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6th International Conference on Power and Renewable Energy, ICPRE 2021

作者： Wu, Tonghua Qiao, Yida Zha, Daojun Zheng, Yuping Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China Hefei University of Technology Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei China

ISBN: (纸本)9781665449618

In the low-resistance grounding system with inverter interfaced distributed generator (IIDG), the IIDG widely uses the neutral point through the low-resistance grounding method. But the IIDG, which adopts the neutral point grounding through a low resistance, will affect the fault characteristics of the original low-resistance grounding system. This paper uses the symmetrical component method to establish a single-phase grounding fault model for the distribution network where the neutral points of the IIDG and the main network are grounded with low resistance. The fault current, the zero-sequence current, and the three-phase current of the line are analyzed when the upstream line of the grid connection point, the downstream line of the grid connection point, and the adjacent feeder fail. Finally, a simulation model was built using Matlab/Simulink to verify the correctness of the analysis. The conclusion provides a basis for the protection configuration of the distribution network in which the neutral points of the IIDG and the main network are grounded with low resistance. © 2021 IEEE.

关键词： Electric grounding

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Comparison of Adaptive Virtual Impedance Coefficient to Suppress Power Oscillation in Multi-VSG grids 16

Comparison of Adaptive Virtual Impedance Coefficient to Supp...

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

作者： Ji, Jie Li, Xingshuo Ding, Shuye Chen, Yizhi School of Electrical and Automation Engineering Nanjing Normal University Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350386127

The virtual synchronous generator(VSG) technology offers inertia support but also introduces active power oscillation, which are more serious when in multi-VSG. The previous studies proposed adaptive virtual impedance aimed at suppressing power oscillation in multi-VSG system. However, further research is still needed to thoroughly examine the adaptive virtual impedance coefficient. In this article, how the power oscillation of multi-VSG to be influenced by adaptive virtual impedance coefficient is investigated. Firstly, an analysis is conducted on the active power oscillation mechanism. Subsequently, the variation law of adaptive virtual impedance coefficient affecting active power oscillation is studied. Finally, The effects of different adaptive virtual impedance coefficient values is compared in simulations and experiment. © 2024 IEEE.

关键词： Synchronous generators

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Hybrid HVDC system parameters tuning based on Robust Multi-Objective Optimization via Evolutionary Algorithms

Hybrid HVDC system parameters tuning based on Robust Multi-O...

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2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Yang, Jia Yang, Hongtao Wei, Fenqing Li, Weiliang Liu, Qipu Sun, Guoqiang State Key Laboratory of Smart Grid Protection Control NARI Group Corporation State Grid Electric Research Institute Nanjing China College of Energy Electrical Engineering Hohai University Nanjing China

ISBN: (纸本)9781728135205

The hybrid HVDC transmission system combines the advantages of the line commutated convertor (LCC) and the voltage source converter (VSC) which has great development prospect. Given the uncertainty and complexity in parameters tuning of control modules, this paper introduces a novel robust Multi-Objective Optimization via Evolutionary Algorithms (RMOEA). By searching pareto optimal solutions and robust solutions separately, each region's convergency and diversity performance under perturbance are enhanced appreciably. The improved RMOEA is used to optimize the PI parameters in the rectifier side controller and the inverter side dq axis decoupled dual-loop controller simultaneously. The simulation is implemented jointly by MATLAB and PSCAD software and the experiments results show that compared with the other optimization algorithm, the proposed RMOEA verifies the effectivity of improvements on robustness under the disturbances and tracking ability of preference. © 2019 IEEE.

关键词： Multiobjective optimization

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Commutation failure suppression strategy of HVDC transmission system based on deep double Q-Network

Commutation failure suppression strategy of HVDC transmissio...

