Weather-based distribution system reliability evaluation

Billinton, R.; Acharya, Janak

doi:10.1049/ip-gtd:20050427

Cited by 44 publications

(36 citation statements)

References 4 publications

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“…Operational security of overhead transmission lines has a close relationship with the external meteorological conditions. Weather factors need to be taken into consideration for a reliability assessment of overhead transmission lines, which is important for economic-security decision making [5][6][7]. Failure probability of overhead transmission lines is essential in applying an appropriate reliability assessment method.…”

Section: Introductionmentioning

confidence: 99%

Failure probability estimation of overhead transmission lines considering the spatial and temporal variation in severe weather

Yang

Zhou

Zhu³

et al. 2018

J. Mod. Power Syst. Clean Energy

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Estimation for weather-related failure probability of overhead transmission lines is essential in the reliability assessment of a power system. This paper analyzes the outage and weather data of 110 kV overhead transmission lines in the Guangxi Zhuang Autonomous Region of China during 2011-2014. The result reveals obvious uneven distributions of outage events for time and space due to the spatial and temporal variation of severe weather. Based on the results, an estimation method is proposed in this paper. Split and aggregation is used to smooth the outage and weather data. The poisson model is adopted in our method to investigate the statistic characteristics of transmission line outage events. Regression analysis is applied to obtain the correlation between the weather intensity and history failure rate. Furthermore the method proposed is validated against the empirical outage data.

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Section: Introductionmentioning

confidence: 99%

Failure probability estimation of overhead transmission lines considering the spatial and temporal variation in severe weather

Yang

Zhou

Zhu³

et al. 2018

J. Mod. Power Syst. Clean Energy

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“…There have been noteworthy researches in developing reliability assessment methods [5][6][7][8][9]. However, the modern DGs and BESS in distribution system can either affect system reliability due to intermittency or guarantee the uninterruptible power supply by operating as microgrid when fault occurs.…”

Section: Introductionmentioning

confidence: 99%

“…Both analytic and simulation methods are presented and compared in the proposed framework. Factorization and decomposition are used to address the topology simplification [9]. Based on distribution system models, minimal cut-set technique [6,9] and Markov models [15][16][17] are applied to evaluate simple systems, while the Monte Carlo simulation method can be performed for complex systems [18,19].…”

Section: Introductionmentioning

confidence: 99%

Optimal integration of mobile battery energy storage in distribution system with renewables

Zheng

Dong

Huang³

et al. 2015

J. Mod. Power Syst. Clean Energy

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An optimal sizing method is proposed in this paper for mobile battery energy storage system (MBESS) in the distribution system with renewables. The optimization is formulated as a bi-objective problem, considering the reliability improvement and energy transaction saving, simultaneously. To evaluate the reliability of distribution system with MBESS and intermittent generation sources, a new framework is proposed, which is based on zone partition and identification of circuit minimal tie sets. Both analytic and simulation methods for reliability assessment are presented and compared in the framework. Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.

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“…Cette approche montre cependant ses limites : les indicateurs, bien que plus robustes à l'aléa météorologique que les indicateurs « bruts », dépendent toujours de cet aléa (Figure 1). Par ailleurs, des indices ignorant l'impact de conditions environnementales défavorables risquent, par leur optimisme, d'affecter les décisions en matière de gestion de réseaux (Billinton et al, 2006). Un récent rapport de la Commission de Régulation de l'Energie a souligné la nécessité de contrôler la continuité de fourniture en situation normale, mais aussi de connaître la capacité du réseau à résister à des phénomènes météorologiques exceptionnels de part leur ampleur ou leur intensité.…”

Section: Introductionunclassified

Évaluation de l’impact des conditions climatiques sur la fiabilité du réseau électrique par des processus stochastiques

Guerineau¹,

Carer²

2015

Congrès Lambda Mu 19 De Maîtrise Des Risques Et Sûreté De Fonctionnement

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RésuméPour les gestionnaires de réseau électrique, l'évaluation de la fiabilité résultant de l'efficacité de la maintenance et de l'exploitation est un élément essentiel à la mise en oeuvre de politiques d'amélioration de la qualité de fourniture ambitieuses. Les indices de qualité de fourniture réglementaires actuels montrent une certaine sensibilité à l'aléa météorologique. Ceci nous a conduit à envisager de nouveaux indices robustes face à cet aléa, mais également à mieux connaître la capacité du réseau électrique à résister à des phénomènes météorologiques plus ou moins sévères. Pour cela, nous proposons de modéliser les coupures imputables à chacun des matériels du réseau HTA (moyenne tension) en fonction des conditions climatiques influentes à l'aide de processus de comptage d'intensité multiplicative. A titre d'exemple, nous montrons comment ce type de modèle permet d'expliquer les nombres de défaillances observés sur les transformateurs HTA/BT (moyenne tension/basse tension), à partir du seul facteur foudre. Le processus global de comptage des coupures est ensuite obtenu par superposition des processus associés à chacun des matériels du réseau. L'ajustement de ce modèle, réalisé par maximum de vraisemblance, devrait fournir des informations utiles au décideur dans l'objectif de connaître l'évolution de la fiabilité intrinsèque du réseau, due à son vieillissement, en distinguant les contributions des différents composants. Il permettrait également de quantifier la sensibilité des composants du réseau à l'aléa météorologique. Dans un contexte d'intensification des épisodes météorologiques remarquables, la prise en compte de l'impact climatique sur la fiabilité du réseau s'avère en effet indispensable. SummaryAssessment of the reliability resulting of maintenance and exploitation of the electrical network is a key element for the Distribution System Operators to implement policies improving the quality of electricity supply. The existing regulatory criteria are weather sensitive. This led us to consider some new indices that are robust to the meteorological impact, but also to improve our knowledge of the network ability to face exceptional climate events. In that purpose, we propose a global reliability model for the MV (Mean Voltage) power distribution system that incorporates the weather effect on reliability, for each component of the network, using multiplicative intensity counting processes. For example, it is shown how of this model makes possible to explain the number of mean voltage-low voltage transformers' failures, on the basis on lightning factor. Superposition of the processes associated to the different components then gives a global reliability model for the distribution network. The estimation of the model, performed using the maximum likelihood method, provides useful information for the decider for network planning and decision : it enables a follow up of the intrinsic reliability of the network, as well as the sensitivity to the meteorological variables, by component and by year. In a co...

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Weather-based distribution system reliability evaluation

Cited by 44 publications

References 4 publications

Failure probability estimation of overhead transmission lines considering the spatial and temporal variation in severe weather

Failure probability estimation of overhead transmission lines considering the spatial and temporal variation in severe weather

Optimal integration of mobile battery energy storage in distribution system with renewables

Évaluation de l’impact des conditions climatiques sur la fiabilité du réseau électrique par des processus stochastiques

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