy of LBIP exceeded 95 %. At the same time, we simulated the failure of the 1P3S battery pack within 0–15 min and tested the effectiveness of LBIP in real-time battery fault diagnosis. The results indicate that LBIP can effectively respond to online faults with a confidence level of over 98 %.

Thermal Runaway

Battery pack

Feature (linguistics)

10.1016/j.heliyon.2024.e25298

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Citations (5)

Hierarchical management for integrated community energy systems

Applied Energy (2015)

Xiandong Xu Xiaolong Jin Hongjie Jia Xiaodan Yu Kang Li

Smoothing

10.1016/j.apenergy.2015.08.134

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Citations (120)

Planning-Oriented resilience assessment and enhancement of integrated electricity-gas system considering multi-type natural disasters

Applied Energy (2022)

Han Wang Kai Hou Junbo Zhao Xiaodan Yu Hongjie Jia

Resilience

Component (thermodynamics)

10.1016/j.apenergy.2022.118824

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Citations (58)

A Simple Approach to Determine Power System Delay Margin

IEEE Power Engineering Society General Meeting (2007)

Hongjie Jia Xiaodong Cao Xiaodan Yu Pei Zhang

Since there exist significant time delays in the information of phasor measurement unit (PMU) and wide area measurement system (WAMS), it is an important issue to properly evaluate the influence of time delay in power system stability study and controller design. In this paper, we mainly focus on the determination of the maximum time delay that system can sustain without losing small signal stability. Here we denote the maximum time delay as delay margin. Based on Rekasius substitution and Routh stability criterion, a simple approach to determine power system delay margin is introduced in this paper. Rekasius substitution is first used to transfer the system transcendental characteristic equation into a polynomial equation. Then Routh stability criterion is applied to determine the critical eigenvalue, the corresponding oscillation frequency and the system delay margin. Finally, a single-machine-infinite- bus system is employed to do some verification studies. The correctness and effectiveness of the proposed approach are proved. Further, impacts of the exciter gain, generator mechanical output and generator damping to the system delay margin are deeply discussed. It is found that when the value of generation output and exciter gain increase, system delay margin will decrease. While relationship of generator damping and the delay margin is somewhat complex. Smaller generator damping does not mean smaller delay margin. Since time delays widely exist in the WAMS measurement, more studies should be done to properly consider their influence in future.

Exciter

Phasor measurement unit

Phase margin

Elmore delay

Stability criterion

Margin (machine learning)

10.1109/pes.2007.385467

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Citations (43)

Composite generation and transmission system reliability assessment using impact increment-based state enumeration method

Kai Hou Hongjie Jia Xiaodan Yu Yawen Li Chang Xie

An impact increment-based state enumeration (USE) method is designed to assess reliability of composite generation and transmission systems. The reliability index calculation formula of the traditional state enumeration technique is transformed into an impact increment-based formation. Based on the derived equation, the traditional state enumeration method is modified into an impact increment based one. With the proposed method, calculation of state probability are effectively simplified, and reliability indices of high accuracy can be obtained with only low order contingency states. When it is applied to composite systems, load fluctuation can also be considered by replacing impact increments with their expectations under various load levels. Case studies are performed on the RBTS system and the RTS-79 system. Results indicate that annual reliability indices can be efficiently obtained with the USE method. Comparing with traditional state enumeration and Monte Carlo simulation methods, the proposed method is more precise and efficient.

Enumeration

Transmission system

10.1109/pmaps.2016.7764119

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Citations (11)

Improved Load-Sharing Strategy for Multiple Turbine Generators of Offshore Oil and Gas Fields with Offshore Wind Power

Jing Liu Longfei Liu Xiandong Xu Xiaodan Yu Hongjie Jia

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Copy DOI

10.2139/ssrn.4770409

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Citations (1)

Zero-forcing beam-forming and iterarive detection algorithm for multiuser Turbo-BLAST system

Xiaohong Chen Xiangbin Yu Tianzhen Meng Xiaodan Yu Xiaoshuai Liu

The zero-forcing beam-forming algorithm is proposed and the modified iterative detector is presented for the downlink multiuser Turbo-BLAST system in this paper. At the transmitter, the beam-forming scheme based on zero-forcing rule is adopted to maximize the capacity of the desired user. At the receiver, the pretreatment matrix is used to mitigate the multiuser interference (MUI) and the iterative detecting algorithm is designed to cancel the co-antenna interference (CAI). Simulation results show that the newly introduced method is effective to enhance not only the capacity results but also the BER performance of the downlink multiuser Turbo-BLAST system.

Turbo

Turbo code

10.1109/isape.2012.6408729

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Citations (0)