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The Simulation Analysis and Countermeasures of LCC-HVDC Complementary Resonance 5

The Simulation Analysis and Countermeasures of LCC-HVDC Comp...

引用

2023 5th International Conference on Energy Systems and Electrical power, ICESEP 2023

作者： Su, Yinsheng Liu, Zhijiang Chen, Deyang Xie, Huifan Lin, Xuehua Liu, Hongtao Power Dispatching Control Center of China Southern Power Grid Guangdong Guangzhou510663 China Electric Power Research Institute of China Southern Power Grid Guangdong Guangzhou510663 China State Key Laboratory of DC Transmission Technology Guangdong Guangzhou510663 China Key Laboratory of Guangdong New Energy Power System Intelligent Operation and Control Enterprise Guangdong Guangzhou510663 China

With the advancement of HVDC technology, the AC/DC hybrid grid has gradually emerged. The interaction and influence between AC and DC have become increasingly prominent, with the complementary resonance problem between AC and DC emerging as a hot research topic. In this paper, firstly, the phenomenon of LCC-HVDC complementary resonance is analyzed in both time and frequency domains, and a method for setting the saturation curve of the converter transformer in time domain simulation is proposed. Subsequently, targeting the actual LCC-HVDC complementary resonance, a hardware-in-loop simulation platform is constructed based on the actual HVDC control and protection equipment, and the actual field complementary resonance is reproduced. By simulating different operation modes, the operation range with a low risk of complementary resonance is determined. The influencing factors of complementary resonance are discussed and analyzed. Finally, through real-time simulation, the results show that the simulation method proposed in this article for setting the saturation curve of the converter transformer can accurately reflect the complementary resonance phenomenon between AC and DC caused by the saturation of the converter transformer. The countermeasures proposed in this article can effectively remove the complementary resonance between AC and DC and have been applied to the operation and control of actual power grids. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Time domain analysis

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A Forecast Error Correction Method Based on Seq2Seq and Auto Encoder for Short-term Wind power Forecast Enhancement

A Forecast Error Correction Method Based on Seq2Seq and Auto...

引用

2024 IEEE IAS Industrial and Commercial power System Asia, I and CPS Asia 2024

作者： Ma, Haoyu Yang, Ming Han, Zifen Wang, Bo Che, Jianfeng Li, Menglin Control Shandong University Key Laboratory of Power System Intelligent Dispatch Jinan China State Grid Gansu Power Grid Corporation Lanzhou China China Electric Power Research Institute National Key Laboratory of Renewable Energy Grid-Integration Beijing China

ISBN: (纸本)9798350352290

Accurate wind power forecast (WPF) is highly significant for the safe and economic operation of power systems, and implementing error correction is a common and effective manner to further enhance the forecasting performance. Nonetheless, existing error correction methods fail to consider temporal relationship and may inadvertently increase the error under certain circumstances, thereby compromising the local precision of forecast. In order to address these issues, this paper proposes an error correction model based on Seq2Seq and auto encoder (AE) to improve forecasting accuracy. Firstly, the seq2seq with attention mechanism is introduced to infer the probable error sequence through learning the temporal relationship between the numerical weather prediction sequence and the actual error sequence. Secondly, the samples that the seq2seq providing a positive error inference are collected and the AE model is employed to extract the meteorological features at these moments. Finally, on the basis of the above two models, the error correction method is constructed consisting of preliminary error inference and posterior correction determination. Using operational data from Ningxia province, the proposed method is validated for its remarkable superiority based on the evaluation metrics. © 2024 IEEE.

关键词： Wind forecasting

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Simulation Testing of Large-Scale grid-Connected Wind power with Energy Storage System Based on Active Support Performance Evaluation Indices 10

Simulation Testing of Large-Scale Grid-Connected Wind Power ...

引用

10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Zhu, Yihua Hu, Yun Tu, Liang Su, Mingzhang Luo, Chao Csg State Key Laboratory of Hvdc Electric Power Research Institute 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 China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China

ISBN: (纸本)9798350309379

This paper establishes simulation modeling for large-scale grid connected wind power with energy storage system (ESS). The conventional grid-following (GFL) based ESS is used as a reference object to test the active support performance of large-scale grid-connected wind power with grid-forming (GFM) based ESS with active support performance evaluation indices in different scenarios. (1) Small disturbance evaluation indices: The point of common coupling (PCC) frequency/voltage drop depth and recovery time. (2) Large disturbance evaluation indices: The PCC frequency/voltage drop depth and rise height after fault removal. The output active/reactive power drop depth and rise height/recovery time after fault removal. (3) Island capability evaluation indices: The PCC frequency/voltage fluctuation amplitude at the moment of switching and system stability after switching. © 2023 IEEE.

