| Title |
Economic Life Assessment of Power Transformer using HS Optimization Algorithm |
| Authors |
이태봉(Lee, Tae-bong) ; 손진근(Shon, Jin-geun) |
| DOI |
https://doi.org/10.5370/KIEEP.2017.66.3.123 |
| Keywords |
AM(asset management) ; HS(harmony search) ; LCC(life cycle cost) technique ; Power transformer ; Stochastic random search |
| Abstract |
Electric utilities has been considered the necessity to introduce AM(asset management) of electric power facilities in order to reduce maintenance cost of existing facilities and to maximize profit. In order to make decisions in terms of repairs and replacements for power transformers, not only measuring by counting parts and labor costs, but comprehensive comparison including reliability and cost is needed. Therefore, this study is modeling input cost for power transformer during its entire life and also the life cycle cost (LCC) technique is applied. In particular, this paper presents an application of heuristic harmony search(HS) optimization algorithm to the convergence and the validity of economic life assessment of power transformer from LCC technique. This recently developed HS algorithm is conceptualized using the musical process of searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient search so that derivative information is unnecessary. The effectiveness of the proposed identification method has been demonstrated through an economic life assessment simulation of power transformer using HS optimization algorithm. |