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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Li, Li Qin, Changlong Dong, Xin Qiao, Rongfei Yang, Jialun State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350346671

Under the background of increasingly serious off-grid problems of renewable energy, this paper analyzes the impact of large-scale off-grid of renewable energy and voltage stability in the weakly interconnected system. First, an improved index is proposed based on Simpson formula for assessing transient voltage stability and achieving early warning of instability risk. Then, based on the simulation of a real-life UHV (Ultra-high voltage) weakly interconnected system, two typical cascading failure scenarios are reasonably anticipated. These cascading failures contain a series of renewable energy off-grid and blocking of DC transmission caused by different initial failures, whose voltage stability is evaluated by the proposed index. Besides, the nature of cascading failure evolution is analyzed. Finally, accuracy and efficient of the proposed index are verified. © 2023 IEEE.

关键词： Transients

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Research on Photovoltaic MPPT Based on Improved Butterfly Algorithm

Research on Photovoltaic MPPT Based on Improved Butterfly Al...

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IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Zun Ma Xian Meng Chao Xing Binjiang Hu Yihua Zhu Liang Tu System Analysis and DC Technology Research Institute Electric Power Research Institute of Yunnan Power Grid Co. Ltd Kunming China Power system simulation and control technology department State Key Laboratory of HVDC EPRI CSG Guangzhou China Power system simulation and control technology department National Energy Power Grid Technology R&D Centre Guangzhou China Power system simulation and control technology department CSG Key Laboratory for Power System Simulation Guangzhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

To solve slow response speed and poor stability of traditional MPPT algorithms under rapidly changing environmental conditions, a MPPT control strategy combining improved butterfly algorithm and disturbance observation method is proposed. Firstly, the butterfly position in the population is initialized by Tent map, increasing the search space; Secondly, Gaussian mutation strategy is introduced to make the algorithm break out of local extremes; Then, a dynamic probability switching mechanism is adopted to balance the weight relationship between global and local search, improving algorithm optimization efficiency; Finally, in the later stage, disturbance observation method is used to track the maximum power and reduce power oscillation. simulation examples show that the proposed algorithm can find the maximum power point quickly and accurately under both static and dynamic shading conditions, and the power output is more stable.

关键词： Maximum power point trackers Photovoltaic systems Renewable energy sources Heuristic algorithms Switches Aerospace electronics Stability analysis Oscillators Optimization

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Preventive control Method of Improving Transient Voltage Stability for power system Based on the Attention of CNN

Preventive Control Method of Improving Transient Voltage Sta...

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2023 IEEE Sustainable power and Energy Conference, iSPEC 2023

作者： Li, Zhendong Yan, Jiongcheng Liu, Yutian Li, Li Qu, Hanbing The Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9798350322699

The widespread integration of renewable generation and the changes in load structure bring significant challenges to the transient voltage stability of large-scale power systems. In order to achieve fast decision of preventive control for improving transient voltage stability, this paper proposes a preventive control method based on the attention of Convolutional Neural Network (CNN). An optimization decision model is established, which not only considers multiple traditional constraints but also introduces the model attention indicator based on Gradient-weighted Class Activation Mapping (Grad-CAM), enabling a more targeted improvement of transient voltage stability. The proposed indicator is capable of extracting the knowledge learned by CNN-based transient voltage assessment model, and utilizing it to guide the optimization decision-making of preventive control. simulation results of provincial grid of eastern China demonstrate that the optimized control scheme can effectively enhance the transient voltage stability of power systems. © 2023 IEEE.

关键词： model attention indicator power system preventive control transient voltage stability

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Synchronization Stability Analysis of Wind Farms Integrated MMC-HVDC system

Synchronization Stability Analysis of Wind Farms Integrated ...

