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检索条件"机构=State Key Laboratory of HVDC and CSG Key Laboratory for Power System Simulation"

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Active Support Performance Test of Grid-connected Photovoltaic system Based on Grid-forming Control 3

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

引用

3rd International Conference on Intelligent power and systems, ICIPS 2023

作者： Xi, Xinze Hu, Yun Xing, Chao Guo, Qi Xu, Shoudong Tu, Liang He, Peng Zhu, Yihua Su, Mingzhang Luo, Chao 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

ISBN: (纸本)9798350328691

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. ©2023 IEEE.

关键词： power converters

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Research on 220kV Spare power Automatic Switching Equipment Standardized Application of Local functions Based on Real-Time simulation∗ 5

Research on 220kV Spare Power Automatic Switching Equipment ...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Huang, Zhida Wu, Wencong Cai, Haiqing Zhu, Yihua Huang, Libin Chang, Dongxu State Key Laboratory of Hvdc Electric Power Research Institute Csg National Energy Power Grid Technology R&d Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Csg Key Laboratory for Power System Simulation Guangzhou China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Currently, the power grid is carrying out the standardized design and application of 220kV spare power automatic switching equipment. It is more difficult to carry out the on-site standby automatic switching function test in the actual power grid. The power supply department urgently needs a simulation environment that can truly simulate the actual power grid to support the development of this functional test. Real-time simulation has the ability to carry out on-site automatic transfer function tests in terms of technical feasibility. To verify its effectiveness, this paper built a standardized closed-loop test system for 220kV spare power automatic switching equipment based on real-time simulation. A number of tests have been carried out for the automatic switch-on function of on-site equipment, and the device action events on the actual site have been inverted. The test results show that the established RTDS real-time simulation model has the ability to simulate the actual 220kV power grid. It has been verified that the action logic of the standby automatic input device in various modes meets the requirements of the standard specification, which strongly supports the standardized application of the 220kV spare power automatic switching equipment function of the power grid. © 2022 IEEE.

关键词： Switching

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simulation Research on Primary Frequency Regulation Coordination Control Strategy of Hybrid Wind-PV-ES power Station Based on AGC 12

Simulation Research on Primary Frequency Regulation Coordina...

引用

12th Annual Meeting of CSEE Study Committee of hvdc and power Electronics, hvdc 2023

作者： Li, Shengnan Hu, Yun He, Xin Zhu, Yihua He, Tingyi Luo, Chao Deng, Can Zeng, Guanming Su, Mingzhang 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 GridGuangzhou China

ISBN: (纸本)9781839539848

With the increase of wind and solar renewable energy penetration in power system, the frequency control ability of power system completely depending on traditional power supply has weakened. This actuality requires that renewable energy stations should be equipped with a certain amount of energy storage to improve the primary frequency control ability. This paper considers the fast response ability and flexible control of energy storage for both charging and discharging, as well as its unique frequency response characteristics. Firstly, the control characteristics of the primary frequency regulation of the hybrid wind-solar-storage power station(Wind-PV-ES) are analyzed. By improving the automatic generation control(AGC) strategy of the hybrid Wind-PV-ES power station, a coordinated control strategy for the primary frequency regulation of the hybrid Wind-PV-ES power station is proposed for different frequency ranges based on the improved AGC control. After the primary frequency regulation action, the energy storage output is given priority control before wind and solar. When the energy storage active margin is insufficient, use the frequency regulation capacity of wind and photovoltaic power system to improve the primary frequency regulation capacity of the hybrid Wind-PV-ES power station. The control strategy proposed in this paper can improve the primary frequency regulation capability of renewable energy station. Finally, the paper verifies the effectiveness of the proposed control strategy through simulation. © The Institution of Engineering & Technology 2023.

关键词： Energy storage

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Multi-Type Electric Vehicle Schedulability Modeling Method based on User Charging Behavior Characteristics 11

Multi-Type Electric Vehicle Schedulability Modeling Method b...

