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Energy engineering and Power Systems (EEPS), International Conference on

作者： Xiaodong Yu Xu Ling Jianghui Xi Jiale Wang Weigang Jin Ying Wang Yuan Wang Central China Branch State Grid Corporation of China Wuhan China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan University School of Electrical Engineering and Automation Wuhan China

ISBN: (数字)9798350366914

ISBN: (纸本)9798350366921

Reasonable configuration of reactive power compensation devices can achieve a better effect of suppressing phase-change failure at the same time of relative economy, which is conducive to guaranteeing the safe and stable operation of the multi-dc-fed receiving end power grid. A reactive power compensation optimisation method is proposed to suppress the phase change failure of the LCC-HVdc dc transmission system by studying the phase change failure of the LCC-HVdc dc transmission system and its suppression method. Firstly, the phase-change mechanism of the converter valve is analysed; then, based on the coupling effect of phase-change failure among multiple-feeding dcs, the reactive power compensation siting and capacitance-setting models for suppressing phase-change failure of multiple-feeding dcs at the receiving end are proposed. Finally, the simulation example proves the effectiveness of the proposed optimisation method.

关键词： Couplings Reactive power Analytical models Biological system modeling Power system dynamics Layout Optimization methods Valves Capacitance Power grids

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Probabilistic Power Flow Calculation Based on the Data-Driven Polynomial Chaos Approximation

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Science technology and engineering 2025年第2期25卷 598-609页

作者： Lei, Ao-Yu Jiang, You-Jin Liu, Cheng-Xi Mei, Yong Luo, Yong-Jian Zhen, Hong-Yue CSG Power Dispatch Control Center Guangzhou510663 China School of Electrical Engineering and Automation Wuhan University Wuhan430072 China Hubei Engineering and Technology Research Center for AC / DC Intelligent Distribution Network Wuhan430072 China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou510663 China

In order to analyze the influence of uncertain factors on power system, PCA (polynomial chaos approximation) method, which is both fast and accurate, is widely used in probabilistic power flow calculation. The polynomial chaotic approximation method requires that the probability density function of the random input variable is known, and the random input variable must satisfy the independent condition. A probabilistic power flow method based on DDPCA (data driven polynomial chaos approximation) was proposed for the known random input variables which are historical data. First, DDPCA selects the optimal orthogonal polynomial according to the historical data, and then determines the Gaussian sample considering the nonlinear correlation of random input variables, and then computes the weights with Monte Carlo integral. Then, a small amount of power flow was calculated based on Gaussian samples, and the approximation coefficient was solved according to the power flow results and weights, and then the statistical characteristics of the random output variables were obtained. The proposed method was compared with the point estimation method, and the effectiveness of the proposed method was verified by the results of three examples. © 2025 Beijing Kexue Jishu yu Gongcheng Zazhishe. All rights reserved.

关键词： Gaussian distribution

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Emergency Control Strategy of Power System Considering Operation Scenario Variations

Emergency Control Strategy of Power System Considering Opera...

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Power engineering (ICPE), International Conference on

作者： Yangzhou Pei Jun Yang Binyu Ma Xiaotao Peng Kezheng Jiang Dan Liu Kan Cao Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China State Grid Hubei Electric Power Research Institute Wuhan China

Power system emergency control is the core of the second and third defense lines. The deep reinforcement learning (DRL) based control scheme breaks through the limitations of traditional control strategy simulation calculation methods based physical models, and shows great advantages in dealing with high-dimensional nonlinear system control problems. However, there is a lack of research on dealing with the renewable energy grid-connected power system control problem with operation scenarios variations, especially the frequent topological changes. Based on the DRL method, the under-voltage load shedding (UVLS) emergency control scheme considering the operation scenarios variations is proposed. And the graph convolutional network (GCN) is adopted to learn the representation of power grid topological states and solve the problem of topology feature extraction. Moreover, renewable energy grid-connected scenarios with medium proportion, high proportion and extremely high proportion permeability are set up. Case studies on the modified IEEE 39-bus system are employed to demonstrate the performance and effectiveness of the proposed method.

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Bat Algorithm-Based Shunt active Power Filter for Harmonics Control in PV Grid-Connected Systems Under Nonlinear Load

Bat Algorithm-Based Shunt Active Power Filter for Harmonics ...

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Power and Electrical engineering (acPEE), 5th Asia Conference on

作者： Hashim Ali I. Gony Ghamgeen Izat Rashed Ansumana Badjan O. M. Ahmed Bahageel Hualiang Hualiang Husam I. Shaheen Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan Hubei Province China School of Electrical Engineering and Automation Wuhan University Wuhan Hubei Province China Changsha University Changsha Huhan China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

The increasing prevalence of Nonlinear Loads (NLL) in modern electric grids, particularly in photovoltaic grid-connected systems (PV-GCS), poses challenges with regard to power quality standards. These loads introduce harmonics. In order to guarantee reliable operation, Adequate and effective approaches are needed. emphasizing the importance of addressing these challenges, to ensure the reliability and stability of PV-GCS. This study introduces a novel Bat Algorithm (BA) for mitigating harmonics. BA appears as a powerful technique for reducing distortion in source currents. The BA is carefully employed to achieve accurate suppression of the harmonic components. Furthermore, the algorithm’s dynamic and adaptable nature helps to provide fast response while maintaining high performance and increasing overall system reliability. This unique technique exceeds other approaches such as the Golden Eagle (GE) algorithm by displaying a significant decrease in total harmonic distortion (THD) and dc bus voltage (V dc ) regulation. The MATLAB/Simulink platform is extensively used for evaluation. The demonstrated results provide critical understanding for the performance of PV-GCS and achieve optimal reliability under NLL.

