检索结果-内蒙古大学图书馆

2023 International Conference on power system technology, powerCon 2023

作者： Li, Cuiping Liu, Yang Zhang, Tianxun Zhao, Zhiqiang Liu, Haojun Zhu, Xingxu Li, Zhi An, Chenyu Li, Junhui Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin132012 China Beijing Technology and Business University Beijing China State Grid Hami Power Supply Company Xinjiang Uygur Autonomous Region Hami Hami839000 China

ISBN: (纸本)9798350300222

With the rise of the application of sharing economy in various fields of power system, As a typical application of shared economy in the field of energy storage, the optimal allocation of shared energy storage on the source-network-load side has been a great topic. The problem dealt with in this paper is the configuration result of the source-grid-load energy storage system under the same control strategy. This paper designs an optimization method for the source-network-load side configuration of generalized shared energy storage in regional power grid: Firstly, according to the extensional usage scenario and demand of energy storage, the alternative set of shared energy storage configuration is constructed. Secondly, based on the profit model of shared energy storage, a power system source-network-load optimization scheduling strategy is proposed. Finally, a numerical example is carried out to prove the feasibility and efficacy of the suggested method. © 2023 IEEE.

关键词： Profitability

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis Method for DC Distribution Networks Based on Semitensor Product Bayesian Networks

Fault Diagnosis Method for DC Distribution Networks Based on...

引用

International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA)

作者： He Wang Shiqiang Li Huanan Yu Jing Bian Bo Wei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

As distributed generators and new loads spread, grid operations have grown more complex, transitioning from AC to hybrid AC/DC and pure DC distribution grids [1] .

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fault Location Method for Dc Distribution Network Based on Compressed Sensing Group Sparse Representation

SSRN

引用

SSRN 2024年

作者： Wang, He Liu, Yiqi Li, Shiqiang Yu, Huanan Bian, Jing Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Ministry of Education Jilin Province Jilin132012 China

The common faults in a direct current (DC) distribution network consist of pole-to-pole faults and pole-to-ground faults. Under conditions of sparse configuration of measurement devices, existing fault location methods are unable to simultaneously locate pole-to-ground faults and pole-to-pole faults, and issues such as indistinct fault characteristics under the influence of transition resistance and noise are encountered. In response to these challenges, a fault location method for DC distribution networks is proposed based on compressed sensing group sparse representation. Firstly, the pole-to-mode transformation is utilized to convert the positive and negative pole electrical quantities of the DC distribution network into zero-mode and one-mode electrical quantities. Equivalent circuits for pole-to-ground faults and pole-to-pole faults are established separately, enhancing the fault characteristics corresponding to the two different short circuit faults. Secondly, the obtained impedance matrices for zero-mode and one-mode are constructed into a group sparse dictionary. By utilizing compressed sensing group sparse representation, the sparse current vector of high-frequency mode quantities is obtained, enabling the correct identification of fault types and accurate location of fault sections. Finally, a simulation model of the DC distribution network is built on the PSCAD platform to validate the effectiveness of the proposed fault location method. © 2024, The Authors. All rights reserved.

关键词： Electric power distribution

来源：评论

学校读者我要写书评

暂无评论

Emergency Direct Current power Support for High-Percentage renewable energy systems Based on Deep Reinforcement Learning

SSRN

引用

SSRN 2024年

作者： Sun, Zhenglong Zhuang, Junzhi Chao, Pan Chao, Jiang Cai, Guowei The Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

As a low-cost emergency frequency control method, emergency direct current power support (EPS) is crucial for frequency stabilization of alternating current (AC)–direct current (DC) hybrid systems. In the context of highly integrated renewable energy sources, the uncertainty of AC-DC hybrid systems increases and the inertia decreases during the transition process, and the existing EPS methods face prominent adaptation and mismatch problems in meeting the frequency restoration requirements. To fill this gap, this study proposes a deep reinforcement learning (DRL)-based EPS frequency control method. The EPS decision is transformed into a Markov decision process (MDP) and solved using the proximal policy optimization (PPO) algorithm. This paper designs a DRL reward function for EPS while taking into account the EPS line overload and phase change failure problems. In order to solve the contradiction between limited observation and global safety, this paper designs a data characterization method based on mechanism fusion. Meanwhile, this paper develops an open-source power system simulation platform with DRL control function by using Python and the power system simulation software DIgSILENT/powerFactory to realize the EPS frequency stabilization decision based on DRL control. Through a case study of the IEEE 39-bus system and a real power system in Northwest China, it is verified that the proposed DRL-based EPS agent is able to quickly, accurately, and securely restore the frequency and reduce the frequency oscillations while considering the security constraints. © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