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2023 International Conference on power system Technology, powerCon 2023

作者： Li, Li Qin, Changlong Kan, Changtao Yang, Jialun Li, Guanqun State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

High-voltage direct current (HVDC) based on modular multilevel converter (MMC) is an efficient way to integrate wind farms. However, following short-circuit fault on transmission line, wind turbines (WTs) may lose synchronization with sending-end MMC. As a result, delivery and consumption of wind power are under risk. This paper investigates the mechanism of synchronous instability of wind farm integrated MMC-HVDC system under the severe grid faults. First, a synchronization stability model of the whole is stablished, the existing of stable equilibrium points (SEPs) and the damping characteristic of the whole system are analyzed. Then, a synchronization stability enhancement strategy is proposed based on the coordination of WT and MMC. Last, the effectiveness of proposed strategy is verified by time-domain simulation. © 2023 IEEE.

关键词： Transient analysis

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Photovoltaic Multi-Peak MPPT Method with Improved Particle Swarm Algorithm

Photovoltaic Multi-Peak MPPT Method with Improved Particle S...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

An MPPT control strategy based on the combination of adaptive nonlinear mutation particle swarm optimization algorithm is proposed. The algorithm uses the tanh function to control the inertia weight, balances the ability of particles to optimize globally and locally, uses the ISRU function to control the learning factor, balances the weight relationship between individual learning and social learning, and improves the convergence speed of the algorithm. The nonlinear Cauchy mutation operation is proposed to expand the scope of optimization; Finally, the perturbation and observation method is used to track locally near the maximum power point to reduce power oscillation. The simulation validates that the photovoltaic MPPT control strategy based on the improved particle swarm algorithm can effectively get the maximum power point under shading conditions and improve the output efficiency of the PV array.

关键词： Maximum power point trackers Photovoltaic systems Electrical engineering Perturbation methods Asia Particle swarm optimization Oscillators

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Electromagnetic and Mechanical Transmission Role of Poles in vibration of PMDC motor

Electromagnetic and Mechanical Transmission Role of Poles in...

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2022 International Conference on Electrical Machines, ICEM 2022

作者： Wang, S.M. Gu, Z.Q. Hong, J.F. Yang, Z.L. Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing100084 China

ISBN: (数字)9781665414326

ISBN: (纸本)9781665414326

In this paper, the pivot role of permanent-magnet pole in the electromagnetic and mechanical transfer process of the vibration in PMDC motor is clarified, and the transfer function is established to describe the transfer process of electromagnetic force from the bottom of the magnetic pole to the stator yoke. The expression of radial electromagnetic force in air-gap is analytically calculated, the characteristics of harmonic components are obtained, and the reason why high order force density produces low order concentrated force and bending moment is explained. Based on the characteristics of harmonics, the relationship between the polar arc coefficient and concentrated force or bending moment is explained. Finally, the key role of magnetic poles in the vibration transmission of PMDC motor is summarized. © 2022 IEEE.

关键词： Bending moments

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Inspection Text Classification of power Equipment Based on TextCNN 16th

Inspection Text Classification of Power Equipment Based on T...

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16th Annual Conference of China Electrotechnical Society, ACCES 2021

作者： Chen, Jianning Zhou, Yuanxiang Ge, Jiamin State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9789811918698

A large number of text and reports about the power equipment are generated in power system, which consist of implicit information of operation condition and insulation status. With the development of convolutional neural network (CNN), the inspection text can be analyzed intelligently to improve the reliability of power system. In order to extract valuable information from inspection text for state evaluation of power equipment in local area, an information extraction model for inspection text based on TextCNN is proposed, improved and verified. First, the feature embedding of inspection text were performed by Word2Vec method. Secondly, the corpus were augmented with back translation method. Then, the TextCNN was adopted to classify the risk level of the power equipment or area involved in the inspection text. Finally, the classification results from the model were evaluated by classification accuracy, F1 score, confusion matrix and compared with the model based on BiLSTM and RCNN. The results demonstrated that the performance of TextCNN was the best among the three models on augmented dataset by back translation method with ACC and F1 scores of 0.9087 and 0.9099, respectively, which is the most suitable model among these three for recognition and classification of inspection text of power equipment. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Inspection

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Data-Driven Early Warning for Dynamic Insecurity Risk of Hybrid AC/DC power Grids

Data-Driven Early Warning for Dynamic Insecurity Risk of Hyb...

