Development of Power Distribution Facility Map Input System Using Automatic Image Recognition Technology

Shin, Jin-Ho; Yi, Bong-Jae; Kim, Young Il; Yang, Il-Kwon

doi:10.1109/tpwrd.2009.2035389

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…In [21], graph theory processes are used to detect GIS errors for distribution, and similarly, in [22], the objective is to find errors in GIS data at the distribution level (particularly at the secondary level near the customers), using analysis that considers GIS data, network topology data, and customer physical addresses with a clustering-based procedure. A related effort applies image processing algorithms to improve system mapping [23].…”

Section: Introductionmentioning

confidence: 99%

Geographic coordinate validation and assignment using an edge-constrained layout

Birchfield

2024

J. Eng. Appl. Sci.

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Electric grids with buses that are mapped to geographic latitude and longitude are useful for a growing number of applications, such as data visualization, geomagnetically induced current calculations, and multi-energy coupled infrastructure simulations. This paper presents a methodology for validating the quality of geographic coordinates for a power system model, and to assign coordinates to buses with missing or low-quality coordinates. This method takes advantage of geographic indicators already intrinsic to a grid model, such as branch length as implied by impedance and susceptance parameters. The coordinate assignment process uses an approach inspired by graph drawing, that lays out the vertices (buses) and edges (transmission lines), formulated as a nonlinear programming problem with soft edge length constraints. The layout method is very computationally fast and scalable to large power system cases. The method is demonstrated in this paper using a 37-bus test case and a 6717-bus test case, both publicly available, along with a large actual grid model. The results show that, for cases with only a few errors in the coordinates, cases with no coordinates known beforehand, and others in between, this method is able to assign reasonable geographic coordinates to best match known data about the grid.

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Section: Introductionmentioning

confidence: 99%

Geographic coordinate validation and assignment using an edge-constrained layout

Birchfield

2024

J. Eng. Appl. Sci.

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“…In [10], GIS is used to obtain acceptable power line paths by integrating the diverse socioeconomic interests of different groups involved in the planning process such as utilities, environmental agents, and local authorities. Image recognition techniques are used in [11] helping design GIS database. An efficient and fast identification scheme is proposed in this paper so that transmission towers locating inside or in the neighborhood of the afore-mentioned feature regions can be easily identified.…”

Section: Introductionmentioning

confidence: 99%

Identification of High Risk Feature Regions for Transmission Towers

Yao

Tsai

Chang

2014

AMR

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Torrential rainfall or continuous rainfall for a certain period of time may wash out the foundation of transmission towers and cause tilt or collapse of towers. Special attentions are required for the towers locating at the feature regions such as high risk landslides, mediocre risk landslides, mudslides, dip slopes, and fault zones. The towers locating inside or in the neighborhood of these features regions in Geographic Information System are identified and given different alert limits of precipitation. Accuracy and computational speed are both put into consideration in the design of the proposed approach because vast amount of transmission towers is required to process at a time.

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“…At present, a large amount of valuable electric power data has been accumulated by various systems of the power industry for decades. However, the electric power sector hasn't invested much enough on data management and comprehensive analysis for a long time [1], and this data is often intricately stored in different electric power system, resulting in complex data types, large calculation difficulty and high storage costs. In response to these issues, how to analyze, process and refine various types of electric power data effectively has become a key issue to electric power industry.…”

Section: Introductionmentioning

confidence: 99%

A Method of Constructing Electric Power Data Warehouse Based on Cloud Computing

Wang

Xiao

2012

AMR

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Hive is a data warehouse architecture in cloud computing. In order to solve the inadequate of massive data storage, query, and computing power in current electric power data warehouse, a method of electric power data warehouse based on Hive is proposed. Combining data analysis demands of electric power entreprises, the integration architecture between Hive and column-oriented storage is designed in electric power data warehouse, and the process of which is also given. At last, electric power equipment condition data is used for experiment on Hadoop cluster, results show that this method can quickly achieve query and analysis in massive multidimensional data set.

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Development of Power Distribution Facility Map Input System Using Automatic Image Recognition Technology

Cited by 6 publications

References 17 publications

Geographic coordinate validation and assignment using an edge-constrained layout

Geographic coordinate validation and assignment using an edge-constrained layout

Identification of High Risk Feature Regions for Transmission Towers

A Method of Constructing Electric Power Data Warehouse Based on Cloud Computing

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