Preventive maintenance scheduling of multi energy microgrid to enhance the resiliency of system
| Autor: | Mehrdad Tarafdar Hagh, Saeid Ghassem Zadeh, Milad Zamani Gargari |
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| Rok vydání: | 2021 |
| Předmět: |
Sustainable development
Schedule Computer science business.industry Emerging technologies 020209 energy Mechanical Engineering Scheduling (production processes) 02 engineering and technology Building and Construction Pollution Preventive maintenance Industrial and Manufacturing Engineering General Energy 020401 chemical engineering Risk analysis (engineering) 0202 electrical engineering electronic engineering information engineering Electricity Energy supply Microgrid 0204 chemical engineering Electrical and Electronic Engineering business Civil and Structural Engineering |
| Zdroj: | Energy. 221:119782 |
| ISSN: | 0360-5442 |
| Popis: | Recently, the application of multi-energy infrastructure has been widespread since the emergence of new technologies in this field. Accordingly, modeling and providing energy supply for consumers at an acceptable level of security is vital. It is also important for sustainable development in all directions to develop and support resources and infrastructures against natural disasters. In this study, the preventive maintenance scheduling of multi-energy microgrid is introduced to enhance the resiliency of system in unpredictable circumstances. The proposed formulation intends to make the best use of the profitable levels of freedom related to the maintenance and operational variables by considering the feasible operating region of components. By the use of sequential approach the near-optimal solutions in operation and maintenance schedule is obtained to meet the resiliency requirement. The exact model of electricity and natural gas is adopted to validate the simulation results. Three different cases is examined to prove the effectiveness of the proposed approach in standard multi-energy microgrid. According to the results, the utilization of the proposed method improves the resiliency of system in critical conditions. |
| Databáze: | OpenAIRE |
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