Analyzing the research subjects and hot topics of power system reliability through the Web of Science from 1991 to 2015

Wang, Jingjing; Zhao, Xian; Guo, Xiaoxin; Li, Bolong

doi:10.1016/j.rser.2017.09.064

Cited by 38 publications

(17 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The generation system, transmission system and distribution system are interconnected to each other. The generation system is separated into two classes as renewable and traditional electricity generation system [14]. Transmission lines connect power plants and distribution system.…”

Section: Electric Power Distributionmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)

Sayar

Yüksel

2020

Celal Bayar Üniversitesi Fen Bilimleri Dergisi

View full text Add to dashboard Cite

Electricity distribution networks are critical to the delivery of energy and the continuity of the economy. The healthy and efficient operation of these networks depends on the prediction of failures, their early detection and the rapid recovery of the resulting failures. The causes of failure are internal and external factors. Many studies in different sectors that use different techniques for failure prediction in the literature. The use of artificial intelligence techniques, which are becoming increasingly important today, in failure estimates; in terms of estimation success and effectiveness, it brings many privileges compared to other techniques. In this study, a status prediction model has been developed by using artificial neural network (ANN) technique for power outages and healthy working conditions of the electricity distribution network installed in Salihli district of Manisa province. In previous studies, using artificial intelligence techniques in the energy sector generally focused on one component of network, lifetime, energy demand estimation, battery life and goods failures. The effect of meteorological factors has not been studied on the distribution network situation using artificial intelligence techniques. In this study we use hourly power outages and hourly meteorological factors that cause failures or healthy conditions. It is aimed to effective risk management and make anticipation of power outage occurring in electricity transmission network, to make preventive maintenance for failures, to make suggestions for early intervention and shortening downtime and maintenance.

show abstract

Section: Electric Power Distributionmentioning

confidence: 99%

“…Production, transmission and distribution system will work uninterruptedly in all working situations. Therefore, handling three system reliability simultaneously is an important approach to increase overall electric power system reliability [14].…”

Section: Electric Power Distributionmentioning

confidence: 99%

Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)

Sayar

Yüksel

2020

Celal Bayar Üniversitesi Fen Bilimleri Dergisi

View full text Add to dashboard Cite

show abstract

“…Therefore, it is important to ensure that the power demand is met (Zimmerman et al, 2011;Zhai et al, 2018). One of the solutions is to optimally allocate electricity in real time according to the supply and demand within a power grid system (Wang et al, 2018). Frank et al (2016) and Lavaei et al (2012) studied the optimization problems in the electric power systems, known collectively as Optimal Power Flow (OPF).…”

Section: Introductionmentioning

confidence: 99%

Optimal configuration of a power grid system with a dynamic performance sharing mechanism

Yan

Hui

Peng

et al. 2020

Reliability Engineering & System Safety

View full text Add to dashboard Cite

show abstract

“…Most existing maintenance models have been devoted to system reliability or steady-state availability, 10,[28][29][30] and the literature on the instantaneous availability of repairable systems is relatively scarce. In existing works, Sarkar and Sarkar 31 studied the instantaneous availability and steady-state availability for an inspection-based system.…”

Section: Introductionmentioning

confidence: 99%

Availability and maintenance modeling for a two-component system with dependent failures over a finite time horizon

Qiu

Cui

Kong

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

This article studies the availability and optimal maintenance policy for a two-component system with failure interaction over a finite time horizon. Failure of component 1 is soft and can only be detected by inspections. Failure of component 2 is hard and self-announcing. Each hard failure acts as a shock to the first component and increases its hazard rate. Periodic and opportunistic inspections (offered by failures of component 2) are used to reveal the failure of component 1 and followed by replacement decisions. Furthermore, age-based preventive replacement is performed for component 1. Under this maintenance policy, a recursive method is developed to obtain the availability measure of component 1. Furthermore, the total maintenance cost of component 1 over a finite time horizon is analyzed. The objective is to find the optimal maintenance policy for component 1 such that the expected total cost is minimized. A case study on electrical distribution system is provided to validate the effectiveness of the adopted approach.

show abstract

Analyzing the research subjects and hot topics of power system reliability through the Web of Science from 1991 to 2015

Cited by 38 publications

References 72 publications

Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)

Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)

Optimal configuration of a power grid system with a dynamic performance sharing mechanism

Availability and maintenance modeling for a two-component system with dependent failures over a finite time horizon

Contact Info

Product

Resources

About