Optimize Grouping and Path of Pylon Inspection in Power System

Hu, Zhao-Long; Li, Jiahui; Chen, An; Xu, Feiming; Jia, Riheng; Lin, Feilong; Tang, Changbing

doi:10.1109/access.2020.3001435

Cited by 3 publications

(5 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Moreover, as in many other cases, the K-means algorithm is used during the PMU data processing process along the line, with the aim of solving the numerical dispersion of the line loss rate in the area covered by the transformer, also with high accuracy [105], [106], [107]. Linked to the operational monitoring of electric lines, the K-means algorithm is utilized to minimize the number of inspection teams dedicated to the maintenance of an electric line [108]. Focusing on the reliability of the electric lines, K-means algorithms are used to process data for the identification of the level of influence of lighting resistance on lightning arresters [109].…”

Section: B Power Transmission and Dispatching 1) Electric Linesmentioning

confidence: 99%

K-Means and Alternative Clustering Methods in Modern Power Systems

Miraftabzadeh,

Colombo,

Longo

et al. 2023

IEEE Access

View full text Add to dashboard Cite

As power systems evolve by integrating renewable energy sources, distributed generation, and electric vehicles, the complexity of managing these systems increases. With the increase in data accessibility and advancements in computational capabilities, clustering algorithms, including K-means, are becoming essential tools for researchers in analyzing, optimizing, and modernizing power systems. This paper presents a comprehensive review of over 440 articles published through 2022, emphasizing the application of K-means clustering, a widely recognized and frequently used algorithm, along with its alternative clustering methods within modern power systems. The main contributions of this study include a bibliometric analysis to understand the historical development and wide-ranging applications of K-means clustering in power systems. This research also thoroughly examines K-means, its various variants, potential limitations, and advantages. Furthermore, the study explores alternative clustering algorithms that can complete or substitute K-means. Some prominent examples include K-medoids, Time-series K-means, BIRCH, Bayesian clustering, HDBSCAN, CLIQUE, SPECTRAL, SOMs, TICC, and swarm-based methods, broadening the understanding and applications of clustering methodologies in modern power systems. The paper highlights the wide-ranging applications of these techniques, from load forecasting and fault detection to power quality analysis and system security assessment. Throughout the examination, it has been observed that the number of publications employing clustering algorithms within modern power systems is following an exponential upward trend. This emphasizes the necessity for professionals to understand various clustering methods, including their benefits and potential challenges, to incorporate the most suitable ones into their studies.INDEX TERMS Clustering algorithms, K-means clustering, power systems. FIGURE 3. K-means clustering and power system bibliometric trend per country.

show abstract

Section: B Power Transmission and Dispatching 1) Electric Linesmentioning

confidence: 99%

K-Means and Alternative Clustering Methods in Modern Power Systems

Miraftabzadeh,

Colombo,

Longo

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…As a part of power systems, the power line inspection is a very important step to ensure the normal operation and maintenance of the power system. However, power lines are always exposed to the outside and are vulnerable to earthquakes, floods, storms, building collapses, etc., so it is necessary to regularly inspect power lines [5,6]. The power line inspection includes tower inspection and wire inspection.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Vandermeulen et al investigated the balanced working hours for MTSP by translating the task assignment problem into the minimum Hamiltonian partition problem; however, the traveling/ cost time was obtained by simulation [43]. Hu et al proposed a transfer method to balance the working time with the minimum number of inspection teams with two real power lines [6]. But, there is no need to consider the walking time because the task of taking photos can be implemented by the UAVs.…”

Section: Introductionmentioning

confidence: 99%

“…Combined with the minimum number of inspection teams and intelligent optimization algorithms, a framework for optimal path planning is presented. Concretely, based on the latitude and longitude of the power grid (line-5876 and line-5803) in Jinhua City and the latitude and longitude of the dropoff points of towers of the two power lines, we obtain both the driving time from the office to all the towers and the driving time among each pair of towers through the web crawler [6]. Compared with the real driving time from the office to each tower, it is found that the driving time obtained by the crawler is not much different from that of the real one.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Path Planning With Minimum Inspection Teams and Balanced Working Hours For Power Line Inspection

Deng

Peng

et al. 2022

Front. Phys.

