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Value Set-Based Method for Solving Stability Boundary of Systems With Uncertain Time Delays

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2025年 22卷 12213-12227页

作者： Ye, Hua Shi, Xiubao Chu, Xiaodong Liu, Yutian Sun, Shumin Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Shandong Res Inst Ind Technol Jinan 250101 Peoples R China State Grid Shandong Elect Power Res Inst Jinan 250003 Peoples R China

Existing methods for computing stability boundary of systems with multiple uncertain time delays are either conservative or suffer from low computational efficiency. Addressing this challenge, a value set based method is proposed to solve stability boundary for time delays with high efficiency. Firstly, the characteristic quasi-polynomial of the system is constructed in the periodic multiplication between frequency and time delays (FDM) space. Subsequently, the characteristic quasi-polynomial is transformed by the value set approximations, which is then refined through parameter space subdivision to achieve the required accuracy. Finally, the stability boundary is solved by traversing the parameter space with a bisecting step size. This method is characterized by its efficiency without introducing conservativeness, which is achieved through the decreasing step size space traversal. Numerical examples and a case study based on a microgrid with three distributed generators (DGs) that introduce communication delays are served to validate the accuracy and *** to Practitioners-This paper proposes a value set based method to solve stability boundary of the system with multiple uncertain time delays. The method is developed based on the necessary and sufficient criteria. The method leverages the periodicity of FDM and employs a variable step traversal algorithm to decrease the computational burden and achieve high efficiency. Notably, this method can be used for systems with multiple time delays, regardless of the range or quantity of the delays. This method is effective for analyzing systems with multiple time delays, offering support for controller design and enhancing system stability.

关键词： Delay effects Numerical stability Stability criteria Delays power system stability Asymptotic stability Accuracy Mathematical models Vectors Uncertainty Small signal stability time delay stability boundary uncertainty value set method zero exclusion principle microgrid

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Reactive power dispatch method for wind farms based on dynamic weight adjustment of electrical distance and reactive power capacity

Sustainable Energy Research

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Sustainable Energy Research 2025年第1期12卷 1-9页

作者： Wu, Guodong Li, Xiaohu Zhang, Ruixiao Bao, Guangqing Tan, Hongtao College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou730050 China Power Dispatch Center of State Grid Gansu Electric Power Company Lanzhou730030 China School of Electronics and Information Engineering Southwest Petroleum University Chengdu610500 China

To meet the requirements of real-time reactive power dispatch in wind farms, the method based on equal ratio of reactive power capacity is widely used, because it does not need power flow modeling and iterative solution. However, this method may cause the wind turbines (WT) with a long electrical distance to allocate too much reactive power, resulting in the terminal voltage exceeding the limit. Therefore, this paper proposes a reactive power allocation method based on dynamic weight adjustment of inverter capacity and electrical distance. First, the impact of WT power output on the voltage of each node in the system at different electrical distances was analyzed. Then, establish a reactive power dispatch model that takes the remaining capacity of the converter and electrical distance factors into account, and the weight coefficient between the two is dynamically adjusted based on voltage deviation by combining the idea of disturbance observation, achieve rapid distribution of reactive power commands without relying on detailed power flow modeling of the system. Finally, a 5 MW*25 wind farm case is used to verify the proposed method. The results show that the proposed method can effectively reduce the voltage deviation by more than 30% under the same reactive power scheduling instruction, and can improve the reactive power utilization of the wind farm. © The Author(s) 2025.

关键词： Windmill

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Securing Distributed power dispatching Systems: A Framework for Cybersecurity and 5G Integration

Securing Distributed Power Dispatching Systems: A Framework ...

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power Electronics, Computer Applications (ICPECA), IEEE International Conference on

作者： Xiao Zhang Yuxiong He Yuhong He Power Dispatch Control Center State Grid Hubei Electric Power Co. Ltd. Wuhan China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

With the increasing integration of distributed energy resources (DERs) into power grids, the security of distributed power dispatching control systems becomes a critical concern. This paper presents a comprehensive security framework to address the unique challenges posed by these systems. The study focuses on four key areas: (1) security partitioning strategies, (2) layered network security defense architecture, (3) 5G-based secure communication for distributed power dispatching systems, and (4) security monitoring and emergency response technologies. The proposed solutions aim to mitigate cyber threats and enhance the resilience of distributed power dispatching control systems in modern power grids.

关键词： 5G mobile communication Computer architecture power system stability Emergency services control systems dispatching Stability analysis Security Monitoring Resilience

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Research on Network Security Protection Technologies of Distributed power dispatch control System on Main Station Side

Research on Network Security Protection Technologies of Dist...

