Soft Sensing Image Analysis and Processing Method of Substation Equipment Defects
Article Sidebar
Main Article Content
Abstract
In the context of incentivizing regulation for distribution companies, the utilization of a reference network model proves to be a valuable tool for evaluating their effective cost. These models play a crucial role in planning expansive distribution areas that encompass various voltage levels. This paper introduces a green space planning algorithm designed to optimize the location, size, and power supply areas of medium and low voltage substations within the Reference Network Model (RNM). The algorithm aims to enhance the efficiency and environmental impact of these substations. The focus of this study extends to two key aspects: the creation of "environment-friendly" substations and the significance of implementing "resource-saving" substations in China. The evaluation of "environment-friendly" and "resource-saving" characteristics is conducted through comprehensive analysis, with results indicating notable features. Feature 1, associated with environmental friendliness, is measured at 0.363, while Feature 2, emphasizing resource-saving attributes, achieves a high score of 0.835. Furthermore, Feature 3, addressing the importance of implementing these eco-friendly substations in the Chinese context, attains a commendable score of 0.824. The findings underscore the potential of the proposed green space planning algorithm in enhancing the sustainability and efficiency of medium and low voltage substations within the incentive regulation framework for distribution companies.
Article Details
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with International Journal for Applied Information Management agree to the following terms: Authors retain copyright and grant the International Journal for Applied Information Management right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) the work for any purpose, even commercially with an acknowledgement of the work's authorship and initial publication in International Journal for Applied Information Management. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in International Journal for Applied Information Management. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).