Self Cite

View full text Add to dashboard Cite

Power line inspection plays a significant role in the normal operation of power systems. Although there is much research on power line inspection, the question of how to balance the working hours of each worker and minimize the total working hours, which is related to social fairness and maximization of social benefits, is still challenging. Experience-based assignment methods tend to lead to extremely uneven working hours among the working/inspection teams. Therefore, it is of great significance to establish a theoretical framework that minimizes the number of working teams and the total working hours as well as balances the working hours of inspection teams. Based on two real power lines in Jinhua city, we first provide the theoretical range of the minimum number of inspection teams and also present a fast method to obtain the optimal solution. Second, we propose a transfer-swap algorithm to balance working hours. Combined with an intelligent optimization algorithm, we put forward a theoretical framework to balance the working hours and minimize the total working hours. The results based on the two real power lines verify the effectiveness of the proposed framework. Compared with the algorithm without swap, the total working hours obtained by the transfer-swap algorithm are shorter. In addition, there is an interesting finding: for our transfer-swap algorithm, the trivial greedy algorithm has almost the same optimization results as the simulated annealing algorithm, but the greedy algorithm has an extremely short running time.

show abstract

“…O problema de minimização de equipes de inspeção em linhas de transmissão de energia é resolvido em (HU et al, 2020). Dado as linhas de transmissão de destino e as horas de trabalho restritas para cada inspetor, o objetivo principal é minimizar e equilibrar as horas de trabalho de cada equipe de inspeção com o número mínimo de equipes.…”

Section: Minimização E Balanceamento Das Rotasunclassified

Coordenação de Múltiplos Veículos Autônomos de Entrega Usando K-Means e Algoritmos Bio-Inspirados

Silva¹

View full text Add to dashboard Cite

Primeiramente, agradeço a Deus pelo dom da vida e por todas as oportunidades a mim concedidas. Creio que o Senhor vem me acompanhando e guiando cada passo de minha trajetória. Agradeço a mãe de Jesus Cristo que vêm me cobrindo com seu manto sagrado e intercedendo por mim. Agradeço aos meus pais e irmãos por serem fundamentais em toda minha vida e torcerem por mim em todos os momentos. Gostaria de agradecer à minha namorada Taís por compreender a importância do meu sonho em cursar um mestrado e, principalmente, por estar ao meu lado e torcendo por mim. Agradeço também à sua mãe Geralda por todo carinho e orações. Ao Pessoal do Laboratório de Robótica Móvel do ICMC/USP, Tiago, Iago, Júnior que colaboraram no experimento com o veículo CaRINA II. Agradeço também ao Lucas que ofereceu estadia nos dias em que estive em São Carlos. Ao Professor Jefferson pela orientação, gentileza e compreensão durante o desenvolvimento desse trabalho. Obrigado! Ao Professor Raul pela coorientação, por me atender prontamente, mesmo em seu horário de trabalho, nas vezes em que fui no CTI-UFU para esclarecimento de dúvidas, por acreditar em mim para continuação dessa pesquisa. Meu muito obrigado! Aos Professores da Pós Graduação da FACOM/UFU pelos ensinamentos e conhecimentos compartilhados. Aos secretários de pós-graduação, Sônia e Erisvaldo, pela prestatividade e boa vontade que sempre me auxiliaram. Aos Professores da Graduação do IFTM Campus Patrocínio pelos ensinamentos e conhecimentos compartilhados e por terem me iniciado no campo da pesquisa cientíĄca. Aos meus amigos do apartamento, Douglas, Leonard e Raphael, os quais Ązeram o início desse período de adaptação em Uberlândia mais fácil me proporcionando momentos de distração e parceria. Aos meus amigos da graduação e equipe das maratonas de programação. Aos meus amigos da pós-graduação, que tive a oportunidade de troca de conhecimento e pensamentos. Aos amigos do trabalho, onde pude aprender muito e aplicar um pouco do conhecimento que adquiri no decorrer de minha vida acadêmica. As crianças do CRAS Geraldo Tuniquinho por entenderem a minha saída em prol dos estudos. Desejo que todos estejam muito bem. EnĄm, agradeço a todos aqueles que sempre me apoiaram e torceram por mim.

show abstract

Optimize Grouping and Path of Pylon Inspection in Power System

Cited by 3 publications

References 65 publications

K-Means and Alternative Clustering Methods in Modern Power Systems

K-Means and Alternative Clustering Methods in Modern Power Systems

Optimal Path Planning With Minimum Inspection Teams and Balanced Working Hours For Power Line Inspection

Coordenação de Múltiplos Veículos Autônomos de Entrega Usando K-Means e Algoritmos Bio-Inspirados

Contact Info

Product

Resources

About