检索结果-内蒙古大学图书馆

4th International Conference on Power engineering, ICPE 2023

作者： Pei, Yangzhou Yang, Jun Ma, Binyu Peng, Xiaotao Jiang, Kezheng Liu, Dan Cao, Kan School of Electrical Engineering and Automation Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan China State Grid Hubei Electric Power Research Institute Wuhan China

ISBN: (纸本)9798350340020

Power system emergency control is the core of the second and third defense lines. The deep reinforcement learning (DRL) based control scheme breaks through the limitations of traditional control strategy simulation calculation methods based physical models, and shows great advantages in dealing with high-dimensional nonlinear system control problems. However, there is a lack of research on dealing with the renewable energy grid-connected power system control problem with operation scenarios variations, especially the frequent topological changes. Based on the DRL method, the under-voltage load shedding (UVLS) emergency control scheme considering the operation scenarios variations is proposed. And the graph convolutional network (GCN) is adopted to learn the representation of power grid topological states and solve the problem of topology feature extraction. Moreover, renewable energy grid-connected scenarios with medium proportion, high proportion and extremely high proportion permeability are set up. Case studies on the modified IEEE 39-bus system are employed to demonstrate the performance and effectiveness of the proposed method. © 2023 IEEE.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Emergency Blocking Control Strategy Against Power System Cascading Failure Based on Risk Assessment 3

Emergency Blocking Control Strategy Against Power System Cas...

引用

3rd Power System and Green Energy Conference, PSGEC 2023

作者： Pei, Yangzhou Yang, Jun Ji, LuYu Tu, JingZhe School of Electrical Engineering and Automation Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan China China Electric Power Research Institute Beijing China

ISBN: (纸本)9798350340099

Emergency blocking control is of great significance for blocking cascading failure process and preventing system collapse. An emergency blocking control scheme against cascading failure based on risk assessment is proposed, in terms of maintaining the stability and economy of the power system. Firstly, the cascading failure involving the renewable generators is simulated, integrating the dc power flow, the line operation reliability model, and the hidden fault of the relay protection device. Then, the average load loss index by simulating multiple system cascading failure is obtained. Based on the calculated operation risk, the double dueling deep q network (D3QN) based reinforcement learning framework for emergency blocking control scheme is designed. And the prioritized experience replay mechanism is selected for learning improvement. Finally, case study on the IEEE 36-bus system is carried out to verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Risk assessment

来源：评论

学校读者我要写书评

暂无评论

Reactive Current Proportional Coefficient Adjustment Based on Reinforcement Learning 9th

Reactive Current Proportional Coefficient Adjustment Based o...

引用

9th Purple Mountain Form on Smart Grid Protection and Control, PMF 2024

作者： Mengqi, Qing Da, Huang Xiyue, Wang Guoli, Hu Yongyan, Liu Deping, Ke State Grid Hunan Electric Power Company Limited Research Institute Hunan Changsha China Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Hubei Engineering and Technology Research Wuhan University Hubei Wuhan China School of Electrical Engineering and Automation Wuhan University Hubei Wuhan China

ISBN: (纸本)9789819616701

This article focuses on the selection of reactive current ratio coefficient, explaining the impact of fixed current coefficient on wind turbine voltage recovery from the perspectives of maximizing dynamic reactive power capacity during faults and extreme voltage surges during fault recovery, which bring high voltage ride through risks. Subsequently, the establishment of a dynamic current coefficient adjustment model was completed within the framework of reinforcement learning, and reasonable modifications were made to the algorithm mechanism to address the problem. The PPO algorithm was selected for intelligent agent training in both continuous state space and discrete action space. Finally, the superiority of the algorithm and the effectiveness of improving wind turbine transient voltage support and accelerating transient voltage recovery by changing the reactive current ratio coefficient were verified in simulation testing. The variable reactive current ratio coefficient can achieve maximum reactive power support during the duration of faults, and better tap into the reactive capacity of doubly fed wind turbines. © State Grid Electric Power 2025.

关键词： Windmill

来源：评论

学校读者我要写书评

暂无评论

A Static Voltage Stability Enhancement Method for Power Systems with a High Proportion of Voltage Source Converters

引用

IEEE Transactions on Power Systems 2025年

作者： Liu, Yunxin Yao, Liangzhong Liao, Siyang Xu, Jian Cheng, Fang Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Hubei Wuhan430072 China

One of the main characteristics of power systems with a high proportion of renewable energy is that the power system is becoming a power system with a high proportion of voltage source converters (VSCs). Owing to the current limitation of VSCs, the reactive power regulation range is limited, thus greatly weakening the effective reactive power reserve and reducing the static voltage stability. In this paper, the PQ regulation characteristics of the VSC are first analyzed considering the current limitation. By establishing the PQ characteristic analytical model of a single grid-connected VSC system, the changes in the system reactive power reserve and system static voltage stability evolution law under different penetration ratios of VSCs are analyzed. On this basis, according to the proposed reactive power support sensitivity of each source bus, it is proposed to optimally determine the voltage and effective reactive power reserve of each source bus to realize effective enhancement of the static voltage stability margin of the power system with a high proportion of VSCs. Simulation analyses are carried out in a system with multiple grid-connected VSCs and an extended IEEE-39 bus system, which validate the effectiveness and accuracy of the proposed method. © 1969-2012 IEEE.

