检索结果-内蒙古大学图书馆

6th International Conference on Power and Energy Applications, ICPEA 2023

作者： Ma, Huan Tian, Hao Zhang, Kunpeng Liu, Yutian Shandong Electric Power Research Institute Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350359053

Multi-type energy storage is essential for managing fluctuations in renewable energy power and increasing the consumption rate of renewable energy. In this paper, an optimal scheduling strategy for the co-generation system comprising wind power, photovoltaic power, electrical energy storage, and hydrogen energy storage is proposed. The strategy consists of a global optimization model and an application-oriented Pareto optimal solution screening methodology. The global optimization model establishes a multi-objective optimization model based on meteorological prediction information that considers the intended output power completion of the co-generation system, the remaining equivalent power of the energy storage plant, and the equivalent production of hydrogen. The NSGA-II is utilized to solve the global optimization model and obtains multiple Pareto optimal solutions. The optimal solutions are screened by applying the application-oriented Pareto optimal solution screening methodology. Finally, a co-generation plant in Shandong Province is presented to validate the effectiveness of the proposed approach in mitigating wind variability and encouraging the adoption of renewable energy sources. © 2023 IEEE.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Fast Transient Voltage Stability Assessment for Complex Receiving-End Power Grid 7

Fast Transient Voltage Stability Assessment for Complex Rece...

引用

7th International Conference on Power and Energy Applications, ICPEA 2024

作者： Liu, Xiyang Liu, Tianhao Liu, Yutian Li, Zhendong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Laiwu Power Supply Company State Grid Shandong Electric Power Company Laiwu China

ISBN: (纸本)9798350356113

The continuous increase of new energy generation and AC-DC interconnection make the transient voltage stability of the receiving-end power grid more and more complicated. In order to realize the rapid assessment of transient voltage stability, a one-dimensional Convolutional Neutral Network (CNN) for transient voltage stability assessment (TVSA) is constructed by selecting the features reasonably on the basis of using the Agglomerative Hierarchical Clustering (AHC) algorithm to partition the receiving-end grid. In order to enhance the assessment work, the Gradient-weighted Class Activation Mapping (Grad-CAM) algorithm is utilized to find out the concerns of the model to features, and the model knowledge of the neural network is analyzed on the basis of surveying on a large number of samples. Based on the transient voltage stability mechanism and the concerns of deep learning model, the factors that cause transient voltage instability are analyzed. The effectiveness of the proposed method is demonstrated by the case study of a provincial grid in eastern China. © 2024 IEEE.

关键词： Transient stability

来源：评论

学校读者我要写书评

暂无评论

A Noise-Excitation Generative Adversarial Network for Actuator Fault Diagnosis of Multi-legged Robot

引用

无人系统（英文） 2023年第2期11卷 159-173页

作者： Liling Ma Jian Guo Jiehao Li Junzheng Wang State Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of TechnologyBeijing 100081P.R.China

This research provides a novel approach for detecting multi-legged robot actuator *** most significant concept is to design the Fault Diagnosis Generative Adversarial Network(FD-GAN)to fully adapt to the fault diagnosis problem with insufficient *** found that it is difficult for methods based on classification and prediction to learn failure patterns without enough data.A straightforward solution is to use massive amounts of normal data to drive the diagnostic *** introduce frequency-domain information and fuse multi-sensor data to increase the features and expand the difference between normal data and fault data.A GAN-based framework is designed to calculate the probability that the enhanced data belongs to the normal *** uses a generator network as a feature extractor,and uses a discriminator network as a fault probability evaluator,which creates a new use of GAN in the field of fault *** the many learning strategies of GAN,we find that a key point that can distinguish the two types of data is to use the hidden layer noise with appropriate discrimination as the *** also design a fault location method based on binary search,which greatly improves the search efficiency and engineering value of the entire *** have conducted a lot of experiments to prove the diagnostic effectiveness of our architecture in various road conditions and working *** compared FD-GAN with popular diagnostic *** results show that our method has the highest accuracy and recall rate.

关键词： Actuator fault diagnosis multi-legged robot generative adversarial network attention mechanism

来源：评论

学校读者我要写书评

暂无评论

Development of High-Speed On-Of Valves and Their Applications

引用

Chinese Journal of Mechanical Engineering 2022年第4期35卷 21-41页

作者： He Wang Zhen Chen Jiahai Huang Long Quan Bin Zhao Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China

With the widespread application of the computer and microelectronic technology in the industry,digitization becomes the inevitable developing trend of the hydraulic *** of the hydraulic components is critical in the digital hydraulic ***-speed on-of valves(HSVs)which convert a train of input pulses into the fast and accurate switching between the on and of states belong to widely used basic digital hydraulic *** some ways,the characteristics of the HSVs determine the performance of the digital hydraulic *** paper discusses the development of HSVs and their ***,the HSVs with innovative structures which is classifed into direct drive valves and pilot operated valves are discussed,with the emphasis on their ***,an overview of HSVs with intelligent materials is presented with considering of the switching frequency and fow ***,the applications of the HSVs are reviewed,including digital hydraulic components with the integration of the HSVs and digital hydraulic systems controlled by the HSVs.

