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5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

作者： Guo, Junshao Wang, Mingqiang Liu, Jianan Li, Jianying Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781665479059

In the context of the clean and low-carbon energy revolution, high proportional renewable energy source (RES) will be one of the basic characteristics of the future power system. The traditional sequential scheduling module exposes serious problems. In order to solve these problems above, this paper establishes an integrated scheduling model, which determines unit reserve, base points (BPs) and participation factors (PFs) at the same time. It realizes the integrated decision-making of unit commitment (UC), economic dispatch (ED), and PFs of automatic generation control (AGC). To accurately capture the newly updated short-term wind power forecast, the finer time resolution is applied in the first few time intervals, such as 5, 15 and 30 min. Simultaneously, for the short-term wind power spike, energy storage system (ESS) as its countermeasure is used to deal with it. The entire model is regarded as a mixed integer linear programming (MILP) model, which is solved by CPLEX solver. The practicality and validity of the proposed model are verified by the IEEE-RTS system. In general, the integrated model proposed in this paper can accommodate more RES integration, relieve wind curtailment, reduce the total cost and improve the security of the power system, which has a wider application prospect in the power system scheduling field. © 2022 IEEE.

关键词： Renewable energy sources Costs Energy resolution Automatic generation control Wind power generation Power systems Security

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An Integrated Energy system Operation Model Considering New Electricity Marketing Strategy 5

An Integrated Energy System Operation Model Considering New ...

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5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

作者： Liu, Shuai Wang, Mingqiang Lian, Xiaoyang Hu, Yuxi Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781665479059

In recent years, the economic operation of Integrated Energy system (IES) has been widely concerned. How to determine the energy price has become an urgent problem to be solved of IES. In order to overcome this problem, a modified IES operation model considering new electricity marketing strategy is proposed. In this model, the combined stochastic/robust optimization (S/RO) is established to minimize the sum of electricity exchange cost, fuel purchasing cost, operating cost, flexibility adjustment cost and renewable curtailment cost. Based on the bounded uncertainty-based robust optimization (BURO), the modified IES operation model is transformed into a mixed integer linear programming (MILP) model, which is solved by CPLEX solver. The feasibility and effectiveness of the proposed model are illustrated on the IEEE 33-node distribution system with 11-node heat-cold system. © 2022 IEEE.

关键词： Heating systems Renewable energy sources Power engineering Costs systems operation Stability analysis Probability distribution

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Multi-Lever EarlyWarning forWind and Photovoltaic Power Ramp Events Based on Neural Network and Fuzzy Logic

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Energy Engineering 2024年第11期121卷 3133-3160页

作者： Huan Ma Linlin Ma Zengwei Wang Zhendong Li Yuanzhen Zhu Yutian Liu Power Grid Technology Center State Grid Shandong Electric Power Research InstituteJinan250003China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power CompanyJinan250012China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan250061China

With the increasing penetration of renewable energy in power system,renewable energy power ramp events(REPREs),dominated by wind power and photovoltaic power,pose significant threats to the secure and stable operation of power *** paper presents an early warning method for REPREs based on long short-term memory(LSTM)network and fuzzy ***,the warning levels of REPREs are defined by assessing the control costs of various power control ***,the next 4-h power support capability of external grid is estimated by a tie line power predictionmodel,which is constructed based on the ***,considering the risk attitudes of dispatchers,fuzzy rules are employed to address the boundary value attribution of the early warning interval,improving the rationality of power ramp event early *** results demonstrate that the proposed method can generate reasonable early warning levels for REPREs,guiding decision-making for control strategy.

