检索结果-内蒙古大学图书馆

International Conference on power and Energy Technology (ICPET)

作者： Jie Zhang Yihua Zhu Zhuohang Liang Qingqing Zhang Qinfeng Ma Mingshun Liu Su An Jiang Dai State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Operation and Control for New Energy Power System Guangdong Provincial Key Laboratory of Intelligent Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guiyang China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

Convergence speed, accuracy, generalization and decision transparency are very important indices for transient stability preventive control generation methods based on AI. This paper proposes a transient stability preventive control generation method based on graph deep reinforcement learning and its interpretation method using mutual information optimization. Firstly, a transient stability preventive control generation model is built based on the framework of deep reinforcement learning algorithm. The grid domain buses are mapped to the graph domain nodes and the grid graph data samples are generated. The graph convolutional neural network via initial residual and identity mapping (GCNII) is used to build the action network and the evaluation network. Secondly, based on the GCNII network, a transient stability assessment model is built and pre-trained, and graph data samples containing varies of topological structures and power flow states are applied to train the model. Then the interpretation method based on mutual information optimization is used to analyze the decision-making basis of the transient stability assessment model. The dominant factor affecting the transient instability of power system is extracted and its contribution degree is quantified, and the abduction analysis of transient stability is realized. Finally, the pre-trained transient stability assessment model is embedded in the deep reinforcement learning framework as a guide, and the power flow adjustment method is used to preferentially correct the weak factors and their influencing factors so that the transient stability prevention control strategies are obtained. The feasibility and effectiveness of the proposed method are verified in the IEEE-39 node test system.

关键词： Prevention and mitigation Stability criteria Decision making power system stability Deep reinforcement learning Data models Transient analysis Optimization Mutual information Load flow

来源：评论

学校读者我要写书评

暂无评论

A Storage and Transmission Joint Planning Method for Centralized Wind power Transmission

引用

Computers, Materials & Continua 2021年第7期68卷 1081-1097页

作者： Xiuyu Yang Qi Guo Jianzhong Gui Renyong Chai Xueyuan Liu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China Electrical Engineering-PHD program at the University of Idaho Idaho83843America State Grid Jiangxi Power Supply Company Xinyu338025China

Centralized delivery has become the main operation mode under the scaled development of wind *** channels are usually the guarantee of out-delivered wind power for large-scale wind *** configuration of transmission capacity,which has the features of low utilization and poor economy,is hardly matching correctly due to the volatility and low energy density of *** usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity,but facing the issue of energy storage cost ***,it is necessary to optimize the allocation of energy storage while considering the problem of wind power *** paper studies the joint optimization of large-scale wind power transmission capacity and energy storage,reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of ***,analyze the multi-functional cost-sharing mode of energy storage,improve the efficiency of energy storage cost *** the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage,and realizes the transmission capacity optimization coordination and optimization with energy *** proposed method is verified by a wind base located in Northeast China.

关键词： Wind farm group energy storage configuration transmission capacity coordination and optimization

来源：评论

学校读者我要写书评

暂无评论

Overvoltage Suppression Strategy Based on Active control of Current for Half-Wave Commutated Modular Multilevel Converters

Overvoltage Suppression Strategy Based on Active Control of ...

引用

IEEE International Conference on power and Energy systems (ICPES)

作者： Bao Liu Yunfei Xu Guoliang Zhao Nan Fu Chen Jia State Key Laboratory of Advanced Power Transmission Technology China Electric Power Research Institute Beijing China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang China

ISBN: (数字)9798350391329

ISBN: (纸本)9798350391336

Flexible low-frequency AC transmission technology combines the advantages of 50 Hz AC transmission and DC transmission, and has good application scenarios. High voltage and large capacity AC/AC converters are the core equipment of flexible low-frequency AC transmission systems. The proposal of half-wave commutated modular multilevel converters effectively reduces the number of components and improves system economy. In view of this, this paper proposes an overvoltage suppression strategy for active control of inductor current, which effectively reduces the overvoltage level during commutation. The article first introduces the sparse topology and mathematical model of the half-wave commutated modular multilevel converters. Secondly, the mechanism of overvoltage generation is analyzed. Then, overvoltage suppression strategies are proposed. Finally, a PSCAD simulation model is built to verify the effectiveness and feasibility of the proposed method through simulation.

关键词： Multilevel converters Reactive power Bridge circuits Valves Mathematical models Topology Safety Voltage control Inductors PSCAD

来源：评论

学校读者我要写书评

暂无评论

Grid-forming control of VSC-HVDC systems Connecting Asynchronous power Grids

Grid-forming Control of VSC-HVDC Systems Connecting Asynchro...