关键词： High-speed on-of valve Digital hydraulic component Switching frequency Flow rate Innovative structure intelligent material

来源：评论

学校读者我要写书评

暂无评论

A Bio-inspired Mutual-hook Strategy for the Soft Finger to Improve Load-bearing Capacity and Grasping Stability

引用

Journal of Bionic Engineering 2024年第3期21卷 1290-1304页

作者： Jie Huang Lingjie Gai Xiaofeng Zong Yunquan Li School of Automation China University of GeosciencesWuhan430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074China The Shien-Ming Wu School of Intelligent Engineering South China University of TechnologyGuangzhou510641China

Soft grippers have great potential applications in daily life,since they can compliantly grasp soft and delicate ***,the highly elastic fingers of most soft grippers are prone to separate from each other while grasping objects due to their low stiffness,thus reducing the grasping stability and load-bearing *** tackle this problem,inspired from the venus flytrap plant,this work proposes a mutual-hook mechanism to restrain the separation and improve the grasping performance of soft *** novel soft gripper design consists of three modules,a soft finger-cot,two Soft Hook Actuators(SHAs)and two sliding ***,the soft finger-cot covers on the soft finger,increasing the contact area with the target object,two SHAs are fixed to the left and right sides of the finger-cot,and the sliding mechanisms are designed to make SHAs stretch *** demonstrate that the proposed design can restrain the separation of soft fingers substantially,and the soft fingers with the finger-cots can grasp objects three times heavier than the soft fingers without the proposed *** proposed design can provide invaluable insights for soft fingers to restrain the separation while grasping,thus improving the grasping stability and the load-bearing capacity.

关键词： Soft robotics Soft bionic finger-cot Soft hook actuator Grasping stability Load-bearing capacity

来源：评论

学校读者我要写书评

暂无评论

Interval analysis for neural networks with application to fault detection

引用

Science China(Information Sciences) 2024年第11期67卷 222-237页

作者： Zhenhua WANG Youdao MA Song ZHU Thach Ngoc DINH Yi SHEN Department of Control Science and Engineering Harbin Institute of Technology National Key Laboratory of Complex System Control and Intelligent Agent Cooperation School of Mathematics China University of Mining and Technology The CEDRIC-Lab Conservatoire National des Arts et Métiers (CNAM)

This paper investigates an interval analysis method for neural networks and applies it to fault detection for systems with unknown but bounded measurement noise. First, a novel interval analysis method is presented, which can compute the bounds of the output of a feedforward neural network subject to a bounded input. By applying the proposed interval analysis method to a network trained with fault-free system data, adaptive thresholds for fault detection are computed. Finally, one can acquire fault detection results via a fault detection strategy. The proposed method can achieve tight bounds of the network output and employ simple operations, which leads to accurate fault detection results and a low computational burden.A numerical simulation and an experiment on an AC servo motor are given to illustrate the effectiveness and superiority of the proposed method.

关键词： interval analysis feedforward neural network fault detection adaptive thresholds

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Reactive Power Compensation Optimization for Power Grid with Large Scale Offshore Wind Farms 7

Multi-Objective Reactive Power Compensation Optimization for...

引用

7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022

作者： Zhou, Heng Tan, Zukuang Liu, Yutian Control of Ministry of Education of Shandong University Key Laboratory of Power System Intelligent Dispatch Jinan250061 China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

Offshore wind power has a wide developing space in the future because of the increasing demand for green energy. In this paper, a multi-objective reactive power compensation optimization method of power grid integrated with large scale offshore wind farms is presented to optimize the capacity of reactive power compensation. The optimization objectives are considered including voltage deviation, voltage stability, active power loss and total reactive power compensation. Fuzzy optimization model is introduced based on fuzzy evaluation function and fuzzy analytic hierarchy process. Simulation results of Shandong power grid of China demonstrate that the proposed reactive power compensation optimization method can improve the voltage stability and economic effectiveness. © 2022 IEEE.

关键词： Offshore wind farms

来源：评论

学校读者我要写书评

暂无评论

Time-Varying Formation Tracking control of Heterogeneous Multi-Agent systems With Intermittent Communications and Directed Switching Networks

引用

IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 294-296页

作者： Yuhan Wang Zhuping Wang Hao Zhang Huaicheng Yan the Shanghai Research Institute for Intelligent Autonomous Systems Tongji University the National Key Laboratory of Autonomous Intelligent Unmanned Systems the Frontiers Science Center for Intelligent Autonomous System of Ministry of Education the College of Electronic and Information Engineering the Department of Control Science and Engineering Tongji University the Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education the School of Information Science and Engineering East China University of Science and Technology

Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... 详细信息

关键词： Switches Topology Observers Formation control Event detection Switched systems Multi-agent systems control theory Autonomous systems Stability

来源：评论

学校读者我要写书评

暂无评论

A Wind Power Ramp Events Detection Method Based on Improved SDA and Endpoint Correction

A Wind Power Ramp Events Detection Method Based on Improved ...

引用

IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Shuaijie Shan Ming Yang Lidanlan Tao Menglin Li Chuanqi Wang Yixiao Yu Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

To improve the wind power ramping event detection accuracy, this paper presents a method for the detection of wind power ramping events by adopting adaptive gate width parameters, trend merging and ramping event's endpoint modification. First, the unique parameter $\boldsymbol{\varepsilon}$ of the swinging door algorithm (SDA) is obtained by calculating the average absolute value of the difference of the initial data (AAVD), the detected SDA compression segments are screened for extreme values, and the trend segments to be measured are obtained by merging the endpoint of the compression segment with the extreme value. Second, with the bump event detection definition and trend merge rules, the set of ramping events is preliminarily determined. Finally, in accordance with the established definition of a ramp, the endpoints of each of the above sets of ramping events have been modified. The inherent defects of traditional SDA detection methods are solved, and the optimal ramping events are obtained. The results demonstrate that, in comparison to the two control detection methods, the proposed detection scheme is capable of both adaptive acquisition of the SDA's $\boldsymbol{\varepsilon}$ in accordance with the data characteristics and the detection of the endpoints of ramp events with high precision.

关键词： Accuracy Event detection Merging Asia Wind power generation Logic gates Market research Optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：