检索结果-内蒙古大学图书馆

5th Asia Energy and Electrical Engineering Symposium (AEEES)

作者： Liu, Jianan Wang, Mingqiang Guo, Junshao Ge, Junyu Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781665490542

With the rapid increase of renewable energy sources (RESs), traditional sequential dispatching of active distribution network (ADN) is facing more and more challenges. This paper establishes a unified economic dispatching model for short-term operations of distribution network (DN) with multiple active management measures. Network reconfiguration is also considered to improve the flexibility of ADN. Multiple time resolution is applied to simultaneously determine the operation state of controllable units, network topology, and the output of active management devices. In order to better capture RES and load fluctuations, the proposed model uses 5min, 15min and 30min time resolution in the first three hours, respectively. The entire dispatching model can be transformed into a mixed integer linear programming (MILP) problems via several linearization methods. The proposed model is tested on the IEEE 33-node distribution system. The validity and effectiveness of the proposed model are illustrated by case studies.

关键词： multiple time resolution economic dispatch active management measures network reconfiguration

来源：评论

学校读者我要写书评

暂无评论

Flexible Third Harmonic Voltage Modulation of Boost Seven-Level Active Neutral-Point-Clamped Inverter With Reduced Voltage Ripple

引用

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2023年第2期70卷 1150-1160页

作者： Niu, Decun Gao, Feng Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China

The switched-capacitor of boost seven-level active neutral-point-clamped inverter has the large voltage ripple due to its inherent long discharging interval. Aiming at reducing the switched-capacitor voltage ripple and subsequently the capacitance, this article proposes a flexible third harmonic voltage modulation method. In specific, the long discharging interval can be divided into short intervals or even avoided by flexibly regulating the amplitude and phase-angle of third harmonic voltage based on various modulation indexes and power factors. An offline particle swarm optimization algorithm is employed to find the corresponding optimal amplitude and phase-angle of third harmonic voltage, which will further be put into the online look-up table to simplify the real time implementation. Experimental results verified the performance of the proposed modulation method.

关键词： Switches Modulation Inverters Harmonic analysis Capacitors Voltage Voltage control Active neutral-point-clamped (ANPC) inverter capacitor voltage ripple switched-capacitor third harmonic voltage

来源：评论

学校读者我要写书评

暂无评论

A High-Dimensional Spatio-Temporal Feature Extraction Method of Distributed PV and Load

A High-Dimensional Spatio-Temporal Feature Extraction Method...

引用

2024 IEEE IAS Industrial and Commercial power system Asia, I and CPS Asia 2024

作者： Tao, Lidanlan Yang, Ming Shan, Shuaijie Wang, Xian Wang, Yao Zhang, Huiwen Sun, Donglei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Econ & Technol Res Inst Power Grid Planning Research Department Jinan China

ISBN: (纸本)9798350352290

Distributed PV and load are closely related, in order to better achieve the balance and stable operation of the grid, in the daytime peak electricity consumption hours, the power generation of PV sites can provide additional power supply, thereby reducing the load pressure of the grid. However, there is a lack of effective methods to evaluate the relationship between regional PV and load. In order to achieve source-load feature matching, this paper presents a method of source-load feature matching. Initially, this paper identifies the wave characteristics of the curve through Fourier decomposition and constructs a spatio-temporal feature matrix, incorporating various additional features. Subsequently, it employs the combination of K-medoids clustering and the elbow method to categorize photovoltaic sites based on their distinctive traits, resulting in output curves that encapsulate a wide range of characteristics. Concludingly, the paper leverages derivative dynamic time warping (DDTW) for feature matching, determining the similarity between distributed photovoltaic output curves and load power curves by identifying the shortest path. The effectiveness of this feature matching approach is validated using actual data from photovoltaic sites and load, based on the aforementioned algorithmic model. © 2024 IEEE.

关键词： Fourier analysis

来源：评论

学校读者我要写书评

暂无评论

Ultra-short-term wind farm cluster interval power prediction based on cluster division and MQ-WaveNet-MSA

引用

ELECTRIC power systemS RESEARCH 2025年 244卷

作者： Wang, Chao Lin, Hong Yang, Ming Chen, Li Xinjiang Univ Sch Elect Engn Urumqi 830047 Peoples R China Changji Univ Sch Energy & Control Engn Changji 831100 Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

