检索结果-内蒙古大学图书馆

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

作者： Wang, Haobo Wang, Hongtao Xin, Peiqi Song, Zhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350309638

Stability analysis of grid-connected inverters is advanced through impedance analysis in this study, which leads to the development of a comprehensive mathematical model and simulation. control parameters, notably the voltage inner-loop control parameter Kv, the proportional gain Kp of the phase-locked loop (PLL), and the integral gain K1, were meticulously adjusted to assess their effects on subsynchronous oscillations. It was determined that while the proportional gain p and integral gain K1 have a marginal impact on sub-synchronous oscillations, the voltage inner-loop control parameter K1 significantly influences these oscillations. The insights gained from this analysis contribute to a deeper understanding of, and potential solutions for, synchronous oscillation issues. The ability to mitigate such oscillations facilitates the integration of a higher proportion of renewable energy sources, thereby enhancing the stability and reliability of the electrical power system. This enhancement is of critical importance in the pursuit of sustainable energy transitions and the advancement of clean energy sources. © 2024 IEEE.

关键词： Phase locked loops

来源：评论

学校读者我要写书评

暂无评论

Research on Microgrid Energy Storage Scheduling Strategy Incorporating Electric Vehicles Based on the DQN Algorithm 9

Research on Microgrid Energy Storage Scheduling Strategy Inc...

引用

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

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Song, Zhen Intelligent Dispatch and Control of Ministry of Education Shandong University Key Laboratory of Power System Jinan China

ISBN: (纸本)9798350309638

This study focuses on the scheduling of a microgrid integrated with electric vehicles, employing a reinforcement learning algorithm to devise an optimal economic operation strategy. The approach addresses the challenges of renewable energy generation's randomness and the economic and safety concerns arising from the extensive integration of electric vehicles into the microgrid. The paper explores the reinforcement learning-based energy management of storage devices within the microgrid. A Deep Q-Network (DQN) method is utilized to formulate the microgrid storage scheduling problem as a Markov Decision Process (MDP). The study involves a detailed simulation of a residential user microgrid, considering various parameters such as battery storage capacity, charging and discharging rates, and electric vehicle load models. The reinforcement learning algorithm demonstrates the capability of real-time response to power changes in the microgrid, ensuring operational cost minimization even under multiple input uncertainties. © 2024 IEEE.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

Voltage control in Distributed Photovoltaic Power Distribution Networks Using Multi-Agent Deep Reinforcement Learning 7

Voltage Control in Distributed Photovoltaic Power Distributi...

引用

2024 7th International Conference on Mechanical, Electrical and Material Application, MEMA 2024

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

This study introduces a unique method employing the Multi-Agent Deep Deterministic Policy Gradient (MADDPG), a sophisticated deep reinforcement learning algorithm, for efficient voltage control in photovoltaic (PV) power distribution networks. The algorithm's design emphasizes minimizing the need for communication and effectively managing delays, which are pivotal in ensuring consistent and reliable control in environments with fluctuating renewable energy sources. In simulations using the IEEE-33 power distribution system, the research demonstrates the algorithm's ability to ensure stable and efficient network functioning, even under varying environmental and load conditions. This highlights its potential as a robust solution for modern and renewable energy-integrated power systems. © Published under licence by IOP Publishing Ltd.

关键词： Renewable energy

来源：评论

学校读者我要写书评

暂无评论

Virtual Oscillator Grid-Forming Inverter Stability Analysis Based on Impedance Model 7

Virtual Oscillator Grid-Forming Inverter Stability Analysis ...

引用

7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Guo, Shuiyuan Ye, Hua Yang, Jialun Chu, Xiaodong Mou, Qianying Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350359558

Grid-forming (GFM) inverters are DC-AC converters that regulate their AC terminal frequency and voltage in response to real-time measurements. Virtual oscillator control (VOC) is an emerging strategy of grid-forming controllers. Unlike conventional phasor-based control methods such as droop control and virtual synchronous machine control, VOC is a time-domain controller that global convergence can be almost guaranteed by adding a nonlinear element. In this article, the state space model of a VOC-based inverter system connected to an infinite bus is established to access the steady-state values. In order to study the effect of nonlinear terms on the system stability, a detailed impedance model of the VOC controller is proposed. Numerical simulations validate the impedance model. Through the impedance-based method, how the nonlinear term can influence system stability is analyzed. © 2024 IEEE.

