چكيده لاتين
Integrated energy systems, as a new approach to managing and utilizing energy resources, have attracted the attention of many researchers due to their numerous capabilities in improving efficiency, reducing costs, and increasing flexibility. In the meantime, the development of optimization models for planning multi-energy hubs, which include combining energy production, storage, and consumption resources, is of particular importance. The main objective of this research is to investigate the optimal stochastic planning of multi-energy hubs in the presence of hydrogen storage devices along with an integrated demand response program. The method of this research is carried out with the help of precise mathematical modeling of equipment, network technical constraints, and energy hub loads. First, in order to familiarize ourselves with the literature on the subject of integrated energy systems, past articles in this field are collected and briefly studied. In the next step, the mathematical model of the problem, including computational tools, objective functions, equality and inequality constraints related to the energy hub, along with the exact model of loads, generation equipment, cogeneration source, renewable sources, and electric vehicles, is studied, and then the problem is coded in the GAMS and MATLAB software environments according to the linearity or nonlinearity of each of the two-level optimization levels. The results of the simulations indicate the positive effect of using hydrogen storage in reducing costs and increasing system flexibility. Also, demand response programs have been particularly effective in reducing electrical and thermal load fluctuations and have reduced operating costs and risk costs. The use of renewable energies such as wind turbines and solar panels has also played an important role in reducing costs and greenhouse gas emissions. The analyses obtained from this research can help improve energy management strategies and the optimal use of resources in multi-energy systems. Also, this research showed that in todayʹs world, the use of modern technologies in energy storage and demand response can significantly help reduce costs and increase the efficiency of energy systems.
