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检索条件"机构=Key Laboratory of Intelligent Dispatching and Control of Power Grid"

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Inference Algorithm of Link Loss Rate Based on Network Resource Characteristics in Dynamic Carrier Network

Inference Algorithm of Link Loss Rate Based on Network Resou...

引用

作者： Yutu Liang Jiajia Fu Zhan Shi Keqin Zhang Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd. State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

The dynamic nature of the carrier network environment results in low accuracy of the link loss rate inference algorithm. To solve this problem, this paper proposes a link loss rate inference algorithm based on network resource characteristics in a dynamic carrier network environment. The algorithm includes the simplification of the detection routing matrix, the calculation of the number of links that need to be assumed to be no packet loss, the use of genetic algorithms to solve the optimal set of no packet loss links, and the solution of the column full-rank equation to obtain the packet loss rate of the link. In order to improve the efficiency of the genetic algorithm to solve the optimal solution, when constructing the initial population, the reliability of the link is analyzed from two aspects: historical data of link congestion and detection congestion contribution. The experimental results show that the algorithm in this paper improves the accuracy of the link loss rate and reduces the false alarm rate of the link loss rate.

关键词： Carrier network Link loss rate Genetic algorithm Link reliability

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Path Planning for Distribution Network Robots with Adaptive Simulated Annealing-Enhanced Artificial Potential Field Method

Path Planning for Distribution Network Robots with Adaptive ...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Baichao Zhang Xin Chen Jinge Chen Jinbin Li Xiaokai Wang Xu Jian School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan P. R. China Hubei Fangyuan Dongli Electric Power Science Research Co. Ltd Wuhan P. R. China

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

In this paper, we propose a hybrid algorithm that combines an improved Artificial Potential Field (APF) method with the Simulated Annealing (SA) algorithm for path planning of an electric power operation robot manipulator in complex distribution grid environments. To address the unreachable target issue inherent in traditional APF, we introduce a distance regulation factor to optimize the repulsive function. This modification allows the manipulator to smoothly approach the target point as it nears, while the repulsion from obstacles gradually decreases. Additionally, to overcome the limitations of the traditional SA algorithm, such as its tendency to get trapped in local minimum solutions and its inefficiency in complex environments, we propose an adaptive temperature rise strategy. This strategy increases the temperature, enhancing the probability of escaping local optimal solutions. When the APF algorithm becomes trapped in a local optimum, the improved SA algorithm is applied to escape the local minimum. Once the local optimum is avoided, the algorithm switches back to APF to continue the path planning process. Simulation results demonstrate that the proposed improved APF-SA algorithm adapts effectively to various complex environments, achieving shorter planning times and higher success rates compared to traditional APF and SA algorithms. It successfully resolves the unreachable target and local minimum problems associated with APF. Finally, the feasibility of the proposed APF-SA fusion algorithm is validated through experiments conducted on an electric power operation robot experimental platform for distribution grid applications.

关键词： Electric potential Adaptation models Force Distribution networks Simulated annealing Manipulators Path planning Planning Collision avoidance Robots

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Distributed power Service Restoration Method of Distribution Network with Soft Open Point

Distributed Power Service Restoration Method of Distribution...

引用

2020 IEEE/IAS Industrial and Commercial power System Asia, I and CPS Asia 2020

作者： Sun, Shoujing Cong, Wei Sheng, Yaru Chen, Ming Wei, Zhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Tianjin University Key Laboratory of Smart Grid of Ministry of Education Tianjin China Qingdao Power Supply Company Shandong Electric Power Company State Grid Qingdao China

ISBN: (纸本)9781728143033

Soft open point (SOP) is applied to the power service restoration of the distribution network because of the advantages of flexible control mode and optimizing the operation of the distribution network. Taking advantage of parallel collaborative between independent peer smart terminals unit (STU) in distribution network and information interaction ways of working, distributed power service restoration method of distribution network considering soft open point is put forward, which brings the superiority of SOP in the aspect of power service restoration into full play and avoids the problem of large information collection and calculation in the centralized power service restoration method. Firstly, the structure, control mode and power service restoration model of SOP are introduced, and then the distributed power service restoration method of distribution network with SOP is described, which mainly includes distributed network topology search and the expression and calculation of constraint conditions. Finally, a numerical simulation is carried out to verify the effectiveness of the proposed method. © 2020 IEEE.