The grid integration of large-scale wind farms has posed challenges to the safety and stability of power systems. To address these challenges, this study proposes a clustering-based direct multi-step interval prediction method for wind farm clusters to quantify the uncertainty in regional wind power generation. In the proposed method, the empirical orthogonal function is combined with the K-means algorithm to divide a wind farm cluster. In addition, the training, validation, and test sets are constructed for each sub-cluster based on the division results. Further, by combining the long-term perception advantages of the multi-horizon quantile-WaveNet (MQWaveNet) model and the global information enhancement capability of the multi-head self-attention (MSA) mechanism, the MQ-WaveNet-MSA model is developed to predict an ultra-short-term interval of a wind farm cluster to realize the direct multi-step prediction of multiple quantiles. Finally, twelve wind farms in the Xinjiang area are selected for a case study. The results show that the proposed model has higher interval prediction accuracy than the existing prediction models, which verifies its effectiveness.

关键词： Cluster division Interval power prediction Multi-headed self-attention WaveNet model

来源：评论

学校读者我要写书评

暂无评论

A Value Set Approach for Stability Region Determination for Time Delayed power systems with Multiple Uncertain Parameters 7

A Value Set Approach for Stability Region Determination for ...

引用

7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Shi, Xiubao Ye, Hua Gao, Lei Hou, Kaiyuan Wang, Kefei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China China Electric Power Research Institute Power System Department Beijing China State Grid Cooperation of China Dispatch and Communication Center Northeast Branch Shenyang China

ISBN: (纸本)9798350359558

This paper develops a stability region computation method for time delayed power systems based on the value set method. It is designed to accommodate systems with multiple uncertain parameters and time delays. This method serves to analyze the small signal stability margin of power systems and offer guidance for system parameter design. Different from many previous works, this method achieves relatively high efficiency without any conservativeness. First, it processes polynomials with exponentials through polynomial transformations. Second, by continuously subdividing and discriminating the uncertain space, the parameter stability region of the system is obtained. Finally, the effectiveness and accuracy of the proposed method are validated through simulation examples in MATlab/Simulink. © 2024 IEEE.

关键词： Time delay

来源：评论

学校读者我要写书评

暂无评论

Forecasting-Aided Joint Topology/State Estimation for Distribution systems via Bayesian Non-Parametric Modeling

引用

IEEE TRANSACTIONS ON SMART GRID 2024年第1期15卷 1014-1029页

作者： Zhang, Tingting Zhang, Wen Zhao, Qi Li, Zhengshuo Zhao, Junbo Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

To ensure the validity of distribution system state estimation (DSSE) in case of frequent topology changes, it is important to develop DSSE methods with topology identification capability. This paper proposes a forecasting-aided joint topology/state estimation method for distribution systems considering topology changes. The joint estimation problem is formulated under the Dirichlet-process hidden-Markov-model (DP-HMM), which requires establishing state-space models for a partial set of topologies (i.e., predefined topologies) and constructing probability distribution of the other possible topologies (i.e., unseen topologies). A particle filter (PF)-based method is proposed to resolve this joint estimation problem, which augments the particles to include both topology-related variables and nodal voltages. Its robustness against measurement outliers is enhanced by adopting the anti-zero bias modification. The base distribution for unseen topologies are constructed via probabilistic neural networks (PNNs). To improve the accuracy of PNNs, the synthetic minority oversampling technique is employed to rebalance the training data. Aiming at efficiency enhancement, a rule-based candidate set reduction method is proposed for the unseen topologies to improve topology sampling validity. Test results on the IEEE 33-bus, IEEE 123-bus, and a modified 2516-bus distribution systems show that the proposed method has good state and topology estimation accuracy while achieving good scalability.

关键词： Active distribution system Dirichlet-process hidden-Markov-model forecasting-aided estimation joint topology/state estimation

来源：评论

学校读者我要写书评

暂无评论

A Novel Directional Pilot Protection for Flexible DC Distribution Grid 9

A Novel Directional Pilot Protection for Flexible DC Distrib...

引用

9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Wei, Xiuyan Zou, Guibin Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Ji'nan250061 China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin132012 China

ISBN: (纸本)9798350309638

The existing directional pilot protection (DPP) is susceptible to the line distributed capacitance and the fault resistance, and mostly rely on the current limiting reactance (CLR) at the line ends. To solve the above problems, the line-mode fault component power (LFCP) based DPP is proposed for flexible DC distribution grid (FDCDG). First, the characters of LFCP are discussed under different faults. The theoretical analysis show that the polarity of the LFCP under internal fault is same, while the polarity of the LFCP is opposite under external fault. Then, the LFCP is built as the directional criterion, and the corresponding protection scheme is constructed. The electromagnetic transient simulations of the PSCAD/EMTDC verify that the proposed DPP is less affected by the noise, and has low requirement on the sampling rate, strong engineering applicability. © 2024 IEEE.

