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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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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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research on the Generation Method of Power Grid Partitioning Schemes Under the Background of High Proportion of New Energy Integration

Research on the Generation Method of Power Grid Partitioning...

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Energy Systems and Electrical Power (ICESEP), International Conference on

作者： Zijing LU Zishou Lil Jun Tang Hongkun Chen State Grid Hubei Electric Power Co. Ltd State Grid Corporation of China Wuhan Hubei China School of Electrical Engineering and Automation Wuhan University Wuhan Hubei China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan University Wuhan Hubei China

ISBN: (数字)9798350353563

ISBN: (纸本)9798350353570

Power grid partition is utilized widely for simplifying network structure, facilitating system monitoring and scheduling, and is an inevitable trend in development of large power grid. However, in the context of large-scale new energy integration, the uncertainty and volatility of its output have a significant impact on the operational characteristics of the power grid. Aiming at the shortcomings of traditional power grid partitioning methods that do not consider the impact of new energy integration, a generation method of power grid partitioning schemes considering the background of new energy integration is proposed. Firstly, a typical set of new energy output scenarios is obtained based on scenario generation and scenario reduction; Afterwards, the definition of electrical distance is given, the electrical distance matrix of the network is constructed, and a correction coefficient is defined based on the typical scenario set of new energy output to modify the electrical distance matrix. Then, the Dijkstra algorithm is used to expand it to the full dimensional electrical distance matrix; Finally, affinity propagation algorithm is used to complete the power grid partitioning, and a case study is conducted on an improved IEEE 39 node system to verify the effectiveness and rationality of the proposed method.

关键词： Renewable energy sources Uncertainty Affinity propagation Market research Power grids Partitioning algorithms Scenario generation

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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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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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A Novel Collector network Equivalent Method and Trajectory Sensitivity Based Parameter Equivalent Method for Wind Farm

A Novel Collector Network Equivalent Method and Trajectory S...

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IEEE General Meeting Power& Energy Society

作者： Huiji Wang Jian Xu Deping Ke Ting Cui Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China Electric Power Research Institute State Grid Hunan Electric Power Co. LTD Changsha China

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

With the large-scale integration of wind power, there is an urgent need for the equivalent model of wind farm in order to reduce the dimension of wind farm model and improve the simulation efficiency under the premise of ensuring the accuracy. Firstly, this article proposes a novel collector network equivalent method that guarantees the voltage characteristics of each wind turbine (WT) grid-connected point before and after the equivalence by adding the ideal phase-shifting transformer, and the equivalent collector network is obtained by the network transformation containing Ward equivalence, the conversion of H-parameters and Y-parameters of multi-port network and the transformer π-type equivalence. Then, a wind farm parameter equivalent method based on trajectory sensitivity is derived, in which WT parameters are differentiated into key parameters that can be calculated by the parameter estimation and general parameters that can be obtained by the capacity weighted method (CWM) and the typical value method (TVM). Finally, the effectiveness of the proposed methods is verified by the electromechanical transient simulation in a practical case in Chenzhou, China.

关键词： Sensitivity accuracy Parameter estimation Voltage Wind farms Wind power generation Transformers Trajectory Wind turbines Transient analysis

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Data Augment Method for Power System Transient Stability Assessment Based on DeepSMOTE

Data Augment Method for Power System Transient Stability Ass...

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Power engineering (ICPE), International Conference on

作者： Binyu Ma Jun Yang Jinpeng Shen Yangzhou Pei 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 School of Electrical Engineering and Automation Wuhan University Wuhan University Wuhan China State Grid Hubei Electric Power Research Institute Wuhan China

Data-driven transient stability assessment (TSA) method has become the focus of power system stability and security research in recent years. However, in actual power system, transient unstable data only accounts for a small portion of all data. Unbalanced data is not conducive to the machine learning model's judgment of instability situations. A data augment method based on DeepSMOTE is proposed to generate high-quality unstable datasets. Then, an extreme learning machine (ELM) classifier is used to select the generated dataset with the highest G-mean value, which is used to fuse with the original dataset to construct a balanced dataset with a similar number of transient stability and instability samples. Finally, TSA is implemented based on the balanced dataset. It has been verified in the modified IEEE 39-bus system simulation example containing new energy that DeepSMOTE can effectively generate data that follows the distribution characteristics of the original data of power system, thereby improving the recognition rate of unstable samples in TSA. Moreover, it has strong robustness under wide area noise and effectively balances power system instability data.

