A Stochastic Markov Model for Reliability-Centered Maintenance Approach in Electrical Distribution networks

Ardabili, Habib Allah Ravaghi; Haghifam, Mahmoud‐Reza; Abedi, Sara

doi:10.1049/icp.2021.1913

Cited by 1 publication

(3 citation statements)

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“…where budget (t) is the annual budget and 𝛾 B is the coefficient of increase in the required annual budget are according to the existing uncertainties, which should be determined before solving the problem, according to the existing constraints. Reliability indexes are used to evaluate the level of network stability [10]. Reliability indexes used here include AENS, CAIDI, ENS, failure rate index (𝜆), SAIDI, and SAIFI that are more important in network maintenance planning and considered in the objective function and constraints of the problem.…”

Section: Constraints Of the Problemmentioning

confidence: 99%

“…Reliability indexes are used to evaluate the level of network stability [10]. Reliability indexes used here include AENS, CAIDI, ENS, failure rate index (

\lambda

), SAIDI, and SAIFI that are more important in network maintenance planning and considered in the objective function and constraints of the problem.…”

Section: Constraints Of the Problemmentioning

confidence: 99%

“…Furthermore, regarding three‐state MM, the objective function is specified to identify the critical components of the system based on the budget constraints and interruption cost of the subscribers. Reference [10] used an optimal stochastic RCM approach in which online and offline monitoring techniques were used with the presence of distributed generation (DG), and demand response (DR) to reduce costs and increase reliability. The reliability of distribution system equipment was confirmed based on the three‐state MM, and given the uncertainty of maintenance duration.…”

Section: Introductionmentioning

confidence: 99%

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Long‐term and multi‐objective maintenance scheduling of medium voltage overhead lines based on LP metric method

Moghadam,

Bagheri,

Salemi

et al. 2024

IET Generation Trans & Dist

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Planning maintenance of medium voltage overhead lines is one of the most important issues in the studies on power distribution network, which will prevent and reduce unwanted interruption. In this paper, long‐term maintenance of medium voltage networks was planned by multi‐objective function, including an extended mixed‐integer linear model to optimize costs, energy not supplied (ENS), and average interruption duration index (SAIDI). In addition, the uncertainty about the annual growth rate of the load, the increase in the cost of goods and services and the increase in the selling price of energy as well as various constraints are all included in the desired objective function, which is one of the main innovations of this paper compared to other published studies. To apply the uncertainties, information gap decision theory (IGDT) has been used, and to solve the objective functions, LP‐Metric method has been used. The proposed method was implemented on the standard 11‐bus RBTS network by MATLAB and GAMS. The results showed that three different long‐term maintenance plans proposed here lead to the optimization of the annual maintenance costs of network, reduction in ENS and interruption, and increase in the reliability of the network based on the uncertainty of each feeder.

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Section: Constraints Of the Problemmentioning

confidence: 99%

“…Reliability indexes are used to evaluate the level of network stability [10]. Reliability indexes used here include AENS, CAIDI, ENS, failure rate index (

\lambda

), SAIDI, and SAIFI that are more important in network maintenance planning and considered in the objective function and constraints of the problem.…”

Section: Constraints Of the Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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