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International Conference on Mechanical Engineering, Measurement control, and Instrumentation 2021

作者： Huang, Haidong Li, Xindong Hou, Xiaofan Zha, Daojun Dai, Wei Wu, Dan State Grid Jiangsu Electric Power Co. Ltd. Nanjing210024 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nanjing211106 China

ISBN: (数字)9781510647299

ISBN: (纸本)9781510647282

In the case of AC system fault at the inverter side of HVDC transmission system, commutation failure will occur when the turn-off angle of the inverter is less than the limit turn-off angle. To solve the problem of commutation failure, this paper presents a commutation failure suppression strategy of HVDC transmission system based on Deep Double Q-Network (DDQN). A reinforcement learning algorithm with double neural network structure is adopted to accurately predict the DC current value at the inverter side, thus improving the commutation failure prevention and control module (CFPREV), reducing the trigger delay angle at the inverter side and dynamically adjusting the constant current reference value at the rectifier side based on predicted value. At last, the experimental results show that this strategy can effectively suppress commutation failure of HVDC transmission system. © 2021 SPIE.

关键词： HVDC power transmission

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Modeling and Transient Stability Analysis of Mixed-GFM-GFL-Based Power System

Modeling and Transient Stability Analysis of Mixed-GFM-GFL-B...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Li, Mingfei Quan, Xiangjun Wu, Zaijun Li, Wei Zhu, Ling Hu, Qinran Southeast University School of Electrical Engineering Nanjing China Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665414395

The transient stability mechanism of grid-following inverter (GFL-inverter) and grid-forming inverter (GFM-inverter) in the power system has been extensively studied respectively, whereas the integration of GFM-inverters and GFL-inverters into the grid unavoidably change the transient stability of the power system. This paper aims to analyze the transient stability for the mixed-GFM-GFL power system (MGGPS). The equilibrium point of the MGGPS system is analyzed. The large-signal model of the system is established. Based on this model, an analysis of the transient stability is carried out. It is revealed that the change of GFM-inverter terminal voltage will move the position of GFL-inverter equilibrium points, and the increase of GFL-inverter terminal current will enhance the transient stability of GFM-inverter. With the simulation of phase portraits, the aforementioned transient stability mechanism is proved. © 2021 IEEE.

关键词： Transient analysis

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An Feature Data Extraction Method Based on BPCA-SPCA

An Feature Data Extraction Method Based on BPCA-SPCA

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2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2024

作者： Xing, Xiangyu Yan, Bingrong Su, Yan Tang, Lingyun College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9798350388855

With the increasing integration of systems and the rapid development of sensor monitoring technology, the types of monitoring data are more diverse and the number of samples are larger in flight test and operation than before. Due to the large volume and high complexity of monitoring data, the system fault diagnosis and prediction based on monitoring data is inefficient. In order to solve the problem of monitoring data redundancy, a feature extraction algorithm based on BPCA-SPCA is proposed. A system with high failure rate is selected as an example to extract the features of the system monitoring data and realize the verification of data sparseness. The experimental results show that based on BPCA-SPCA the principal components extracted monitoring data can effectively express the features of the original data, and the feature sparse vector can provide effective input information for subsequent fault diagnosis and indirectly improve the efficiency of fault diagnosis. © 2024 IEEE.

关键词： BPCA monitoring data.feature extraction SPCA

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Small-Signal Modeling and Analysis of Multi-GFM System

Small-Signal Modeling and Analysis of Multi-GFM System

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Zhao, Yang Quan, Xiangjun Wu, Zaijun Zhu, Ling Li, Wei Southeast University School of Electrical Engineering Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control State Grid Electric Power Research Institute Nanjing China

ISBN: (纸本)9781665414395

As the increasing penetration of inverter-based distributed generations (DG) reduces the inertia of the power system, the stability of the system under small disturbances is threatened. grid-forming (GFM) inverter, which can simulate inertia, damping and droop characteristics, is one of the most effective solutions. Virtual inertia and damping coefficient have important effects on the performance in primary frequency modulation. This paper presents an explicit and universal small-signal model for multi-GFM system based on the Newton-Raffson power flow algorithm in polar coordinates to realize the optimal design of virtual inertia and damping coefficient. The validity of the proposed model is demonstrated by comparing with the simulation model, and the effect of virtual inertia and damping coefficient on frequency response is analyzed in the end. © 2021 IEEE.

关键词： Frequency response

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Design and Verification of a DC Direct-mounted Energy Storage Topology 7

Design and Verification of a DC Direct-mounted Energy Storag...