关键词： Power system analysis

来源：评论

学校读者我要写书评

暂无评论

Bat Algorithm-Based Shunt active Power Filter for Harmonics Control in PV Grid-Connected Systems under Nonlinear Load 9

Bat Algorithm-Based Shunt Active Power Filter for Harmonics ...

引用

9th Asia Conference on Power and Electrical engineering, acPEE 2024

作者： Gony, Hashim Ali I. Rashed, Ghamgeen Izat Badjan, Ansumana Ahmed Bahageel, O.M. Hualiang, Hualiang Shaheen, Husam I. Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Hubei Province Wuhan430072 China Wuhan University School of Electrical Engineering and Automation Hubei Province Wuhan430072 China Changsha University Huhan Changsha China

ISBN: (纸本)9798350309638

The increasing prevalence of Nonlinear Loads (NLL) in modern electric grids, particularly in photovoltaic grid-connected systems (PV-GCS), poses challenges with regard to power quality standards. These loads introduce harmonics. In order to guarantee reliable operation, Adequate and effective approaches are needed. emphasizing the importance of addressing these challenges, to ensure the reliability and stability of PV-GCS. This study introduces a novel Bat Algorithm (BA) for mitigating harmonics. BA appears as a powerful technique for reducing distortion in source currents. The BA is carefully employed to achieve accurate suppression of the harmonic components. Furthermore, the algorithm's dynamic and adaptable nature helps to provide fast response while maintaining high performance and increasing overall system reliability. This unique technique exceeds other approaches such as the Golden Eagle (GE) algorithm by displaying a significant decrease in total harmonic distortion (THD) and dc bus voltage (Vdc) regulation. The MATLAB/Simulink platform is extensively used for evaluation. The demonstrated results provide critical understanding for the performance of PV-GCS and achieve optimal reliability under NLL. © 2024 IEEE.

关键词： Electric loads

来源：评论

学校读者我要写书评

暂无评论

Predictive Modelling of Base Station Energy Consumption:Insights and Application of STL-LSTM networks 9

Predictive Modelling of Base Station Energy Consumption:Insi...

引用

9th Asia Conference on Power and Electrical engineering, acPEE 2024

作者： Badjan, Ansumana Rashed, Ghamgeen Izat Gony, Hashim Ali.I. Bahageel, Ahmed O. M. Hualiang, Fang Shaheen, Husam I. Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Hubei Province Wuhan430072 China Wuhan University School of Electrical Engineering and Automation Hubei Province Wuhan430072 China Changsha University Hunan Changsha China

ISBN: (纸本)9798350309638

The increasing demand for wireless communication services has led to a significant growth in the number of base stations, resulting in a substantial increase in energy consumption. Understanding and predicting base station energy consumption is important for optimizing energy usage and developing sustainable communication networks. This study introduces a predictive modeling approach for base station energy consumption by combining Seasonal and Trend decomposition using Loess (STL) and Long Short-Term Memory (LSTM) networks. The methodology involves decomposing the historical data into seasonal, trend, and residual components using STL. LSTM is then utilized to model the relationships between these components, capturing complex temporal dependencies and enabling accurate prediction of future energy consumption based on traffic and network load patterns. Experimental results demonstrate the effectiveness of the proposed STL-LSTM approach, outperforming traditional forecasting models and providing valuable insights into base station energy consumption dynamics. © 2024 IEEE.

关键词： Base stations

来源：评论

学校读者我要写书评

暂无评论

Optimal Reactive Power Allocation in Power Systems Based on Improved Binary Table Particle Swarm Optimization 7

Optimal Reactive Power Allocation in Power Systems Based on ...

引用

7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Yu, Xiaodong Dang, Jie Chen, Mo Wang, Jiale Tang, Fei Wang, Ying Yuan, Peng Central China Branch State Grid Corporation of China Wuhan China Wuhan University Hubei Engineering and Technology Research Center For AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan China

ISBN: (纸本)9798350345094

In the construction of modern power systems, the transient voltage characteristics of backbone networks are becoming more and more complicated, and transient reactive power compensation devices play an important role in supporting the transient voltage. Therefore, this paper proposes an index system based on an improved binary table for evaluating the risk of transient voltage instability and the configuration effect of transient reactive devices;at the same time, it establishes a differentiated transient reactive compensation device configuration model based on this index system, and takes the configuration expense and the transient voltage support effect as the two optimization objectives, and weighs the configuration expense of reactive devices and the transient voltage dips suppression effect, and carries out differentiated reactive device configuration and differentiated reactive device configuration according to the differentiated transient voltage indicators of different nodes to be compensated. according to the differentiated transient voltage indexes of different nodes to be compensated, the differentiated reactive power compensation device configuration is carried out by weighing the reactive power device configuration expenditure and the transient voltage drop suppression effect. Finally, the IEEE39 node system is used as a backbone network simulation example, and the improved particle swarm algorithm is applied to solve the model. The method proposed in this paper effectively improves the transient voltage stability margin of the system, which verifies the validity of the method. © 2023 IEEE.

