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Safety monitoring method for powerline corridors based on single‐stage detector and visual matching

High Voltage 2024年第4期9卷 805-815页

作者： Jinheng Li Hanbo Zheng Peng Liu Yanshen Liang Feng Shuang Junjie Huang Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi UniversityNanningChina China Southern Power Grid Guangxi Power Grid Company Ltd. NanningChina State Grid Hubei Electric Power Research Institute WuhanChina

Effective monitoring and early warning of overhead power lines are critical for ensuring power supply stability and personnel ***,existing methods that rely solely on single vision or light detection and ranging(LiDAR)have limitations such as numerous invalid alarms,hardware equipment constraints,and lack of real-time monitoring *** article proposes an intelligent monitoring method for safety distance of the powerline corridor based on heterogeneous sensor ***,an optimised single-stage detector is designed to detect safety hazard *** the detector,the backbone network and the sample matching strategy are improved;in addition,the learning strategy is ***,the pose transformation relationship is obtained through the visual matching of prior LiDAR information and *** back projection transformation of 2D–3D is achieved according to the ***,a monocular camera-based end-to-end distance measurement scheme is proposed by combining 2D object information with coordinate transformation *** scheme is applied to the distance measurements from hazard objects to *** experimental results show that the optimisation method improves the detection accuracy and reduces the computational complexity of the ***,case experiments with continuous frame data verify the effectiveness of the safety distance monitoring scheme.

关键词： visual hardware matching

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Data-Driven RNN Method for Distribution Network Optimal power Flow Problems 3

Data-Driven RNN Method for Distribution Network Optimal Powe...

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3rd power system and Green energy Conference, PSGEC 2023

作者： Zhang, Zixuan Yang, Shiao Jia, Yujing Xiao, Jiawen Bai, Xiaoqing Guangxi University Key Laboratory of Guangxi Electric Power System Optimization and Energy-Saving Technology Guangxi Nanning China

ISBN: (纸本)9798350340099

The optimal power flow (OPF) problem has long been a central focus for researchers in the field of power systems. With the widespread adoption of data-driven approaches, this paper introduces a novel solution to the distribution network OPF problem using a recurrent neural network (RNN) method. By leveraging the power of RNNs, this method offers a promising approach to address the challenges associated with optimizing power flow in distribution networks. To evaluate the effectiveness of the proposed method, a simulation experiment was conducted on a 12-bus distribution network system. The results of the experiment not only confirmed the method's efficacy but also showcased its superior performance compared to existing approaches. This success paves the way for the future application of the RNN method in larger-scale power systems. Overall, this research highlights the significance of data-driven methods in addressing the challenges of power system optimization. The successful application of the RNN method in solving the distribution network OPF problem underscores its potential to revolutionize the field and improve the efficiency and reliability of power systems in the future. © 2023 IEEE.

关键词： Recurrent neural networks

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A Low-Rank Algorithm Based on Riemannian optimization for Optimal power Flow Problem 3

A Low-Rank Algorithm Based on Riemannian Optimization for Op...

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3rd power system and Green energy Conference, PSGEC 2023

作者： Huang, Shengquan Bai, Xiaoqing Shang, Qinghua Wang, Rui Guangxi University Key Laboratory of Guangxi Electric Power System Optimization and Energy-Saving Technology Guangxi Nanning China

ISBN: (纸本)9798350340099

The optimal power flow (OPF) problem is essentially a mathematical programming that aims to seek an optimal operation condition subject to network and physical constraints. The semidefinite programming (SDP) relaxation has emerged as a popular technique to solve the OPF problem, but it often finds a high-rank solution and encounters difficulties in obtaining an exact solution for mesh network. Therefore, this paper utilizes a Riemannian optimization method to solve the low-rank optimal solution for OPF problem via SDP. Firstly, a Burer-Monteiro factorization-based augmented Lagrangian method is applied to the standard SDP of OPF. Then, the Riemannian gradient and Hessian are derived to solve the subproblem with the Riemannian trust-region method. Finally, the strategy for escaping from saddle points and the technique that adjusts the parameters for solving a low-rank solution are given. The simulation results verify the accuracy of the proposed algorithm can obtain a lower-rank solution compared to other advanced SDP solvers. © 2023 IEEE.