A framework of day-ahead wind supply power forecasting by risk scenario perception

引用

IEEE Transactions on Sustainable energy 2025年

作者： Yang, Mao Huang, Yutong Wang, Zhao Wang, Bo Su, Xin Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin132012 China China Electric Power Research Institute State Key Laboratory of Operation and Contr Ol of Renewable Energy & Storage Systems Beijing100912 China

Wind power forecasting (WPF) systems are essential to maintain the safe and stable operation of the power system in case of large-scale grid-connected wind farms. However, the current forecasting has the problem of disunity between statistical value and application value, that is, it only pays attention to its forecasting accuracy and ignores the risks caused by it in the power system. In order to solve the above problems, this study proposes a framework of wind supply power forecasting (WSPF) for wind farm cluster, which takes into account the risk scenario perception. First of all, aiming at the predicted risk phenomenon in WPF, TimesNet combined with the fluctuation information of Numerical Weather Prediction (NWP) wind speed is used to identify the corresponding risk scenarios. Secondly, the effective consumption area and power supply risk area evaluation index, as well as the accuracy of WSPF are defined, and the optimal forecasting curve correction scheme is fitted according to the index. Thirdly, taking into account the correction scheme and identification results, a variety of predictors are used to verify the WSPF according to the above framework. Finally, the proposed method is applied to a wind farm cluster in Inner Mongolia Autonomous region of China, the average accuracy of WSPF has increased by 37%, which verifies the effectiveness and universality of this method. © 2010-2012 IEEE.

关键词： Wind forecasting

来源：评论

学校读者我要写书评

暂无评论

Peak shaving and power allocation strategies for optimizing lifespan and reducing energy loss in BESS

Peak shaving and power allocation strategies for optimizing ...

引用

4th energy Conversion and Economics Annual Forum (ECE Forum 2024)

作者： Gan Guo Junhui Li Gang Mu Gangui Yan Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 People's Republic of China

ISBN: (数字)9781837242924

To manage the challenge of optimizing energy efficiency, an optimization strategy for power allocation in battery clusters is proposed to reduce energy loss in Battery energy Storage systems (BESS). Meanwhile, an improved peak shaving strategy is also proposed, aiming to increase the utilization of energy storage during the peak shaving process and reduce the ineffective utilization hours of energy storage, thereby extending the lifespan of the storage system. Furthermore, based on real-system data, a Simulink/Simscape model is developed to simulate component losses. Under a peak shaving scenario, the effectiveness of the strategy is demonstrated: it reduces the daily operational loss by 3.84% and improves energy round-trip efficiency by 0.4%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers

引用

energy and AI 2023年第4期14卷 221-237页

作者： Zhenglong Sun Ram Machlev Qianchao Wang Juri Belikov Yoash Levron Dmitry Baimel Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)JilinChina The Andrew and Erna Viterbi Faculty of Electrical&Computer Engineering Technion-Israel Institute of TechnologyHaifa 3200003Israel Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing210096China Department of Software Science Tallinn University of TechnologyAkadeemia tee 15a12618 TallinnEstonia Department of Electrical and Electronics Engineering Sami Shamoon College of EngineeringBeer-Sheva84100Israel

In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical ***,at present,a core obstacle that prevents the direct comparison of such classification techniques is the lack of a standard database that can be used as a *** view of this,we offer here a public experimental data-set that has beendesigned specifically for the comparison of synchronous motor electrical fault *** data-set comprises five types of motor electrical faults:open phase between inverter and motor;short circuit/leakage current between two phases;short circuit/leakage current in phase-to-neutral;rotor excitation voltage disconnection;and variation of rotor excitation *** addition,each fault has been recorded as a four-dimensional signal:three phase voltages;three phase currents;motor speed;and motor *** package includes two deep-learning reference classifiers that are based on a convolutional neural network(CNN)and long short term memory(LSTM).Due to the good performance of these classifiers,we suggest that they can be used by the community as benchmarks for the development of new and better motor electrical fault classification *** database and the reference classifiers are examined and insights regarding different combinations of features and lengths of recording points are *** developed code is available online,and is free to use.

