چكيده به لاتين
Multi-carrier energy systems create new challenges as well as opportunities in future energy systems. In any electric energy system, the customers’ objective is to minimize their energy cost, whereas utilities are not only concerned about the cost, but also other issues such as load shape, peak load, quality of service. In this context, a two-tier hierarchical scheme is used in energy hub management system in order to distinguish between the different objectives of the customers and the utility. Therefore, at the lower level, i.e., customer level, the objective is to optimize the energy price from the customer’s point of view, whereas at the LDC level, the objective is to optimize the energy consumption and power loss from the utility’s point of view. This context, presents mathematical optimization models of residential energy hubs which can be readily incorporated into automated decision-making technologies in smart grids, and can be solved efficiently in a real-time frame to optimally control all major residential energy loads, storage and production components while properly considering the customer preferences and comfort level. Novel mathematical models for major household demand, i.e., fridge, freezer, dishwasher, washer and dryer, stove, water heater and pool pumps are formulated.in this context, new approach to energy hubs scheduling is offered, called virtual energy hub. The results show that the virtual energy hub is operated, based on the different energy carriers and facilities as well as maximization its revenue by participation on the various local energy markets.