关键词： Mathematical programming

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TOPSIS Scoring Method for Industrial Users Based on DEMATEL-EWM Weighting Method 1

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37th Annual Conference on power system and Automation in Chinese Universities, CUS-EPSA 2022

作者： Zhu, Songyang Bai, Xiaoqing Key Laboratory of Power System Optimization and Energy Saving Technology Guangxi University Nanning530004 China

ISBN: (数字)9789819914395

ISBN: (纸本)9789819914388

The evaluation and analysis of the power consumption behavior of industrial users can help the power marketing department provide a theoretical basis for assessing industrial users. Firstly, this paper constructs a user behavior evaluation system to evaluate users through positive and negative characteristics. Then, this paper establishes an evaluation model based on the technique for order preference by similarity to the ideal solution (TOPSIS). For the index weight of the user’s power consumption behavior, this paper uses the comprehensive weight method combining the decision-making trial and Evaluation laboratory (DEMATEL) and entropy weight method (EWM). Based on this, the TOPSIS model is established based on an improved weight method. The load stability of a laser enterprise in China is analyzed using the evaluation model, combined with two weighting methods and positive and negative characteristics. © 2023, State Grid electric power.

关键词： electric power utilization

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Optimal Topology Design of Remote Low Voltage AC Distribution systems

Optimal Topology Design of Remote Low Voltage AC Distributio...

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2023 IEEE Green energy and Smart systems Conference, IGESSC 2023

作者： Taing, Ratha Li, Xiaocong Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Nanning Guangxi530000 China

ISBN: (纸本)9798350313536

This paper addresses the AC low voltage distribution system by proposing the optimal topology in a remote village for 25 years of planning. The minimum distance algorithm is employed to find the nearest loads to electric poles with the given coordinates. Then, those loads and the closest electric pole are assigned as a cluster. Next, the minimum-spanning-tree (MST) is used to define the shortest connection of clusters. After that, phase ABC repeated is used to balance the three phases system. Thereafter, the load flow is performed with respect to the constraint. Thus, the conductor size is defined. Finally, the cost of the distribution system (CAPEX, OPEX, and TOTEX) is calculated. The result shows that the proposed algorithm has energy losses that are lower than the overall energy losses of the system. © 2023 IEEE.

关键词： energy dissipation

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Study on Compatibility of Vegetable Insulating Oils and Mineral Insulating Oils for Transformer Based on Molecular Simulation Methods 10th

Study on Compatibility of Vegetable Insulating Oils and Mine...

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10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024

作者： Mu, Xiaojing Wu, Wenliang Liu, Xichao Wan, Gang Wang, Yang Lv, Weijie Quality Inspection and Test Center for Equipment of Electric Power China Electric Power Research Institute Beijing China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China

ISBN: (纸本)9789819787425

Traditional mineral insulating oils have problems such as environmental pollution and low fire resistance. Vegetable insulating oils are prepared from vegetable oils through refining and modification processes and have high fire resistance and renewability. However, vegetable insulating oils have high viscosity and poor heat dissipation performance. Hybrid insulating oils can complement single insulating oils by mixing mineral and vegetable insulating oils. This paper investigates the compatibility between palm oil and mineral oil. COSMO calculations of triglyceride and mineral oil alkane molecules were performed using molecular simulations and the COSMO-RS model. We have carried out separate calculations of the molecular surface charge densities (σ-spectra) for four major triglycerides within the palm oil as well as for three major carbon 20 alkane molecules within the naphthenic mineral oil. We illustrate the polarity relationship between the glyceride molecules and alkane molecules of mineral oils and derive the principle of similar intercalation of the glyceride molecules with the alkane molecules of mineral oils from the microscopic point of view of the molecules. The findings suggest that palm oil and the mineral oil possess comparable forces between the molecules, which allows for stable blending. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Mineral oils

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Thermal Fault Diagnosis of power Equipment through Improved Instance Segmentation Algorithm and Deep Neural Network Temperature Fitting 3

Thermal Fault Diagnosis of Power Equipment through Improved ...

