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$\mathrm{L}_p$ Quasi Norm State Estimator for power systems

Journal of Modern power systems and Clean energy 2021年第4期10卷 871-882页

作者： Zhongliang Lyu Xiaoqing Bai Hua Wei Daiyu Xie Le Zhang Peijie Li School of Electrical Engineering Guangxi University Nanning China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China Power Dispatching Control Center of Guangxi Power Grid Nanning China

This paper proposes an L p (0 2 norm estimators, the proposed estimator can suppress the bad data more effectively. The robustness of the proposed estimator is discussed, and an analysis shows that its ability to suppress bad data increases as $p$ decreases. Moreover, an algorithm is suggested to solve the non-convex state estimation problem. By introducing a relaxation factor in the mathematical model of the proposed estimator, the algorithm can prevent the solution from converging to a local optimum as much as possible. Finally, simulations on a 3-bus DC system, the IEEE 14-bus and IEEE 300-bus systems as well as a 1204-bus provincial system verify the high computation efficiency and robustness of the proposed estimator.

关键词： power systems Mathematical model Robustness Weight measurement State estimation Noise measurement Simulation

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Cooperated Dispatching Model for ACT-Microgrid system Considering Logistics Transportation Flexibility

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IEEE Transactions on Transportation Electrification 2025年

作者： Dai, Wei Yuan, Xiansong Xiong, Huilong Liu, Xipeng Shi, Bochen Goh, HuiHwang Wang, Cheng Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Nanning 530004 China State Grid Nanchang Xinjian Power Supply Company Jiangxi Nanchang 330000 China Taylor’s University Lakeside Campus School of Engineering Subang Jaya 47500 Malaysia China Southern Power Grid Guizhou Power Supply Co Ltd Guizhou Guiyang 550000 China

Automated guided vehicles (AGVs) are essential components for advancing clean and eco-friendly automated container terminals (ACTs). The orderly charging of high-energy-consuming AGVs can significantly enhance the flexibilities of microgrids, thereby promoting the accommodation of renewable energy. Different with traditional EVs, AGVs are required to complete the container transportation assignments within a specified time. In this paper, a novel cooperated dispatching model for the coupled ACT-seaport microgrid system is proposed to improve the economy and safety of the whole system, while satisfying the transportation assignments. For ACT, a multi-period ACT logistics transportation scheduling model that is compatible with the scheduling time window of power systems is proposed considering the heterogeneous power consumption characteristics of AGVs. The heterogeneous power consumption characteristics and charging behaviors of AGVs are captured and coupled with logical transportation constraints and flexible transportation modes. To utilize the temporal-spatial transportation flexibilities of AGVs, an optimal dispatching method for ACT and microgrid system is developed, which further incorporates the scheduling flexibilities of microgrid. Numerical results performed on a modified IEEE 41-bus system and ACT using real data validate the effectiveness of the proposed model. The cooperated dispatching method for ACT and microgrid system can bring considerable economic benefits. © 2015 IEEE.

关键词： automated container terminals (ACTs) Automated guided vehicles (AGVs) cooperated dispatching model logistics transportation microgrid temporal-spatial transportation flexibilities

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Small Signal Stability Assessment of power system Based on Sade-ELM Algorithm

Small Signal Stability Assessment of Power System Based on S...

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

作者： Yude Yang Xiu Zhang Quan Wen Key Laboratory of Power System Optimization and Energy Saving Technology Guangxi University School of Electric Power Engineering Guangxi University Nanning China

ISBN: (纸本)9781665434263

Along with the increasing scales of power system, the traditional numerical method to calculate the damping ratio of system to evaluate the small signal stability cannot meet the requirements of real-time analysis. Therefore, we propose a small signal stability assessment method for power system based on Extreme Learning Machine (ELM) optimized by Differential Evolution Algorithm with Strategy-Adaptation (SaDE). The node power, generator power and branch power are taken as inputs of the model in this method. Meanwhile, the minimum damping ratio of the system is taken as the output, and fits input data and output data. The results of 3-machine 9-node and 10-machine 39-node systems show that the method can estimate the minimum damping ratio of the system after off-line training of historical data without considering the change of control parameters. Compared with the prediction results of Back Propagation (BP) and ELM models, SaDE-ELM has the lowest error, the highest prediction accuracy and the strongest generalization ability.

