检索结果-内蒙古大学图书馆

IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Tengyun Qi Qiren Wu Jianping Liu Fei Xu Yajing Li He Li Yiming Wang Cuiping Li Junhui Li China Three Gorges Corporation Beijing China China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University) Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (纸本)9781665434263

High penetration wind power grid with energy storage system can effectively improve peak load regulation pressure and increase wind power capacity. In this paper, a capacity allocation method of energy storage system under peak load regulation scenario is proposed. The upper model combines the investment cost, operation cost, arbitrage income, environmental income, and wind power grid benefits during the entire life cycle of the energy storage system, with the goal of maximizing the net income during the energy storage life cycle; the lower model optimizes the charging and discharging power of the energy storage system according to each energy storage configuration scheme in the upper modeling, and its objective is to minimize the standard deviation of system net load and waste wind power. Finally, under the conditions of local grid load and wind power data, verified the effectiveness of capacity allocation strategy.

关键词： Costs system integration Production Wind power generation Lithium batteries Regulation Resource management

来源：评论

学校读者我要写书评

暂无评论

Boosting Conversion Efficiency by Bandgap Engineering of Eco-Friendly Antimony Trisulfide Indoor Photovoltaics

SSRN

引用

SSRN 2024年

作者： Cao, Yu Li, Qiang Zhou, Jing Yu, Xiaoming Yu, Xuan Wang, Sanlong Li, Sen Pang, Jinbo Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China School of Electrical Engineering School of Chemical Engineering Northeast Electric Power University Jilin132012 China School of Marine Engineering Equipment Zhejiang Ocean University Zhejiang Zhoushan316022 China Zhengzhou University of Light Industry China University of Jinan Shandong Jinan250022 China

With the exponential growth of the Internet of Things (IoT), indoor photovoltaics (IPVs) drawing heightened interest due to their adaptability to indoor environments. The Photovoltaic Conversion Efficiency (PCE) of IPV cells is critically dependent on their ability to match the indoor spectrum with the device's response characteristics. In this realm, Antimony Trisulfide (Sb2S3) emerges as a promising candidate for low-light applications. Our study focuses on the design and optimization of Sb2S3 thin-film IPV cells, aiming to refine both the device structure and its photoelectric performance for effective indoor light harvesting. In a strategic shift from conventional CdS materials, we utilized SnO2 as the electron transport layer (ETL) in Sb2S3 IPV cells. This substitution notably enhanced the short-wave response, elevating the spectral response from 45% to 80% at 400 nm. Additionally, we introduced a bandgap-tunable ZnOS buffer layer. This innovation proved instrumental in rectifying the band alignment mismatch between SnO2 and Sb2S3 layers, thereby optimizing interfacial electron transport properties. The resulting optimized Sb2S3 thin-film IPV cell demonstrated exceptional response characteristics across the full visible spectrum (400–750 nm) and showed notable photoelectric performance under both fluorescent lamps (FLs) and light-emitting diodes (LEDs). The device achieved a peak theoretical efficiency of 46.25% under cold white FL lighting, a testament to the optimal match between the device structure and this specific emission power spectrum. This research not only underscores the feasibility of employing antimony (Sb) -based photovoltaic technologies in indoor settings but also offers theoretical guidance for further advancements in this domain. © 2024, The Authors. All rights reserved.

关键词： Antimony compounds

来源：评论

学校读者我要写书评

暂无评论

A high-precision Analytical Method for Fast Calculation of Motor Vibration Based on Tooth Modeling

A high-precision Analytical Method for Fast Calculation of M...

引用

International Conference on Electrical Machines, ICEM

作者： J. F. Hong S. M. Wang Y. G. Sun H. X. Cao State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

ISBN: (数字)9781728199450

ISBN: (纸本)9781728199467

The analytical methods are widely used to predict the vibration and noise of the permanent magnet motors in industry applications. In the traditional analytical method, the influence of the teeth is ignored and a large error of vibration calculation will occur in the slotted motor. In this paper, a high-precision analytical calculation method for electromagnetic vibration of motors based on tooth modeling is proposed. First, the electromagnetic excitation force on each tooth of stator is calculated in the electromagnetic field. Then, the transfer function from the force acting on the teeth to the vibration on the surface of the shell is derived. Next, when the force is applied to a single tooth, the vibration on the surface of the motor can be obtained, and the superposition method is used to superimpose the vibration excited by the force of all teeth to calculate the total vibration acceleration of the motor surface. Finally, the finite element method and experimental method are conducted to verify the effectiveness of the proposed method.

关键词： Vibrations Force Stators Permanent magnet motors Electromagnetics Electromagnetic forces Analytical models

来源：评论

学校读者我要写书评

暂无评论

Fault current suppression for MMC-MTDC with the resistive type superconducting fault current limiter

Fault current suppression for MMC-MTDC with the resistive ty...

