• Journal of Electrical Engineering and Technology
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• v.4 no.1
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• pp.43-48
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• 2009

The purpose of the this paper is to make decision of the maintenance priority of power distribution system using Time-Varying Failure Rate(TVFR) with interruption cost. This paper emphasizes the practical use of the reliability indices and interruption cost. To make a decision of maintenance priority on power distribution system equipment, the quantification of the reliability level should be represented as a cost. In this paper, the TVFR of power distribution system equipment applied in this paper utilizes analytic method to use the historical data of KEPCO. From this result, the sensitivity analysis on TVFR of equipment was done for the priority, which represents that high priority of the equipment has more effect on system reliability, such as SAIDI or SAIFI, than other equipment. By this priority, the investment plan is established. In this result, customer interruption cost(CIC) could be extracted, and CIC is used as weighting factor to consider a importance of customer. After that, the result calculated the proposal method in this paper is compared with other priority method, such as lifetime, failure rate or only sensitivity.

• Journal of Electrical Engineering and Technology
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• v.9 no.4
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• pp.1154-1162
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• 2014

In the restructured electricity market, Performance-Based Regulation (PBR) regime has been introduced to the distribution network. To ensure the network stability, this regime is used along with quality regulations. Quality regulation impose new financial risks on distribution system operators (DSOs). The poor quality of the network will result in reduced revenues for DSOs. The mentioned financial risks depend on the quality indices of the system. Based on annual variation of these indices, the cost of quality regulation will also vary. In this paper with regard to reclosing fault in distribution network, we develop a risk-based method to assess the financial risks caused by quality regulation for DSOs. Furthermore, in order to take the stochastic behavior of the distribution network and quality indices variations into account, time-sequential Monte Carlo simulation method is used. Using the proposed risk method, the effect of taking reclosing time into account will be examined on system quality indicators and the cost of quality regulation in Swedish rural reliability test system (SRRTS). The results show that taking reclosing fault into consideration, affects the system quality indicators, particularly annual average interruption frequency index of the system (SAIFI). Moreover taking reclosing fault into consideration also affects the quality regulations cost. Therefore, considering reclosing time provides a more realistic viewpoint about the financial risks arising from quality regulation for DSOs.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.4
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• pp.177-184
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• 2005

This paper proposes a improved investment priority decision method of the facilities considering the reliability of distribution networks. The proposed method decides a investment order of the facilities combining, by fuzzy rules, the investment priority decision of KEPCO and the priority decision considering reliability evaluation indices. Where reliability evaluation indices are SAIFI(System Average Interruption Frequency Index) and SAIDI(System Average Interruption Duration Index), as referred to evaluation index for sustained interruption. The reliability analysis method of distribution networks applied in this paper utilizes analytic method, where the used reliability data is historical data of KEPCO. Particularly, we assumed that the failure rate increased as the equipment ages. To verify the performance of the proposed method, we applied it with the planned projects to reinforce the weak facility electrical facilities in KEPCO in 2004. The evaluation result showed that, under a limited budget, the reliability of the KEPCO in the Busan region using the proposed method can be enhanced than using the conventional KEPCO's method. Therefore, the results verify the proposed method can be efficiently used in the actual priorities method for investing the electrical facilities.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.47-55
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• 2022

The purpose of this study was to determine the relationship between company risk and factors such as business size, ownership structure, and leverage. The study was conducted on 142 manufacturing sector companies listed on the Indonesia Stock Exchange from 2013 to 2018. The purposive sampling method was used to select the research sample. The sample size for this study was 21 different companies. The analytical approach uses Structural Equation Modeling (SEM) with WarpPLS. According to the findings of the investigation, the size of the company has a significant influence on both the amount of leverage the company uses and the amount of risk the company takes. The level of leverage is significantly influenced by the ownership structure. However, the ownership structure does not have a significant impact on the level of risk the company; rather, leverage has a big impact on the level of risk the company faces. The findings of this study are helpful to prospective investors in measuring the risk posed by the company to make judgments regarding investments. The findings of this study are also essential for management to consider while controlling the risk of the organization.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.5
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• pp.603-607
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• 2004

Randomly Amplified Polymorphic DNA-Polymerase Chain Reaction (RAPD-PCR) analysis was carried out with a battery of 11 random decamer primers to study band frequency (BF), genetic identity index (I) and mean average percentage difference (MAPD) between Bhadawari and Murrah breeds of buffalo. The primers OPA04 and BG15 resolved a band of 460 bp, which was present only in animals of Bhadawari breed. Whereas, the primers OPA14, BG27 and BG28 produced Murrah specific fragments of sizes 730 bp and 1,230 bp, respectively. The estimate of genetic identity index was highest (0.845) with the primer OPA01 and the lowest (0.479) with the primer BG27. The genetic identity index pooled over the primers was 0.596${\pm}$0.037 between these two breeds. The highest MAPD estimate (53.9) between the two breeds was obtained with the primer BG27 and the lowest (14.3) with the primer OPA01. It might be concluded that the genetic identity index between these two breeds calculated on the basis of BF showed moderate level of genetic identity with the primers employed. MAPD calculated on the basis of uncommon bands also demonstrated lower to medium level of genetic difference between Bhadawari and Murrah breeds of buffalo.