引用

11th China International Conference on Electricity Distribution, CICED 2024

作者： Xue, Yinjuan Chen, Qifang Cai, Haiqing Xia, Mingchao Gu, Haohan School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre 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

ISBN: (纸本)9798350368345

With the rapid proliferation of Electric Vehicles (EV s), effectively leveraging the regulation potential of EV charging loads has become a prominent issue. This paper proposes a multi-type EV schedulability modeling method based on the analysis of charging behavior characteristics of different user types. The model comprehensively considers the charging characteristics of various types of EV s, including private cars, ride-hailing vehicles, and taxis, utilizing a charging start-stop probability distribution model. Case studies demonstrate that this model can not only accurately reflect the charging demands of EV s but also provide valuable references for strategies involving EV fleet participation in grid regulation. © 2024 IEEE.

关键词： Charging stations

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Research on Collaborative Optimization Method of Multi-Area Integrated Energy system with High Proportion of New Energy Access 16

Research on Collaborative Optimization Method of Multi-Area ...

引用

16th IEEE PES Asia-Pacific power and Energy Engineering Conference, APPEEC 2024

作者： Wu, Yingshuang Zhang, Ye Liu, Wei Yang, Ziqian Tang, Wangqianyun Liu, Mingshun Wang, Yin Guizhou Power Grid Co. Ltd. Guiyang550002 China Electric Power Research Institute Csg State Key Laboratory of Hvdc Guangzhou510663 China

ISBN: (纸本)9798350386127

This research introduces an algorithm for cooperative management in interconnected multi-regional energy networks, integrating rapid Q-learning with simulated annealing techniques to achieve enhanced automatic power control. The former enhances the convergence speed of the agent through an accelerated learning rate, while the latter addresses local optimization challenges using the principles of simulated annealing. Moreover, this algorithm is designed with a thorough consideration of the characteristics of renewable energy, aiming to enhance the efficiency and sustainability of energy management. simulation results based on a multi-region load frequency model of a power grid indicate that this approach demonstrates superior performance in achieving optimal cooperative control across multiple regions, offering enhanced control capabilities and faster convergence compared to other reinforcement learning methods, thus providing robust support for large-scale integration of renewable energy sources. © 2024 IEEE.

关键词： automatic power generation control high proportion of new energy reinforcement learning speedy Q-learning

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Particle-in-Cell simulation of Nanosecond Pulsed Breakdown Process of Nitrogen Spark Switch at Atmospheric Pressure 7

Particle-in-Cell Simulation of Nanosecond Pulsed Breakdown P...

引用

7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Xia, Xiaofei Fan, Caijin Liu, Lei Zhong, Zheng Feng, Bo Li, Tianwei Li, Min Su, Yi Lu, Yufeng Li, Bin Pan, Ruijian Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning Guangxi China Electric Power Research Institute CSG State Key Laboratory of HVDC Guangzhou China

ISBN: (纸本)9798350359558

To study the nitrogen particle breakdown process of nanosecond pulses at atmospheric pressure, the discharge process in the gap is simulated using the particle-in-cell method and the photos of transient streamer propagation are obtained. The results are as follows. Firstly, the breakdown process of nanosecond pulses includes the formation stage and fast propagation stage of the streamer. Secondly, runaway electrons may generate in the head of the streamer and the branches of streamer channel form for the photoionization during the fast propagation stage. Finally, the average propagation velocity of the streamer channel during the streamer fast propagation stage is larger than that during the streamer formation stage. © 2024 IEEE.

关键词： Nitrogen

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Emergency control methods for power systems based on improved deep reinforcement learning 6

Emergency control methods for power systems based on improve...

引用

2024 6th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2024

作者： Zhang, Jie Zhu, Yihua Liang, Zhuohang Ma, Qinfeng Zhang, Qingqing Liu, Mingshun An, Su Pu, Qingxin Dai, Jiang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangdong Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangdong Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangdong Guangzhou510663 China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guizhou Guiyang550000 China

In order to achieve fast and accurate transient stability analysis and emergency control, this paper proposes a transient stability emergency control method based on improved deep reinforcement learning. In order to fully explore the temporal and spatial variation trend of transient response, a multi-dimensional feature containing information such as transient situation energy is constructed, and the deep reinforcement learning model is transformed based on the time-space graph neural network. On this basis, an emergency control model is constructed, and the power grid knowledge is integrated into the emergency control decision-making scheme to reduce the exploration of invalid decision-making and improve the performance of the model. The effectiveness of the proposed method is verified in the IEEE-39 system. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Deep reinforcement learning

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Transformer-Based Real-Time simulation Model of power Module in DC Converter Valve

Transformer-Based Real-Time Simulation Model of Power Module...