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power Electronics, Computer Applications (ICPECA), IEEE International Conference on

作者： Xiao Zhang Xiaoming Chen Wenlu Zhang Power Dispatch Control Center State Grid Hubei Electric Power Co. Ltd. Wuhan China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

The integration of distributed power sources into modern power grids has introduced significant network security challenges to Distributed power dispatch control Systems (DPDCS). These systems are critical for managing distributed energy resources (DERs), requiring real-time communication and coordination between control centers and distributed terminals. However, the openness and interconnectivity of DPDCS expose them to a variety of network security risks, including unauthorized access, malicious software attacks, and data breaches. This paper addresses the network security protection technology for the master side of DPDCS, focusing on software vulnerabilities, protocol interactions, device control, and security event analysis. We propose comprehensive solutions for network security recognition, vulnerability detection, information interaction security, and device state management. By employing state-of-the-art methods such as anomaly detection, automated vulnerability scanning, and multi-dimensional data analytics, this study aims to establish a robust foundation for securing distributed power dispatch systems. The implementation of these solutions is crucial for ensuring the stability and security of DPDCS in open interactive business environments.

关键词： Network security power system stability control systems Stability analysis Distributed power generation Software reliability Smart grids Protection Anomaly detection Resilience

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Physical Intrusion Attack Detection in Fieldbus Network With Passive Fail-Safe Biasing

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IEEE Transactions on Automation Science and Engineering 2025年 22卷 14008-14019页

作者： Wang, Xiangming Liu, Yang Yu, Nanpeng Liu, Pengfei Deng, Nanyi Li, Yanan Liu, Ting Xi’an Jiaotong University School of Cyber Science and Engineering MoE KLINNS Laboratory Xi’an710049 China University of California at Riverside Department of Electrical and Computer Engineering RiversideCA92521 United States Xi’an Thermal Power Research Institute Company Ltd. Power Infrastructure Cyber Security Research Center Xi’an710054 China Electric Power Dispatch and Control Center of Guangdong Power Grid Company Ltd. Guangzhou510699 China

Fieldbus is widely used for real-time distributed control in Industrial control Systems (ICSs) due to its simplicity and stability. The real-world fieldbus network contains hundreds of interconnected devices, presenting a widespread network layout. Attackers can attach external intrusion devices to these communication lines to launch various attacks. In this paper, we model the fieldbus network’s channel fingerprint based on the signal’s amplitude and propose a detection method to identify potential attackers (silent intrusion devices that are eavesdropping) via channel fingerprint differences. Leveraging the passive fail-safe biasing voltage in the fieldbus network such as RS485, we can still detect the intrusion device when the fieldbus is idle (i.e., no devices are transmitting commands), which can significantly reduce the detection delay with lower sampling costs. Moreover, our method can adapt to environmental changes with little computational overhead by generating dynamic thresholds. Using a monitoring unit with stored channel fingerprints, our method can be easily deployed in fieldbus networks without occupying communication resources. The effectiveness and robustness of the proposed method have been demonstrated via extensive experiments on two real-world scenarios and one simulation scenario, where we can achieve 100% accuracy and 0% false alarm rates against various intrusion devices. © 2004-2012 IEEE.

关键词： Network intrusion

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Short-Term power Load Forecasting Based on DPSO-LSSVM Model

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IEEE Access 2025年 13卷 32211-32224页

作者： Ji, Shujun Zhang, Linhao Wang, Jinteng Wei, Tao Li, Jiadong Ling, Bu Xu, Jinglong Wu, Zuoping State Grid Hebei Marketing Service Center Marketing Business Quality Control Center Shijiazhuang050000 China Beijing China-Power Information Technology Company Ltd. New Technology Division Beijing100085 China

The accurate prediction of short-term power load is a critical element for maintaining the normal and stable operation of the power system. For short-term power load forecasting, the collected power load data is preprocessed to quantify temperature, weather, and date types. A short-term load forecasting model based on least squares support vector machine is constructed, and the optimal parameters of the model are established. The dynamic particle swarm optimization algorithm is utilized to dynamically adjust the parameters to achieve higher accuracy in load forecasting. The findings denoted that the average absolute percentage error of the least squares support vector machine model using linear kernel function is only 3.75%, the average absolute error is only 256.38MW, and the root mean square error is only 311.20MW. The mean absolute percentage error of the proposed model is only 1.91%, significantly lower than other advanced models. The developed model has stronger adaptability and higher prediction accuracy in dealing with the complexity and dynamic changes of power load data, providing effective technical support for the operation optimization and decision-making of the power system. © 2025 The Authors.

关键词： Particle swarm optimization (PSO)

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Scheduling Large-Scale Renewable Energy: Through Cross-Regional Generation-Load Balancing

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IEEE power & ENERGY MAGAZINE 2025年第3期23卷 44-52页

作者： Zhong, Haiwang Yu, Zekuan Wang, Xuan He, Yutong Zhou, Baorong Liang, Zhifeng Kammen, Daniel M. Kang, Chongqing Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Operat & Control Beijing 100084 Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Southern Power Grid Res Inst Guangzhou 510663 Guangdong Peoples R China Natl Power Dispatch & Control Ctr Beijing 100086 Peoples R China Univ Calif Berkeley Berkeley CA 94720 USA

Because of the geographical distribution of renewable energy resources, the regional mismatch of renewable energy production and electricity consumption is now a logistical and a planning challenge in power systems worldwide. Interregional and intraregional generation-load balancing is an emerging techno-management strategy that offers an effective and economical means of scheduling large-scale renewable energy. In this article, we introduce multiple practices of cross-regional power system operation and market organization with large-scale renewable energy around the world, and in China specifically. An overview of key technologies, including the modeling and operation of interregional tie lines, coordinated optimization algorithms, and new resources of flexibility on the demand side, is presented. This evolving planning-engineering-operational nexus of theory and practice provides significant insights into the challenges and prospects of scheduling large-scale renewable energy for regional decarbonization through cross-regional operations and transaction.

