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http://dx.doi.org/10.5370/JEET.2014.9.4.1154

Developing a New Risk Assessment Methodology for Distribution System Operators Regulated by Quality Regulation Considering Reclosing Time  

Saboorideilami, S. (Department of electrical engineering, Science and Research Branch)
Abdi, Hamdi (Electrical Engineering Department, Engineering Faculty, Razi University)
Publication Information
Journal of Electrical Engineering and Technology / v.9, no.4, 2014 , pp. 1154-1162 More about this Journal
Abstract
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.
Keywords
Distribution systems; Quality regulation; Monte carlo simulation; Reclosing time; Risk assessment; Distribution system operators;
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