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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zou, Yan Wang, Zhen Li, Zhicheng Xiong, Jiali Deng, Chaoping Cai, Qiang Zhejiang University School of Electrical Engeerning Hangzhou China State Grid Fujian Electric Power Research Institute Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In this paper, a synchronization stability enhancement control method is developed to improve the stability performance of power systems with 100% converter-based renewable generation. An improved Kuramoto-type model is established with a time-variable power injection taken into consideration, which can represent load and/or generation variation. Then a consensus tracking controller (CTC) to help all generators to trace a reference bus with specified common frequency rapidly is developed. A group of new synchronization conditions and the attraction region based on the improved Kuramoto-type model are then derived. Further, a control gain design scheme for CTC is proposed based on the two derived stability rules, i.e., the phase angle cohesiveness and the frequency bounded. Finally, a modified three-machine nine-bus system is used to validate the effectiveness of the proposed method and a comparison study result show that the transient stability performance of 100% power-converter system can be greatly improved. © 2022 IEEE.

关键词： Synchronization

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Transient Performance Optimization of grid Forming Converter 6

Transient Performance Optimization of Grid Forming Converter

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6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Wang, Sichao Li, Chunpeng Yang, Yuexi Han, Congda Zhang, Hanbin Huang, Junwei State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China State Grid Fujian Electric Power Research Institute Fujian Key Laboratory of Protection and Operation Contorl for Smart Grid Fuzhou China

ISBN: (纸本)9798350347159

With the increased penetration of renewable energy sources (RES), the power system is emerging a lower inertial characteristic. This can lead to a higher rate-of-change of frequency (RoCoF) and the voltage instability issue during grid disturbance conditions, thus threatening the security of the power grid. Accordingly, researchers have recently proposed a novel grid-forming (GFM) control strategy. Compared to the traditional grid-following (GFL) control method, the GFM control can emulate the dynamic behaviors of the synchronous generator (SG), inherently providing inertial support to stabilize the grid frequency and transient AC voltage. However, it may lead to abnormal transient stress, such as over/under DC voltage and AC overcurrent, raising the risk of unexpected tripping. The paper will present the operating principles of multiple types of GFM and GFL control strategies, and evaluate their dynamic performance during the grid voltage variation events. To address the issue of transient stress, the paper will propose a novel control strategy for suppressing the over/under DC voltage and AC overcurrent so that prevented disconnection of the GFM converters. The proposed method is validated with an example of PV generation scenario, and the effectiveness in improving the dynamic performance has been demonstrated by studying the frequency variation cases. © 2022 IEEE.

关键词： Transients

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Research on Secure Data Circulation and Sharing protection Technology Framework for Power Monitoring system

Research on Secure Data Circulation and Sharing Protection T...

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2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Huang, Weicong Zhou, Jieying Jin, Minghui Han, Zheng Wei, Sijia State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing China National Power Dispatching and Control Center State Grid Corporation of China Beijing China State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798350327380

With the increasing frequency of data circulation and sharing in power monitoring systems, traditional network-centric protection strategies are insufficient to resist the growing risk of data leakage. This article analyzes the security risks in existing typical data circulation and sharing scenarios based on the demand for data security sharing in power monitoring systems. A data security protection technology framework covering the source layer, interaction layer, and terminal layer has been proposed from the perspectives of basic protection capabilities and key protection technologies, as well as an evaluation method for the protection technology capabilities of data circulation and sharing. This provides a reference idea for effectively enhancing the data circulation and sharing protection capabilities of power monitoring systems. © 2023 IEEE.

关键词： Risk perception

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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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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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A Dual-Objective Optimization control Strategy with Markov Forecast for Battery Energy Storage system to Mitigating Wind Farm Fluctuations 6th

A Dual-Objective Optimization Control Strategy with Markov F...

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6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Gu, Haotian Hou, Kai Jiang, Yingwei Yin, Hang Liu, Jing Zhong, Xu NARI Group Corporation/State Grid Electric Power Research Institute Jiangsu Province Nanjing211000 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Province Nanjing211000 China

ISBN: (纸本)9789811671555

In a renewable energy power system dominated by a high proportion of wind power, the configuration of energy storage system is an effective solution to mitigate wind power fluctuations, ensure the safe and stable operation of the grid, and improve the dispatch ability of wind power. This paper proposes a battery energy storage system (BESS) control strategy with the consideration of the impact of future wind power. To achieve maximum bidirectional output capability and minimum output of BESS, multi-objective hybrid optimization model is built on base of first-order low-pass filter’s variable time constant Tf, which contains two weight coefficients c1 and c2 to flexibly adjust BESS output. Markov chain prediction model is introduced to forecast the future multi-step wind power and PSO optimization algorithm is used to obtain the optimal BESS output power in real-time rolling calculation. Finally, the effectiveness of the proposed control strategy is verified through case studies. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Low pass filters

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Modified distance backup protection fused with DC control information 7

Modified distance backup protection fused with DC control in...

