Spinning reserve contribution using unit responsibility criterion incorporating preventive maintenance scheduling

Mollahassani-pour, Mojgan; Rashidinejad, Masoud; Abdollahi, Amir

doi:10.1016/j.ijepes.2015.05.016

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…Alhamad and Alhajri [24] addressed the problem of electricity and distiller plants with production using zero-one integer programming. Mollahassani-pour et al [40] focused on minimizing total operating and maintenance expenses for a power system using mixed integer programming. Ghaffarpour et al [41] conducted a study of the water and power plant using mixed integer linear programming in order to minimize the total costs in addition to increasing the reliability subject to the maintenance constraints and the operating area.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Integer Programming for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants with Production

2022

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Preventive maintenance (PM) is a maintenance program with activities created at a determined interval or according to certain principles, designed to reduce the likelihood of failure or deterioration of item performance. This aims to improve overall reliability and system availability. In this research, a preventive maintenance schedule (PMS) was designed for electricity and desalination of water in power plants, subject to meeting relevant constraints. The proposed methodology is used to generate a PMS for the boilers, turbines, and distillers. A nonlinear integer programming (NLIP) model was employed to address this problem. The results of the proposed method were compared with the PMS for a power station in Kuwait. The results were better in terms of the volume of production and in terms of the gap between the available production and demand in order to continue providing consumers with electricity and water without a shortage in the event of a breakdown in equipment. It produces an improvement of 12.12% and 16.58% respectively, for water and electricity. Furthermore, the sensitivity and robustness of the proposed method were analysed by increasing the maintenance duration for some equipment, increasing the demand, and adding various additional conditions. In addition, a comparison of additional conditions with a binary problem method in terms of computer time for the search for an optimal solution was carried out, where the model provided an optimal solution in a reasonable time. Among the most important benefits that the user can obtain for this technique are extending the life of the equipment, increasing efficiency, and reducing expenses.

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Section: Introductionmentioning

confidence: 99%

Nonlinear Integer Programming for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants with Production

2022

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“…A new non‐linear model for cascaded hydro‐power generation and preventive maintenance scheduling is proposed by Guedes et al [15], considering the water flow balance. The authors of [16] have utilised a mixed‐integer program for system reserve evaluation based on unit responsibility criteria. The mmpact of the cost reduction index on the maintenance scheduling has been investigated in a cost‐based approach, introduced by authors of [17].…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective optimisation of generation maintenance scheduling in restructured power systems based on global criterion method

et al. 2019

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Generation maintenance scheduling (GMS) is one of the most important scheduling problems in the restructured power systems. The maintenance time interval of generation units is the crucial factor of GMS for an operation lifespan of generation units, particularly within the smart grid which needs high reliability. Accordingly, this study proposes a multi-objective-GMS (MO-GMS) optimisation model for maintenance scheduling of generation units based on the global criterion approach, adopting a suitable compromise function. The proposed MO-GMS model determines the maintenance intervals, aims to maximise both the generation company's (GenCo's) financial returns from selling electricity and the system reserve at every time interval from the independent system operator (ISO) standpoint. This method searches the optimal maintenance weeks for each generation unit, considering the objectives of both GenCo and ISO, simultaneously. The proposed MO-GMS model is formulated as a mixed-integer non-linear programming problem and examined on the IEEE 24-bus and IEEE 118-bus test systems. The success of the proposed multi-objective model is validated by comparing the obtained results with intelligent optimisation algorithms. Nomenclature Sets W total number of weeks in a year G total number of generation units H w total hours of a week Indices w index of weeks g index of generation units Variables and parameters OF SR objective function of system reserve OF GU objective function of generation units R w system reserve in week w r g, w system reserve of gth generation unit in week w L w predicted load of week w δ g, w binary indicator of unit g in week w p g max capacity of unit g (MW) p g, w generated power of unit g in week w (MW) π g, w total annualised revenue of unit g in week w ($) F g, w (p g, w) generation cost of unit g in week w ($/h) MC g maintenance cost of generation unit g ($) EP w energy price in week w ($/MWh) FC g M fixed maintenance cost of generation unit g ($/kW/ year) VC g M variable maintenance cost of generation unit g ($/ MWh) m g, w power of generation unit g in week w in maintenance period (MW) M w total power of generation units in maintenance period in week w (MW) D g maintenance duration of generation unit g I g, w on/off state of unit g in week w MO objective of multi-objective optimisation 204

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Smart grids and building energy flexibility

Dorahaki¹,

Mollahassani-pour²,

Mobasheri³

et al. 2023

Building Energy Flexibility and Demand Management

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Spinning reserve contribution using unit responsibility criterion incorporating preventive maintenance scheduling

Cited by 8 publications

References 29 publications

Nonlinear Integer Programming for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants with Production

Nonlinear Integer Programming for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants with Production

Multi‐objective optimisation of generation maintenance scheduling in restructured power systems based on global criterion method

Smart grids and building energy flexibility

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