引用

2021 Annual Meeting of CSEE Study Committee of HVDC and power Electronics (HVDC 2021)

作者： G. Liu P. Guo Z. Yuan Y. Zhao Shenzhen Power Supply Corporation Shenzhen China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

With effective properties, a resistive-type superconducting fault current limit (R-SFCL) has become an effective device to restrain DC-side bipolar short fault currents in multilevel modular converter multiterminal DC systems (MMC-MTDCs). However, due to the resistance-energy accumulation-dependent characteristics of the R-SFCL device, the fault durations and different fault current values will produce various output resistances at each fault stage, and the related coordinated protection and control strategy needs to be adjusted accordingly. Therefore, in the first part of this paper, we analysed the DC side short circuit current mechanism and the fault current restraint characteristics of R-SFCLs. Subsequently, to verify the above analysis, the R-SFCL-based four-terminal MMC-MTDC with DC bipolar short fault modelling and simulation are presented in the next section. Finally, based on the above analysis and research, the advanced DC bipolar fault control and protection strategies of the R-SFCL-based MMC-MTDC system are discussed to promote further study of coordinated and protection control and the application of R-SFCLs in subsequent engineering applications.

关键词： fault current limiters short-circuit currents HVDC power transmission HVDC power convertors superconducting fault current limiters

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “Hierarchical evaluation framework for coupling effect enhancement of renewable energy and thermal power coupling generation system” [Int. J. Electr. power Energy Syst. 146 (2023) 108717]

引用

International Journal of Electrical power & Energy systems 2024年 158卷

作者： Yao Zou Qianggang Wang Bo Hu Yuan Chi Guiping Zhou Fei Xu Niancheng Zhou Qinqin Xia State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing University China State Grid Liaoning Electric Power Company Limited Shenyang Liaoning China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

来源：评论

学校读者我要写书评

暂无评论

Traveling waves based fault line selection using sparse representation 8

Traveling waves based fault line selection using sparse repr...

引用

8th IEEE International Conference on Advanced power system Automation and Protection, APAP 2019

作者： Xu, Wen Shi, Shenxing Dong, Xinzhou Zhang, Guangmei Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Beijing China

ISBN: (纸本)9781728117225

Traveling wave method has been proved to be effective in fault line selection of power distribution system with the neutral non-effectively grounded. However, it can be easily disturbed by non-faulty traveling wave when selecting the line. For this reason, this paper proposes a new traveling wave line selection method based on sparse representation, in which current traveling wave signals are measured for the selection task. The algorithm of selection is based on the idea that all non-zero terms in the sparse coefficients of the measured signal are found to be associated with training samples from a single class, and the test samples can be easily assigned to the class. This makes it possible to distinguish between the non-faulty traveling wave and the real fault traveling wave. © 2019 IEEE.

关键词： compressed sensing distribution system line selection sparse representation traveling wave

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Restart Method for DC Transmission Line in LCC-HVDC system 8

An Adaptive Restart Method for DC Transmission Line in LCC-H...

引用

8th IEEE International Conference on Advanced power system Automation and Protection, APAP 2019

作者： Cai, Jing Dong, Xinzhou Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Beijing China

ISBN: (纸本)9781728117225

DC-line fault recovery sequence (DFRS) is widely implemented in LCC-HVDC system to realize fast recovery in case of temporary fault. When permanent fault occurs, restart still happens several times as preset, resulting in repeated impacts and reducing the stability and reliability of the system. An adaptive restart for DC line fault is studied in this paper to deal with this problem. Firstly, the converter valves states and DC voltage characteristics under temporary fault and permanent fault are analyzed respectively. Then, a method based on DC voltage control is proposed to distinguish different fault states. Current DFRS strategy is improved by adding this process, through which the fault pole will only restart after the temporary fault disappearing, while directly blocked when a permanent fault is recognized. Fault handling time can be shortened and negative effects of DC line fault are minimized. The simulation results verify feasibility and effectiveness of proposed method. © 2019 IEEE.

关键词： HVDC power transmission

来源：评论

学校读者我要写书评

暂无评论

power Output Monitoring and Anomaly Identification of Photovoltaic systems Using Graphical Modeling 4

Power Output Monitoring and Anomaly Identification of Photov...