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7th Asia Conference on Power and Electrical Engineering, ACPEE 2022

作者： Gongye, Lingjiao Zhang, Dahai Li, Wei Wang, Xueqin Wu, Chuanjian Beijing Jiaotong University School of Electrical Engineering Beijing China Skl of Sgpc Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665418195

The removal of the DC line may lead to power flow transfer, which leads to the wrong operation of the AC line distance III protection. To solve this problem, a modified distance backup protection that integrates DC control information is proposed. First, analyze the characteristics of DC side control information and propose a power flow transfer identification scheme that integrates DC control information. Subsequently, the modified distance backup protection is constructed using the identification results of the power flow transfer. Finally, an AC/DC hybrid model was established to verify the feasibility and fault resistance capability of the proposed scheme. © 2022 IEEE.

关键词： Electric load flow

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Assessment of Static Voltage Stability Margin for Power systems with Causal Decomposition and Reverse Feature-Enhanced Temporal Convolutional Networks

Assessment of Static Voltage Stability Margin for Power Syst...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Haifeng Zhou Xianyu Zha Qi Pan Naishuang Li Jiabin Zhang Jiacheng Liu State Key Laboratory of Smart Grid Protection and Operation Control NARI Group Corporation (China Electric Power Research Institute) Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

Rapid and accurate static voltage stability assessment is crucial for the safe operation of large-scale interconnected power grids. Existing methods have failed to effectively filter key input variables in massive measurement data, limiting assessment accuracy. This study proposes an assessment method based on causal decomposition and reverse feature-enhanced temporal convolution networks. Initially, using bottom-layer measurement data as input, key variables are selected through causal decomposition, reducing the original feature set and enhancing computational efficiency. Subsequently, a reverse feature-enhanced temporal convolution model is constructed to fully mine data characteristics and achieve high precision assessment. Validation in an improved four-machine two-area simulation system demonstrates that this method significantly enhances estimation accuracy and algorithm performance while reducing the dimensionality of original variables.

关键词： Adaptation models Accuracy Correlation Convolution Power system stability Predictive models Feature extraction Stability analysis Data models Convolutional neural networks

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A Simplified Matching Algorithm of the Carbon Neutrality Path for the Industry Zones 11

A Simplified Matching Algorithm of the Carbon Neutrality Pat...

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11th International Conference on Innovative smart grid Technologies - Asia, ISGT-Asia 2022

作者： Jin, Jingqi Li, Nan Lai, Yening Huang, Jie Chen, Xuetong NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Qinghai Electric Power Company Economic and Technological Research Institute Xining China

ISBN: (纸本)9798350399660

After the carbon peaking and carbon neutrality goals were determined, industrial zones with high energy consumption began investigating their own carbon emission paths and formulating carbon emission reduction strategies. According to the zone's carbon emission projections, a reasonable estimate of the long-term carbon neutrality curve can be made, which has significant research implications for describing the carbon emission path and formulating carbon emission reduction measures. This paper uses the modified Kaya identity to build a model of the zone's carbon emissions. It proposes an algorithm for the zone's carbon-neutrality path matching the carbon peak path and determines the carbon emission peak year and carbon budget of the zone for achieving carbon peaking and carbon neutrality goals. © 2022 IEEE.

关键词： Carbon

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Design of Experiment Management system for Stability control system Based on Blockchain Technology 1st

Design of Experiment Management System for Stability Control...

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1st BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020

作者： Cui, Xiaodan Lei, Ming Yang, Tianshu Wu, Jialong Feng, Jiaqi Yang, Xinlei Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (纸本)9789811611599

Stability control system (SCS) plays a very important role in the operation of power systems, so it is correspondingly essential to ensure the reliability of the SCS during its experimental and verification process. However, there are numerous problems in the management of the paper form based experiment mode of SCS today, such as long circulation cycle caused by low work efficiency, insecure and diseconomy on storage. More importantly, it is difficult to query and review historical records quickly, and it may even lead to the loss of records for various reasons. In this paper, taking advantage of blockchain technology, all the information of each experimental stage of SCS, including the approval information, experimental environment information, experimental equipment information of each manufacturer, experimental test reports and conclusions, are packaged and distributed managed. And then, a blockchain based experimental management system framework with the unified data form and module interface is proposed, in which the whole process of process record can be traced and cannot be tampered with. The experimental management system can be applied in the whole process of the SCS, including the experiment scheme making, experiment environment constructing, experiment processing, result evaluating, and results storage, etc. The blockchain based mechanism and system framework is expect to take many advantage to experiment management of SCS. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Blockchain

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