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检索条件"机构=Key Laboratory of System Intelligent Dispatch and Control"

共 3435 条记录，以下是31-40 订阅

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Transient Synchronizing Stability Quantitative Assessment of Converter-Based Resources by Basin of Attraction 11

Transient Synchronizing Stability Quantitative Assessment of...

引用

11th China International Conference on Electricity Distribution, CICED 2024

作者： Ma, Rui Zhang, Hao Hao, Quanrui School of Electrical Engineering Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350368345

As the converter-based renewable power generation has been extensively integrated into grid, the transient synchronizing stability accidents of gird induced by voltage source convert (VSC) are emerging more and more frequently and severely. In this paper, the transient synchronizing dynamics of the VSC are depicted by a reduced-order model. Then, its transient synchronizing stability is examined and analyzed by the large-signal basin of attraction (BOA) of the VSC. The system shows two kinds of boundaries of the BOA under different parameters, including the closed-loop area and the fish-like area. The boundary of the closed-loop area is depicted by the equipotential plane estimation based on the energy function. The boundary of the fish-like area is estimated through the method of hyperplane in the first quadrant. Meanwhile, the transient synchronizing stability criteria can be established based on the estimated boundaries and the numerically integral fault trajectories. Furthermore, the critical clearing angle (CCA) is analytical calculated through the analytically derived fault trajectory under the worst fault conditions. Meanwhile, the critical clearing times (CCT) can also be analytical calculated. Both the analytical CCA and CCT can provide enough margin for the transient control and protection. Finally, several simulations have verified the effectiveness and accuracy of the proposed method in MATLAB. © 2024 IEEE.

关键词： Transient stability

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Black Start Scheme of Wind-storage Combined system Based on Virtual Synchronous Generator control 2

Black Start Scheme of Wind-storage Combined System Based on ...

引用

2nd Asia Conference on Electrical, Power and Computer Engineering, EPCE 2023

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

ISBN: (纸本)9798350310818

With a high proportion of wind power generations connected to the grid, wind power generation is expected to be a black-start source. This paper proposed a black start scheme based on virtual synchronous generator (VSG) control for wind-storage combined system. The energy storage inverter was transformed into a VSG with the secondary frequency regulation ability by improved frequency synchronous control (IFSC), and a conventional VSG controller was designed for the rotor side inverter of doubly fed induction generator. And a control mode switching device was designed for the energy storage in order to maintain the grid stability after black start. This paper built the model of wind-storage combined system on the Matlab/Simulink for black start simulation. The simulation results show that the maximum frequency deviation is 68.75% lower than the conventional control when the ancillary machines of wind turbines were restored. What's more, the maximum frequency deviation shall not exceed 0.12%, and the maximum voltage deviation shall not exceed 8% during the black start process and the controllers can realize no-error frequency adjustment. Finally, control mode switching device can smoothly switch IFSC to VSG. Thus, the effectiveness of the proposed black start scheme and controllers are verified. © 2023 IEEE.

关键词： controllers

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An inrush current identification scheme for converter transformer based on magnetization curve model matching 3

An inrush current identification scheme for converter transf...

引用

3rd International Conference on Mechanical, Electronics, and Electrical and Automation control, METMS 2023

作者： Liu, Shiming Zhang, Chao Zeng, Qiqi Zhao, Wenchen Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781510666689

Influenced by the complex environment on the AC/DC hybrid power system, converter transformer is susceptible to inrush current or DC bias interference, resulting in false blocking of differential protection during internal fault. In order to distinguish inrush current and internal fault accurately, this paper proposes an inrush current identification scheme for converter transformers based on the flux-current characteristic model matching method. Firstly, the magnetization curve model is selected to fit the nonlinear magnetization characteristics of the transformer, and a model matching scheme based on voltage comparison is designed. Then the model matching degree index (referred to as matching per unit value M in this paper) is constructed to quantitatively describe the model matching degree, and the inrush current identification criterion based on the model matching degree M is proposed. Finally, the action reliability of the proposed identification criterion is verified by simulation experiments. © 2023 SPIE.