引用

4th International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2020

作者： Chen, Yonghua Zhang, Xiaochen Liu, Gang Wu, Rui Liu, Chao Jiang, Dongxiang Nari Technology Co. Ltd Nanjing211106 China Tsinghua University Department of Energy and Power Engineering Beijing100084 China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Energy and Power Engineering Beijing100084 China

ISBN: (纸本)9781728170503

Photovoltaic cells are being increasingly installed worldwide as a type of important renewable resource for power generation. Among the installed photovoltaic systems, data are collected from the control and monitoring system, and the anomaly detection researches are mostly based on the individual photovoltaic cells and the systematic behavior in a group of photovoltaic systems is not well studied. Based on the assumption that the photovoltaic cells installed in the same location are with very close solar radiation, the power output of each subsystem is considered in this work for monitoring the operating status of the subsystem and identifying the anomalous subsystem, where spatiotemporal pattern network, a probabilistic graphical modeling approach, is applied. The results show that the presented framework is able to detect the anomaly and locate the anomalous subsystem. © 2020 IEEE.

关键词： Condition monitoring

来源：评论

学校读者我要写书评

暂无评论

Multi-Stage Expansion Planning for Decarbonizing Thermal generation Supported Renewable power systems Using Hydrogen and Ammonia Storage

arXiv

引用

arXiv 2023年

作者： Yu, Zhipeng Lin, Jin Liu, Feng Li, Jiarong Chi, Yingtian Song, Yonghua Ren, Zhengwei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Sichuan Energy Internet Research Institute Tsinghua University Chengdu610213 China Department of Electrical and Computer Engineering University of Macau 999078 China Department of Electrical Engineering Tsinghua University Beijing100087 China

—Large-scale centralized development of wind and solar energy and peer-to-grid transmission of renewable energy source (RES) via high voltage direct current (HVDC) has been regarded as one of the most promising ways to achieve goals of peak carbon and carbon neutrality in China. Traditionally, large-scale thermal generation is needed to economically support the load demand of HVDC with a given profile, which in turn raises concerns about carbon emissions. To address the issues above, hydrogen energy storage system (HESS) and ammonia energy storage system (AESS) are introduced to gradually replace thermal generation, which is represented as a multi-stage expansion planning (MSEP) problem. Specifically, first, HESS and AESS are established in the MSEP model with carbon emission reduction constraints, and yearly data with hourly time resolution are utilized for each stage to well describe the intermittence of RES. Then, a combined Dantzig-Wolfe decomposition (DWD) and column generation (CG) solution approach is proposed to efficiently solve the large-scale MSEP model. Finally, a real-life system in China is studied. The results indicate that HESS and AESS have the potential to handle the intermittence of RES, as well as the monthly imbalance between RES and load demand. Especially under the goal of carbon neutrality, the contribution of HESS and AESS in reducing levelized cost of energy (LCOE) reaches 12.28% and 14.59%, respectively, which finally leads to a LCOE of 0.4324 RMB/kWh. Copyright © 2023, The Authors. All rights reserved.

关键词： Carbon

来源：评论

学校读者我要写书评

暂无评论

Optimal Sizing of Isolated Renewable power systems with Ammonia Synthesis: Model and Solution Approach

arXiv

引用

arXiv 2023年

作者： Yu, Zhipeng Lin, Jin Liu, Feng Li, Jiarong Zhao, Yuxuan Song, Yonghua The State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Sichuan Energy Internet Reasearch Institute Tsinghua University Chengdu610213 China The Department of Electrical and Computer Engineering University of Macau 999078 China The Department of Electrical Engineering Tsinghua University Beijing100087 China

Isolated renewable power to ammonia (IRePtA) has been recognized as a promising way to decarbonize the chemical industry. Optimal sizing of the renewable power system is significant to improve the techno-economic of IRePtA since the investment of power sources exceeds 80% of the total investment. However, multi-timescale electricity, hydrogen, and ammonia storages, minimum power supply for system safety, and the multiyear uncertainty of renewable generation lead to difficulties in planning. To address the issues above, an IGDT-MILFP model is proposed. First, the levelized cost of ammonia (LCOA) is directly formulated as the objective, rendering a mixed integer linear fractional programming (MILFP) problem. Information gap decision theory (IGDT) is utilized to handle the multiyear uncertainty of renewable generation. Second, a combined Charnes-Cooper (C&C) transformation and Branch-and-Bound (B&B) method is proposed to efficiently solve the large-scale IGDT-MILFP model, giving robust and opportunistic planning results. Then, Markov Chain Monte Carlo (MCMC) sampling-based posteriori analysis is leveraged to quantify the long-run performance. Finally, a real-life system in Inner Mongolia, China, is studied. The results indicate that the proposed methods could reduce the computational burden by orders of magnitude for solving a large-scale MILFP problem. Moreover, the proposed IGDT-MILFP model is necessary and accurate to obtain an optimal capacity allocation with the lowest expected LCOA (3610 RMB/t) in long-run simulations. Copyright © 2023, The Authors. All rights reserved.

关键词： Ammonia

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：