This paper presents a novel consensus clustering (CC) approach for a document repository concerning power substations (PSD) and contributes to the intangible asset management of power systems. A domain ontology model

i.e.

substation ontology (SONT)

is applied to modify the traditional vector space model (VSM) for document representation

which is concerned with the semantic relationship between terms. A new document representation is generated using a term mutual information matrix with the aid of SONT. In addition

compared with two other novel CC algorithms

i.e.

non-negative matrix factorisation-based CC (NNMF-CC) and information theory-based CC (INT-CC)

weighted partition via kernel-based CC algorithm (WPK-CC) is utilised to solve the CC issue for PSD. Meanwhile

genetic algorithms (GA) were applied to WPK-CC for PSD

as there are limitations in the original WPK-CC for document clustering. Subsequently

selected mechanisms in each GA's procedure are compared and improved

resulting in comprehensive parameter settings for the PSD CC. Four simulation studies have been designed

in which the results are evaluated by purity validation method and show that the SONT-based document representation and improved WPK-CC

via modified GA

significantly improve the performance of the PSD CC.