关键词： Total harmonic distortion Heuristic algorithms Stability criteria Harmonic analysis active filters Power system reliability Reliability

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Generation mechanism and influencing factors of transient overvoltage on ultra high-voltage direct current transmission

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Frontiers in Energy research 2025年 13卷

作者： Yao, Weiwei Zhao, Jie Dou, Jinqiu Deng, Youhan Li, Yushu Liang, Yilin Chen, Jing Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination Wuhan China Science and Technology Research Institute China Three Gorges Corporation Beijing China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan University Wuhan China

The transient overvoltage caused by faults in ultra-high-voltage direct current (UHVdc) transmission lines and alternating current (ac) systems can adversely affect system safety and stability. This study theoretically analyzes the transient overvoltage generation mechanism caused by dc single-pole ground faults and typical fault conditions in two different cases by combining the dc line and ac system of the transmitting side. Considering the different generation mechanisms of the two transient overvoltages, the main factors affecting transient overvoltages were determined to be the dc line ground fault location, dc filter main capacitance, ac system short-circuit ratio, and dc transmission power. Finally, through a simulation of UHVdc transmission engineering, the relationship between various influencing factors and overvoltage was obtained, which can provide guidance in transmission engineering UHVdc design. Copyright © 2025 Yao, Zhao, Dou, Deng, Li, Liang and Chen.

关键词： Electromagnetic transients

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Vulnerability analysis of power grid structure based on complex network theory

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Frontiers in Energy research 2024年 12卷

作者： Yang, Zhichun Min, Huaidong Zhao, Jie Dong, Xuzhu Yang, Fan Wang, Chenhao Zhang, Nan State Grid Hubei Electric Power Company Electric Power Research Institute Hubei Wuhan China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China State Grid Hubei Electric Power Co. Ltd. Wuhan Power Supply Company Hubei Wuhan China

Introduction: The key nodes of an intelligent distribution network significantly impact the reliability and stability of the distribution network’s operation. The failure of these key nodes can severely affect the safe operation of the distribution network. Therefore, vulnerability analysis of key nodes is particularly important. Methods: This article proposes a comprehensive weighting method for evaluating indicators,combining the analytic hierarchy process (AHP) and entropy weighting method, while considering the structure and operational status of the power system grid. Key node structural evaluation indicators, such as node degree, node shrinkage centrality, and electric mediator, are established considering "significance" and "destructiveness." State indicators are established based on the degree of impact of current, voltage, and load changes on the grid, as well as the uniformity of their distribution, including the improved current distribution entropy, voltage terre entropy, and three-phase state indicators of lost load. Subsequently, based on the AHP and entropy weighting method, a comprehensive weighting method is proposed to assign subjective and objective weights to the comprehensive evaluation indicators, obtaining the comprehensive weights of the indicators. Finally, the gray correlation degree is introduced to improve the ideal solution of the multi-objective decision making method, obtaining the criticality of the grid nodes and then identifying the critical nodes. Results and Discussion: The example analysis presented in this article shows that the identified critical nodes of the power grid have a high degree of overlap with the identification results of different methods, can better identify edge nodes, and validate the effectiveness of the proposed evaluation indicators and key node identification methods. Copyright © 2025 Yang, Min, Zhao, Dong, Yang, Wang and Zhang.

关键词： AHP comprehensive evaluation indexes comprehensive weights improved TOPSIS method key nodes

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Emergency Blocking Control Strategy Against Power System Cascading Failure Based on Risk Assessment

Emergency Blocking Control Strategy Against Power System Cas...

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Power System and Green Energy Conference (PSGEC)

作者： Yangzhou Pei Jun Yang LuYu Ji JingZhe Tu Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China China Electric Power Research Institute Beijing China

Emergency blocking control is of great significance for blocking cascading failure process and preventing system collapse. An emergency blocking control scheme against cascading failure based on risk assessment is proposed, in terms of maintaining the stability and economy of the power system. Firstly, the cascading failure involving the renewable generators is simulated, integrating the dc power flow, the line operation reliability model, and the hidden fault of the relay protection device. Then, the average load loss index by simulating multiple system cascading failure is obtained. Based on the calculated operation risk, the double dueling deep q network (D3QN) based reinforcement learning framework for emergency blocking control scheme is designed. And the prioritized experience replay mechanism is selected for learning improvement. Finally, case study on the IEEE 36-bus system is carried out to verify the effectiveness of the proposed method.

