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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Liyu Dai Chaoping Deng Wujie Chao Jinke Wang Junwei Huang Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

This paper presents a method of applying MMC based on battery energy storage system (BESS) to HVDC system to realize power decoupling control on AC and DC side. Firstly, the basic structure and working principle of MMC-HVDC system based on BESS are analyzed. Then, based on the mathematical equivalent model, the MMC-BESS decoupling control method based on DC power control is derived, and the AC-DC power decoupling control is realized. Finally, a +400kV MMC-HVDC system is built on the RTDS platform, and the proposed control strategy and power decoupling effect are verified. The results show that the MMC-BESS control strategy proposed in this paper is effective. The MMC-HVDC system based on BESS can realize active power decoupling control between AC side and DC side, and the unbalanced power between AC side and DC side can be compensated by the charge and discharge of BESS.

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Leakage Flux-Based Method to Identify the Inrush Current in Transformers

Leakage Flux-Based Method to Identify the Inrush Current in ...

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International Conference on Measuring Technology and Mechatronics Automation, ICMTMA

作者： Zheng Yu-Ping Zhang Zhen-Ya Wu Chong-Hao Pan Shu-Yan Zhou Li State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute)NARI Technology Co. Ltd. Nanjing China

ISBN: (数字)9781728170817

ISBN: (纸本)9781728170824

Inrush current occurrence in the power transformers is an unavoidable event that can happen due to energizing no-load transformer. Although various protection methods based on the terminal current and/or voltage have been proposed for transformer protection, the protection malfunction caused by the inrush current still occurs occasionally. In this paper, By comparing different closing angles of transformers with normal condition and differences in leakage flux near the yoke, a simple and accurate method is presented to identify transformer inrush current conditions. The change of the flux density on the leakage flux sensor can effectively identify the transformer inrush current. This identification method has been initially verified in the simulation in Maxwell.

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Wind-Storage Coordinated control Strategy for Inertia Enhancement of High Ratio Renewable Energy Power Systems

SSRN

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SSRN 2024年

作者： Shu, Hongchun Dong, Haifei Wang, Guangxue Chen, Jing Shi, Botao Tang, Yutao the State Key Laboratory Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Yunnan Key Laboratory of Green Energy and Digital Power Measurement Control and Protection Kunming University of Science and Technology Kunming650500 China

The replacement of thermal power units with renewable energy power generation equipment like wind and photovoltaics has decreased the inertia level of power systems and weakened the frequency stability of the power grid. In order to improve the inertia level of the new power systems and strengthen the inertia support capability of the renewable energy power system to the grid, a wind-storage coordinated control strategy for the inertia enhancement of high-proportion renewable energy power system is proposed in this paper. A time domain model of the inertia response of the wind-storage coordinated control system is also established. An inertia level enhancement strategy of virtual inertia and virtual sag coordinated control of wind-storage joint system is proposed. It improves the system inertia using the analysis results of system inertia requirements as data support and considering the characteristics of battery storage with fast charging and discharging response, and flexible capacity configuration. In addition, the effectiveness of energy storage system (ESS) participation in system inertia enhancement is guaranteed by proposing energy storage based on the ESS state of charge (SOC), which participates in the inertia of the new energy power system to enhance the control coefficient adaptive strategy. Finally, a comparative analysis is carried out using RTLAB simulation test to verify the effectiveness of the method proposed in this paper. © 2024, The Authors. All rights reserved.

关键词： Frequency response

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Improved Droop control for Power grid Considering state-of-charge of Battery Energy Storage

Improved Droop Control for Power Grid Considering State-of-c...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Yuge Chen Zhicheng Li Chaoping Deng Weijun Zhang Shuling Zhang Tongtong Gao Fujian Key Laboratory of Smart Grid Protection and Operation Control Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fuzhou China

The constant droop coefficient (DC) in the traditional f-P and V-Q droop control is not conducive to the state-of-charge (SoC) management of the battery energy storage (BES) system. This paper proposes an improved droop control strategy (DCS) for the power grid which considers both the power frequency adjustment of the power system and the SoC management constraints of the BES. The proposed improved DCS is enabled to adjust the DC according to the SoC status of the BES. Case studies verify the effectiveness of the proposed DCS, which significantly reduces the frequency change deviation in the dynamic process of the weak power grid.

