A reliability test system for educational purposes-basic data

Billinton, R.; Kumar, Sudhir; Chowdhury, N.; Chu, K.; Debnath, K.; Goel, L.; Khan, Easin E; Kos, P.; Nourbakhsh, Ghavameddin; Oteng-Adjei, J.

doi:10.1109/59.32623

Cited by 597 publications

(196 citation statements)

References 5 publications

Supporting

Mentioning

195

Contrasting

Order By: Relevance

“…The average load of this EDN is 10.72 MW. The electrical data, reliability parameters and the network structure are given in [13][14][15]. The following cases are studied: For all the cases above, the equipment planned outage time equals the fault repair time, both are 6 hr, fault location time is 0.5 hr, fault isolation time is 0.5 hr, power transfer time is 0.5 hr, and switching operation time for planned outages is 0.1hr.…”

Section: Case Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Reliability Evaluation Technique for Electrical Distribution Networks Considering Planned Outages

Hu¹,

He²,

Cao³

2014

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-The reliability evaluation of the electrical distribution networks (EDN) requires sufficient consideration of the effects of planned outages. The planned outages of the EDN can be divided, by outage models and their effects on the reliability into two major categories: by equipment and by feeder. After studying the characteristics of different categories of planned outages, this paper expands the classification of load points by outage time from 4 types to 7 types and defines corresponding reliability parameters for the different types. By using the section algorithm, this paper proposes a reliability evaluation technique of EDN considering equipment random failures and two categories of planned outages. The proposed technique has been applied to the RBTS-BUS6 test system and some practical EDNs in China. The study results demonstrate that the proposed technique is of higher practical value and can be used for evaluating the reliability performance of EDN more efficiently considering the planned outages.

show abstract

Section: Case Studiesmentioning

confidence: 99%

“…The test system is designed as RBTS-BUS6 developed at the University of Saskatchewan [13][14][15] and a large number of practical EDN have been studied.…”

Section: Case Studiesmentioning

confidence: 99%

Reliability Evaluation Technique for Electrical Distribution Networks Considering Planned Outages

Hu¹,

He²,

Cao³

2014

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

show abstract

“…As with the power grid test bed, there are no associated infrastructures or economies; therefore, it is difficult to create infrastructure-impact scenarios that can be used to map power system impacts to infrastructure and economic consequences. Rules-of-thumb for the costs of outages to customers can be developed (see, for example, [16]) but these rules are not specific to any particular scenario and include only direct economic impacts.…”

Section: Use Of Unrealistic Power Gridsmentioning

confidence: 99%

“…For example, heuristics about the cost of electricity outages could be used to automatically assign economic consequences to outages based on the lengths of the outages (see [16]). …”

Section: Consequence Analysismentioning

confidence: 99%

Cyber and physical infrastructure interdependencies.

Phillips¹,

Kelic²,

Warren³

2008

View full text Add to dashboard Cite

The goal of the work discussed in this document is to understand the risk to the nation of cyber attacks on critical infrastructures. The large body of research results on cyber attacks against physical infrastructure vulnerabilities has not resulted in clear understanding of the cascading effects a cyber-caused disruption can have on critical national infrastructures and the ability of these affected infrastructures to deliver services. This document discusses current research and methodologies aimed at assessing the translation of a cyber-based effect into a physical disruption of infrastructure and thence into quantification of the economic consequences of the resultant disruption and damage. The document discusses the deficiencies of the existing methods in correlating cyber attacks with physical consequences. The document then outlines a research plan to correct those deficiencies. When completed, the research plan will result in a fully supported methodology to quantify the economic consequences of events that begin with cyber effects, cascade into other physical infrastructure impacts, and result in degradation of the critical infrastructure's ability to deliver services and products.This methodology enables quantification of the risks to national critical infrastructure of cyber threats. The work addresses the electric power sector as an example of how the methodology can be applied. Cyber and Physical Infrastructure Interdependencies 4This page intentionally left blank. Cyber and Physical Infrastructure Interdependencies 5

show abstract

“…The appearance of previously generated system states can be controlled and reduced. GA has emerged as a powerful search tool used for search and optimization [8][9][10][11][12][13][14]. Ref.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Electrical Power Generation Modeling Using Genetic Algorithm

Alabdulwahab¹

2010

IJCA

View full text Add to dashboard Cite

Generation system reliability assessment is an important task which can be performed using deterministic or probabilistic techniques. The probabilistic approaches have significant advantages over the deterministic methods. However, more complicated modeling is required by the probabilistic approaches. Power generation model is a basic requirement for this assessment. One form of the generation models is the well known capacity outage probability table (COPT). Different analytical techniques have been used to construct the COPT. These approaches require considerable mathematical modeling of the generating units. The units" models are combined to build the COPT which will add more burdens on the process of creating the COPT. This paper proposes the utilization of the Genetic Algorithm (GA) to sample the states of the COPT without engaging in analytical units modeling. The simple binary representation, "0" and "1" is used to model the states of generating units. The effect of the GA parameters is examined. The proposed technique is proven to be an effective approach to build the generation model. The proposed technique is applied to the RBTS. General TermsModeling, Genetic algorithm application.

show abstract

A reliability test system for educational purposes-basic data

Cited by 597 publications

References 5 publications

Reliability Evaluation Technique for Electrical Distribution Networks Considering Planned Outages

Reliability Evaluation Technique for Electrical Distribution Networks Considering Planned Outages

Cyber and physical infrastructure interdependencies.

Probabilistic Electrical Power Generation Modeling Using Genetic Algorithm

Contact Info

Product

Resources

About