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IEEE Transactions on intelligent Vehicles 2024年 1-13页

作者： Chen, Liangming Xiao, Jiaping Teo, Clarence Wei Rui Li, Jianqing Feroskhan, Mir School of System Design and Intelligent Manufacturing and Shenzhen Key Laboratory of Control Theory and Intelligent Systems Southern University of Science and Technology Shenzhen China school of Mechanical and Aerospace Engineering Nanyang Technological University Singapore Singapore College of Communication Engineering Hangzhou Dianzi University Hangzhou China

The need for better search and rescue capabilities has led to the increased demand for collaborative aerial-ground multi-robot deployments. However, most existing solutions require high communication bandwidth or bulky sensor equipment that is not suitable especially for aerial robots. To make the execution of these tasks more efficient, this paper proposes an angle-specified heterogeneous leader-follower formation framework consisting of unmanned aerial vehicles (UAVs) flying in a 3D space and ground robots moving in a 2D plane. The UAVs are controlled to maintain a desired angle-specified formation with the first three UAVs as the leaders forming a triangular shape and the remaining UAVs as the followers. The follower UAVs only need direction measurements to track the leader UAVs. For the ground robots, two leader robots track the UAV group and determine the orientation and scale of the ground formation, while the follower robots track the leader robots using only direction measurements. The proposed heterogeneous formation framework is energy-efficient as most robots only require low-cost and lightweight direction measurements. The stability of the proposed formation control algorithms is proved and validated through various physical application experiments. IEEE

关键词： Multi agent systems

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Research and application of composite stochastic resonance in enhancement detection

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Chinese Physics B 2024年第1期33卷 264-273页

作者：高蕊焦尚彬薛琼婕 School of Automation and Information Engineering Xi'an University of TechnologyXi'an 710048China School of Electronic and Electrical Engineering Baoji University of Arts and SciencesBaoji 721016China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of TechnologyXi'an 710048China

Aiming at the problem that the intermediate potential part of the traditional bistable stochastic resonance model cannot be adjusted independently, a new composite stochastic resonance(NCSR) model is proposed by combining the Woods–Saxon(WS) model and the improved piecewise bistable model. The model retains the characteristics of the independent parameters of WS model and the improved piecewise model has no output saturation, all the parameters in the new model have no coupling characteristics. Under α stable noise environment, the new model is used to detect periodic signal and aperiodic signal, the detection results indicate that the new model has higher noise utilization and better detection ***, the new model is applied to image denoising, the results showed that under the same conditions, the output peak signal-to-noise ratio(PSNR) and the correlation number of NCSR method is higher than that of other commonly used linear denoising methods and improved piecewise SR methods, the effectiveness of the new model is verified.

关键词： Woods–Saxon improved piecewise model composite stochastic resonance(SR) image denoising

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Multiple Time Resolution dispatching Model for Distribution Network Considering Various Active Management Measures

Multiple Time Resolution Dispatching Model for Distribution ...

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IEEE Asia Power and Energy Engineering Conference (APEEC)

作者： Jianan Liu Mingqiang Wang Junshao Guo Junyu Ge Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

With the rapid increase of renewable energy sources (RESs), traditional sequential dispatching of active distribution network (ADN) is facing more and more challenges. This paper establishes a unified economic dispatching model for short-term operations of distribution network (DN) with multiple active management measures. Network reconfiguration is also considered to improve the flexibility of ADN. Multiple time resolution is applied to simultaneously determine the operation state of controllable units, network topology, and the output of active management devices. In order to better capture RES and load fluctuations, the proposed model uses 5min, 15min and 30min time resolution in the first three hours, respectively. The entire dispatching model can be transformed into a mixed integer linear programming (MILP) problems via several linearization methods. The proposed model is tested on the IEEE 33-node distribution system. The validity and effectiveness of the proposed model are illustrated by case studies.

关键词： Renewable energy sources Fluctuations Network topology Energy resolution Energy measurement Distribution networks dispatching

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Classification Method of Customer Based on Load Curve Image Information

Classification Method of Customer Based on Load Curve Image ...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Lin Wei Li Zhang Yuxi Wang Xinyan Su Ming Yang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

The classification of customer is an essential basis for demand-side-oriented power system operation and control research. In order to accurately identify the customer behavior, this paper proposes a classification method of customer based on load curve image information. Inspired by the application of deep learning theory in image processing, the one-dimensional load series is transformed into a two-dimensional recurrence plot as the input sample, then convolutional neural network (CNN) and support vector machine (SVM) algorithms are combined to construct a load feature extraction and customer classification model, so that the machine vision technique can work to extract curve feature without temporal information loss of the load data. SVM is introduced as the classifier in the CNN model, and the optimal classification hyperplane is built in the high-dimensional feature space by adjusting the classification threshold and hyperplane normal vector which enables the customer classification to accurately reflect the daily load curve feature. Simulations are performed using practical load data of a city in China, and the results show that the load curve image information based method has satisfactory performance in terms of the effectiveness of customer classification and the accuracy of feature extraction.

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Research on Load-shedding control Strategy Considering Wind Farm Output Fluctuation Based on WAMS

Research on Load-shedding Control Strategy Considering Wind ...

