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Effect of Multiple Models of Closed-loop Transfer Functions on Inter-harmonic Oscillation Characteristics of Grid-connected PMSG

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CSEE Journal of Power and Energy systems 2024年第5期10卷 1955-1964页

作者： Jingyi Li Jianjun Yang Xiaorong Xie Haozhi Li Ke Wang Zhaohui Shi Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province Huadong Engineering Corporation LimitedPower ChinaHangzhou 310014China. State Key Lab of Control and Simulation of Power Systems and Generation Equipment(Dept.of Electrical Engineering Tsinghua University)Beijing 100084China.

Establishing a suitable closed-loop transfer function model for the grid-connected PMSG system is the key basis in performing inter-harmonic characteristics *** closed-loop transfer functions can be constructed when different components of the converter controller are taken into ***,the effect of different components of the converter controller on inter-harmonic stability analysis is not *** this paper,the complete transfer function,considering different loops,is first *** on the complete closed-loop transfer function,the DC-link,PLL and voltage forward-feed are removed step by step to derive different closed-loop transfer *** inter-harmonic related poles of different closed-loop transfer functions are further calculated to analyze the effect of closedloop transfer functions on inter-harmonic characteristics ***,by performing time domain simulation,the correctness of the theoretical analysis results is *** results show that under the conditions of a weak AC system,each loop of the converter control system will reduce the stability of the interharmonic in the sub-synchronous frequency range and influence the inter-harmonic oscillation *** transfer function needs to consider the influence of each loop to accurately calculate the inter-harmonic stability of the system.

关键词： Closed-loop transfer function converter controller inter-harmonic characteristics PMSG

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Islanding Detection In Bulk Power systems: A Data-Driven Approach

Islanding Detection In Bulk Power Systems: A Data-Driven App...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Golpîra, Hêmin Kuzle, Igor University of Kurdistan Power Systems Modeling & Simulation Lab. Department of Electrical Engineering Sanandaj Iran University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789531842976

An attempt is made to propose a data-driven approach for detecting islanding in large-scale power systems. The method utilizes data collected by phasor measurement units (PMUs) to develop an equivalent model of the system. In this model, the system is represented by multiple centers of inertia (COIs) linked to a central point known as the center of gravity (COG) through fictitious reactances. These reactances, which are interpreted as the electrical distances between the local COIs and the COG, serve as a valuable indicator for detecting islanding. The occurrence of islanding can be identified by comparing the temporal trends of electrical distance variations across different areas. The effectiveness of the proposed methodologies is evaluated using simulated data from the 73-bus IEEE test system. © 2024 IEEE.

关键词： Phasor measurement units

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Double Improved Genetic Simulated Annealing Algorithm for Logistics Distribution Routing Optimization 9

Double Improved Genetic Simulated Annealing Algorithm for Lo...

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9th International Conference on Big Data and Information Analytics, BigDIA 2023

作者： Li, Yuanhang Li, Jichao Zhang, Yiyin Li, Jianing Zhang, Xiaoke National University of Defense Technology College of Systems Engineering Changsha China National Key Laboratory for Complex Systems Simulation Beijign China

ISBN: (纸本)9798350330076

Traveling Salesman Problem (TSP) is a NP-hard problem, which has important application value in various fields. This paper optimizes and improves Genetic Algorithm and Simulates Annealing Algorithms respectively, combines each other's advantages and complements each other, and develops a Double-improved genetic-simulates annealing algorithm (DIGASA), which can solve TSP with better results and shorter time. The main improvements are as follows: (1) A new fitness function is defined that can increase with the evolution process;(2) The F-adaptive function is designed to optimize the crossover and mutation probability;(3) The local optimal search is introduced to speed up the convergence of the algorithm;(4) The adaptive Metropolis criterion is adopted in the group update part to make individual changes more adaptive;(5) The cooling function is improved to increase the tempering process. Subsequently, DIGASA is tested on eight standard TSP datasets of three sizes. Experimental results show that DAGASA performs well, almost reach the known optimal solution, and the running time is short, which proves the effectiveness and rationality of DIGASA. © 2023 IEEE.

关键词： Genetic algorithms

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Autonomous Decision Making with Reinforcement Learning in Multi-UAV Air Combat

Autonomous Decision Making with Reinforcement Learning in Mu...

