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Energy, power and Electrical Engineering (EPEE), International Conference on

作者： Liang Tu Libin Huang Haiping Guo Binjiang Hu Jingyue Zhang Hui Luo China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of DC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. Simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of ${6 2 \%}$ to ${6 7 \%}$ and reduces the steady-state error in fault current simulation by ${0 . 8 \%}$ to ${1 . 9 \%}$.

关键词： Training Computational modeling Wind speed Current measurement Wind farms Data models Wind turbines Steady-state Transient analysis Particle swarm optimization

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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International Conference on power system Technology (powerCON)

作者： Yinjuan Xue Qifang Chen Haiqing Cai Mingchao Xia Haohan Gu School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of HVDC Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid Guangzhou China

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples.

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Active Support Performance Test of Grid-connected Photovoltaic system Based on Grid-forming control

Active Support Performance Test of Grid-connected Photovolta...

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Intelligent power and systems (ICIPS), International Conference on

作者： Xinze Xi Yun Hu Chao Xing Qi Guo Shoudong Xu Liang Tu Peng He Yihua Zhu Mingzhang Su Chao Luo Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

With the continuous increase penetration of new energy, the integration of grid-following (GFL) converter is prone to frequency stability issue, while the utilization of grid-forming (GFM) converter with active support capability has become an inevitable trend in development. In this paper, the model of grid-connected photovoltaic system using GFL/GFM control is established. The support characteristic of GFM is compared and analyzed in different testing scenarios with GFL as the reference: (1) Small disturbance test (2) Large disturbance test (3) Island capability test. Finally, the active support performance of the system is quantitatively analyzed based on corresponding evaluation indexes.

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A Transient Voltage Stability Preventive control Strategy for DC Receiving-end power system

A Transient Voltage Stability Preventive Control Strategy fo...

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IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Lian Tu Shuiping Zhang Hengdao Guo Bo Bao Yihua Zhu Jian Zuo China Southern Power Grid Power Dispatch and Control Center of Guangdong Power Grid Co. Ltd China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China National Energy Power Grid Technology R&D Centre China Operation and Control for New Energy Power System Guangdong Provincial Key Laboratory of Intelligent China

With the increase of DC feed power and the decrease of the number of synchronous machines, receiving-end power system takes a serious threat to the transient voltage stability. Therefore, a transient voltage stability preventive control strategy for DC receiving-end power system is proposed in this paper. The whole method is decomposed into three sub-problems: transient voltage stability assessment, sensitivity computation and optimal control. A transient voltage stability index suitable for the sensitivity method is used to construct the transient voltage stability constraints. The accuracy and efficiency of the solution algorithm are improved by limiting the effective control interval of sensitivity and selection of the initial control set. The method has been applied in a provincial power grid in southern China. The results verifies the effectiveness of the proposed method.

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Adaptability Study on Out-of-Step Separation Devices of Complex Multiinfeed AC/ DC power systems

Adaptability Study on Out-of-Step Separation Devices of Comp...

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2021 International Conference on power system Technology, powerCON 2021

作者： Chen, Yong Chang, Dongxu Zhu, Yihua Zhu, Yukun Guo, Hengdao Li, Shengnan Electric Power Research Institute Ltd. of Yunnan Power Grid Co. KunMing China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China

ISBN: (纸本)9781665407373

The power flow distribution of the GuangxiGuangdong AC transmission section (GX-GD section) has changed greatly as Kunliulong and Lugaozhao three-terminal HVDC projects have been put into operation, and it is necessary to study on the adaptability of out-of-step separation devices. Based on the real primary system, an equivalent system model is proposed in this paper which can accurately locate the oscillation center and calculate the minimum voltage at the measuring point. Dynamic real-time simulation is carried out for various types and different principles of out-of-step separation devices. Typical problems such as unreliable out-of-step locking criterion in the fault process and device refusing to move when the oscillation center is located at the device installation point are found and solved At the same time, based on the power grid panoramic simulation test technology and the actual configuration of out-of-step separation devices, the problems in the coordination of out-of-step devices near the GX-GD section are comprehensively studied, and the suggestions of putting the wide area out-of-step separation system into operation as soon as possible are put forward. The improvement and optimization measures proposed in this paper have been applied in the real system. © 2021 IEEE.

