Planning of Multiple Energy Hubs and Scheduling of Preventive Maintenance Equipment Under Uncertainty and Energy Storage

Nowadays, the lack of energy regarding increasing population growth and increasing consumption to meet industries' needs is one of the major problems worldwide, especially in developing countries. This paper attempts to model multiple energy hubs to promptly meet customers' needs and prevent shortages and pay extra costs during peak periods by storing energy in regular periods. The system has several energy hubs with different equipment that will be used according to the customers' needs. Various maintenance policies have been defined to achieve the optimum conditions based on cost and capacity available by solving the model to increase the quality of service and the equipment's high efficiency. Due to uncertainties in customer demand and different maintenance policies, two-staged stochastic optimization has been used based on the scenario. Model solution results show that concerning the defined costs, each hub's interior equipment has better performance with a six-month maintenance policy and the hub input equipment has better performance with a monthly maintenance policy.