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Feng, Xutao Ma, Yaofei Zhao, Liping Yang, Hanbo Beihang University School of Automation Science and Electrical Engineering Beijing China Beijing Simulation Center National Key Laboratory of Modeling and Simulation for Complex Systems Beijing China

ISBN: (纸本)9798350337020

A multi-agent decision network based on QMIX is proposed in this paper to cope with the coordination decision problem of multiple UAV air combat missions. To speed up the training process, three improvements are introduced: 1) An improved ϵ-decaying method that enable some tutor to help in action selection at the early stage of the training. This measure greatly improves the exploring efficiency when the network are far from being fully trained;2) State pruning and action mask measures are applied during the training. The former improves the effectiveness of the input state information, and the latter reduces unnecessary action exploring. 3) A gradually training configuration is used to make the training process more robust, where the combat adversaries are configured as the static targets, the randomly maneuver vehicles, and the Min-Max strategy vehicles respectively. The multi-UAV air combat scenarios are built up and the experiments are conducted. The results shows that these improvements have significantly improved training efficiency. © 2023 IEEE.

关键词： Action Mask Air combat MARL Min-Max strategy Quadrotor UAV

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Key indexes identifying approach of weapon equipment system-of-systems effectiveness integrating Bayes method and dynamic grey incidence analysis model

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Journal of systems engineering and Electronics 2024年第6期35卷 1482-1490页

作者： ZHANG Jingru FANG Zhigeng YE Feng CHEN Ding College of Economics and Management Nanjing University of Aeronautics and AstronauticsNanjing 210006China National Key Laboratory for Complex Systems Simulation Institute of System EngineeringAcademy of Military ScienceBeijing 100020China Shanghai Electro-Mechanical Engineering Institute Shanghai 201109China

Aiming at the characteristics of multi-stage and(extremely)small samples of the identification problem of key effectiveness indexes of weapon equipment system-of-systems(WESoS),a Bayesian intelligent identification and inference model for system effectiveness assessment indexes based on dynamic grey incidence is *** method uses multi-layer Bayesian techniques,makes full use of historical statistics and empirical information,and determines the Bayesian estima-tion of the incidence degree of indexes,which effectively solves the difficulties of small sample size of effectiveness indexes and difficulty in obtaining incidence rules between ***-ondly,The method quantifies the incidence relationship between evaluation indexes and combat effectiveness based on Bayesian posterior grey incidence,and then identifies key system effec-tiveness evaluation ***,the proposed method is applied to a case of screening key effectiveness indexes of a missile defensive system,and the analysis results show that the proposed method can fuse multi-moment information and extract multi-stage key indexes,and has good data extraction capability in the case of small samples.

关键词： weapon equipment system-of-systems(WESoS) effectiveness index system effectiveness key index Bayes theo-rem grey incidence analysis (extremely)small samples

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Research on aircraft/engine Co-simulation based on the EOEI-Kriging model

Research on aircraft/engine Co-simulation based on the EOEI-...

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2024 International Conference on Aerospace, Mechanical and Materials engineering, AMME 2024

作者： Chen, Chao Shang, Linkuan An, Weiyu Zhang, Hang Key Laboratory of Complex Aeronautical Systems Simulation Beijing100039 China School of Mechanical Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China

Obtaining the characteristic parameters of the aircraft platform is the main blocking point that takes a long time in aircraft/engine co-simulation, so a fast co-simulation modeling method is proposed. In this paper, the kriging model based on the improved EOEI sampling function is used to quickly fit the lift-drag characteristics of aircraft. Combined with the lift-drag data verification test of typical high-speed aircraft shape, the flight performance of the aircraft is evaluated. The simulation results show that under the condition that the average relative error of lift-drag characteristics is not more than 5%, only 22 to 24 CFD solutions are needed to complete the construction of lift-drag characteristics for the speed range of Mach 0 to Mach 6, and the angle of attack range of-4° to 8°. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Angle of attack

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Application of Machine Learning Algorithms for Order Delivery Delay Prediction in Supply Chain Disruption Management 4th

Application of Machine Learning Algorithms for Order Deliver...