关键词： Renewable energy sources Schedules Uncertainty Production Organizations Scheduling Real-time systems power markets power systems Security

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Experimental Research on the Influence of Lightning Arrester Response Characteristics in HEMP Environment

Experimental Research on the Influence of Lightning Arrester...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Lei, Liu Ruihan, Qi Ruifa, Feng Junyang, Tian Lianpian, Jiang Zizheng, Shen State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China Power Dispatching and Control Center of Guangxi Power Grid Co. Ltd. Nanning China

ISBN: (纸本)9789819618675

The high-altitude electromagnetic pulse (HEMP) generated by a nuclear explosion in the outer atmosphere poses the most serious threat among all electromagnetic pulses due to its wide coverage (radius in thousands of kilometers), high attack intensity, and multiple destructive targets. However, there is currently no real experimental research on the impact of HEMP on the power grid, and the law of the impact of HEMP on the power grid is still in the early stage of research. This article will conduct a true type test on the HEMP response characteristics of lightning protection equipment in the power grid. Based on the response time of lightning arresters to lightning currents, this study experimentally investigates the response characteristics of lightning arresters when HEMP induce instantaneous high currents in wires. Based on the experimental results, the effectiveness of existing lightning arresters in responding to electromagnetic pulses is analyzed, and improvement suggestions for the response time of lightning arresters to HEMP are proposed. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Electromagnetic pulse

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Improving Day-Ahead Electricity Price Forecasting Accuracy in Australia’s National Electricity Market with Kolmogorov-Arnold Networks

Improving Day-Ahead Electricity Price Forecasting Accuracy i...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： He, Yubin Xu, Mingze Hu, Yaping Gu, Huijie Xie, Xinglang Lei, Shunbo Power Dispatch and Control Center China Southern Power Grid Guangdong Guangzhou510530 China School of Science and Engineering The Chinese University of Hong Kong Guangdong Shenzhen518172 China Digital Grid Research Institute China Southern Power Grid Guangdong Guangzhou510600 China Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen518172 China

ISBN: (纸本)9789819618552

Accurate day-ahead electricity price forecasting is crucial for both power companies’ interests and systems’ stability. However, it faces numerous challenges due to various uncertainties, especially the increasingly frequent extreme weather events. Australia’s National Electricity Market (ANEM) experiences the highest price volatility. To improve the forecasting accuracy in ANEM, this paper proposes a residual electricity price forecasting method with Kolmogorov-Arnold Networks (KAN) for day-ahead 30-min electricity price pre-diction. Unlike the Multi-Layer Perceptron (MLP), KAN includes learnable activation functions and shifts the previous learning from points to edges, making it more sensitive to features. Thus, KAN can capture more complicated nonlinearities of electricity prices in ANEM. Furthermore, we use discrete Fourier transform to create activation functions to reduce the effects of wild price swings and ensure a stable learning process. Our experimental results, based on actual electricity price data from the Australian Energy Market Operator, demonstrate that our method is more accurate than the traditional MLP approach. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Discrete Fourier transforms

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A Time Space Feature Extraction Method for Scene Analysis Based on Spectral Clustering Theory

A Time Space Feature Extraction Method for Scene Analysis Ba...

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Electrical Automation and Artificial Intelligence (ICEAAI), International Conference on

作者： Wangchao Dong Jingjing Wang Xu Wu Xun Mao Kai Lv State Grid Anhui Electric Power Research Institute Hefei China Electrical Dispatch Control Centre State Grid Anhui Electric Power Co Hefei China

ISBN: (数字)9798331506797

ISBN: (纸本)9798331506803

A method for extracting time space feature volume of power system scenes based on spectral clustering is proposed. Through downscaling and correlation processing of massive high-dimensional data, massive variables with both temporal and spatial characteristics dispersed in the power grid are clustered according to the similarity of their influence on the operation mode, and the time space feature volume applicable to the analysis of the power grid scenario is extracted. Classification and screening based on the extracted feature quantities, generating scenario patterns classified in time and space scales, and predicting the short-term operation mode of the power grid by analyzing historical electricity consumption data and multiple influencing factors

关键词： Fault diagnosis Technological innovation Systems operation Clustering algorithms Optimal scheduling Feature extraction Market research power grids Computational efficiency Data mining

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