引用

power system and Green Energy Conference (PSGEC)

作者： Mingqun Liu Guanming Zeng Xin He Liang Tu Peng He Yihua Zhu Electric Power Research Institute Yunnan Power Grid Co. Ltd. Kunming State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9798350365573

ISBN: (纸本)9798350365580

Interconnecting asynchronous power grids with the VSC-HVDC transmission is an important trend. To enhance the weak grid operation performance and grid frequency response capability of the VSC-HVDC system, a novel grid-forming without using the phase-locked-loop is applied in both ends of the VSC-HVDC system. The DC voltage-Active power droop-based grid-synchronization method is utilized. With the proposed method, the sending and the receiving end MMCs perform like a synchronous motor and a synchronous generator, respectively. When the frequency changes in either grid, the system can automatically response to it and change the active power transmission by VSC-HVDC to achieve primary frequency regulation and active frequency support. Finally, the validity of the dual-end grid-forming control is verified based on the simulations in PSCAD/EMTDC.

关键词： power transmission control systems Synchronous motors Market research power grids Synchronous generators Synchronization Phase locked loops Frequency control Grid forming

来源：评论

学校读者我要写书评

暂无评论

Research on Active Participation of Distributed Photovoltsics in power Grid Primary Frequency control Strategy

SSRN

引用

SSRN 2024年

作者： Zhang, Runtao Wang, Lei Zeng, Siming Cheng, Ziwei Su, Can Li, Zhiwei Zhang, Hao State Grid Hebei Electric Power Research Institute Shijiazhuang China Hebei Key Laboratory of Simulation Modeling and Control for Energy Internet Shijiazhuang China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding071003 China

Distributed photovoltaic systems can actively contribute to the primary frequency regulation of the power grid by reserving capacity. Traditional power reduction methods often employ fixed load reduction ratios, potentially resulting in inadequate frequency regulation capacity and unnecessary reserve power. This paper centers on optimizing power reserve control, starting with the construction of a two-stage model for a photovoltaic grid-connected inverter power generation system. It includes the design of a maximum power estimation method and the implementation of photovoltaic power reduction operation. The article proposes a strategy to utilize photovoltaic backup capacity for achieving primary frequency modulation effects in a short time scale. Additionally, it adopts a variable power reserve ratio operation strategy over the long term, aiming to enhance photovoltaic power generation and optimize solar energy utilization without compromising the grid's frequency and quality. Finally, a MATLAB/Simulink model is developed to validate the effectiveness of the control strategy. simulation results indicate that the proposed strategy satisfies frequency regulation requirements, enhances power generation efficiency, and improves the economic viability of photovoltaic operations. © 2024, The Authors. All rights reserved.

关键词： Frequency modulation

来源：评论

学校读者我要写书评

暂无评论

The Function Mechanism of Virtual Impedance in Grid-forming Droop control and An Adaptive Parameter Tuning Method for Virtual Impedance Based on Network Equivalent Identification

The Function Mechanism of Virtual Impedance in Grid-forming ...

引用

power Science and Technology (ICPST), IEEE International Conference on

作者： Chenhui Fan Xiaohui Qin Lei Qi Hongzhi Liu Baodi Ding Zhengji Meng State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Carbon Neutrality Research Center of Power System China Electric Power Research Institute Beijing China Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

The penetration rate of renewable energy and other power electronic sources in the system continues to increase, the strength of the power grid is weakened, and the system security is challenged. Some converters urgently need to adopt grid-forming control, for example, the droop control. However, due to the different impedance characteristics of the power system environment and the varying electrical distances between the grid source and load, the grid-forming converter cannot adapt to traditional droop control in multi-point parallel operation, this condition can be improved by adding virtual impedance. This paper first derives the main function mechanism of virtual impedance taking droop control as an example, and proposes a virtual impedance adaptive parameter tuning method based on network equivalent identification, then verifies the method through MATLAB/Simulink simulation. The proposal of this method is of great significance for reflecting the operational status of the system, improving the adaptability of renewable energy equipment and stations, and enhancing their fault ride-through ability. It also has important value for improving other grid-forming technologies.

关键词： Renewable energy sources Adaptive systems power system stability Stability analysis Impedance Security Proposals

来源：评论

学校读者我要写书评

暂无评论

Data-driven Transient Stability Assessment Model Considering Network Topology Changes via Mahalanobis Kernel Regression and Ensemble Learning

引用

Journal of Modern power systems and Clean Energy 2020年第6期8卷 1080-1091页

作者： Xianzhuang Liu Xiaohua Zhang Lei Chen Fei Xu Changyou Feng State Grid Corporation of China State Grid Jibei Electric Power Company the State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua University

Transient stability assessment(TSA)is of great importance in power system operation and *** of the usual tasks in TSA is to estimate the critical clearing time(CCT)of a given fault under the given network topology and pre-fault power ***-driven methods try to obtain models describing the mapping between these factors and the CCT from a large number of ***,the influence of network topology on CCT is hard to be analyzed and is often ignored,which makes the models inaccurate and *** this paper,a novel data-driven TSA model combining Mahalanobis kernel regression and ensemble learning is proposed to deal with the *** model is a weighted sum of several *** sub-model only uses the data of one topology to construct a kernel *** weights are determined by both the topological similarity and numerical similarity between the *** similarities are decided by the parameters in Mahalanobis distance,and the parameters are to be *** reduce the model complexity,sub-models within the same topology category share the same *** estimating CCT,the model uses not only the sub-model which the sample topology belongs to,but also other ***,it avoids the problem that there may be too few data under some *** also efficiently utilizes information of data under all the ***,its decision-making process is clear and understandable,and an effective training algorithm is also *** results on both the IEEE 10-machine 39-bus and a real system verify the effectiveness of the proposed model.

