Dynamic cache partitioning-based redundancy time optimization for smart substation inspection.

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Bibliographic Details
Title:	Dynamic cache partitioning-based redundancy time optimization for smart substation inspection.
Authors:	Xiaoxu, Wang¹, Xiaofan, Song² 419493437@qq.com, Hongming, Shen¹, Congyin, Wu¹, Wenjie, Cui¹, Jianbo, Yu³, Yongzhong, Zhou³
Source:	Journal of Power Technologies. 2025, Vol. 105 Issue 4, p365-375. 11p.
Subjects:	Electric substations, Cache memory, Engineering inspection, Digital transformation, Electronic data processing, Electric power distribution grids
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 smar t 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 an d 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 inspecti on 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 inspec tion duration. Finally, taking the data capacity of a 500 kV smart substation as an example, the feasibility of this scheme is verified. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
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 smar t 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 an d 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 inspecti on 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 inspec tion duration. Finally, taking the data capacity of a 500 kV smart substation as an example, the feasibility of this scheme is verified. [ABSTRACT FROM AUTHOR]
ISSN:	20834187