关键词： Electric load flow

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Unraveling Plasma Characteristics and Breakdown Mechanism in Nanosecond Pulsed Dielectric Barrier Discharge

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IEEE Transactions on Dielectrics and Electrical Insulation 2025年

作者： Li, Mengbo Chen, She Cui, Yingzhe Wang, Qiao Liu, LinLin Zhou, Xuan Zhuang, Chijie Wang, Feng Hunan University College of Electrical and Information Engineering Changsha410082 China Department of Electrical Engineering Tsinghua University Beijing100084 China China Electric Power Planning & Engineering Institute Beijing100120 China School of Electric Power South China University of Technology Guangzhou510641 China State Key Laboratory of Disaster Prevention & Reduction for Power Grid Changsha University of Science & Technology Changsha410114 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

Nanosecond-pulsed dielectric barrier discharges (DBDs) have gained significant attention for its promising applications in various fields. More systematic investigations are necessary to better understand the fundamental processes of pulsed DBD. In this study, the characteristics and the initial breakdown mechanism of atmospheric nanosecond-pulsed DBD are investigated. The Electric Field-Induced Second Harmonic (E-FISH) technique is employed to investigate the electric field within the discharge gap. Additionally, the effects of pulse amplitude and pulse repetition rate on discharge characteristics, particularly the electric field, are analyzed. The results indicate that an increase in pulse amplitude leads to higher breakdown currents and a more pronounced reverse electric field peak, whereas the pulse repetition rate has a minimal effect on discharge behavior. A two-dimensional fluid model is developed to simulate discharge dynamics and analyze the spatiotemporal evolution of particles. Based on both experimental and simulation results, the discharge process is characterized by three distinct stages: Stage I (discharge breakdown), Stage II (surface charge accumulation), and Stage III (surface charge neutralization). The breakdown mechanism is further elucidated by examining the role of residual charges near the dielectric layer, which enhance the local electric field and facilitate the generation of secondary electrons, leading to ionization and subsequent discharge establishment. © 2025 IEEE.

关键词： Dielectric barrier discharge

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Active Thermal control of Grid-Forming Converters Based on DC-link Voltage Synchronization

Active Thermal Control of Grid-Forming Converters Based on D...

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IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Mingqun Liu Guanming Zeng Xin He Liang Tu Peng He Yihua Zhu Electric Power Research Institute Yunnan Power Grid Co. Ltd. Kunming Yunnan State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

Grid-forming control, as a key technology for building new power systems, enables inertia and damping characteristics of converters to actively support grid frequency and voltage. However, GFM-based converters are often required to generate short-circuit currents in excess of the rated value to support grid voltage recovery during transient faults, which poses a greater challenge to their electro-thermal stresses. At the same time, the over-issuance of short-circuit current will lead to the aggravation of junction temperature fluctuation, which will shorten the lifetime of the power devices and bring new challenges to their reliability. Based on the above problems, this paper firstly establishes a corresponding electrothermal coupling model for the GFM converter synchronized based on DC voltage. Subsequently, an active thermal control technique based on the adaptive adjustment of switching frequency is proposed, which can not only reduce the junction temperature of the power device under the same short-circuit current amplitude, but also further reduce the junction temperature fluctuation of the power device. Finally, the corresponding circuit as well as thermal circuit models are established by simulation software to verify the effectiveness of the strategy.

关键词： Adaptation models Fluctuations Switching frequency Short-circuit currents control systems Temperature control Junctions Transient analysis Voltage control Grid forming

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An Equivalent Modeling Method for Integrated Hydro-Photovoltaic-Wind systems Based on Particle Swarm Optimization and Neural Networks

An Equivalent Modeling Method for Integrated Hydro-Photovolt...

