Reliability assessment of a practical power system using Monte Carlo simulation

Al-Wafi, Essam; Al-Subhi, Ahmad; Al-Muhaini, Mohammad

doi:10.1109/sasg.2015.7449276

Cited by 5 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Monte Carlo simulation (MCS) can be categorized as nonsequential (Pereira and Balu, 1992), and sequential (Peng Wang and Billinton, 2002). In nonsequential Monte Carlo simulation (NSMCS), the states of the system are randomly sampled (Al‐Wafi et al., 2015; Rei et al., 2006; Urgun and Singh, 2018), while in sequential MCS (SMCS), the system states are simulated in chronological order (Billinton and Peng, 1999; de Sousa et al., 2019; Liu et al., 2017), providing statistically more reliable information (Hadjsaïd et al., 2013).…”

Section: Background and Related Workmentioning

confidence: 99%

A variable neighborhood search simheuristic algorithm for reliability optimization of smart grids under uncertainty

Antoniadis

Cordy

Sifaleras

et al. 2021

Int Trans Operational Res

View full text Add to dashboard Cite

A fundamental part of the self‐healing grid is reducing disturbances and automatically responding to problems. Toward this goal, smart grid operators would be of great use to ensure stability after a potential overload for a planning horizon, as the electrical values are unknown. To evaluate the robustness of the topology reconfiguration after a disturbance, like an overload, reliability analysis through simulation can be employed. However, the simulation approach we propose in this paper, except for the excessive time it consumes, cannot assure the quality of its solutions. To achieve a more robust configuration, we, additionally, propose a single‐stage stochastic program to optimize the grid topology configuration after a potential overload to ensure stability for the next day. We suggest a simheuristic approach based on a Variable Neighborhood Search metaheuristic to solve the above stochastic optimization problem. We evaluate the two approaches for this real‐world problem, together with Creos Luxembourg S.A., the leading grid operator in Luxembourg. We show that our method can quickly suggest countermeasures to operators facing potential overloading incidents, ensuring the smart grid's stability for the next day.

show abstract

Section: Background and Related Workmentioning

confidence: 99%

A variable neighborhood search simheuristic algorithm for reliability optimization of smart grids under uncertainty

Antoniadis

Cordy

Sifaleras

et al. 2021

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…In the power system industry, the evaluation of system reliability based on the Monte Carlo simulation method [11, 12] has been widely applied and recognised. As MEA is now increasingly electrified, modelling its system as a power system might be an alternative approach.…”

Section: Introductionmentioning

confidence: 99%

“…However, the application of these methods to the reliability assessment of the MEA system is still at the conceptual stage, without a proper mathematical model. In the power system industry, the evaluation of system reliability based on the Monte Carlo simulation method [11,12] has been widely applied and recognised. As MEA is now increasingly electrified, modelling its system as a power system might be an alternative approach.…”

mentioning

confidence: 99%

Reliability and sensitivity analysis of more‐electric aircraft based on cross‐entropy

Cao

2020

Electron. lett.

View full text Add to dashboard Cite

The traditional Monte Carlo sampling method has several deficiencies in evaluating the reliability of more-electric aircraft (MEA), such as more sampling times and longer simulation time, due to the complex topology and low probability of failure of the aircraft. In this Letter, the optimal probability distribution of multi-component systems is introduced by cross-entropy, which theoretically makes the variance of reliability evaluation zero. Based on this, an evaluation method for the power-supply reliability of MEA is presented. For further analysis of the system vulnerabilities, the sensitivity of MEA is modelled based on reliability calculation. Finally, the hybrid MEA and high-voltage direct current MEA power systems are used as application scenarios to calculate the reliability and sensitivity. The results show that the proposed method has advantages in evaluating small probability events, and it is useful for the optimisation of MEA's power-supply system structure.

show abstract

Optimal tie line placement of distribution system incorporating performance based rates

Verma

2017

2017 7th International Conference on Power Systems (ICPS)

View full text Add to dashboard Cite

Reliability assessment of a practical power system using Monte Carlo simulation

Cited by 5 publications

References 0 publications

A variable neighborhood search simheuristic algorithm for reliability optimization of smart grids under uncertainty

A variable neighborhood search simheuristic algorithm for reliability optimization of smart grids under uncertainty

Reliability and sensitivity analysis of more‐electric aircraft based on cross‐entropy

Optimal tie line placement of distribution system incorporating performance based rates

Contact Info

Product

Resources

About