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2023 International Conference on power system Technology, powerCon 2023

作者： Yan, Jiongcheng Li, Changgang Liu, Yutian Zhu, Yuanzhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Electric Power Research Institute of State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350300222

The dynamic interactions between AC and DC systems and the uncertainty of renewable generation increase the risk of cascading failures and bring challenges for the secure operation of hybrid AC/DC grids. Insecurity early warning identifies the security risk and guides the control decision-making, which is important for the secure power system operation. To achieve fast insecurity early warning, a data-driven early warning method for dynamic insecurity risk is proposed in this paper. First, Latin hypercube sampling and improved K-medoids algorithm are utilized to generate typical operating conditions (OCs) in the future. Then, stacking denoising autoencoders and ensemble extreme learning machines are deployed to construct security risk assessment models to fast assess the dynamic security of typical OCs. And model update is performed to ensure the assessment accuracy when cascading failures occur. Finally, the insecure OCs are ranked into different insecure levels based on the control cost needed to ensure the system security. simulation results of the Northwest hybrid AC/DC grid in China demonstrate that the proposed method can achieve fast insecurity early warning and effectively track the security risk tendency during the process of cascading failures. © 2023 IEEE.

关键词： Risk assessment

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Construction and Applications of Knowledge Graph of Relay Protection Device Defects Based on Ne04J and Structured Data

Construction and Applications of Knowledge Graph of Relay Pr...

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2023 IEEE International Conference on Advanced power system Automation and Protection, APAP 2023

作者： Zheng, Shaoming Dong, Peng Du, Juan Liu, Dan Su, Hongzhi Wang, Shuhong Tao, Chang Yang, Jinzhou Xue, Ancheng China Power Dispatching and Control Centre China Beijing China North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China

ISBN: (纸本)9798350306668

The defect data of relay protection device contains rich operation and maintenance management information that needs to be excavated, and its effective utilization is of great significance for improving the reliability of relay protection system operation. This paper constructs a knowledge graph based on Neo4j for the structured data of relay protection device defect records, and implements the related applications, and completes the information mining work. Specifically, firstly, the powerful data retrieval and screening function based on Neo4j knowledge graph is explained from the basic theory;secondly, the structured data is divided into corresponding nodes and attribute relations according to the construction logic graph, and the Neo4j-based knowledge graph is formed;finally, the nodes and attributes matching method is adopted to traverse and retrieve the structured data knowledge graph, and the online query of defect type and statistical analysis of equipment performance of each manufacturer are realized. © 2023 IEEE.

关键词： Defects

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Analytic Mechanism for the Cumulative Effect of Wind power Fluctuations from Single Wind Farm to Wind Farm Cluster

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CSEE Journal of power and Energy systems 2022年第5期8卷 1290-1301页

作者： Gang Mu Fangze Wu Xiaoping Zhang Ziheng Fu Bai Xiao Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China Department of Electronic Electrical and Systems EngineeringSchool of EngineeringUniversity of BirminghamBirmingham B152TTU.K

The use of wind power is rapidly growing worldwide as a means of reducing carbon emissions for the energy *** has the world’s largest wind power installation and multiple large-scale wind farm clusters,each comprising dozens of wind *** the planning and operation of the power system,it is important to understand the power fluctuation characteristics of wind farm *** studies demonstrate that the relative power fluctuation of a wind farm cluster is less than that of a single wind *** this decreasing trend a random occurrence or does it have a regular pattern?This scientific question is addressed by investigating the mechanism of the cumulative effect of a wind farm *** this study,a cumulative model is proposed by examining the spatiotemporal relationships of wind power variations and wind farm *** gain function and critical cumulative frequency are defined as the foundations to analytically describing the cumulative *** investigating the cumulative effect mechanism,the relationship between power fluctuation and spatiotemporal parameters of the wind farm cluster are *** power fluctuation of a cluster can be predicted using the cumulative model even before it is completely *** mechanism of the cumulative effect is validated on the basis of the data of two actual wind farm clusters.

关键词： Analytic mechanism cumulative effect evolution regularity wind farm cluster wind power fluctuation

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