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Intelligent power and systems (ICIPS), International Conference on

作者： Ying Huang Yuanhong Lu Yanjun Zhao Yufeng Hu Jie Zhang Haiping Guo State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 510663 China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

The fault transient characteristics of power grids have undergone a fundamental transformation as a consequence of the advent of hybrid scale access to power grids by new energy sources. Nevertheless, the existing stand-alone equivalent model is unable to accurately characterise the fault transient characteristics of the hybrid light-water-wind electric field/cluster. Furthermore, the simulation computation of the stand-alone equivalent model is considerable in scale and the simulation efficiency is low. This paper proposes a particle swarm neural network-based clustered equivalent modelling method for a light-water-wind hybrid electric field. Firstly, a transient model of the light-water-wind hybrid electric field is established, and the characteristic influence factors of faults are constructed through theoretical analysis. These include the distance between the light-water-wind hybrid electric field and the point of common coupling (PCC), the input of current limiting measures on the DC side, the light, the water speed, the wind speed, and the reactive power at the outlet. Subsequently, the Euclidean distance is calculated for the set of characteristic influencing factors, and the initial centre of clustering of wind turbines is extracted based on the improved maximum-minimum distance method. Ultimately, the clustering equivalent modelling is accomplished through the utilisation of the aforementioned feature influencing factors and the classification initial centre as the training set. The simulation results show that compared with the single-machine equivalent model, The simulation error has been reduced from the order of magnitude of 10-2 p.u. to the order of magnitude of 10-4 p.u., while the simulation efficiency of this method is has been reduced from the order of magnitude of 10-2 s to the order of magnitude of 10-4 s.

关键词： Adaptation models Reactive power power measurement Computational modeling Wind speed Robustness power grids Electric fields Transient analysis Particle swarm optimization

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Cyber-Attack Risk Assessment and Prevention Strategy of Substations Based on Dynamic Attack and Defense Game

Cyber-Attack Risk Assessment and Prevention Strategy of Subs...

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power system and Green Energy Conference (PSGEC)

作者： Feng Lin Yong Mei Yihua Zhu Dongxu Chang Ren Liu Hengdao Guo Power Dispatch and Control Center China Southern Power Grid GuangZhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid GuangZhou China National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid GuangZhou China CSG Key Laboratory for Power System Simulation China Southern Power Grid GuangZhou China Guangdong Provincial Key Laboratory of Intelligent Operation & Control for New Energy Power System GuangZhou China

With the improvement of the informatization of the power system, the risk of cyber attack is also increasing. This paper proposes a risk assessment and prevention strategy for cyber attack against substations. Firstly, the cyber attack against substations are modeled based on the game theory of dynamic attack and defense. Secondly, an improved OPA (ORNL-PSERC-Alaska) model is utilized to analyze the cascade failure after cyber attacks and quantify the load loss of power system. Finally, a preventive strategy which can mitigate the expectation load loss caused by cyber attack against substations is put forward. Simulation experiments were conducted to validate the effectiveness of the proposed method.

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The HEFT Algorithm Based on Node Merging

The HEFT Algorithm Based on Node Merging

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control Engineering and Advanced Algorithms (IWCEAA), International Workshop on

作者： Ying Huang Yuanhong Lu Jie Zhang Jingyue Zhang Haiping Guo National Energy Power Grid Technology R&D Centre Guangzhou 510663 State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou 510663 Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 510663 Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou 510663 Guangzhou China

ISBN: (数字)9798331528881

ISBN: (纸本)9798331528898

The task scheduling problem in power systems is complex, especially when communication costs exceed computation costs. This paper proposes an improved HEFT algorithm with a node merging mechanism, merging nodes through hierarchical traversal to assign high-communication-cost tasks to the same processor, reducing communication overhead. Experiments with 499-dimensional and 1614-dimensional matrices from the power system show that the improved algorithm reduces completion time by 5ms and 2ms, respectively, compared to standard HEFT.

关键词： Costs control engineering Processor scheduling Conferences Merging power systems Standards

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