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

作者： Lu, Yuanhong Guo, Haiping Zhao, Yanjun Huang, Libin Hu, Binjiang Luo, Hui Zhang, Jingyue National Energy Power Grid Technology R&d Centre Guangzhou China 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 Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798331518066

power system simulation involves simulating the operating states and dynamic processes of power systems using mathematical models and computer technology to analyze and predict system behavior. Traditional simulation methods struggle to meet the needs of large-scale, complex power grids due to significant demands for computational resources. Cloud computing, with its high scalability, resource pooling, and on-demand services, is ideally suited for the extensive simulation calculations required by modern power systems. Despite its advantages, the application of cloud computing in power system simulation poses challenges related to data security and privacy, particularly in collaborative simulations involving multiple power entities. This paper presents the design and implementation of a cloud computing-based power system simulation platform. The proposed platform leverages the distributed computing capabilities of cloud computing, integrates federated learning to ensure data privacy, and utilizes advanced power system simulation technologies. This approach significantly enhances simulation efficiency and accuracy while providing data security and privacy protection. The platform offers reliable decision support for power system planning, operation, and control. © 2024 IEEE.

关键词： Cloud platforms

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Proof-of- Reliability Consensus Mechanism of Blockchain for Remote operation of Relay protection 7

Proof-of- Reliability Consensus Mechanism of Blockchain for ...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Zhang, Yongjie Cong, Wei Tang, Yi Li, Yudun Li, Congcong Shi, Fangfang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350359558

Remote operation of protective setting value can enhance the adaptability of protection to real-time operating conditions. As centralized solutions, existing models face information security risks. The decentralized nature of blockchain is advantageous for addressing reliability issues in remote operations. This paper treats the control center and protection relay system sub-stations as nodes in blockchain, proposing a Proof-of- Reliability (PoRel) consensus mechanism based on node reliability. The paper first defines sub-station node types and classification criteria, achieving optimal sub-station node grouping based on 0-1 integer programming. Next, it provides a method for evaluating sub-station node reliability and outlines the consensus mechanism process. Finally, using the IEEE 39-bus system as an example, a blockchain system with 27 sub-station nodes is built using Python software, and the proposed consensus mechanism is simulated and verified. The results indicate that the proposed consensus mechanism improves efficiency, achieves decentralization, and helps ensure reliable relay setting remote operations. © 2024 IEEE.

关键词： Blockchain

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Distributed power System Simulation and Monitoring Supported by Cloud Technology : A grid optimization scheduling method based on MADRL 4

Distributed Power System Simulation and Monitoring Supported...

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

作者： Luo, Hui Zhang, Jie Hu, Yufeng Zhang, Jingyue Guo, Haiping Huang, Libin 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 Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

This study explores the optimization of Distributed Generation Systems (DGS) within a Multi-Agent Deep Reinforcement Learning (MADRL) framework. The focus is on transforming the overall optimization goal of the system into a global reward function and designing local rewards adapted to heterogeneous agents. Using the IEEE 33 node system as a case study, the impact of power aggregation and load management from photovoltaic systems, energy storage systems, electric vehicle charging facilities, and HVAC systems is analyzed. The results demonstrate that the proposed edge-cloud collaborative framework optimizes resource allocation and scheduling. The cloud platform is capable of integrating data from diverse sources and managing it in a unified manner, thereby coordinating the operations of multiple heterogeneous agents. The scalability and flexibility of cloud technology allow for the dynamic adjustment of computational resources according to demand, ensuring global optimization and the judicious allocation of resources. © 2024 IEEE.

关键词： Cloud platforms

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Distributed power Restoration Method Based on Joint control of DGs

Distributed Power Restoration Method Based on Joint Control ...

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2023 International Conference on power System Technology, powerCon 2023

作者： Wang, Ruimei Cong, Wei Tang, Yi Wang, Anning Zhang, Yongjie Gu, Qianshuo Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350300222

As the scale of power system continues to expand, the proportion of distributed generators (DGs) in the smart distribution network has been increasing year by year. To address the problem of power restoration after DGs access, distributed power restoration method based on joint control of photovoltaic unit and pv/battery unit is proposed. Analyzing the control modes of photovoltaic unit and pv/battery unit during distributed power restoration, available capacity and adjustment range are determined based on control principles and operation constraints. Based on this method, the network is gradually converted into Thevenin equivalent circuit, and power restoration calculations are performed while considering the operating characteristics of photovoltaic unit and pv/battery unit. At the same time, power output adjustment is carried out based on voltage and frequency constraints to avoid overvoltage or frequency problems during the power restoration process. Using IEEE 33-node system as an example, then the feasibility of this method is verified. © 2023 IEEE.

关键词： Restoration

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Reliability assessment of micro-grid based on Markov model

Reliability assessment of micro-grid based on Markov model

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2016 IEEE PES Asia Pacific power and Energy Engineering Conference, APPEEC 2016

作者： Liu, Xiaoxian Yong, Wang Changwei, Song Qu, Hanbing Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9781509054183

Micro-grid can absorb the distributed power effectively, reduce loss, and improve power supply reliability. In order to assess micro-grid reliability quantitatively, the random natures of distributed power output are analyzed firstly in this paper. Wind power and photovoltaic Markov model are set up. And the power smoothing of energy storage is considered. Then the corresponding reliability evaluation process was given. And lastly, this paper realizes the micro-grid running states analysis and reliability assessment based on the analytic method. In addition, the new reliability indexes for micro-grid are proposed in the paper. Finally, example proves the efficiency of the above model and method. The results show that distributed power Markov model has a timing sequence and makes the assessment can better reflect the practical operation of micro-grid. It's significant for improving the reliability and economy of micro-grid operation. © 2016 IEEE.