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International Conference on Power system Technology (POWERCON)

作者： Dan Xie Qing Chen Ye Sun Ning Shao Yuzhan Dong Wei Ding Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

After the fault line is removed, the active power will transfer, which may cause the related lines to overload. If the backup protection acts before the safety automatic device complete its action, it may cause a cascading trip. Large-scale wind farm access will also affect the network active power distribution. This paper proposes a backup protection load-shedding control strategy based on a wide area measurement system (WAMS) considering wind farm output fluctuation to realize the coordination of backup protection and safety automatic devices in a power system with wind farm access. The effective control node pair is selected by using the power reverse equivalent pairing method. In view of the multiple lines being overloaded at the same time, an optimal control node pair screening method based on the weighted osculating value method is proposed. In order to verify the effectiveness of the load-shedding control strategy proposed in this paper considering the output fluctuation of wind farms, an IEEE 10-machine 39-node system is taken as an example. The simulation results are verified by PSASP.

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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...

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International Conference on Power system Technology (POWERCON)

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

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.

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Optimal Configuration Strategy of Condensers for Suppressing Large-Scale Wind Power Generation Low Voltage Ride Through Short-Time Active Power Impact

Optimal Configuration Strategy of Condensers for Suppressing...

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International Conference on Power system Technology (POWERCON)

作者： Xinyu Wei Guofang Zhu Lei Ding Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

Given the significant percentage of renewable energy sources in the power grid, the problems of frequency stability and voltage stability are becoming more and more prominent. By configuring the synchronous condenser (SC), it has the capability to furnish dynamic reactive power assistance, thereby enhancing its ability to maintain voltage support and reduce the active power impact caused by low voltage ride through (LVRT) of wind turbine (WT). However, the current power grid lacks an effective configuration strategy for the SC. This paper analyzes the impact of the access of the SC on the voltage support capacity based on the active power current impulse (APCI). The results show that the node with the lowest APCI is the optimal configuration position of the SC after the access of the SC. Based on the above conclusions, this paper proposes an optimal configuration scheme for a SC based on APCI. The simulation results show that the method proposed in this paper can effectively suppress the short-term active power impulse caused by large-scale wind power LVRT and avoid the transformation from local voltage problem to global frequency problem.

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Research on Stepwise Clustering and Fitting Method for Wind Power Based on Discrete Wavelet Transform 3

Research on Stepwise Clustering and Fitting Method for Wind ...

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3rd Power system and Green Energy Conference, PSGEC 2023

作者： Zhang, Haijing Yu, Hong Wei, Lin Wang, Yuxi Wang, Peng Zhang, Letian Yang, Yang State Grid Shandong Electric Power Company Jinan China State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350340099

The participation of new energy reseurces in market trading needs accurate metering of new energy power generation. In order to establish a verification method for wind power generation metering data, a step-by-5tep k-means clustering algorithm based on discrete wavelet transform is proposed to explore the variation laws of wind power fluctuation, so that a basis for missing data fitting and abnormal data correction of wind power generation curves can be built. The frequency domain analysis of wind power generation data is carried out by using discrete wavelet transform, and the generation curve is decomposed into different frequency ranges. For the frequency domain results after multiple wavelets transforms, step-by-tep k-means clustering is carried out from the lowest frequency component to the highest frequency component. This processing method can etfetively ensure that the information of stroke fluctuation is not lost in the clustering process. Typical curves extracted based on clustering are used to fit the missing data. The proposed method is simulated by using the wind power generation data of some wind farms in East China, and the effectiveness of the proposed algorithm is verified. © 2023 IEEE.

关键词： Discrete wavelet transforms

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Optimal Reactive Power Adjustment Based on Jacobi Matrix Decomposition 6

Optimal Reactive Power Adjustment Based on Jacobi Matrix Dec...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Zou, Shihao Yu, Lei Cao, Yongji Zhang, Hengxu Zhou, Tao Ma, Ruicong Wang, Jifei Zhang, Xinyu Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China State Grid Zhangjiakou Electric Power Company State Grid Jibei Electric Power Company Zhangjiakou China Shandong University Academy of Intelligent Innovation Jinan China

ISBN: (纸本)9798350346671

To solve the problem of excessive reactive power and high voltage caused by renewable energy connection and the increase of the proportion of cables, a reactive power optimization approach based on the Jacobi matrix decomposition is proposed. The voltage sensitivity is obtained based on the Jacobi matrix decomposition. The reactive power resources sensitivity and reactive power network loss sensitivity are combined to determine the buses where the reactive power adjustment is carried out. The scheme of reactive power optimization that meets the voltage adjustment requirements is obtained through an iterative convergence calculation method. An urban power system is taken as the case study, which shows that the proposed method can optimize the reactive power voltage optimization effectively. © 2023 IEEE.

关键词： Reactive power

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Frequency control Strategy of Storage-Based Wind Farm as Black Start Power Source

Frequency Control Strategy of Storage-Based Wind Farm as Bla...

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Power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Xuemei Fan Hongtao Wang Xiaoting Lv Zhen Song Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

With the advancement of new energy technologies, renewable energy generation is predicted to dominate the power system's black-start recovery process as a black-start power source. This study investigates the operating principle of BSWPS, factors influencing its output, effective output capacity, and its potential to engage in primary and secondary frequency regulation during power system black start. A BSWPS simulation model is developed, the control strategy of BSWPS as a system black start power source is investigated, and the possibility of BSWPS participating in frequency regulation during the black start phase is investigated. In order to allocate power reasonably, the paper suggests a strategy that combines a black start optimization model and a battery storage-based wind power system scheduling system model. The wind power prediction method is used to assess the wind power output, and Gurobi is used to solve the scheduling system model. The black start of the power system is effectively accomplished, according to test results in a system that has been retrofitted with a real grid, and the frequency stability of the system is greatly improved.

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