Improvement of Gencos' maintenance schedule in a deregulated power system

Tabari, N.M.; Mahmoudi, Sanaz; Hasanpour, Sara; Hassanpou, S.B.; Pirmoradian, Mahdi

doi:10.1109/icpst.2004.1460281

Cited by 4 publications

(2 citation statements)

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“…The proposed model explicitly recognises the costs and the potential benefits associated with maintenance outage, considering the influence of the energy market and energy contracts. Paper [13] solves the producer's UMS problem by minimising the loss of revenue during the whole scheduling period, that is, maximising the expected profit of selling electricity in a competitive environment. In [14], the authors analyse the behaviours of different producers and propose a game-theoretic framework for the UMS problem.…”

Section: Nomenclaturementioning

confidence: 99%

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Optimal maintenance scheduling of power producers considering unexpected unit failure

Feng

Wang

2009

IET Generation, Transmission &Amp; Distribution

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A novel unit maintenance scheduling (UMS) problem formulation for a generation producer is presented, to maximise its benefit while thoroughly considering the risk associated with unexpected unit failures. First, the unit failure is characterised by a more practical bathtub-shaped failure behaviour from the modified superposed power law process. Its parameters are estimated from the historical data by solving a nonlinear least-squaresfitting problem via Gauss -Newton iteration method. On the basis of the unit failure analysis, the new UMS formulation is solved by a combination of linear programming and genetic algorithms (GAs), and its impact on the producer's benefit is analysed in detail, including expected profit of selling energy, expected renewal cost of damaged components and maintenance cost. Compared with the current models, the proposed UMS model takes into consideration the influences of market factors as well as unexpected unit failures to strike the right balance between profits and costs related with potential unit failures. Numerical examples on a four-unit producer are utilised to demonstrate the effectiveness of the proposed scheme. NomenclatureThe main mathematical symbols used in this paper are classified as follows:maintenance cost at period t E Profit (t) expected energy-selling profit at period t E Renewal (t) expected renewal cost at period t h( j, t, x j ) failure rate of unit j at period t p m (t) probability of unit operating state m at period t P m ( j, t) generation of unit j in unit operating state m at period t

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Section: Nomenclaturementioning

confidence: 99%

“…In general, each generation producer intends to optimise its maintenance scheduling to minimise the operation cost [10,11], or maximise its profit [12][13][14][15][16] in the restructured power systems, considering maintenance cost, start-up cost, shut down cost, production cost and energy price.…”

Section: Nomenclaturementioning

confidence: 99%