| Authors | Mohammadreza Daneshvar, Behnam Mohammadi Ivatloo, Kazem Zare, Amjad Anvari-Moghaddam |
|---|---|
| Conference Title | 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) |
| Holding Date of Conference | 2021-09-07 |
| Event Place | Bari, Italy |
| Presentation | SPEECH |
| Conference Level | International Conferences |
Abstract
Recently, grid modernization efforts are developed to ease the realization of the transition from conventional energy systems to modern integrated energy grids. In this regard, energy hubs have been emerged as an interconnection point among different energy grids and components to enable the collection, conversion, and storage of multi-carrier energies in a deregulated environment. This paper concentrates on the techno-economic examination of hybrid energy systems in the grid modernization process. In this regard, optimal scheduling of energy hubs (EHs) is investigated in a hybrid network with a full share of renewable energies. Each EH is equipped with the wind and solar systems, battery energy storage, power-to-gas system, fuel cell, and hydrogen storage in the interconnected electricity and gas grids. Due to a very large share of renewables, the system is highly exposed to the intermittences of stochastic producers. Hence, uncertainty quantification is carried out using the stochastic programming technique, in which the Latin Hyperbolic Sampling method is selected for scenario production while the fast forward selection appraoch is considered for scenario diminution. The effectiveness of the proposed model is examined in a coupled structure of the IEEE 6-bus electric power system and a 6-node natural gas grid. The results highlight the applicability of the suggested model in providing the sustainable condition for the system in time to time balancing energy in the integrated energy network with 100% renewables.