关键词： Electric power distribution

来源：评论

学校读者我要写书评

暂无评论

Short-Term Wind power Forecast Based on Continuous Conditional Random Field

引用

IEEE TRANSACTIONS ON power systemS 2024年第1期39卷 2185-2197页

作者： Li, Menglin Yang, Ming Yu, Yixiao Li, Peng Wu, Qiuwei Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Tsinghua Shenzhen Int Grad Sch Shenzhen 518055 Peoples R China

The randomness and volatility of wind power severely challenge the safety and economy of power grids. Most short-term forecasting models exclusively concentrate on the correlation of numerical weather prediction (NWP) with wind power, while ignoring the temporal autocorrelation of wind power. To take both of them into consideration, this paper proposes a continuous conditional random field (CCRF) model integrated with the bidirectional LSTM (Bi-LSTM) and Gaussian Kernels (GKs). Firstly, through establishing the weather research and forecasting model, NWP data of high temporal-spatial resolution are generated as the input features of forecasting model. Secondly, Bi-LSTM is employed as the unary potential function to construct the non-linear relationship of the feature sequence with the wind power sequence, and the pre-defined two GKs are supplemented as the pairwise potential function to learn the interaction of wind power sequence. Thirdly, with the two potential functions, the CCRF model is constructed and trained by applying the mean-field theory, avoiding the complex gradient derivation in the learning process. Finally, the proposed CCRF model is tested through case studies and the results show that the forecasting accuracy can exceed that of any selected benchmark model.

关键词： Wind power generation Forecasting Predictive models Wind forecasting Biological system modeling Data models Wind speed Bidirectional LSTM continuous conditional random field Gaussian Kernel function wind power forecast

来源：评论

学校读者我要写书评

暂无评论

Application of Digital Twin in power Equipment Operation and Maintenance 17th

Application of Digital Twin in Power Equipment Operation and...

引用

17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Zhang, Keqi Chen, Jing Liang, Zhenguang Du, Zongzhan Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Shandong Province Jinan250061 China

ISBN: (纸本)9789819903566

At present, with the increasing complexity of power system, the continuous upgrading of power equipment and the continuous improvement of power grid voltage level, the operation and maintenance of power equipment has attracted more and more attention, and the requirements for its accuracy, real-time and visualization are higher and higher. Digital twin is an emerging technology that can perceive, simulate and predict the physical world. It integrates multi-physical, multi-scale and multi-disciplinary attributes, has the characteristics of real-time interaction and closed-loop feedback, and can realize the interaction and integration of the physical world and the information world. Its emergence and development provide a new idea for solving the problem of power equipment operation and maintenance. Firstly, this paper introduces the concept and characteristics of digital twinning, summarizes the application status of digital twinning in power system, discusses the key technologies needed to realize digital twinning of power equipment, and analyzes the feasibility and technical bottleneck. Finally, the development of digital twin and its application prospect in power system are prospected. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Maintenance

来源：评论

学校读者我要写书评

暂无评论

Analysis on Participation Strategy of Independent Energy Storage Station in Electricity Spot Market 8

Analysis on Participation Strategy of Independent Energy Sto...

引用

8th Asia Conference on power and Electrical Engineering, ACPEE 2023

作者： You, Daning Zhang, Guoqiang Song, Shihang Liu, Hanghang Cai, Yanbin Wang, Yuanyuan Zhang, Li State Grid Shandong Electric Power Company Power Dispatching Control Center Jinan China Intelligent Dispatch and Control Shandong University Key Laboratory of Power System Jinan China State Grid Shandong Electric Power Company Dongying Power Supply Company Dongying China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (纸本)9798350345520

To implement the carbon peaking and carbon neutrality goals, improving market mechanism to maximize the utilization of energy storage is attracting more and more attention. This paper addresses the trading strategy of independent energy storage station participating in both energy market and frequency regulation market. A restrictive coefficient of available capacity of energy storage participating in frequency regulation market is introduced, which characterizes the constraints of the energy storage between the two markets. Consequently, the market optimization model with the restrictive coefficient is constructed. Then, different strategies are set based on the capacity allocation of energy storage in the two markets, and the energy storage station's role and revenue are analyzed. Simulations under different participation strategies are done, the results show that with the increase of renewable energy connected to the grid, taking the energy storage more as an excellent frequency regulation resource is beneficial to renewable energy consumption and system operation. © 2023 IEEE.

关键词： Carbon

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：