A novel method for maintenance scheduling of generating units considering the demand side

Elyas, Seyyed Hamid; Foroud, Asghar Akbari; Chitsaz, Hamed

doi:10.1016/j.ijepes.2013.02.026

Cited by 16 publications

(25 citation statements)

References 21 publications

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“…In scenario A, there is 19 weeks (1,2,5,(18)(19)(20)(23)(24)(25)(26), and 44-52) without scheduled maintenance outages. The numbers of weeks with no scheduled maintenance outages are equal to 15 (20,(23)(24)(25)30, and 44-52) and 13 (3)(4)(5)21, and 44-52) for scenarios of B and C respectively. The general trend in maintenance schedules obtained from scenario A to scenario C (which is equivalent to more Figure 9.…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…The model schedules the maintenances in order to maximize social welfare, and by considering transmission constraints, the locational impacts of PBDR and generation maintenance outages on overall social welfare are considered. To the best of our knowledge, the only work that has considered the demand side impact on GSM, is reported in [30]. The approach proposed in [30] is an iterative coordination mechanism in which a four-step procedure is considered.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of our knowledge, the only work that has considered the demand side impact on GSM, is reported in [30]. The approach proposed in [30] is an iterative coordination mechanism in which a four-step procedure is considered. In the first step, by using weekly electricity prices that are declared by the ISO, interest rates of GenCos to different maintenance periods are evaluated.…”

Section: Introductionmentioning

confidence: 99%

“…The main advantages of our model (as a centralized coordination mechanism) in comparison with that introduced in [30] (as an iterative coordination mechanism) are as follows:…”

Section: Introductionmentioning

confidence: 99%

“…• The objective function of GMS problem in [30] consists of three parts: maintenance bids, social welfare, and adequacy index. This way, GenCo preferences in maintenance schedules are taken into account twice; once in maintenance bids and the other in social welfare.…”

mentioning

confidence: 99%

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Transmission-constrained generation maintenance scheduling considering market-based demand response

Marini

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2016

Int. Trans. Electr. Energ. Syst.

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SUMMARYIntroduction of smart grid has changed different paradigms in power industry. System-wide demand participation in power system operational planning is one of such influenced paradigms. To comply with these influenced paradigms, generation maintenance scheduling (GMS), as one of the operation planning processes, should be modified to adapt to the new changes. This paper proposes a new model to consider demand response (DR) in the GMS problem. The proposed GMS problem is modelled as a mixed integer linear programming problem and solved for the two known test cases, namely IEEE reliability test system and IEEE 118-bus test system. The results show that considering DR leads to more dispersed and uniformed generation unit maintenance schedules and lower overall system operation cost in comparison with the case in which DR is not considered.

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Section: Sensitivity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The main advantages of our model (as a centralized coordination mechanism) in comparison with that introduced in [30] (as an iterative coordination mechanism) are as follows:…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Transmission-constrained generation maintenance scheduling considering market-based demand response

Marini

Latify

2016

Int. Trans. Electr. Energ. Syst.

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Optimal maintenance scheduling of a gas engine power plant using generalized disjunctive programming

et al. 2014

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This article presents a new continuous-time model for long-term scheduling of a gas engine power plant with parallel units. Gas engines are shutdown according to a regular maintenance plan that limits the number of hours spent online. To minimize salary expenditure with skilled labor, a single maintenance team (shared by the gas engines) is considered which is unavailable during certain periods of time. Other challenging constraints involve constant minimum and variable maximum power demands. The objective is to maximize the revenue from electricity sales assuming seasonal variations in electricity pricing, by reducing idle times and shutdowns in high tariff periods. By first * Corresponding author. Tel.: +351-210924643. E-mail: pedro.castro@lneg.pt 2 developing a generalized disjunctive programming model and then applying both big-M and hull reformulation techniques, we reduce the burden of finding the appropriate set of mixed-integer linear constraints. We then show through the solution of a real life problem that the most efficient model involves a big-M reformulation of the set of disjunctive constraints, while gaining valuable insights about the system.

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A bilevel model for maintenance scheduling of power units including wind farms

et al. 2019

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A novel method for maintenance scheduling of generating units considering the demand side

Cited by 16 publications

References 21 publications

Transmission-constrained generation maintenance scheduling considering market-based demand response

Transmission-constrained generation maintenance scheduling considering market-based demand response

Optimal maintenance scheduling of a gas engine power plant using generalized disjunctive programming

A bilevel model for maintenance scheduling of power units including wind farms

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