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Predictive Modelling of Base Station Energy Consumption:Insights and Application of STL-LSTM networks

Predictive Modelling of Base Station Energy Consumption:Insi...

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Power and Electrical engineering (acPEE), 5th Asia Conference on

作者： Ansumana Badjan Ghamgeen Izat Rashed Hashim Ali.I. Gony Ahmed O. M. Bahageel Fang Hualiang Husam I. Shaheen Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan Hubei Province China School of Electrical Engineering and Automation Wuhan University Wuhan Hubei Province China Changsha University Changsha Hunan China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

The increasing demand for wireless communication services has led to a significant growth in the number of base stations, resulting in a substantial increase in energy consumption. Understanding and predicting base station energy consumption is important for optimizing energy usage and developing sustainable communication networks. This study introduces a predictive modeling approach for base station energy consumption by combining Seasonal and Trend decomposition using Loess (STL) and Long Short-Term Memory (LSTM) networks. The methodology involves decomposing the historical data into seasonal, trend, and residual components using STL. LSTM is then utilized to model the relationships between these components, capturing complex temporal dependencies and enabling accurate prediction of future energy consumption based on traffic and network load patterns. Experimental results demonstrate the effectiveness of the proposed STL-LSTM approach, outperforming traditional forecasting models and providing valuable insights into base station energy consumption dynamics.

关键词： Wireless communication Energy consumption Base stations Predictive models Market research Data models Reliability

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Market Control Strategies for Cooperative Participation of Photovoltaic Storage Charging Stations in Peaking Auxiliary Services 4

Market Control Strategies for Cooperative Participation of P...

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4th Energy Conversion and Economics Annual Forum, ECE Forum 2024

作者： Shi, Yihui He, Le Xia, Huaimin Tang, Dingchao Zhu, Wei Chen, Shuang Yin, Zhengsheng Yu, Xinyue State Grid Hubei Electric Power Co. Ltd. Wuhan China Wuhan Charging and Swapping Public Facilities Management Co. Ltd. Wuhan China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China School of Electrical Engineering and Automation Wuhan University Wuhan China

ISBN: (纸本)9781837242627

The prospect of adjustable loads participating in the peaking market is promising, given the continuous access to renewable energy sources such as wind power, photovoltaics, and user-side flexible loads. In light of the aforementioned considerations, this paper explores the potential of photovoltaic storage and charging systems (PSCS) to contribute to the peaking strategy of the power auxiliary service market. Firstly, a comprehensive framework is developed, comprising an objective function and constraints, through the establishment of a two-layer model of optical storage and charging cooperative participation in the peaking auxiliary service market. Subsequently, the economic and efficient scheduling of peaking services is achieved by optimizing the overall revenue of optical storage and charging and the cost of electric vehicle users, respectively. Finally, an illustrative example is presented to validate the model in a peaking market in a region of North China, with the participation of multiple load aggregators in the peaking situation. The results demonstrate the efficacy of the model and identify the regulatory strategy for the coordinated participation of PSCS in peak shifting. This provides a theoretical and empirical foundation for the participation of multiple types of load aggregators in the peak shifting market. © The Institution of engineering & technology 2024.

关键词： Auxiliary service for peak regulation Bilevel optimization Load aggregator Photovoltaic storage charging station Regulation strategy

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A Flexible Dual-mode Switching Strategy for Grid-connected Energy Storage Considering Fault Ride Through Capability and Support for ac Microgrid Stability

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IEEE Transactions on Energy Conversion 2025年

作者： Wang, Li Zhou, Ningting Shu, Yi Zeng, Xiangjun Zhao, Bin Zhao, Jie Jiang, Yuxiang Changsha University of Science and Technology School of Electrical and Information Engineering Changsha410114 China State Key Laboratory of Disaster Prevention and Reduction for Power Grid Changsha China Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan430072 China

The substantial integration of renewable energy sources, specifically photovoltaic (PV) power into the power grid, has gradually weakened its strength. A novel switching control for a PV storage system with a GFL/GFM control structure was proposed in response to this challenge. By leveraging integrators and the state follower method, a smooth switching control strategy between these two control modes was facilitated, ensuring stable operation across varying grid strengths. Through employing the Kuramoto model and basin stability method, the parameter stability domain of the microgrid under GFM control was delineated, and the switching boundary was established based on the short-circuit ratio. Additionally, recognizing the requirements of stable operation for PV storage systems under grid faults, a fault ride through control method with a negative sequence current suppression strategy was proposed. This method effectively suppressed negative sequence current under GFM control. Subsequently, simulation-based validation confirmed the effectiveness of the proposed control strategies. It ensured the smooth operation of the PV storage system under a gamut of conditions, including symmetric and asymmetric faults, as well as islanding scenarios. The proposed control strategies ensure that the dc bus remains stable and that the current distortion rate does not exceed 5% during faults. © 1986-2012 IEEE.

关键词： Charge storage

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