Generation maintenance scheduling considering transmission constraints

Silva, E.L. da; Schilling, M.T.; Rafael, M.C.

doi:10.1109/59.867182

Cited by 92 publications

(52 citation statements)

References 9 publications

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“…For example, we wish to constrain the LOLP for each week t in the maintenance time frame to fall below the predefined reliability requirements in (8). In principle, LOLP depends on available generation capacity, historical unit outage statistics, load forecasts, etc.…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…In this context, sole reliance on reasonably practicable information relative to facilities and/or specific details on the requirements of the outage request form, excluding economic factors, should be general enough. Through this, preventive maintenance can be performed through effective scheduling based on the security and adequacy assessments of the ISO [8].…”

Section: Introductionmentioning

confidence: 99%

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ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

Han¹,

Chung²,

Kim³

2011

Journal of Electrical Engineering and Technology

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-To ensure that equipment outages do not directly impact the reliability of the ISOcontrolled grid, market participants request permission and receive approval for planned outages from the independent system operator (ISO) in competitive electricity markets. In the face of major generation outages, the ISO will make a critical decision as regards the scheduling of the essential maintenance for myriads of generating units over a fixed planning horizon in accordance with security and adequacy assessments. Mainly, we are concerned with a fundamental framework for ISO's maintenance coordination in order to determine precedence of conflicting outages. Simulated annealing, a powerful, general-purpose optimization methodology suitable for real combinatorial search problems, is used. Generally, the ISO will put forward its best effort to adjust individual generator maintenance schedules according to the time preferences of each power generator (GENCO) by taking advantage of several factors such as installed capacity and relative weightings assigned to the GENCOs. Thus, computer testing on a four-GENCO model is conducted to demonstrate the effectiveness of the proposed method and the applicability of the solution scheme to large-scale maintenance scheduling coordination problems.

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Section: Mathematical Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

Han¹,

Chung²,

Kim³

2011

Journal of Electrical Engineering and Technology

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“…The main target of maintenance scheduling in power system is to strike a balance between system security and maintenance cost [1]. In the traditional vertically integrated power system, maintenance scheduling generally is dispatched by a centralized system operator.…”

Section: Introductionmentioning

confidence: 99%

Composite System Maintenance Coordination in a Smart Grid Considering Demand Response

Golmohamadi

Keypour

Niasati

2016

Technol Econ Smart Grids Sustain Energy

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Maintenance coordination for a composite power system poses great challenges regarding the manner in which renewable resources and distributed generators can be integrated into the modern competitive power electrical system. Recently, integration of intelligent infrastructures including smart meters and 2-way communication systems increases the complexity of maintenance scheduling problem. The present study is conducted in order to coordinate maintenance scheduling, including generation units and transmission lines, in a smart grid in presence of renewable resources as stochastic power producers. Moreover, by using smart communication service, the study discusses various maintenance strategies which can be optimized by proper demand response. Technically, security and congestion problem are two important issues which are considered in this research. In addition, in order to reduce financial loss of not selling energy during maintenance activities, demand response program is discussed in the maintenance coordination program. To make a reasonable decision under uncertainty, two kinds of important uncertainties are considered in this paper as stochastic power production and random line failure. Regarding the mentioned principles, maintenance scheduling for transmission lines and generation units are coordinated through a smart grid. At the end, a 9-bus test power system is used to show the applicability of proposed maintenance coordination approach which

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“…Probabilistic and stochastic methods have been used for handling uncertainties (e.g., [13], [15] etc.). In stochastic programming, state transition across stages is often needed for forming 'scenarios'.…”

Section: A Solution Proceduresmentioning

confidence: 99%

“…Currently, there are two approaches to quantifying maintenance costs: The first one is the 'fictitious' cost approach to penalizing the deviation from the 'ideal' maintenance schedules and the second one is the window approach assuming that maintenance costs are constant over the planning horizon but expensed in certain windows. The window approach is a simple one that has been extensively used (see [9], [13] and [15]). …”

Section: Introductionmentioning

confidence: 99%

A thermal generation unit maintenance scheduling model with probability space reduction

Smardo²

IEEE Power Engineering Society General Meeting, 2004.

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The paper proves that unit preventive maintenance models with maintenance costs alone may only yield feasible solutions in the "window" approach because the approach treats maintenance costs as constant. Consequently, the objective function is only a constant that is a dummy in the problem formulation. It is concluded that operational costs must be included for optimality. This paper therefore proposes a maintenance scheduling model that does away with constant maintenance costs. A probability space reduction technique is also proposed to reduce computation time. A case study shows the successful application of the model.

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Generation maintenance scheduling considering transmission constraints

Cited by 92 publications

References 9 publications

ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

Composite System Maintenance Coordination in a Smart Grid Considering Demand Response

A thermal generation unit maintenance scheduling model with probability space reduction

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