关键词： DC transformers

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Short-Term Load Forecastiong Based on Residual Graph Convolutional Neural Network

Short-Term Load Forecastiong Based on Residual Graph Convolu...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Bian, Mengqing Chu, Xiaodong Ye, Hua Intelligent Dispatch and Control of Ministry of Education Shandong University Key Laboratory of Power System Jinan China

ISBN: (纸本)9798350300222

As various industries experiencing post-pandemic economic recovery, power systems face increased challenges. Short-term power load forecasting for regional power grids can assist in anticipating load fluctuations and optimizing power system management planning. This paper tackles the gradient vanishing issue in deep graph convolutional neural networks (GCNs) by incorporating a residual module to create a residual graph convolutional neural network (ResGCN). Data from a regional power grid in the United States is utilized for validation purposes. Experimental results show that the graph convolutional neural network with the residual module generates predictions closer to the actual values, consequently enhancing prediction accuracy and confirming the efficacy of the proposed ResGCN. © 2023 IEEE.

关键词： Convolutional neural networks

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Multi-Objective Upgrade Planning Strategy for Harnessing Operational Flexibility of Coal-Fired Power Generators 8

Multi-Objective Upgrade Planning Strategy for Harnessing Ope...

引用

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

作者： Ren, Zhengxing Chu, Xiaodong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control The Ministry of Education Jinan China

ISBN: (纸本)9798350345520

The high penetration of renewable energy in power systems leads to significant net load fluctuations. Coal-fired power generators conventionally designed for baseload operations are expected to be flexible with cycling operations. Necessary upgrades received by the power generators to improve their operational flexibility will cause associated costs. An upgrade planning strategy is proposed in this paper for harnessing operational flexibility of coal-fired power generators. First, a multi-objective optimization model of coal-fired power generators is established in which the upgrade cost, operating cost, and the upgraded load following capacity of three stages are comprehensively integrated. Next, an improved multi-objective particle swarm optimization algorithm is used to solve the proposed model. Finally, a multi-criteria decision making method is applied to select the best upgrade plan. The case study results of the IEEE 39-bus system demonstrate the feasibility and effectiveness of the proposed planning strategy. © 2023 IEEE.

关键词： Multiobjective optimization

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GPU-Based N-1 AC Power Flow with an Improved-Convergence Fast Decoupled Method Considering Memory Limitations in Large Power Grids

GPU-Based N-1 AC Power Flow with an Improved-Convergence Fas...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Meng, Xinyuan Yun, Zhihao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350300222

The fast and random variation in large-scale power system operation caused by the integration of renewable energy brings challenges for the accuracy and real-time performance of N-1 security analysis (SSA). To meet the requirements., the N-l AC power flow calculation can be accelerated effectively by taking advantage of the powerful parallel ability of the GPU. The fast decoupled power flow method is suitable for GPU-based N-l AC power flow because of its high computational speed and smaller storage space requirements. To solve the problem that the number of iterations may increase dramatically in some heavy-load scenarios., an improved-convergence fast decoupled method is proposed that does not increase the storage occupation considering the memory limitations of the GPU. The effectiveness of the proposed method is verified on several large-scale test systems. The test results demonstrate that the performance of the method proposed in this paper is satisfactory for the online N-l SSA of large power grids. © 2023 IEEE.

关键词： Graphics processing unit

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Design and Application of Wideband Monitoring Master Station in Power systems 6

Design and Application of Wideband Monitoring Master Station...