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4th International Conference on Innovative Product Design and Intelligent Manufacturing System, IPDIMS 2022

作者： Thomas, Arun Panicker, Vinay V. Supply Chain and Systems Simulation Laboratory Department of Mechanical Engineering National Institute of Technology Calicut Kozhikode673601 India

ISBN: (纸本)9789819916641

Over the last few years, studies on supply chain disruptions are getting more importance since the frequency of occurrence of disruptive events is increasing. Delivery delay of orders is one of the impacts of supply chain disruptions on the downstream side of a supply chain. The prediction of delay in the delivery of orders is one of the most difficult predictive challenges in supply chain disruption management that many companies are facing nowadays. This work aims to fulfill the research gap with the development of a machine learning-based predictive framework for order delivery delay. A dataset from a public repository is considered for the analysis, and area under the curve (AUC) score is selected as the performance metric to evaluate the prediction model. From the results, it can be inferred that the Random Forest model performs well with an AUC score of 0.98. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine learning

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Short-Term Prediction of Wind Power Based on NWP Error Correction with TimeGAN and LSTM-TCN 4th

Short-Term Prediction of Wind Power Based on NWP Error Corre...

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4th International Conference on Energy Power and Automation engineering, ICEPAE 2023

作者： Li, Shuona Ma, Wei Liu, Zhao Duan, Yuge Tian, Chengwei School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9789819988778

The data quality of numerical weather prediction has a great influence on the accuracy of wind power prediction technology. In order to improve the short-term forecasting effect of wind power, we proposed a combined LSTM-TCN forecasting model based on NWP error correction model with TimeGAN. First, minimal redundancy maximal relevance (mRMR) algorithm is used to extract original NWP features and measured meteorological features, respectively. Then, TimeGAN is used to correct initial NWP data according to the internal hidden associations with the measured weather features. After that, the corrected NWP features combined with historical wind power are applied to establish a wind power short-term prediction hybrid model based on LSTM and TCN network. Finally, the performance of the hybrid model is tested by a wind farm dataset in China, which verified effectiveness of this method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wind power

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Using Thermoelectric Generators (TEGs) for Electric Power Generation from Waste Heat in Geothermal Plants

Using Thermoelectric Generators (TEGs) for Electric Power Ge...

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2023 SPE Canadian Energy Technology Conference and Exhibition, CET 2023

作者： Nourdanesh, Nader Kantzas, Apostolos University of Calgary Department of Chemical and Petroleum Engineering Calgary Canada Energy Simulation Centre for Geothermal Systems Research Canada

ISBN: (纸本)9781613999561

The application of Thermoelectric Generators for converting geothermal energy to electricity is investigated in this paper, considering the effects of various parameters on their efficiency. Using renewable energy is one of the latest solutions to tackle climate change, global warming, air pollution, the ozone layer hole, etc. In this regard, a thermoelectric generator (TEG), which is a device for converting heat energy to power, could be used in different renewable energy systems like solar or geothermal. Although their initial cost is lower than the other methods of converting thermal energy to electricity, their efficiency is lower than the most common techniques. Therefore, finding the optimum situation to increase the efficiency of combined devices with TEGs can increase the likelihood of using them in different industries. The parameters investigated in this paper were the temperature of the operating fluid in channels, the optimum mass flow rate, and the channel slope. The results have shown that with increasing temperature differences of the fluid in the channel, the efficiency of the designed system increased significantly. In addition, by increasing the mass flow rate of the operating fluid in the channel, power generation and the whole system efficiency increase up to a certain plateau value. Furthermore, the experimental results have proven that increasing the slope of the channel increased the amount of power generation but has not caused a noticeable change in their efficiency. Copyright 2023, Society of Petroleum Engineers.

关键词： Waste heat

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Uniquely Identifying Device Fingerprint via Deep Learning over Ethernet Communication Signals 14

Uniquely Identifying Device Fingerprint via Deep Learning ov...

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14th International Conference on Electrical and Electronics engineering, ELECO 2023

作者： Sakaci, Furkan Hasan Yildirim, Tulay Havelsan Simulation and Autonomous Systems Ankara Cankaya06530 Turkey Yildiz Technical University Electronics and Communication Engineering Istanbul Esenler Turkey

ISBN: (纸本)9798350360493

The widespread adoption of electronic devices has made imitation attacks a significant security concern, especially in the context of Ethernet communication. In this paper, a deep learning model is trained by using data from both received and transmitted Ethernet communication signals of devices to extract unique fingerprints and employs this model to provide system security. To accomplish this, we initially conducted a theoretical analysis of the LAN9514 Ethernet integrated circuit, followed by the acquisition of Ethernet communication signals from two Raspberry Pi 3 devices with identical models and software through an Analog-Digital Converter (ADC). These signals were then processed and labeled on CUDA cores, resulting in the creation of a dataset from analog signals. When this dataset was trained using the LSTM algorithm, the system exhibited a %98 accuracy rate. © 2023 IEEE.

关键词： Network security

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