关键词： Motor faults Synchronous motors Public data-set Classification Deep-learning CNN LSTM

来源：评论

学校读者我要写书评

暂无评论

Unbalanced Strategy of Vehicle-to-Grid on Evolution Game

Unbalanced Strategy of Vehicle-to-Grid on Evolution Game

引用

Annual Conference of Industrial Electronics Society

作者： Xinling Li Yuzhi Zhou Libin Tian Hongwei Li Wei Zhang Hongpeng Liu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

The utilization of vehicle-to-grid (V2G) technology is an environmentally friendly approach to achieve the transition towards low-carbon energy systems. However, it is still unknown what impact the V2G policy will have on the charging market of electric vehicles (EVs) and whether it is competitive with other electricity sales strategies. Aiming at the above problems, the electricity price model of EVs in electricity market including V2G strategy is established. Firstly, a 2–3 unbalanced strategy evolutionary game (2–3 USEG) model integrating vehicle-network interaction is proposed. The asymptotically stable equilibrium points of asymmetric evolutionary games for two groups with unbalanced game strategies are obtained. Multiple game strategies between the power grid enterprises (PGE) and New power supply entities (NPSE) are studied Besides, the corresponding asymptotic stability conditions are given by the Lyapunov stability criterion. Finally, the simulation proves that the ample implemented V2G strategy not only has strong competitiveness, but also enables the charging electricity price market of electric vehicles to have the “virtual high” electricity price adjustment ability.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A disturbance localization method for power system based on group sparse representation of compressed sensing 2

A disturbance localization method for power system based on ...

引用

2nd IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2023

作者： Wang, Zeyi Jiao, Mingxi Wang, Daliang Liu, Minxu Jiang, Minglei Wang, He Li, Shiqiang State Grid Jilin Electric Power Co. Ltd. Changchun Power Supply Company Changchun China Institute of State Grid Jilin Electric Power Co. Ltd. Economic and Technical Research Changchun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (纸本)9781665462532

This paper proposes a new disturbance localization method for power system based on group sparse representation of compressed sensing. Based on the analysis of disturbance characteristics of power system, the sparse dictionary of compressed sensing group is constructed by the admittance matrix, impedance matrix, and power variation matrix. In addition, the traditional generalized orthogonal matching pursuit reconstruction algorithm is improved to obtain the group sparse coefficients corresponding to the above dictionaries for compressive sensing sparse reconstruction, and the corresponding weights of each class in the group sparse dictionary are determined based on the entropy weight method to realize the accurate location of power system disturbances. In this paper, the IEEE 39 node power systems are built on the PSCAD/EMTDC simulation platform for experimental verification, and three common disturbances of cutting generator capacity, cutting load capacity and single-phase grounding short circuit are analyzed respectively. The simulation results show that the proposed method can achieve the accurate location of common disturbances in power systems with limited measurement device configurations, and has the advantages of less computation and strong robustness to noise. © 2023 IEEE.

关键词： Entropy

来源：评论

学校读者我要写书评

暂无评论

Optimization control Strategy of Pumped Storage power Station Considering Cost Allocation

Optimization Control Strategy of Pumped Storage Power Statio...

引用

2023 International Conference on power system technology, powerCon 2023

作者： Yan, Jun Song, Qinglong Guo, Qi Xin, Lijian Meng, Fancheng Yu, Shuo Zhou, Jiaxu Li, Cuiping Li, Junhui Co. Ltd. Hohhot China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin China Co. Ltd. Power Dispatching and Control Branch Hohhot China Co. Ltd. Inner Mongolia Electric Power Research Institute Branch Hohhot China

ISBN: (纸本)9798350300222

Against the backdrop of the increasing proportion of new energy generation, pumped storage, as the main energy storage method, face problems of low utilization and poor economic benefits. To improve the enthusiasm and overall efficiency of pumped storage power stations, this article proposes an optimized control strategy for pumped storage power stations that takes into account cost sharing. This strategy combines the PSS allocation system operation rules and control strategies to improve the utilization of PSS capacity by expanding its application scenario range, and to increase its enthusiasm for extraction by increasing rental income;This article takes a regional power grid in northwest China as an example for analysis, and the results show that the proposed strategy can effectively improve the utilization level and economic benefits of PSS. © 2023 IEEE.

关键词： Cost effectiveness

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：