引用

6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023

作者： Zeng, Yiming Shi, Fang Zhang, Hengxu Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9798350348279

The use of power electronics to integrate increasing renewable energy resources into power grids has changed the wideband characteristic of the power system signals. The traditional wide-area measurement system (WAMS) based on synchronized phasor measurement unit (PMU) can only measure the fundamental frequency component, making it unable to meet the measurement requirements of harmonics and interharmonic components. To address this problem, the wideband synchronized measurement unit (WPMU) has been developed, which supports real-time measurement of harmonic and interharmonic components, in addition to the functionalities of PMU. As a result, upgrading the WAMS master station is necessary to make the integration of wideband measurement available. This paper analyzes the characteristics of wideband measurement data, explores its practical applications and discusses the idea of upgrading the WAMS master station for wideband measurement, including designing its data transmission architecture, selecting a suitable database, and outlining advanced application methods. Finally, the paper presents the analysis of one actual engineering application, where the wideband measurement devices are installed, and the data is sent to the master station in real time. This work provides a reference for the design and development of a wideband WAMS master station, and contributes to the safety and stability of the power grid operation by providing wideband measurement information. © 2023 IEEE.

关键词： Renewable energy resources

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A Bayesian Structural Time Series Approach for Forecasting Photovoltaic Power Generation

A Bayesian Structural Time Series Approach for Forecasting P...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Sun, Chenghao Chu, Xiaodong Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

As a renewable energy source, photovoltaic (PV) power generation is becoming increasingly essential in power systems. Accurate forecasting of PV power output is crucial for effective regulation and control of these systems. This paper explores the applicability of the Bayesian structural time series model for PV power generation forecasting using causal inference techniques. The research examines various factors that influence PV power generation and assesses their causal relationships. The developed forecasting model for PV power generation integrates the Bayesian structural time series approach. The accuracy of the proposed model is validated through case studies, demonstrating the successful incorporation of causal inference in PV power generation prediction. This study lays the foundation for future research on utilizing causal inference to evaluate the impacts of specific system changes. © 2023 IEEE.

关键词： Time series

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Interaction and Stability Analysis Between Grid-Forming and Grid-Following Converters

Interaction and Stability Analysis Between Grid-Forming and ...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Zhao, Yujing Ye, Hua Yang, Jialun Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

Different from traditional grid-following (GFL) converter, grid-forming (GFM) converter can provide inertial support through various control modes, which means that it could improve system stability. However, the existing studies mainly focus on stability of system composed of homogeneous converters. Very few studies have analyzed the interaction between different types of converters. Therefore, this paper mainly analyzes the interaction and stability analysis between GFM converter and GFL converter. Firstly, the stability criterion is derived according to the equivalent impedance circuit model. Secondly, the sequence impedance models of both converters are established and further verified with sweep results. Thirdly, the interaction and stability of the system including GFM and GFL converter are analyzed by Nyquist curve. Finally, the accuracy of the proposed criterion and analysis in theory is validated by electromagnetic transient simulation. © 2023 IEEE.

关键词： Electromagnetic simulation

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Fault Location Algorithm for Series-Compensated Transmission Lines Using Prony Algorithm

Fault Location Algorithm for Series-Compensated Transmission...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Fan, Shuxian Yun, Zhihao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350300222

In order to shorten the electrical distance and improve the transient stability of the system, series compensation devices are often added to long-distance high-voltage transmission lines. When a fault occurs on the line, the protection action is fast, and the fault waveform data window is short. The series compensation capacitor causes the fault waveform to contain attenuated low-frequency oscillation components, which seriously affects the accuracy of extracting the fundamental components of voltage and current after the fault. Since compensation capacitor parameters is often inaccurate, these two factors greatly reduce the accuracy of fault location based on impedance methods. Therefore, this paper proposes a method for extracting voltage and cur-rent fundamental components based on Prony algorithm to suppress the influence of attenuated low-frequency oscillation components. Then, by using the positive and negative sequence voltage-current relationship before and after the fault to construct the location equation, the series compensation parameters and fault distance are sequentially solved, and the fault section is verified to improve the accuracy of fault location. Simulation results show that the proposed method has good practicality and accuracy, and is not affected by fault type, fault section, and fault distance. © 2023 IEEE.

关键词： Electric lines

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