Open AccessKey Performance Index for Overall Substation Performance
Author(s) -
Nisha Prasad,
C. Radhakrishna
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3797.078219
Subject(s) - reliability engineering , overall equipment effectiveness , reliability (semiconductor) , key (lock) , index (typography) , asset management , performance indicator , measure (data warehouse) , total productive maintenance , asset (computer security) , computer science , quality (philosophy) , process (computing) , engineering , power (physics) , production (economics) , computer security , business , data mining , philosophy , physics , finance , epistemology , quantum mechanics , marketing , world wide web , economics , macroeconomics , operating system
Performance of electrical distribution utilities depends on substations which are serving the end consumers. Consumer demands are mainly focused on the uninterrupted supply of quality power at low cost. These requirements are met by the effective and efficient operation of substations. Substations adopt various asset management strategies and effective maintenance management techniques to improve their overall performance to meet the utility level customer related targets. Focused index to measure the effectiveness these measures are required for performance monitoring and improvements. In the literature reliability based indices are proposed to measure the substation performance. These indices even though provide some insight to the overall substation condition, but do not provide the overall performance centric index depicting the operational (maintenance) effectiveness and efficiency of a substation. In this paper a new performance index called as Overall Substation Effectiveness (OSE) based on Total Productive Maintenance (TPM) and Overall Equipment Effectiveness (OEE) is presented for measuring the substation performance. OSE will provide such a data which enables the organizations to identify the opportunities for improvement in the process.