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Unified Reliability and Its Cost Evaluation in Power Distribution Systems Considering the Voltage Magnitude Quality and Demand Varying Load Model  

Yun, Sang-Yun (The Power Research Center of LG Cable)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers A / v.52, no.12, 2003 , pp. 705-712 More about this Journal
Abstract
In this paper, we propose new unified methodologies of reliability and its cost evaluation in power distribution systems. The unified method means that the proposed reliability approaches consider both conventional evaluation factor, i.e. sustained interruptions and additional ones, i.e. momentary interruptions and voltage sags. Because the three voltage quality phenomena generally originate from the outages on distribution systems, the basic and additional reliability indices are summarized considering the fault clearing mechanism. The proposed unified method is divided into the reliability evaluation for calculating the reliability indices and reliability cost evaluation for assessing the damage of customer. The analytic and probabilistic methodologies are presented for each unified reliability and its cost evaluation. The time sequential Monte Carlo technique is used for the probabilistic method. The proposed DVL(Demand Varying Load) model is added to the reliability cost evaluation substituting the average load model. The proposed methods are tested using the modified RBTS(Roy Billinton Test System) form and historical reliability data of KEPCO(Korea Electric Power Corporation) system. The daily load profile of the each customer type in domestic are gathered for the DVL model. Through the case studies, it is verified that the proposed methods can be effectively applied to the distribution systems for more detail reliability assessment than conventional approaches.
Keywords
Reliability evaluation; reliability cost; voltage magnitude quality; demand varying load; analytic method; probabilistic method; Monte Carlo Method; interruptions; and voltage sags.;
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Times Cited By KSCI : 1  (Citation Analysis)
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