引用

2024 China hvdc and power Electronics Annual Meeting of Chinese Society of Electrical Engineering, DCPE 2024

作者： Guan, Xisheng Feng, Kaida Hou, Ting Li, Lingfei Tang, Dongjian Lu, Yiping Yangjiang Power Supply Bureau Guangdong Power Grid Co.Ltd Yangjiang China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China

ISBN: (纸本)9781837242689

To address the data issues of slow real-time monitoring and low accuracy in power modules for DC converter valve application, a transformer-based real-time simulation model is proposed. First, a deep learning framework is utilized fully in the proposed real-time simulation model, which helps comprehensively and accurately integrate data by leveraging the self-attention mechanism of the transformer. Second, the linear layers are combined with swish activation functions to improve the feature extraction capability of the proposed model. Third, the feature embedding vector is scaled to prevent it from being overshadowed by positional encoding. Additionally, a mean-pooling layer and a dynamic learning rate are also incorporated in the proposed model, which effectively avoids overfitting and enhances the model accuracy. The transformer-based real-time simulation model has been validated through comparative and ablation experiments, highlighting its superiority in efficiency and accuracy. © The Institution of Engineering & Technology 2024.

关键词： DC converter valve Deep learning Digital twin power module Real-time simulation

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Research on Operating system Runtime Jitter Control Method for Electromagnetic Transient Real time simulation Calculation 3

Research on Operating System Runtime Jitter Control Method f...

引用

3rd International Symposium on Computer Technology and Information Science, ISCTIS 2023

作者： Guo, Qi Guo, Tianyu Lu, Yuanhong Guo, Haiping Huang, Libin Tu, Liang Control for New Energy Power System Guangdong Provincial Key Laboratory of Intelligent Operation Guangzhou China Electric Power Research Institute China Southern Power Grid Csg Key Laboratory for Power System Simulation Guangzhou China

ISBN: (纸本)9798350325386

Real-time electromagnetic transient simulation can quickly analyze and solve the problems in complex large-scale power systems, realize accurate prediction and diagnosis of faults, and is a necessary means to promote the implementation of new power systems. However, the real-time simulation of electromagnetic transient puts forward strict requirements for the real-time performance of the underlying operating system. In this paper, the test method of system runtime jitter on Linux platform is designed, and the causes of jitter are analyzed based on the test results, and the control method of runtime jitter is studied. The experimental results show that the jitter of the system can be controlled in nanosecond level after using the methods of interrupt shutdown, CPU core binding and configuration of NOHZ_FULL, which can meet the needs of real-time simulation of electromagnetic transient. © 2023 IEEE.

关键词： Jitter

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Research on Active Support Control Strategy and its Performance of Renewable Energy power Station with Multiple Energy Sources 7

Research on Active Support Control Strategy and its Performa...

引用

7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Zeng, Guanming Tu, Liang Zhu, Yihua Hu, Yun Luo, Chao Li, Shengnan 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 Csg Key Laboratory For Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Csg Key Laboratory For Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control For New Energy Power System Guangzhou China Yunnan Power Grid Co. Ltd. Electric Power Research Institute Yunnan Kunming China

ISBN: (纸本)9798350345094

The increasing integration of renewable energy reduces the inertia and frequency support capacity of the power system. The issue of frequency stability has become one of the core issues in the security and stability of power system and the efficient consumption of renewable energy nowadays. To improve the performance of renewable energy power station (REPS), based on the analysis of typical active support control logic and relative performance requirements of REPS with single energy source (SES), an active support control strategy and coordinated control logic of active power of REPS with multiple energy sources (MES) are proposed in this paper. The performance of proposed strategy is theoretically analyzed from the aspect of dominant energy source and the effect of the capacity of energy storage. The effectiveness of the proposed strategy and the accuracy of the theoretical analysis of performance are verified by realtime simulation. © 2023 IEEE.

关键词： Renewable energy

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