关键词： Damping Training system integration power system stability Predictive models Prediction algorithms Stability analysis

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Control of Doubly Fed Induction Generator-Based Wind Turbine for the Supplementary Frequency Regulation 20

Control of Doubly Fed Induction Generator-Based Wind Turbine...

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20th IEEE International Conference on Communication technology, ICCT 2020

作者： Chen, Xiaobin Liu, Hui Xie, Haimin Qin, Risheng Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Nanning China Yunnan Power Grid Corporation Ltd Electric Power Research Institute Kunming China

ISBN: (纸本)9781728181417

To enhance the frequency stability and reduce the reserve of active power, a control strategy is proposed for doubly fed induction generator-based wind turbine (DFIG-WT) to participate in supplementary frequency regulation (SFR) in this paper. A control framework is developed for wind farm to implement the regulation in real time. While the operating conditions of wind turbines are uploaded to the control center, the capacity for regulation of wind farm is calculated in the control center. At the same time, the task for regulation is assigned from the control center to wind turbines, and the power distribution method is proposed for DFIG-WT to participate in SFR within their capacity. Simulations on an interconnected two-area power system show that the proposed strategy can effectively enhance the frequency stability of the system and simultaneously improve the capacity of the power grid for wind power absorption. © 2020 IEEE.

关键词： Wind turbines

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Prediction of Heat Transfer Coefficient of PV/T-SAHP Heat Pump system

Prediction of Heat Transfer Coefficient of PV/T-SAHP Heat Pu...

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2020 International Conference on Environment Science and Advanced energy Technologies, ESAET 2020

作者： Zhou, Xingcao Wu, Zezhong Wang, Jigang College of Electrical Engineering Guangxi University Nanning530004 China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning530004 China

In order to facilitate performance research and control strategy formulation, Elman neural network is used to predict heat transfer coefficient of heat pump, which is convenient for dynamic modeling of PV/t-sahp system. The accuracy of the prediction model was verified by selecting typical sunny and cloudy days. The experimental results show that the maximum relative errors of the predicted values in sunny and cloudy weather are 5.4% and 7.2% respectively. The mean relative errors were 2.57% and 2.69%, respectively. The results show that the prediction model of Elman neural network proposed in this paper is more accurate and can better simulate the actual operation, which can provide technical support for the follow-up research. © Published under licence by IOP Publishing Ltd.

关键词： Heat transfer coefficients

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Research on Digital Twin Modeling Method for Combustion Process Based on Model Reduction

SSRN

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SSRN 2024年

作者： Zhang, Yue Li, Jiale Department of Automation North China Electric Power University Hebei Baoding071000 China Hebei Technology Innovation Center of Simulation & Optimized Control for Power Generation North China Electric Power University China Baoding Key Laboratory of State Detection and Optimization Regulation for Integrated Energy System China

In response to the difficulty in obtaining combustion information within coal-fired boiler furnaces, a method is proposed in this study to improve the reduced-order model using clustering segmentation. This approach aims to rapidly predict the combustion temperature field inside the furnace by establishing a twin model of the combustion temperature field. Initially, a finite element method is employed to analyze the combustion system of a 600MW subcritical boiler under various operating conditions. Subsequently, cross-sectional data from burner nozzle positions at each operating condition are extracted. These data are subjected to Proper Orthogonal Decomposition (POD), Spectral Proper Orthogonal Decomposition (SPOD), and Wavelet Transform-POD (WT-POD) for dimensionality reduction to obtain modal data. Comparative analyses are conducted on the modal data obtained from different methods. Furthermore, based on modal data analysis, a Support Vector Machine (SVM) regression model is selected to reconstruct the temperature field. The average absolute error of the reconstructed temperature fields from three methods under different operating conditions is then compared. Finally, the model is refined using clustering segmentation, resulting in an improvement of approximately 0.6% in reconstruction accuracy. This enhancement demonstrates that the clustered POD-SVR-GA model achieves higher accuracy in reconstructing combustion temperature fields after clustering-based improvements. © 2024, The Authors. All rights reserved.

关键词： Support vector machines

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Nonlinear control combined with terminal angular velocity mode separation strategy of STATCOM

Nonlinear control combined with terminal angular velocity mo...

