A holistic analysis of distribution system reliability assessment methods with conventional and renewable energy sources

Khan, Baseem; Alhelou, Hassan Haes; Mebrahtu, Fsaha

doi:10.3934/energy.2019.4.413

Cited by 48 publications

(9 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So, we can say that proper Copyright © 2022 MECS I.J. Engineering and Manufacturing, 2022, 2, 11-24 locating, proper size DG plays a vital role in DSR [18][19][20][21][22]. Latin Hypercube sampling (LHS) and MC sequential simulation method is used for reliability evaluation of DS with DG.…”

Section: Related Workmentioning

confidence: 99%

Reliability Analysis Techniques in Distribution System: A Comprehensive Review

Kafle¹,

Bhandari²,

Rana³

2022

IJEM

View full text Add to dashboard Cite

Quality of electricity with continuity is the reliability of the power system which is inversely proportional with the duration of power supply interruption. It depends on some expected or unexpected faults/failures on the systems, speed of protecting systems, preventive maintenance, and motivation of technical staffs. The detailed study of the distribution system is more crucial as its reliability is the concern of utility's fame, service, customers' satisfactions and reflects to the overall revenue. The relevant articles from the various sources has been collected and analyzed different reliability indices with their significance. Also, to realize the methodology related with reliability analysis, a comparative study among its different components has been carried out and the best techniques for maintaining system reliability are suggested.

show abstract

Section: Related Workmentioning

confidence: 99%

Reliability Analysis Techniques in Distribution System: A Comprehensive Review

Kafle¹,

Bhandari²,

Rana³

2022

IJEM

View full text Add to dashboard Cite

show abstract

“…Overall, one of the main purposes of evaluating the reliability indices in distribution power grids is to model any possible conditions for the occurrence of interruptions or errors in the system and to calculate the effect of reliability in any possible conditions. This process can be done through different approaches [10][11][12][13]. Considerable studies have been done in this area, for example, in the reference [14] an analytical technique according to the network assumptions and considering the statistical distribution of failure rate and repair time has been presented.…”

Section: A Backgroundmentioning

confidence: 99%

Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study

et al. 2021

View full text Add to dashboard Cite

Automation in power distribution systems and supervisory control and data acquisition (SCADA), which perform network switching automatically and remotely, allows distribution companies to flexibly control distribution power grids. Cross-section switches also has a significant role in the automation in distribution systems, in that the operational optimization of these switches is able to enhance the supply power quality and reliability indicators, and can be a prosperous solution to increase the reliability, efficiency and overall service quality in services to customers. In this regard, in this work, the genetic optimization algorithm (GOA) approach which integrated the Steepest Descend Technique (SDT) is proposed and enhanced based on the features of the mentioned issue to sketch the optimal location and control of automatic and manual cross-section switches and protection relay systems in distribution power systems. The GOA is able to search globally that can prevent the result from locally convergence, also, GOA gives superior primary solutions for the SDT. Thus, the SDT can search locally with higher performance which increase the solutions' accuracy. Therefore, an optimization formulation is proposed to improve the value-based reliability of the suggested layout considering the cost of customer downtime and the costs related to segmentation of switches and relay protection devices. Also, a distributed generation (DG) system in distribution networks is considered based on the islanded state of generation units. The effectiveness of the optimal suggested procedure is evaluated and represented via performing a practical test system in the distribution network of Ahvaz city in Iran. The results show that using proposed method and by optimally allocating switches maneuver, energy losses without switches are reduced from 310.17 (MWh) to 254.2 (MWh), and also by using DG, losses are reduced from 554.01 to 533.61 which confirms the ability and higher accuracy of the proposed method to improve reliability indices.

show abstract

“…The MATLAB output display the MAPE according the forecasted result based on the following equation [46][47][48]:…”

Section: Mean Absolute Percentage Error (Mape)mentioning

confidence: 99%

Short Term Load Forecasting of Distribution Feeder Using Artificial Neural Network Technique

Chane¹,

Gebru²,

Khan³

2021

J. Infor. Electr. Electron. Eng.

Self Cite

View full text Add to dashboard Cite

This paper explains the load forecasting technique for prediction of electrical load at Hawassa city. In a deregulated market it is much need for a generating company to know about the market load demand for generating near to accurate power. If the generation is not sufficient to fulfill the demand, there would be problem of irregular supply and in case of excess generation the generating company will have to bear the loss. Neural network techniques have been recently suggested for short-term load forecasting by a large number of researchers. Several models were developed and tested on the real load data of a Finnish electric utility at Hawassa city. The authors carried out short-term load forecasting for Hawassa city using ANN (Artificial Neural Network) technique ANN was implemented on MATLAB and ETAP. Hourly load means the hourly power consumption in Hawassa city. Error was calculated as MAPE (Mean Absolute Percentage Error) and with error of about 1.5296% this paper was successfully carried out. This paper can be implemented by any intensive power consuming town for predicting the future load and would prove to be very useful tool while sanctioning the load.

show abstract

A holistic analysis of distribution system reliability assessment methods with conventional and renewable energy sources

Cited by 48 publications

References 49 publications

Reliability Analysis Techniques in Distribution System: A Comprehensive Review

Reliability Analysis Techniques in Distribution System: A Comprehensive Review

Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study

Short Term Load Forecasting of Distribution Feeder Using Artificial Neural Network Technique

Contact Info

Product

Resources

About