关键词： active support performance evaluation indices different scenarios grid-following (GFL) grid-forming (GFM)

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Hybrid MMC AC Side Smooth Start-Up Strategy 7

Hybrid MMC AC Side Smooth Start-Up Strategy

引用

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

作者： Xin, Zhou Qing, Mu Yalou, Li Jing, Chen Linlin, Ma Weiwei, Miao China Electric Power Research Institute State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems Beijing China State Grid Shandong Electric Power Company Dispatch Control Center Control Office Shandong China

ISBN: (纸本)9798350345094

Modular multilevel converters are currently the mainstream topology in flexible HVDC projects. Compared with half-bridge MMC, hybrid MMC has DC fault ride through capability, and has economic cost advantages over full-bridge MMC and has broad application scenarios. At present, the main problem of hybrid MMC is that it is difficult to start smoothly, and it is difficult for the full-bridge sub-module and half-bridge sub-module to achieve capacitor voltage balance during the AC side start-up process, and the converter is easy to generate inrush current when unlocked, threatening the system safety. In order to solve the above problems, a three-stage AC start-up scheme is proposed, which can ensure that the half-bridge submodule and the full-bridge submodule can reach the self-absorbed energy voltage during the charging process, and the proposed dynamic grouping and sorting algorithm can improve the calculation efficiency of the traditional sorting algorithm and accelerate the capacitor-voltage balance process. The proposed method is verified by ADPSS, an electromagnetic transient simulation platform independently developed by China Electric power Research Institute. © 2023 IEEE.

关键词： Simulation platform

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Capacity optimization and economic evaluation of battery energy storage system for qinghai province based on time series simulation technology 4

Capacity optimization and economic evaluation of battery ene...

引用

4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020

作者： Dong, Ling Sang, Zhencheng Li, Pai Li, Qing Li, Jian Cao, Chunlian State Grid Qinghai Electric Power Company QingHai China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China

ISBN: (纸本)9781728196060

With the rapid development of renewable energy power in Qinghai province, the utilization rate of renewable energy has become to a new challenge. Large-scale battery energy storage system (BESS) is an effective way to promote the utilization of renewable energy. In this paper, a method on capacity optimization and economic evaluation of BESS is proposed based on sequential production simulation technology. An optimization model is established to maximize the utilization of renewable energy, considering constraints of system power balance, operation mode of BESS and conventional units. The annual power outputs of renewable energy are incorporated as inputs for optimizing the hourly charging and discharging power of BESS. The discount cash flow method is adopted to evaluate the economic benefits of BESS. In case studies, a set of scenarios for Qinghai province with different power rating and energy capacity of BESS are tested, and the best plans of BESS in Qinghai province is obtained. The testing results verify the effectiveness of the proposed method. © 2020 IEEE.

关键词： Battery storage

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Research on the Application of Big Data in Transient Stability Simulation of power Systems 4

Research on the Application of Big Data in Transient Stabili...

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4th International Conference on Energy, power and Electrical Engineering, EPEE 2024

作者： Zhang, Jie Guo, Haiping Zhao, Yanjun Huang, Libin Hu, Binjiang Luo, Hui Zhang, Jingyue State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou510663 China National Energy Power Grid Technology R&d Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou5106633 China

ISBN: (纸本)9798331518066

With the rapid expansion of smart grids, there is a growing complexity in power system dynamics, which increases the availability of real-time operational data and underscores the need for advanced transient stability simulations. Traditional transient stability analysis methods are constrained by their computational demands and may compromise accuracy. Furthermore, deep learning-based methods often focus on the application of a single algorithm, lacking a systematic consideration of the entire simulation process. To address these challenges, this study proposes a novel approach that leverages big data to enhance transient stability simulations. By integrating deep learning and ensemble learning techniques, the model significantly improves the accuracy and efficiency of predicting transient instabilities. The methodology utilizes a multi-source data acquisition and fusion scheme to ensure data comprehensiveness and a distributed storage architecture to handle large-scale datasets effectively. Advanced visualization technologies are also employed to enhance the interpretability of the simulation results. This comprehensive framework aims to support the safe and stable operation of power systems amid increasing complexity and data availability. © 2024 IEEE.

关键词： Transient stability

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Research and Implementation of control Strategies for Multiple Transmission Modes in Yongren-Funing HVDC

Research and Implementation of Control Strategies for Multip...