关键词： Early warning machine learning power system security renewable energy power ramp event smart grid

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Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 1096-1098页

作者： Wenkai Hu Xiangxiang Zhang Jiandong Wang Guang Yang Yuxin Cai School of Automation China University of GeosciencesWuhan 430074Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsWuhan 430074 Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

Dear Editor,This letter proposes a new pattern matching method based on word embedding and dynamic time warping(DTW)to identify groups of similar alarm ***,alarm messages are transformed into numeric values that represent alarms and also reflect the relationships between alarm ***,similarities between numerically encoded alarm flood sequences are calculated by DTW and groups of similar floods are identified via *** effectiveness of the proposed method is demonstrated by a case study with alarm&event data obtained from a public industrial simulation model.

关键词： Word Alarm DTW

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Network system capacity:Towards integrating sensing,communication and control

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National Science Open 2024年第1期3卷 147-149页

作者： Xinping Guan Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China

Network systems refer to a new generation of systems with integrated information perception,transmission and utilization capabilities through communication networks,which are adopted to achieve desirable objectives under physical and information related uncertainties and/or adversary *** the information-rich era[1,2],one of the fundamental issues is to exploit the limit of feedback control on dissipating such uncertainties in the scenarios of networked sensing and communication[3].

关键词： communication integrating system

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Postmastectomy radiotherapy in breast reconstruction:Current controversies and trends

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Cancer Innovation 2024年第1期3卷 113-123页

作者： Honghong Zhang Dandan Song Liangxi Xie Ning Zhan Wenjia Xie Jianming Zhang Department of Radiation Oncology Xiang'an Hospital of Xiamen UniversityCancer Research CenterSchool of MedicineXiamen UniversityXiang'anXiamenFujianChina Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Quanzhou Institute of Equipment ManufacturingHaixi InstitutesChinese Academy of SciencesQuanzhouFujianChina

Breast cancer is the most common cancer among women *** radiotherapy(PMRT)is an essential component of combined therapy for early-stage,high-risk breast *** reconstruction(BR)is often considered for patients with breast cancer who have undergone *** has been a considerable amount of discussion about the optimal approach to combining PMRT with BR in the treatment of breast *** may increase the risk of complications and prevent good aesthetic results after BR,while BR may increase the complexity of PMRT and the radiation dose to surrounding normal *** purpose of this review is to give a broad overview and summary of the current controversies and trends in PMRT and BR in the context of the most recent literature available.

关键词： breast reconstruction postmastectomy radiotherapy radiotherapy techniques

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Robust Black Start Strategy with a High Share of Renewable Energy Generation 6

Robust Black Start Strategy with a High Share of Renewable E...

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

作者： Fan, Xuemei Wang, Hongtao Li, Yong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350347159

Renewable energy generation is expected to participate in black start in case of blackout events, as they can significantly speed up power system restoration. This paper proposes a startup strategy aiming to improve the black start robustness against uncertainties introduced by wind or photovoltaic power plants. The strategy is composed of a short-term emulation model and a long-term ordered participation model. The short-term model concerns the transient state frequency and voltage stability under black start disturbances. It emulates the regulating capability of the power plants so as to determine if they can withstand the black start events. The long-term model deals with the steady state power and energy balance during black start units ramping. It takes into consideration the uncertainty of wind and photovoltaic power and calculates the confidence power output interval, and thereby prevents generation shortage caused by renewable power fluctuations. Based on the proposed strategy, an ordered participation algorithm is presented for online decision making of black start schemes, which are validated using a practical regional power system based study case. The results show that the proposed method can improve system robustness and stability for black start with wind and photovoltaic power. © 2022 IEEE.

关键词： Wind power

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Fault Ranging Method Based on Multisynchrosqueezing Transform for Flexible DC Transmission Lines 7

Fault Ranging Method Based on Multisynchrosqueezing Transfor...