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Simulation analysis of primary frequency modulation parameters optimization of PWR nuclear power unit

Simulation analysis of primary frequency modulation paramete...

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Smart Grid and Energy Internet (SGEI), International Conference on

作者： Jie Zhao Pingchao Zhou Wentao Sun Haocheng Wu Libin Wen Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China State Grid Jiangsu Economic Research Institute Nanjing China Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning China

ISBN: (数字)9798350368314

ISBN: (纸本)9798350368321

nuclear power plant(NPP) model for power system simulation is established, which includes reactor core system(RCS) and thermodynamic system model, steam turbine model and speed governing system model. Based on the NPP dynamic model, the response characteristics of nuclear power unit core system under different primary frequency modulation parameters are analyzed with difference frequency regulation dead band, limit value and difference coefficients parameters. Based on the transient energy function, the influence of frequency regulation parameters, such as dead band, amplitude limit and the difference coefficient, on the stability of the power grid is analyzed quantitatively. Considering the requirements of nuclear power plant safety and grid stability, an optimization scheme of primary frequency regulation parameters of nuclear power unit is proposed.

关键词： Frequency modulation Limiting Power system stability Stability analysis Inductors Thermal stability Frequency control Optimization Power generation Turbines

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Multi-Objective Deployment Optimization of Black-Start Units Considering Recovery Risks and Critical Loads

SSRN

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SSRN 2023年

作者： Zhao, Jie Zhang, Yiyang Zhang, Mingcheng Song, Xudong Huang, Jinhua Fang, Yudi He, Fugeng Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan430072 China Electric Power Research Institute of Guangdong Power Grid Corporation Guangzhou510000 China

In actual black start recovery, the requirement for recovery reliability is often the highest. If a disturbance occurs during the recovery of the unit to be started resulting in unit start-up failure, it will cause secondary damage to the grid and bring serious losses. To consider the multi-objective deployment optimization of Black-start units supply for unit recovery risk and important load recovery. Firstly, the influencing factors leading to unit recovery failure in the black start process are analyzed, including no-load line charging, transformer excitation inrush, auxiliary start failure and permanent fault in the line;the above influencing factors are classified and quantified, and the unit recovery risk optimization target is proposed based on the affiliation function and Monte Carlo sampling method to calculate the unit recovery failure rate;based on the greedy algorithm strategy for load in the black start phase Then, we construct a unitsmulti-objective optimization mathematical model for black-start units supply, which integrates unit recovery risk, important load recovery degree and black-start recovery time, and solve it based on NSGA-II multi-objective optimization algorithm;finally, we simulate the IEEE-118 node case, and verify different black-start units supply deployment schemes by comparing and analyzing them. Finally, the IEEE-118 node simulation is performed to verify the effectiveness of the proposed method by comparing and analyzing different black-start units deployment schemes. © 2023, The Authors. All rights reserved.

关键词： Recovery

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Coordinated Optimal Scheduling of Power System with Wind Power Considering the Flexibility Space of Energy-intensive Load and Pumped Storage

Coordinated Optimal Scheduling of Power System with Wind Pow...

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Power Systems and Electrical technology (PSET), IEEE International Conference on

作者： Lingfang Li Xiaoyu Yue Xuehao He Jiaquan Yang Ruxiang Pan Siyang Liao Power Grid Planning and Construction Center Yunnan Power Grid Corporation Ltd Yunnan China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China Electric Power Research Institute Yunnan Power Grid Corporation Ltd Kunming China

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

Insufficient peak regulation capacity in the power system limits wind power integration. Energy-intensive industrial loads and pumped storage stations offer substantial capacity and rapid adjustment, yet their potential remains underutilized. This study proposes a coordinated optimization method considering both factors. It analyzes the flexible regulation of energy-intensive loads, establishes their regulation model, and similarly for pumped storage, considering its flexibility margin. Additionally, it creates a multi-resource coordination optimization model, factoring in the economic aspects of thermal power deep peak shaving. Tested on a typical system, the proposed model can significantly reduce the wind curtailment rate of the system, greatly reduce the total operating cost of the system, and improve the economy of thermal power. Meanwhile, the utilization rate of the pumped storage unit is improved, the potential of energy-intensive load regulation is excavated, and the peak load regulation structure of the system is reasonably optimized.

关键词： Wind Costs Thermal factors Optimization models Wind power generation Excavation Regulation Power system reliability Reliability Load modeling

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