A reliability test system for educational purposes-basic results

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

doi:10.1109/59.49123

Cited by 45 publications

(24 citation statements)

References 4 publications

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“…7. The transition rates in Markov models of breakers, transformers and generators are tuned according to the reliability parameters given in [10]. The capital cost is calculated based on the typical data about number of breakers, transformers, unit size of generators and other system equipment.…”

Section: Assumptions and Parameter Settingsmentioning

confidence: 99%

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Optimisation of maintenance schedules and extents for composite power systems using multi-objective evolutionary algorithm

Yang

Chang

2009

IET Generation, Transmission &Amp; Distribution

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Reducing the overall cost and improving the reliability are the two primary but often conflicting objectives in power system. Preventive-maintenance schedules thus need to be optimised to trade-off among multiple objectives. An integrated methodology with three functional blocks is proposed in this study. The first block models the stochastic deterioration process of individual component with a continuous-time Markov model, of which transition rates are influenced by different maintenance extents and aging of components. The second block evaluates the reliability of a composite power system, taking into account the configuration and failure dependence of the system. Particularly, this block identifies the minimum cut sets with consideration of protection trip and operational switching. The third block employs the Pareto-based multiobjective evolutionary algorithm to find the optimal solutions in a large search space and provide a holistic view of relationships among conflicting multiple objectives. A novel representation of maintenance activities is introduced in this study specifying both the maintenance timings and extents, and is proven to outperform the authors' previous representation, specifying the maintenance frequencies only. Optimisation of the reliability, maintenance failure costs is carried out on the Roy Billinton Test System (RBTS) demonstrating the potential of this approach in handling complex systems. Nomenclature RBTSRoy Billiton Test System MTTF mean time to failure MTTR mean time to repair EUE expected unserved energy C o,a operation cost for component a C ins cost of inspection of component a T min,s times of minor maintenance in state s for one component T maj,s times of major maintenance in state s for one component C min,s average cost of minor maintenance for component a in state s C maj,s average cost of major maintenance for component a in state sC f,a expected failure cost of component a p i,f failure probability in interval i C avef,a average cost of failure for component a l cs and m cs failure rate and duration of one cut set l A , l B , l C and l D failure rate of events A, B, C and D r A , r B , r C and r D duration of events A, B, C, and D U cs annual duration of one cut set l top and U top failure rate and annual duration of top event in one interval n number of minimum cut sets leading to the top event C sysO overall operation cost C sysF expected failure cost of system 930

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Section: Assumptions and Parameter Settingsmentioning

confidence: 99%

“…The Roy Billinton Test System (RBTS) [10] is studied because of its more realistic and complex features than the four basic substation configurations in [9].…”

Section: Introductionmentioning

confidence: 99%

Optimisation of maintenance schedules and extents for composite power systems using multi-objective evolutionary algorithm

Yang

Chang

2009

IET Generation, Transmission &Amp; Distribution

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“…This procedure should be implemented and investigated on standard electrical test systems, which access to their customers' data is easily possible. Until now, many test systems have been developed [13][14][15][16][17], where the latest revision of them is named Roy Billinton test system (RBTS) [15][16][17]. The aim of the RBTS is to investigate reliability issues in electrical systems and cannot be directly used for evaluation of customer interruption costs (ECIC).…”

Section: Introductionmentioning

confidence: 99%

Developing a new distribution test system to estimate customer outage costs using accurate and approximate procedures

Djavid

Jalilian

2010

Energy

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“…These are the Roy Billinton Test System (RBTS) and the IEEE Reliability Test System (IEEE-RTS). The RBTS, displayed in Figure 2, consists of 11 conventional generating units with 240 MW total capacities [11,17]. The IEEE-RTS, shown in Figure 3, is a much larger system and is composed of 32 conventional generating units, with a total generating capacity of 3405 MW.…”

Section: Test Systemsmentioning

confidence: 99%

Quantitative risk associated with intermittent wind generation

Shaaban¹,

Usman²

2016

Turk J Elec Eng & Comp Sci

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Abstract:Wind energy is a propitious alternative to fossil-fuel generation due to its benign environmental footprint and sustainability. However, the intermittent nature of wind turbine output may scale up the risk of not meeting current or future load demand. A quantitative risk measure associated with introducing wind turbines into the generation fleet is investigated in this paper. Due to the randomness of the wind speed profile, a common wind speed model employing a multistate wind generation pattern, representing various production levels, was adopted, as opposed to conventional generator models, which are suitably represented with a two-state model. Using a hybrid method that combines the analytical technique with Monte Carlo simulation, risk measures such as loss of load probability were evaluated and applied to the RBTS and IEEE-RTS test systems. The expected demand not supplied, due to contemplated uncertainties, was further quantified. Test results show that the capacity credit of wind turbine generators could vary widely depending on system size and configuration. Furthermore, the use of an 11-state wind representation model along with the normal distribution of wind speed produces very close results compared with the Weibull distribution of wind speed.

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A reliability test system for educational purposes-basic results

Cited by 45 publications

References 4 publications

Optimisation of maintenance schedules and extents for composite power systems using multi-objective evolutionary algorithm

Optimisation of maintenance schedules and extents for composite power systems using multi-objective evolutionary algorithm

Developing a new distribution test system to estimate customer outage costs using accurate and approximate procedures

Quantitative risk associated with intermittent wind generation

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