关键词： Wind power

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DC Line Traveling Wave protection Method Based on Improved Hausdorff Distance Comparison 7

DC Line Traveling Wave Protection Method Based on Improved H...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Diao, Chengyan Cong, Wei Lin, Xiang Shao, Xiaofei Li, Yudun Li, Congcong Intelligent Dispatch and Control Shandong University Key Laboratory of Power System Jinan China Power Company State Grid Shandong Electric Jinan China

ISBN: (纸本)9798350359558

To improve the reliability of conventional protection using fault travelling wave, this paper proposes a line traveling wave protection method based on improved Hausdorff distance comparison. The traveling waves at the two sides of the line have different propagation laws and change characteristics during external fault and internal fault. First, the traveling waveform is processed by time matching and segmentation calculation. Second, splitting the long waveform into short waveforms and averaging the waveforms at both sides of the block processing, thus calculating the average Hausdorff distance. Last, using PSCAD building a bipolar DC transmission system for simulation verification, the results show that the improved method has high reliability. © 2024 IEEE.

关键词： Electric power system protection

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Design of Trading Adjustment Mechanism for Energy Storage in Electricity Market Based on Equivalent Net Load Fluctuation 6

Design of Trading Adjustment Mechanism for Energy Storage in...

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6th International Conference on Energy, Electrical and power Engineering, CEEPE 2023

作者： Song, Shihang Zhang, Li Qi, Zhiqiang Wang, Haibo Wang, Yuxi Su, Xinyan Chen, Guanting Wang, Fukun Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350348279

As the proportion of renewable energy connected to grid increases continuously, the volatility and uncertainty of its output affect the safe operation of the power system, so it is necessary to adjust the trading mechanism of electricity market. As a high-quality flexible resource, energy storage becomes an important means to deal with the challenge caused by renewable energy. How to improve the mechanism of electricity market to better play the role of energy storage is worthy of in-depth research. This paper proposes a trading adjustment mechanism for energy storage in electricity market based on the fluctuation degree of equivalent net load, and establishes a joint market model of energy market and frequency regulation market including storage power station. The example simulation shows that the trading adjustment mechanism proposed in this paper can effectively enhance the role of energy storage, and has a good effect on improving the fluctuation degree of net load and reducing system operating costs. © 2023 IEEE.

关键词： power markets

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Identification Methods for Transformer Turn-to-Turn Faults and Inrush Current Based on Electrical Information

Identification Methods for Transformer Turn-to-Turn Faults a...

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2021 International Conference on intelligent power and Systems, ICIPS 2021

作者： Gong, Xinyi Zheng, Yuping Pan, Shuyan Wu, Chonghao Deng, Jinzhao NARI Research Institute NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and Control China

power transformer is the most imperative and crucial equipment in electrical power system. Accurately monitoring the occurrence of transformer faults and rapidly isolating the faults are of great significance to ensure the reliability of power supply and avoid serious damage to the transformer. There are many methods used in the transformer to monitor transformer running state. This paper provides a comprehensive overview of transformer turn-to-turn fault and inrush current identification methods based on electrical information, and expounds the systematic research content that needs to be carried out for transformer turn-to-turn fault identification methods based on magnetic flux leakage information. © Published under licence by IOP Publishing Ltd.

关键词： power transformers

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Cyber-attack-tolerant Frequency control of power Systems

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Journal of Modern power Systems and Clean Energy 2021年第2期9卷 307-315页

作者： Chunyu Chen Kaifeng Zhang Ming Ni Ying Wang the School of Electrical and Power Engineering China University of Mining and TechnologyXuzhou 221116China the School of Automation Southeast UniversityNanjing 210096China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106China NARI Technology Co. Ltd.Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

Cyber attacks are emerging threats in the Internet of Things applications,and power systems are typical cyber attack *** one of the most essential operation functions,frequency control is threatened by cyber intrusions,and the existing centralized control mode cannot effectively address cyber *** this study,a new distributed cyber-attack-tolerant frequency control scheme is *** distributed control mode also serves as a convenient tool for attack *** designed cyber-attack-tolerant frequency controller adopts the idea of passive fault attenuation,thus simplifying the design *** the aid of graph theory and consensus techniques,distributed integral based and model predictive control(MPC)based controllers are *** with the integral type,the MPC-based controller can simultaneously improve the dynamic responses and the tolerance ability under *** proposed controller is validated via an IEEE benchmark system,and the effectiveness of its application in actual power systems is verified.

关键词： Frequency control cyber attack distributed control passive fault attenuation cyber-attack-tolerant frequency control

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A Coordinated MMC control Strategy of Integrated Photovoltaic/Battery System 7

A Coordinated MMC Control Strategy of Integrated Photovoltai...

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7th IEEE International Conference on Energy Internet, ICEI 2023

作者： Yang, Yuexi Zhou, Xiao Wang, Sichao Li, Chunpeng Huang, Junwei Xu, Wenzheng 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 Control for Smart Grid Fuzhou China National Research Center for Active Distribution Network Technology Beijing Jiaotong University Beijing China

ISBN: (纸本)9798350386684

The grid-connecting control and maximum power point tracking control of photovoltaic inverters have long been the research focus in the field of solar power generation. In this paper, a new coordinated modular multilevel converter (MMC) control strategy based on virtual synchronization and MPPT is proposed for grid-connected inverters in the PV/Battery system. The proposed strategy realizes frequency and voltage droop control with the synchro's inertia and damping characteristics, and improves the power angle stability as well as system voltage stability. Simulation results in MATLAB/Simulink verifies the feasibility and effectiveness of the proposed control strategy. © 2023 IEEE.

关键词： Solar energy

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