关键词： Time domain analysis

来源：评论

学校读者我要写书评

暂无评论

Transient Overvoltage Quantitative Analysis Based on Short-Circui Ratio of New Energy Generation Stations 3

Transient Overvoltage Quantitative Analysis Based on Short-C...

引用

3rd Asia Power and Electrical Technology Conference, APET 2024

作者： Wu, Yuhan Li, Yajie Shandong University Key Laboratory of Power System Intelligent Dispatch and Control The Ministry of Education Jinan China

ISBN: (纸本)9798350367690

With the increasing proportion of grid-connected renewable energy sources such as photovoltaic and wind power, the stability issues caused by large-scale development of new energy sources have become prominent. Among these issues, transient overvoltage is the primary constraint limiting the large-scale development of new energy sources. Studies have shown that the occurrence of transient overvoltage is closely related to the system strength of grid-connected points for new energy sources. The weaker the system strength, the greater the risk of stability problems such as transient overvoltage. The short-circuit ratio is an important indicator for assessing the grid strength of new energy integration points. Monitoring the short-circuit ratio can effectively evaluate the strength of the new energy station's integration into the system. Therefore, based on the short-circuit ratio of new energy generation stations, this paper quantitatively analyzes the relationship between the short-circuit ratio and transient overvoltage. In future research, the short-circuit ratio can be used as a constraint condition, with transient overvoltage as an indicator, to facilitate the determination of reactive power compensation solutions for high-proportion new energy integration systems. Finally, MATLAB/simulink simulations validate the accuracy of the analysis. © 2024 IEEE.

关键词： Wind power integration

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Forecast of Wind Power in High Wind Scenarios of Cold Wave Weather 7

Probabilistic Forecast of Wind Power in High Wind Scenarios ...

引用

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

作者： Zhou, Haoyang Yang, Ming Yu, Yixiao Li, Menglin Wang, Chuanqi Zhang, Yuanhe Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9798350345094

As the proportion of installed renewable energy in the power system increases, the weather attributes of the new power system become more and more. and the current meteorological changes are becoming more and more complex, with frequent occurrence of cold wave weather, triggering large fluctuations in wind power output. The traditional wind power forecast method is difficult to adapt to the cold wave weather scenario. The large deviation of the forecast brings a great challenge to the wind power consumption. In this paper, we analyze the characteristics of wind power forecast error fluctuation and the mechanism of error generation based on wind power forecast and measured data during cold wave weather. On this basis, we extract the wind power data and numerical weather prediction data under the cold wave weather, and select the strong correlation meteorological factors based on the Pearson correlation coefficient to determine the inputs of the forecast model. Use the generative adversarial network algorithm to expand the samples, so the wind power dataset under the cold wave weather is constructed. Finally, the quantile regression wind power probabilistic forecast model based on the support vector machine is constructed, and an example is set up to verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Wind power

来源：评论

学校读者我要写书评

暂无评论

Fault line selection algorithm for single-phase grounding faults in distribution networks based on multi-feature fusion of multi-level wavelet decomposition coefficients

Fault line selection algorithm for single-phase grounding fa...