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7th IEEE Information Technology, Networking, Electronic and Automation control Conference, ITNEC 2024

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

ISBN: (纸本)9798350370782

The modular multilevel converter based battery energy storage system (MMC-BESS) has the problem of pulsating current affecting battery life, and the high cost of retrofitting traditional modular multilevel converter (MMC) stations. The proposed DC direct-mounted energy storage topology in this paper is battery friendly and required number of battery cells is only 1/6 of MMC-BESS, greatly saving costs. This paper analyzes the topology structure and working principle of DC direct-mounted energy storage devices, and proposes a design method for the DC direct-mounted energy storage devices. The proposed design method is validated through simulation and prototype experiments. The simulation and construction of a DC 750V prototype have verified that the prototype has achieved good charging and discharging functions for DC energy storage, with small fluctuations in DC grid connected current and good power control effect. This study can provide reference and guidance for the design and application of high-voltage and high-capacity direct current energy storage devices that support offshore wind power to move towards the deep sea in the future. © 2024 IEEE.

关键词： Battery storage

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Partition control Method of Power Balance of Multiͬ Provincial grid with High Penetration of Renewable Energy 10

Partition Control Method of Power Balance of Multiͬ Provinc...

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10th Renewable Power Generation Conference, RPG 2021

作者： Leng, Yue Yang, Chunxiang Chang, Li Zhang, Yantao Wang, Zhiqi Nari Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Gansu Electric Power Company Lanzhou China

ISBN: (纸本)9781839536069

With the increasing penetration of renewable energy in the power grid, coordinated operation of multi-provincial grid is an effective measure to improve the renewable energy accommodation capacity of power grid. It is difficult to guarantee that the active power of tie lines is equal to their dispatching plan by calculating the power flow distribution in the whole network. Therefore, a partition control method of power balance of multiͬ provincial grid with high penetration of renewable energy is proposed. Due to multiple load deviation adjustments and AC power flow calculation of each province, the active power of tie lines can be ensured to be equal to their dispatching plan. The proposed method is composed of two sectors: distribution method of load deviation of each province with a high proportion of renewable energy, in which the balanced relationship of power generation and consumption of each province is established;accurate estimation method of transmission loss of each province under the future operation mode based on prediction and correction, in which the calculation error of unbalance caused by the estimation error of transmission loss can be further reduced. A case study based on an actual multiͬ provincial grid demonstrates the effectiveness of the proposed method. © The Institution of Engineering and Technology.

关键词： Electric load flow

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Algorithms to Calculate the Most Reliable Maximum Flow in Content Delivery Network

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Computer Systems Science & Engineering 2022年第5期41卷 699-715页

作者： Baili Zhang Keke Ling Pei Zhang Zhao Zhang Mingjun Zhong School of Computer Science and Engineering Southeast UniversityNanjing211189China State Key Laboratory of Smart Grid Protection and Control Nanjing211106China Nari Group Corporation Nanjing211106China Department of Computing Science University of AberdeenAberdeenAB243UEUK

Calculating the most reliable maximum flow(MRMF)from the edge cache node to the requesting node can provide an important reference for selecting the best edge cache node in a content delivery network(CDN).However,SDBA,as the current state-of-the-art MRMF algorithm,is too complex to meet real-time computing *** paper proposes a set of MRMF algorithms:NWCD(Negative Weight Community Deletion),SCPDAT(Single-Cycle Preference Deletion Approximation algorithm with Time constraint)and SCPDAP(Single-Cycle Preference Deletion Approximation algorithm with Probability constraint).NWCD draws on the“flow-shifting”algorithm of minimum cost and maximum flow,and further defines the concept of negative weight *** algorithm continuously deletes the negative weight communities,which can increase reliability while keeping the flow constant in the residual *** is proven that when all negative weight communities are deleted,the corresponding maximum flow is the *** tries to approach the optimal solution to the greatest extent possible within the limited time,while SCPDAP tries to reach the probability threshold in the shortest amount of *** of these adopt the strategy of first deleting single-cycle communities(which contribute more to the reliability with lower time cost).Experiments show that,compared with SDBA,NWCD combined with the probabilistic pruning achieves an order of magnitude improvement in time cost,while SCPDAT and SCPDAP demonstrate better time performance and increased applicability.

关键词： Content delivery network uncertain graph maximum flow flow reliability

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