Dynamic Cache Partitioning-Based Redundancy Time Optimization for Smart Substation Inspection
Abstract
Smart substations are the key to the intelligent construction of the power grid. Efficient data processing and inspection optimization are of great significance for the safe and stable operation of the power grid. However, current data - processing in smart substations suffers from problems such as the mismatch between processing and loading time and long redundant time, which restricts its in - depth digital development. To address these issues, this paper first analyzes the relationship between the types and capacities of data in smart substations and identifies the main causes of redundant data - processing time. Based on this, a cache partitioning strategy is formulated according to the data capacity characteristics, and the relationship among the inspection sequence, cache space, and redundant time is further explored. Combining the importance of equipment and historical failure rates, a screening scheme for the inspection sequence is established to reduce data-processing redundancy and optimize the inspection duration. Finally, taking the data capacity of a 500 kV smart substation as an example, the feasibility of this scheme is verified.
Published
2026-01-16
How to Cite
XIAOXU, Wang et al.
Dynamic Cache Partitioning-Based Redundancy Time Optimization for Smart Substation Inspection.
Journal of Power Technologies, [S.l.], v. 105, n. 4, p. 365--375, jan. 2026.
ISSN 2083-4195.
Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1966>. Date accessed: 07 oct. 2026.
Issue
Section
Electrical Engineering
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- 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 this journal.
- 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).