关键词： Restoration

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Link Packet Loss Rate Inference Algorithm Based on Network Characteristics in Carrier Network

Link Packet Loss Rate Inference Algorithm Based on Network C...

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作者： Zhan Shi Ying Zeng Yutu Liang Weichao Gong Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd. State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

In the carrier network, the network noise is large, which leads to the low performance of the link packet loss rate inference algorithm. To solve this problem, this paper proposes a link packet loss rate reasoning algorithm based on network characteristics in carrier networks. The algorithm includes five steps:building a routing matrix, simplifying the routing matrix, calculating link characteristics according to network characteristics, building a column full-rank matrix,and solving equations to obtain the value of the packet loss rate of each link. In order to construct a full-rank matrix, the pass rate of each link is evaluated from the two dimensions of the pass rate estimation and the importance estimation of each link based on the network characteristics. In the experimental part, it is verified that compared with the existing algorithms, the algorithm in this paper improves the accuracy of the detection rate and pass rate of congested links, and reduces the misjudgment rate of congested links.

关键词： Carrier network Link packet loss rate Link pass rate Network characteristics

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Optimization of Robot End-Effector Load Gravity Compensation for Unmanned Live Work in Electric power Distribution Networks Based on Improved PSO Algorithm

Optimization of Robot End-Effector Load Gravity Compensation...

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Chinese Automation Congress (CAC)

作者： Jinge Chen Xin Chen Chenyu Hu Guangxian Huang Shu Sun Xu Jian School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering-Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Distribution Department State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Xianning China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan China

In the field of electric power distribution network operation, most tasks involve contact operations. A key technology to enable the flexible operation of robots in live distribution network tasks is the installation of six-dimensional force sensors on the robot's end flange. These sensors allow the robot to perceive external environmental contact forces. However, the presence of the end load interferes with the accurate perception of external forces. Aiming at the gravity compensation of robot end load, an optimization algorithm of gravity compensation based on particle swarm optimization is proposed. In this method, the optimal solution model is established with the objective of minimum sum of squared errors, and the particle swarm optimization algorithm is used to estimate the mounting declination angle of the force sensor and improve the precision of gravity compensation. The experiments show that the proposed method can effectively reduce the maximum gravity compensation error and the average gravity compensation error in each direction after optimization, in which the maximum gravity compensation error of the resultant force is reduced by 9.11% and the average gravity compensation error of the resultant force is reduced by 12.34%.

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Carrier Network Link Loss Rate Reasoning Algorithm Based on Network Resources and Service Characteristics

Carrier Network Link Loss Rate Reasoning Algorithm Based on ...

引用

作者： Zhan Shi Zanhong Wu Yutu Liang Xuchuan Huang Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd. State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

In the carrier network environment, high network noise can easily lead to the problem of low accuracy of the link loss rate inference algorithm. In order to solve this problem, based on the network resources and service characteristics,the throughput characteristics of the link are analyzed, and multiple attributes are used to calculate the index weight, so as to obtain the evaluation value of the link throughput. The carrier network link loss rate inference algorithm proposed in this paper based on network resources and business characteristics includes constructing a detection matrix, deterministically simplifying the detection matrix,calculating the estimated value of the link passing rate in the simplified detection matrix, and calculating congested links pass rate. In the experimental part, by comparing with the existing algorithms, it is verified that the algorithm in this paper can improve the accuracy of the link loss rate inference algorithm.

关键词： Carrier network Link loss rate Link pass rate Active detection

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Carrier Network Fault Diagnosis Algorithm Based on Service Characteristics

Carrier Network Fault Diagnosis Algorithm Based on Service C...

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作者： Zhan Shi Zhengfeng Zhang Yutu Liang Weichao Gong Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd. State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

In order to improve the performance of the fault diagnosis algorithm under the carrier network, this paper proposes a carrier network fault diagnosis algorithm based on service characteristics. First, in order to use business characteristics for fault diagnosis, this paper calculates the three characteristics of the certainty of failure of each network node, historical failure performance, and resource utilization, and uses the TOPSIS algorithm to calculate the failure probability of the network nodes in the network node set. Secondly, according to the abnormal credibility of the abnormal business, sort the symptoms in the abnormal symptom set in descending order. Finally, fault location is performed according to the importance of the business and the reliability characteristics of network node faults. In the experimental part, the algorithm in this paper is compared with the existing algorithms, and it is verified that the algorithm in this paper can improve the accuracy of the fault diagnosis algorithm and reduce the false alarm rate of the fault diagnosis algorithm.

