Designing a Stable Integrated Planning Model for Multifaceted Energy Production and Equipment Repairs in the Storage Pump Power Plant in Line with Green Policie

Subject Areas : Economy and sustainable development

Farid Asgari ¹ , Fariborz Jolai ² , Farzad Movahedi Sobhani ³

1 - 1. Ph.D. Candidate, Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - 2. Prof., Department of Industrial Engineering, Science and Research Unit, Islamic Azad University, Tehran, Iran.
3 - Assistant Professor, Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Received: 2024-06-01 Accepted : 2024-10-16 Published : 2024-12-19

Keywords: Production Planning, Maintenance and Repairs, Storage Pump Power Plant, Meta-heuristic Algorithm GA and ICA. ,

Abstract :

Energy production in pumped power plants, reserve strategy, and continuous exploitation of these power plants are some of the successful policies of governments. Therefore, in this research, the minimization of the cost of energy production and maintenance and repairs in one of the large storage pump power plants in Iran in line with green policies has been discussed based on the simulation-optimization strategy. In the introduced MINLP model, optimization of the cost of maintenance and repairs based on the amount of production, operating hours of the power plant, and the deficit level of energy production, taking into account the uncertainty in the demand level of the network, is presented using the feasibility planning method. To solve the mathematical model in small dimensions, the CPLEX exact solution algorithm was solved in GAMS software, and in large sizes, two meta-heuristic algorithms GA and ICA were used with binary coding in MATLAB software. The results of this research have shown that the solution of the meta-heuristic algorithm has been implemented in a suitable period despite the approximation of optimal solutions with a confidence factor of 95%, and the results of the research indicate the applicability of the presented model in the studied power plant.

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