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2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020

作者： Li, Xiaocong Yang, Xiao Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi Zhuang Autonomous Region China Guangxi University College of Electrical Engineering Guangxi Zhuang Autonomous Region China

ISBN: (数字)9781728165219

ISBN: (纸本)9781728165202

In this paper, nonlinear control combined with the terminal angular velocity mode separation strategy of STATCOM is proposed. Based on the nonlinear principle, a group of multi-objective functions including the concerned state variables is found. The dynamic and static performance of the control target is dynamically tracked and constrained in combination with the secondary performance index, thus forming a closed-loop control system that can quickly reflect the changes of the active and reactive power of the system. In order to suppress the subsynchronous torsional component at the fixed modal frequency, the angular velocity mode separation of generator is introduced. Finally, the effectiveness of the proposed strategy is verified by PSCAD electromagnetic transient simulation platform. © 2020 IEEE.

关键词： Closed loop control systems

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Grounding Fault Line Selection in the Distribution Network Using a Novel Underdetermined Blind Source Separation Algorithm

Grounding Fault Line Selection in the Distribution Network U...

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Electrical Engineering and Control Technologies (CEECT), Conference on

作者： Yuanyang Xia Xiaocong Li Yuan Liu Lei Zhang Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China Intelligent Manufacturing College Nanning University Nanning China Marketing Department Yalong River Hydropower Development Co. Ltd Chengdu China College of Electronic information engineering Anhui Water Conservancy Technical College Hefei China

When resonant grounding occurs, the fault components of the line are complex, and components with different properties cancel out or compensate each other, weakening the fault characteristics and easily making it difficult to select the grounding fault line. Considering the reality of line measurement channels, this paper utilizes an underdetermined blind source separation algorithm to separate the steady-state component, transient component, and noise of faults from the measurement signal. Using the high-order moments of each component of the zero-sequence current of the line as the criterion, accurate line selection of single-phase grounding faults can be achieved. Compared with Prony, HHT, and FFT methods, the method proposed in this paper has certain advantages. The simulation and on-site experimental results show that the accuracy of the method in line selection is all correct, and it has certain anti-interference ability.

关键词：

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Real-Time Control Strategy of Hybrid energy Storage to Smooth Out Fluctuations in PV Industrial Parks

Real-Time Control Strategy of Hybrid Energy Storage to Smoot...

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

作者： Yuwei Liu Bin Li Youxiong Deng Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China Nanning Power Supply Bureau Guangxi Power Grid Co. Ltd. Nanning China

ISBN: (纸本)9781665434263

Combining PV power generation and industrial parks and using hybrid energy storage to smooth out fluctuations in PV industrial parks is an effective way to improve the level of PV power consumption, reduce energy consumption and pollution in industrial parks, and lower the cost of power purchase before industrial parks. In this paper, we propose a real-time control strategy to smooth out the fluctuation of PV industrial park by using hybrid energy storage system, which optimally allocates the load fluctuation to energy-based energy storage and power-based energy storage based on variational modal decomposition (VMD), and considers the charging and discharging efficiency and state of charge (SOC) of energy storage to smooth out the fluctuation of PV industrial park. Finally, the effectiveness of the proposed real-time control strategy of hybrid energy storage for PV industrial park fluctuation smoothing is verified by simulation, and the strategy is evaluated economically based on the current spot market in Guangdong.

关键词： Renewable energy sources Fluctuations Costs Smoothing methods power demand system integration Real-time systems

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FDTD analysis of transient fault induced travellingwave propagation for multi-branch distribution networks 47

FDTD analysis of transient fault induced travellingwave prop...

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47th International Conference on Vibroengineering

作者： Li, Minqiang Liu, Baiyang Wang, Chen Yu, Kun Wu, Yongze Zeng, Xiangjun Hechi Power Supply Bureau Guangxi Power Grid Co Ltd Hechi China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China Hunan Province Key Laboratory of Smart Grids Operation and Control Changsha University of Science and Technology Changsha China

Many methods are available to analyze the process of the travelling-wave propagation. Among these methods, the Finite Difference Time Domain (FDTD) method has a distinct advantage in calculating dynamic process of the travelling wave propagation in the time domain and is thus applied to the field of power system protection for researching transient fault induced travelling-wave propagation. The novelty of this paper is that the attenuation law of the traveling wave signal affected by the fork junction in the multi-branch distribution network is summarized and the cause of failure in the fault location based on the incipient travelling wave front method in distribution networks is found. © 2020 Minqiang Li, et al.

关键词： Finite difference time domain method

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