关键词： Carrier network Service characteristics Fault diagnosis TOPSIS algorithm

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A Remote Sensing Object Classification and Extraction Method Based on Improved U-Net

A Remote Sensing Object Classification and Extraction Method...

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Data Intelligence and Innovative Application (DIIA), IEEE International Conference on

作者： Lili Wen Hui Qu Man Wu Junxiang Lai Wei Zhang Research Center for Carbon Sink and Low-Carbon Engineering in the Beibu Gulf of Guangxi Guangxi Academy of Marine Sciences line Nanning China National Marine Data and Information Service Tianjin China School of electrical engineering Guangxi University Nanning China Guangxi Key Laboratory of Marine Environmental Science Guangxi Academy of Sciences Nanning China Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning China

ISBN: (数字)9798331504434

ISBN: (纸本)9798331504441

This paper addresses the problems of low accuracy and poor adaptability to complex scenes in traditional remote sensing object classification methods, and proposes a remote sensing object classification extraction method based on an improved U-Net. We retained the U-shaped symmetrical structure of U-Net and introduced the Swin Transformer block with self-attention mechanism to replace the original convolutional operation, enhancing the model's ability to extract global features. We also constructed a Bottleneck structure between the encoder and decoder to learn deep feature representations and form a new U-shaped network based on Transformer, improving the network's image semantic segmentation ability in scenarios with small targets and complexity. Experimental results show that the method proposed in this paper has an improvement of more than 9% in evaluation indicators such as recognition accuracy and recall rate compared with existing U-Net and Res-UNet methods, has high semantic segmentation accuracy and robustness, and provides new ideas and technical support for remote sensing image object classification extraction.

关键词： Hands Accuracy Semantic segmentation Land surface Transformers Feature extraction Robustness Decoding Remote sensing Testing

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A Novel Non-unit Frequency-Based Line Protection Scheme for Flexible DC grids

A Novel Non-unit Frequency-Based Line Protection Scheme for ...

引用

2020 IEEE/IAS Industrial and Commercial power System Asia, I and CPS Asia 2020

作者： Zhang, Yunqi Cong, Wei Zhang, Yuxi Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Liangshan Power Supply Company Liangshan China

ISBN: (纸本)9781728143033

To address the problems still existing in line protection for flexible DC grids currently, this paper proposes a non-unit frequency-based line protection scheme for flexible DC grids. Firstly, the values of the initial voltage traveling waves (IVTWs) generated by the fault point under internal and external faults are respectively calculated based on the equivalent model of the four-terminal flexible DC grid. Due to the boundary effect of the current limiting inductors on both ends of DC lines, the attenuation rates of the IVTWs with the increase of frequency under internal and external faults have different characteristics. The detail coefficients of the IVTW in different frequency bands are extracted by stationary wavelet transform at different scales, and the amplitudes of the IVTW in different frequency bands are expressed by wavelet transform modulus maximums (WTMMs). A criterion to identify internal and external faults is constructed based on the square of the frequency-domain equivalent attenuation rate of the IVTW. Lastly, simulation results under diverse fault conditions validate the availability of the proposed protection method. © 2020 IEEE.

关键词： Wavelet transforms

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Dynamic Economic Dispatch Considering Transmission-Distribution Coordination and Automatic Regulation effect of Transmission System

Dynamic Economic Dispatch Considering Transmission-Distribut...

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2020 IEEE/IAS Industrial and Commercial power System Asia, I and CPS Asia 2020

作者： Wu, Yuqian Wang, Mingqiang Wang, Mengxia Jing, Linguo Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Binzhou Power Supply Company Binzhou China

ISBN: (纸本)9781728143033

With the increase of proportion of renewable energy, the uncertainty in power system is significantly increased, and the security operation of power system is facing more challenges. In traditional economic dispatch model, the unit output and load are expressed by constant power, which ignores the automatic regulation effect during system operation. And the transmission system and distribution system are separated optimized, the coordination effect is not considered. In this paper, a new dynamic economic dispatch model is proposed and the automatic regulation effect and transmission-distribution coordination are considered, which can improve the renewable energy accommodation and enhance the system operation security and economics. The validity and effectiveness of the proposed model are illustrated by case studies. © 2020 IEEE.

关键词： Renewable energy resources

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