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Deep Integration and Learning of Measurement Data in Active Distribution Power Networks for Load Flow Estimation Considering Incomplete Information 6

Deep Integration and Learning of Measurement Data in Active ...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Diao, Ruisheng Zhou, Aihua Zeng, Ruiyuan Wang, Anqi Shen, Xiaofeng Shun, Jingde Gu, Hua ZJU-UIUC Institute Zhejiang University State Key Laboratory of Clean Energy Utilization Zhejiang Haining314400 China State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Jiangsu Nanjing210003 China ZJU-UIUC Institute Zhejiang University Haining China Qingpu Power Supply Company Stage Grid Shanghai Municipal Electric Power Company Shanghai201799 China

ISBN: (纸本)9798350346671

To reach the goals of carbon peaking by 2030 and carbon neutrality by 2060 in China, a growing penetration of PV generation is integrated into the modern distribution power grid, causing challenges in operating the grid to meet security requirements due to the increased dynamics and stochastics. A deep neural network (DNN)-based method is proposed in this paper for estimating load flow solutions in active distribution power networks that typically suffer from incomplete measurements. Adaptive DNN models are trained from massive historical observations obtained from actual measurements or high-fidelity simulations, whose hyperparameters are tuned automatically. Comprehensive case studies are conducted on the IEEE 123-node feeder model with renewable generation considering various levels of missing information as inputs, which validate the effectiveness and robustness of the proposed method. © 2023 IEEE.

关键词： Electric power distribution

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Frequency Regulation Potential Evaluation of Temperature-controlled Load Aggregators Considering Demand Response Willingness

Frequency Regulation Potential Evaluation of Temperature-Con...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Jie Yu Jiaqi Yang Qia Ding Mengfu Tu Weixi Ji Electrical Engineering Southeast University Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing China

The frequency regulation potential of temperature-controlled load aggregators means that, the total load reduction that all the aggregated temperature-controlled load users can participate in the frequency regulation. User demand response willingness refers to the willingness of users to adjust electricity consumption according to the price of electricity sales to provide demand response based on their own demand response elasticity. This paper establishes a user demand response willingness model including two parts of electricity cost change and temperature change, which is used to characterize the relationship between user frequency regulation potential and electricity price; then proposes a time series chained two-dimensional cloud generator algorithm for the willingness model to predict the temperature-controlled load operating state in the temperature-controlled load, and finally establish a two-layer model to optimize the frequency regulation potential of the temperature-controlled load aggregator, with the frequency regulation potential as the solution variable. The effectiveness of the algorithm and the model are verified through calculation examples, and sensitivity analysis is carried out.

关键词： Electric potential Cloud computing Time series analysis System integration Predictive models Prediction algorithms Demand response

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A Flow-Guided Anomaly Detection Method For Substation Equipment in Changing Scenarios

A Flow-Guided Anomaly Detection Method For Substation Equipm...

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Chinese Automation Congress (CAC)

作者： Qingwei Zhang Jing Wang Peng Wang Wenhao Zhou Yingxuan Li Chunhui Zhao State Key Laboratory of Smart Grid Protection and Control NARI Technology Development Company Limited Nanjing China Stale Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781665426480

The anomaly detection for substation equipment is of great significance to maintain the safe operation of substations. With the development of deep learning, many anomaly detection methods based on deep convolutional neural networks (CNN) have been proposed. However, the challenge lies in the diversity of the environment and the variety of anomaly types in the substation. This paper proposes a Flow- Guided Anomaly Detection Method, which contains a data augmentation module and a flow-guided feature fusion module. The data augmentation module utilizes CycleGAN to transfer the style of the images to adapt to changing scenarios, such as different illumination and season conditions. The flow-guided feature fusion module extracts the optical flow between the test image and the template image by a pre-trained FlowNet, which represents the change information between the image pair and is universal for different anomaly types. Then the appearance information and change information of the image are aggregated to obtain the fused feature, which contains more semantic information. Finally, the fused feature is utilized to accurately detect a wider range of abnormal types. Experiments show that our proposed method has superior performance in anomaly detection for substation equipment and is more robust to changing scenarios.