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3rd International Conference on New energy and power Engineering, ICNEPE 2023

作者： Chen, Zhigang Qi, Chaoliang Jin, Wei Hu, Junhao Li, Jinheng Tang, Qi Wang, Zhe Gao, Jianchao Lu, Linxiao State Grid Zhengzhou Power Supply Company of Henan Electric Power Company Henan Zhengzhou450000 China Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi Nanning530004 China

ISBN: (纸本)9798350393224

electrical equipment failures caused by abnormal thermal conditions pose a severe threat to the safe and stable operation of power systems. This study proposes a thermal fault diagnosis method for power equipment based on instance segmentation and deep neural networks. Firstly, an attention mechanism module improves the instance segmentation model, increasing the average precision of masks and detection boxes by 2.5% and 3.6%, respectively, achieving highly accurate extraction of power equipment. The model's computational cost is only 12.1 GFLPOs. Secondly, a grayscale-temperature dataset was created, and a deep neural network was developed to accurately model the relationship between grayscale values and corresponding temperatures, surpassing conventional methods. The model achieved an impressive R-square value of 0.9443. Finally, thermal state information is extracted using kernel density estimation (KDE), and an automated thermal fault diagnosis algorithm is developed based on industry guidelines. The experimental results demonstrate that the proposed approach accurately identifies and provides early warning of the thermal state of electrical equipment, thereby enhancing the stability of power systems. © 2023 IEEE.

关键词： deep neural network Fault diagnosis instance segmentation power equipment

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Agent Simulation-Based Market Clearing Model for Reactive Auxiliary Services 6

Agent Simulation-Based Market Clearing Model for Reactive Au...

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6th IEEE Conference on energy Internet and energy system Integration, EI2 2022

作者： Qi, Le Chen, Mingyuan Song, Jifeng Zhang, Minyu Zheng, Wenbin Shang, Qinghua Power Dispatching Control Center of Guangxi Power Grid Co. Ltd. Nanning China Guangxi University Key Laboratory of Guangxi Electric Power System Optimization and Energy-Saving Technology Nanning China

ISBN: (纸本)9798350347159

Reactive power is local and needs to be consumed locally;therefore, this paper investigates a sub-regional local market for reactive auxiliary services, where the power trading agency is responsible for receiving and aggregating the operating cost bids and opportunity loss bids from power generating companies. The power dispatch agency aims to minimize each local market's reactive power procurement costs, thereby minimizing reactive power generation subject to system constraints and voltage support. In this paper, a sub-regional reactive auxiliary services market clearing model with distributed energy participation is proposed and tested on an IEEE 24 bus system with each region as a node. The results show that the reactive market mechanism provided in this paper can incentivize extensive participation of new energy units and maintain sufficient reactive reserves and that the market power of individual units can be controlled within reasonable limits. © 2022 IEEE.

关键词： Reactive power

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A Low-Rank Algorithm Based on Riemannian optimization for Optimal power Flow Problem

A Low-Rank Algorithm Based on Riemannian Optimization for Op...

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power system and Green energy Conference (PSGEC)

作者： Shengquan Huang Xiaoqing Bai Qinghua Shang Rui Wang Key Laboratory of Guangxi Electric Power System Optimization and Energy-Saving Technology Guangxi University Nanning Guangxi China

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Data-Driven RNN Method for Distribution Network Optimal power Flow Problems

Data-Driven RNN Method for Distribution Network Optimal Powe...

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power system and Green energy Conference (PSGEC)

作者： Zixuan Zhang Shiao Yang Yujing Jia Jiawen Xiao Xiaoqing Bai Key Laboratory of Guangxi Electric Power System Optimization and Energy-Saving Technology Guangxi University Nanning Guangxi China

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