关键词： Transients

来源：评论

学校读者我要写书评

暂无评论

research on the Generation Method of Power Grid Partitioning Schemes under the Background of High Proportion of New Energy Integration 6

Research on the Generation Method of Power Grid Partitioning...

引用

6th International Conference on Energy Systems and Electrical Power, ICESEP 2024

作者： Lu, Zijing Lil, Zishou Tang, Jun Chen, Hongkun State Grid Hubei Electric Power Co. Ltd State Grid Corporation of China Hubei Wuhan430077 China School of Electrical Engineering and Automation Wuhan University Hubei Wuhan430072 China Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Hubei Wuhan430072 China

ISBN: (纸本)9798350353563

Power grid partition is utilized widely for simplifying network structure, facilitating system monitoring and scheduling, and is an inevitable trend in development of large power grid. However, in the context of large-scale new energy integration, the uncertainty and volatility of its output have a significant impact on the operational characteristics of the power grid. Aiming at the shortcomings of traditional power grid partitioning methods that do not consider the impact of new energy integration, a generation method of power grid partitioning schemes considering the background of new energy integration is proposed. Firstly, a typical set of new energy output scenarios is obtained based on scenario generation and scenario reduction;Afterwards, the definition of electrical distance is given, the electrical distance matrix of the network is constructed, and a correction coefficient is defined based on the typical scenario set of new energy output to modify the electrical distance matrix. Then, the Dijkstra algorithm is used to expand it to the full dimensional electrical distance matrix;Finally, affinity propagation algorithm is used to complete the power grid partitioning, and a case study is conducted on an improved IEEE 39 node system to verify the effectiveness and rationality of the proposed method. © 2024 IEEE.

关键词： Power grids

来源：评论

学校读者我要写书评

暂无评论

Data Augment Method for Power System Transient Stability Assessment Based on DeepSMOTE 4

Data Augment Method for Power System Transient Stability Ass...

引用

4th International Conference on Power engineering, ICPE 2023

作者： Ma, Binyu Yang, Jun Shen, Jinpeng Pei, Yangzhou Peng, Xiaotao Jiang, Kezheng Liu, Dan Cao, Kan School of Electrical Engineering and Automation School of Electrical Engineering and Automation Wuhan University Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan China State Grid Hubei Electric Power Research Institute Wuhan China

ISBN: (纸本)9798350340020

Data-driven transient stability assessment (TSA) method has become the focus of power system stability and security research in recent years. However, in actual power system, transient unstable data only accounts for a small portion of all data. Unbalanced data is not conducive to the machine learning model's judgment of instability situations. A data augment method based on DeepSMOTE is proposed to generate high-quality unstable datasets. Then, an extreme learning machine (ELM) classifier is used to select the generated dataset with the highest G-mean value, which is used to fuse with the original dataset to construct a balanced dataset with a similar number of transient stability and instability samples. Finally, TSA is implemented based on the balanced dataset. It has been verified in the modified IEEE 39-bus system simulation example containing new energy that DeepSMOTE can effectively generate data that follows the distribution characteristics of the original data of power system, thereby improving the recognition rate of unstable samples in TSA. Moreover, it has strong robustness under wide area noise and effectively balances power system instability data. © 2023 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Exploration of the migration characteristics of electric vehicles and the impact of distributed energy resources on carbon emissions 4

Exploration of the migration characteristics of electric veh...

引用

4th International Conference on Smart Grid and Energy engineering, SGEE 2023

作者： Yu, Caiyang Wang, Xinyu Deng, Huipeng Zhong, Lei Luo, Yinghao Sun, Jinzhou Taizhou Power Supply Company State Grid Zhejiang Electric Power Co. Ltd. Zhejiang China Hubei Engineering and Technology Research Center for Ac Dc Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Hubei China

ISBN: (纸本)9798350359619

With a large number of renewable energy and electric vehicles connected to the power grid, the difficulty of peak regulation, voltage regulation, safe and economic operation of the distribution network is rising. Due to the V2G (Vehicle to Grid) operation mode of electric vehicles, it can be used as a mobile energy storage device, and its orderly operation can improve the stability of the distribution network with large-scale distributed photovoltaic and wind power access. It is of great significance to solve many difficult problems in distribution network. Therefore, in a 33-node system, this paper considers and verifies the effects of different migration characteristics of electric vehicles on power grid operation costs and carbon emissions. © 2023 IEEE.

关键词： Electric power distribution

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：