关键词： Deep learning Adaptation models Substations Fuses Semantics Lighting Feature extraction

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Transient Response Characteristics Analysis of DFIG under Symmetric Voltage Sudden Changes in the grid

Transient Response Characteristics Analysis of DFIG under Sy...

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Sustainable Power and Energy Conference (iSPEC)

作者： Hao Jiang Lixiong Xu Xiaodan Cui Yang Liu Jialong Wu Jiaqi Feng School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu

Large-scale grid-connection of wind power has a profound impact on the characteristics of power grids. To study the mechanism of the influence of voltage sudden changes on the transient response characteristics of double-fed wind fields is the basis of ensuring the safe and stable operation of power grids. In this paper, the expression of rotor current under symmetrical voltage sudden changes is derived, and the related factors affecting the transient response characteristics of rotor current are analyzed. Then, a detailed DFIG model is built in PSCAD, and a variety of scenarios are simulated to verify the accuracy of the proposed doubly-fed fan’s transient response characteristics under symmetrical voltage sudden changes.

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Maximum Capacity Assessment for Multi-paralleled grid-connected Inverters using Global-Admittance based Harmonic Stability Analysis

Maximum Capacity Assessment for Multi-paralleled Grid-connec...

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Sustainable Power and Energy Conference (iSPEC)

作者： Ming Yang Fusuo Liu Yu Wang Wu Cao School of Electrical Engineering Southeast University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9781665414401

With the increasing demand for the renewable energy, the stability of the multi-paralleled grid-connected inverters is the important factor for evaluation the capacity of the inverters connected to power grid. In this paper the maximum capacity assessment for multi-paralleled grid-connected inverters using global-admittance based harmonic stability analysis is proposed. The stability analysis method with global admittance has clear physical concept and is convenient for real-time analysis and calculation. The global admittance method is illustrated first. The inverters are sorted by the capacity. The inverters sequence can be divided into two groups based on the stable critical point obtained by the global admittance method. The group with large capacity is taken as a unit. The stability of the combinations formed by this unit and other inverters in the other group is analyzed further. So the maximum capacity of the grid-connected inverters can be assessed. The application example is used to illustrate and verify the proposed method in this paper.

关键词： Renewable energy sources Systems operation Stability criteria Power system stability Harmonic analysis Inverters Power grids

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Research on External Characteristics for PMSG Wind Turbine Systems Under Symmetrical Fault

Research on External Characteristics for PMSG Wind Turbine S...

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Sustainable Power and Energy Conference (iSPEC)

作者： Hua Xie Qingchun Zhao Peilin Liu Xuesong Gao NARI Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China School of Electrical Engineering Shandong University Jinan China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

Wind turbines (WTs) are based on power electronic converters. Due to different control schemes of converters, WTs exhibit diverse external characteristics when grid symmetrical fault occurs. Thus, the output current and output power of WTs cannot be forecasted, which is a challenge for the power system stability. In this regard, this paper proposes a novel strategy for Permanent Magnetic Synchronous Generator (PMSG) wind turbine systems. The strategy aims to force the PMSG exhibit a stable EFC during grid fault and provide an output current reference to the power system. Besides, the proposed strategy aims at enhancing the low-voltage ride-through capability of the PMSG. The effectiveness and robustness of the proposed strategy is verified in DIgSILENT PowerFactory.

关键词： Power system stability Synchronous generators Robustness Power electronics Wind turbines Wind forecasting Power generation

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