引用

2024 International Conference on Electrical Technology and Automation Engineering, ETAE 2024

作者： Li, Jinyao Wu, Shouyuan Gao, Lixue Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Shandong Jinan250061 China

This paper introduces a novel method for determining fault lines, addressing the time-consuming nature of traditional steady-state quantity methods and the susceptibility to errors in transient quantity methods. A multi-feature fusion technique, involving multi-level wavelet decomposition coefficients, is employed. This involves the extraction of zero-sequence current wavelet transform coefficients with the Discrete Wavelet Transform (DWT), and the formation of a similarity function through the S-transform. Subsequently, an energy measure function is derived by integrating these coefficients. A function representing faultiness, aligned with various fault lines, is then developed and used as the primary criterion for identifying the faulted line. Simulation data from a single-phase grounding fault model in a distribution network confirms the efficacy of the method in choosing fault lines. © Published under licence by IOP Publishing Ltd.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

A Tutorial on Quantized Feedback control

引用

IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 5-17页

作者： Minyue Fu IEEE the School of System Design and Intelligent Manufacturing Shenzhen Key Laboratory of Control Theory and Intelligent Systems and Centre for Control Science and TechnologySouthern University of Science and TechnologyShenzhen 518055China

In this tutorial paper, we explore the field of quantized feedback control, which has gained significant attention due to the growing prevalence of networked control systems. These systems require the transmission of feedback information, such as measurements and control signals, over digital networks, presenting novel challenges in estimation and control design. Our examination encompasses various topics, including the minimal information needed for effective feedback control, the design of quantizers, strategies for quantized control design and estimation,achieving consensus control with quantized data, and the pursuit of high-precision tracking using quantized measurements.

关键词： Consensus control high-precision control networked control quantized estimation quantized feedback control robust control

来源：评论

学校读者我要写书评

暂无评论

Parameter Optimization for Temporary Primary Frequency control of Wind Turbines Based on Analytical Derivation 4

Parameter Optimization for Temporary Primary Frequency Contr...

引用

2023 4th International Conference on Mechanical Instrumentation and Automation, ICMIA 2023

作者： Wei, Xinyu Jin, Zhaoyang Li, Gengkun Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University China

DFIG has the capability to participate in power system frequency modulation through inertial control by returning the energy stored in the rotating mass of the generator that is delivered to the grid. When frequency modulation occurs, the primary frequency drop can lead to a reduction in the rotor kinetic energy stored in the DFIG, which is subsequently used to produce extra active power to sustain the system frequency. However, once the available rotor kinetic energy is released, the output power of the DFIG abruptly drops to restore the rotor speed. To reduce the extent of the secondary frequency deviation caused by the inertial control of DFIGs, this paper applies an analytically derived approach to optimize the parameters of temporary primary frequency control during rotor speed recovery. Specifically, the parameters optimized include termination time and active power Simulation results conducted using DIGSILENT simulation software have demonstrated that the optimized temporary primary frequency control strategy is capable of effectively reducing the secondary frequency drop that may occur when the DFIG is removed from frequency control. Moreover, setting the optimal termination time and controlling the active power output while the rotor speed is being restored are crucial to prevent excessive mechanical wear and fatigue that may be induced by a too-rapid recovery of rotor speed. © Published under licence by IOP Publishing Ltd.

关键词： Kinetic energy

来源：评论

学校读者我要写书评

暂无评论

Cluster partition method of high-penetration distributed photovoltaics for autonomous operation and control of distribution network 5

Cluster partition method of high-penetration distributed pho...

引用

2023 5th International Conference on Information Science, Electrical, and Automation Engineering, ISEAE 2023

作者： Huang, Manlin Ye, Hua Ye, Peile Mou, Qianying Zhang, Wen Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781510667440

With the widespread integration of distributed photovoltaics (PV), it is urgent to realize the autonomous operation and control of distribution networks with high-penetration PVs. Due to the complex structure of the power system, the cluster management model has emerged. The perquisite lies in intentionally partitioning the network into several clusters. For this purpose, this paper proposes a cluster partition method of distribution networks with high-penetration of PVs. First, a comprehensive performance index for partitioning is proposed. The comprehensive performance index fully considers the degree of intra-cluster node connectivity, power balance and communication cost of clusters. Further, an improved genetic algorithm is applied in this paper to search for the optimal partition scheme. Finally, the effectiveness and rationality of the proposed method have been demonstrated in the IEEE 33-bus distribution network. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

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：