关键词： Transient stability assessment critical clearing time network topology change Mahalanobis kernel regression ensemble learning data-driven

来源：评论

学校读者我要写书评

暂无评论

Transient Voltage Stability Assessment Method based on gcForest

Transient Voltage Stability Assessment Method based on gcFor...

引用

2021 International Conference on Electrical, Electronics and Computing Technology, EECT 2021

作者： Zhiyuan, Sun Mingpo, L.I. Jie, Zhang Binjiang, Hu Guo, Qi Yihua, Zhu Guangxi Power Grid Electrical Power Research Institute China State Key Laboratory of HVDC Electric Power Research Institute CSG China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory of Power System Simulation

Aiming at the fact that the traditional method cannot quickly and accurately judge the power system transient voltage stability, and the deep neural network method needs many sample data sets and has a large number of hyperparameters, a power system transient voltage stability assessment method based on deep forest (gcForest) is proposed. gcForest effectively extracts features through ensemble learning, multi-layer feature transformation, and dynamically adjusting the number of model layers. Finally, this method is applied to transient voltage stability assessment of an electrolytic aluminium load-intensive area in Guangxi power Grid. The results show that the method has high accuracy, the feasibility and effectiveness of this method are verified. This method can assist dispatchers to judge the transient voltage stability of the power grid. © Published under licence by IOP Publishing Ltd.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Economic Analysis of Energy Storage Peak Shaving Considering Full Life Cycle Cost 5

Economic Analysis of Energy Storage Peak Shaving Considering...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Li, Junhui An, Chenyu Zhang, Jingxiang Li, Cuiping Zhao, Haiji Yu, Jun Jin, Xuezhu Hou, Kaiyuan Xu, Fei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China Northeast Branch of State Grid Corporation of China Liaoning Shenyang110180 China Haidian District Beijing100084 China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

As an effective means to improve the wind power consumption capacity of power system, the economy of energy storage participation auxiliary service has received extensive attention from academic circles. In this paper, the cost composition of the whole life cycle of the electrochemical energy storage system is comprehensively considered, and the economic analysis of different Wheres of electrochemical energy storage participating in peak shaving auxiliary services is conducted according to the operation rules of the power market in northeast China. Firstly, four widely used electrochemical energy storage systems were selected as the representative, and the control strategy of source-side energy storage system was proposed for real-time peak modulation in wind farms. Secondly, the peak shaving economic model based on the life cycle cost of energy storage is constructed. Finally, by selecting the annual data of a wind farm in northeast China, the economic benefits of different Wheres of electrochemical energy storage are analyzed and compared, and the reasonable opinions on improving the benefits of energy storage are given. © 2022 IEEE.

关键词： Life cycle

来源：评论

学校读者我要写书评

暂无评论

IES Load Forecasting Considering Multifaceted Load Coupling Characteristics

IES Load Forecasting Considering Multifaceted Load Coupling ...

引用

Energy, Electrical and power Engineering (CEEPE), International Conference on

作者： Xinnan Yu Yunjing Liu Rao Fu Yuxuan Zeng Jinxin Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China State Grid Jilin Electric Power Co. Ltd. Jilin China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

The Integrated Energy system (IES) multifaceted load forecasting technology is a critical foundation for ensuring the balance and stable operation of the system supply and demand. Due to the complex coupling relationships among various loads, this paper constructs a regional IES multifaceted load forecasting model based on the Grey Relation Analysis (GRA) method and the Bi-directional Long Short-Term Memory (BI-LSTM) neural network to delve into the coupling characteristics between electric, thermal, and cooling loads. Firstly, the Grey Relation Analysis is employed to analyze the correlation of multifaceted loads, determining the prediction priority of multifaceted loads in the integrated energy system. Secondly, based on the exploration of coupling characteristics among multifaceted loads, the k-means clustering algorithm is applied to partition loads with the highest priority into sets with similar fluctuations. Finally, for each load scenario set, a hierarchical prediction strategy is implemented using the BI-LSTM network for scenario set prediction modeling. Case study results indicate that the proposed forecasting model exhibits high prediction accuracy and effectively handles the intense fluctuations in loads, meeting the operational requirements for the system's safety and stability.

关键词： Couplings Fluctuations Supply and demand Load forecasting Predictive models Stability analysis Thermal analysis

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：