引用

2022 IEEE International Conference on power Systems and Electrical Technology, PSET 2022

作者： Zhu, Yukun Huang, Libin Li, Shuyong Zhu, Yihua Jia, Xuantao Jia, Xuantao State Key Laboratory of Hvdc Electric Power Research Institute 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 Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Zhejiang Electric Power Co Ltd Ehv Branch Company of State Grid Hangzhou China Xj Electric Co Ltd Xuchang China

ISBN: (纸本)9781665489157

The ± 500 kV Yongren-Funing HVDC transmission project is the first HVDC whose sending and receiving ends are both located in the same province, its inverter station is required to transmit power to different AC asynchronous grids according to the different requirements of the grid operation. The present control and protection system of HVDC cannot adapt to and meet the technical requirements of multiple power transmission modes. In order to achieve this goal, the control system of HVDC must be capable of automatic discrimination and sequential control, selecting the correct strategy of reactive power control (RPC), which is essential for the stable operation of the HVDC system. Therefore, based on the operating conditions of the HVDC system and the switch configuration of the AC switch yard of the inverter station, the principle, process and interlocking conditions of automatic switching between different transmission modes are systematically analyzed. Effects on RPC, last breaker and the over voltage protection of AC busbar are researched. The control strategies for multiple transmission modes have great significance for the similar HVDC/UHVDC transmission projects in the future. © 2022 IEEE.

关键词： Reactive power

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Adaptive Identification of power System operational states Based on Spatio-Temporal Dynamic Graph Neural Networks 4

Adaptive Identification of Power System Operational States B...

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4th IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2024

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

ISBN: (纸本)9798350361643

The state identification of the operational status of power systems plays a crucial role in ensuring the safety, efficiency, and reliable operation of power systems, forming the foundation for the management and control of power system operations. In the practical operation of power systems, the duration of fault states is short, while the system remains in a safe and stable state for a significantly longer period, leading to an imbalance in the training samples available. This imbalance can cause traditional machine learning classification algorithms to favor the majority categories of power system operational states, resulting in inaccurate evaluation metrics and reduced model generalization capability. To address this issue, this paper introduces a spatiotemporal dynamic graph neural network model for the identification of power system operational states. By incorporating class cost coefficients, focal loss, and cross-entropy in a joint loss function, the model adaptively focuses on the less represented operational state categories during training, improving classification accuracy on imbalanced and challenging samples. Moreover, the integration of temporal information and spatial topology information within the graph neural network enhances the model's robustness and generalization ability in state identification. Experimental results on the standard IEEE 68-bus system demonstrate that, compared to traditional machine learning methods, the proposed joint loss with the spatiotemporal dynamic graph neural network model achieves higher accuracy in the identification of power system operational states, significantly improving classification performance on imbalanced samples with a 4.8% increase in F1-score, reaching a peak F1-score of 98.6%. © 2024 IEEE.

关键词： Graph neural networks

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Research on the Stage Division Standard for the Transient Response in Active Distribution Networks 7

Research on the Stage Division Standard for the Transient Re...

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

作者： Hu, Shanhua Li, Yalou Zhang, Xing Mu, Qing Ma, Linlin Miao, Weiwei China Electric Power Research Institute State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems Beijing China Dispatch Control Center Control Office State Grid Shandong Electric Power Company Beijing China

ISBN: (纸本)9798350345094

With the increasing integration of a significant number of Inverter-Based Distributed Generators (IBDGs), the transient characteristics on the low-voltage distribution network side have undergone substantial changes, rendering traditional stage division standards less applicable. This paper proposes a novel stage division standard for the transient response in Active Distribution Networks (ADNs), serving as a crucial tool for a more profound analysis of the interactions between ADNs and the transmission network. The paper begins by developing an electromagnetic model using a real ADN then performs large disturbance simulations for ADNs at different penetration levels, and introduces a new segmentation criterion based on the external characteristics of ADNs under large disturbances. By formulating mathematical models for the components within the ADN during transient stages, this paper delves into a mechanistic analysis of the external characteristics of ADNs at each phase and identifies key factors influencing the external characteristics in various stages. © 2023 IEEE.

关键词： Transient analysis

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Research on Modeling of Current Transformer for Travelling Wave Fault Location Test 10th

Research on Modeling of Current Transformer for Travelling W...

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10th Frontier Academic Forum of Electrical Engineering, FAFEE 2022

作者： Cui, Liu Li, Shuyong Huang, Libin Guo, Qi Deng, Lijun State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou510663 China National Energy Power Grid Technology R and D Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China

ISBN: (纸本)9789819934034

In order to test the travelling wave fault location devices that widely used in power system, a simulation model that can reflect the transformer characteristics of travelling waves on the transmission channel should be built. In this paper, the current transformer (CT) on the transmission channel is modelled, then the CT attenuation characteristic to travelling waves is proved by adding sine wave and square wave on the CT primary side. By using PSCAD and travelling wave fault locator examiner, a half-real time simulation environment is constituted to test the travelling wave fault locator. In PSCAD, CT is modeled by measuring parameters. Finally, amplitude frequency response characteristics of the actual CT and the CT model are compared. The result shows that simulation model in this paper reflects well on the CT high-frequency attenuation characteristic. © Beijing Paike Culture Commu. Co., Ltd. 2023.

关键词： Electric instrument transformers

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