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7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering

作者： Yu, Chengao Gao, Zhanjun Yang, Tao Liu, Zhao Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781510656437

Due to the dispersion effect of the traveling wave, the wave speed has frequency variation characteristics, and the error of the fault ranging method using empirical wave speed is large. To address this problem, this paper proposes a fault ranging method based on Multisynchrosqueezing Transform (MSST) for flexible DC transmission lines, the MSST method is used to perform time-frequency analysis of the fault line mode voltage traveling wave, to obtain the precise time and frequency information of the traveling wave arriving at the measurement points on both sides of the line, and to calculate the distance of the fault point according to the double-end ranging principle by combining the frequency variation characteristic curve of the wave speed. Since MSST squeezes the signal several times, it effectively improves the time-frequency aggregation of the signal, and the time-frequency feature extraction of the traveling wave and the identification of the wave head are more accurate. Finally, the effectiveness of the fault ranging algorithm was verified by the simulation of PSCAD and MATLAB. © 2022 SPIE. All rights reserved.

关键词： MATLAB

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Continuous Feature Representation of Fault Location Based on Electrical Distance for Generalizable Data-Driven Dynamic Security Assessment

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IEEE Transactions on Power systems 2025年

作者： Qi, Hang Li, Changgang Liu, Yutian Sun, Runjia Yan, Jiongcheng Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan250061 China

Pre-fault dynamic security assessment (DSA) of power systems needs to consider different fault locations. Existing data-driven DSA methods lack generalizable fault location features, failing to accurately assess unlearned fault locations, i.e., fault locations not in the training set. To address this issue, this paper proposes a continuous feature representation method of fault location based on electrical distance, aiming to construct a pre-fault DSA model generalizable to unlearned fault locations. Firstly, fault location is represented continuously as an electrical coordinate with the electrical distance to preselected reference nodes. Then, the representation ability of electrical coordinates to fault locations is optimized by reference node selection and metric learning. Finally, with electrical coordinates and steady-state features as input, a hybrid DSA model composed of convolutional and radial basis function networks is constructed to assess system angular and voltage dynamics with different fault locations. The generalization performance of the proposed DSA method on unlearned fault locations is verified on New England 39-bus system and a provincial system of China. © 1969-2012 IEEE.

关键词： data-driven Fault location feature representation power system pre-fault dynamic security assessment

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A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network

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Computers, Materials & Continua 2023年第11期77卷 2271-2287页

作者： Liwei Deng Henan Sun Jing Wang Sijuan Huang Xin Yang Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration School of AutomationHarbin University of Science and TechnologyHarbin150080China Institute for Brain Research and Rehabilitation South China Normal UniversityGuangzhou510631China Department of Radiation Oncology Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangzhou510060China

In recent years,radiotherapy based only on Magnetic Resonance(MR)images has become a hot spot for radiotherapy planning research in the current medical ***,functional computed tomography(CT)is still needed for dose calculation in the *** deep-learning approaches to synthesized CT images from MR images have raised much research interest,making radiotherapy based only on MR images *** this paper,we proposed a novel unsupervised image synthesis framework with registration *** paper aims to enforce the constraints between the reconstructed image and the input image by registering the reconstructed image with the input image and registering the cycle-consistent image with the input ***,this paper added ConvNeXt blocks to the network and used large kernel convolutional layers to improve the network’s ability to extract *** research used the collected head and neck data of 180 patients with nasopharyngeal carcinoma to experiment and evaluate the training model with four evaluation *** the same time,this research made a quantitative comparison of several commonly used model *** evaluate the model performance in four evaluation metrics which achieve Mean Absolute Error(MAE),Root Mean Square Error(RMSE),Peak Signal-to-Noise Ratio(PSNR),and Structural Similarity(SSIM)are 18.55±1.44,86.91±4.31,33.45±0.74 and 0.960±0.005,*** with other methods,MAE decreased by 2.17,RMSE decreased by 7.82,PSNR increased by 0.76,and SSIM increased by *** results show that the model proposed in this paper outperforms other methods in the quality of image *** work in this paper is of guiding significance to the study of MR-only radiotherapy planning.

关键词： MRI-CT image synthesis variational auto-encoder medical image translation MRI-only based radiotherapy

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