2014
DOI: 10.5370/jeet.2014.9.4.1154
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Developing a New Risk Assessment Methodology for Distribution System Operators Regulated by Quality Regulation Considering Reclosing Time

Abstract: -In the restructured electricity market, Performance-Based Regulation (PBR) regimehas 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… Show more

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Cited by 3 publications
(5 citation statements)
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References 17 publications
(32 reference statements)
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“…Later on as compared to the performance-based regulation, Latify et al (2013) used energy based reliability index (EIR) such as EENS instead of the common system reliability indices for evaluating the reliability and assigned rewards/penalties to the distribution companies. Saboorideilami and Abdi (2014) developed a risk-based method using time-sequential Monte Carlo simulation method, to assess the financial risks caused by quality regulation for power distribution companies, to take the stochastic behavior of the distribution network and quality indices(SAIFI, SAIDI, and CAIDI) variations. Based on the concept of Yardstick theory as compared to the Monte Carlo simulation method used by Saboorideilami and Abdi (2014), Jooshaki (2014) have designed reward/penalty structure based on AENS and SAIFI for power distribution companies using Fuzzy C-means algorithm, which ensure regulators to improve the service reliability by creating a perfect competition between distribution systems.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Later on as compared to the performance-based regulation, Latify et al (2013) used energy based reliability index (EIR) such as EENS instead of the common system reliability indices for evaluating the reliability and assigned rewards/penalties to the distribution companies. Saboorideilami and Abdi (2014) developed a risk-based method using time-sequential Monte Carlo simulation method, to assess the financial risks caused by quality regulation for power distribution companies, to take the stochastic behavior of the distribution network and quality indices(SAIFI, SAIDI, and CAIDI) variations. Based on the concept of Yardstick theory as compared to the Monte Carlo simulation method used by Saboorideilami and Abdi (2014), Jooshaki (2014) have designed reward/penalty structure based on AENS and SAIFI for power distribution companies using Fuzzy C-means algorithm, which ensure regulators to improve the service reliability by creating a perfect competition between distribution systems.…”
Section: Literature Reviewmentioning
confidence: 99%
“…To excuse the cost of reserve funds in maintenance and investment, that will compel the decay of system reliability, a method known as, Performance-Based Regulation (PBR), has been presented and includes the objective of maintaining a balance of service reliability and the utility expenses a key issue in today's energy market. PBR is an agreement that rewards a utility for providing great reliability and/or punishes a utility when the inverse happens Saboorideilami and Abdi 2014). This infers the penalties are expanded as the performance deteriorates.…”
Section: Introductionmentioning
confidence: 99%
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