Techno-Economic Analysis of Hybrid Energy Systems with 100% Renewables in the Grid Modernization Process

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.

Risk-Aware Stochastic Scheduling of Hybrid Integrated Energy Systems With 100% Renewables

“…On the other hand, the hybrid energy network with full exploitation of RESs faces substantial uncertain changes in the energy generation sector that makes the reliable and affordable operation of the grid at great risk. As a techno-economic analysis of hybrid energy systems with 100% renewables is assessed in [22] for the optimal scheduling of EHs, it cannot effectively address the challenge of stochastic changes associated with huge RESs uncertainties due to the lack of developing a comprehensive model and applying a capable method for the risk-aware evaluation. Indeed, the risk-aware assessment of hybrid networks is necessary for properly tackling stochastic volatilities of uncertain parameters for realistic modeling of the grid while enabling decision-makers to adopt risk-based strategies considering the favorable and undesirable fluctuations of RESs.…”

“…, , 19) and ( 20) are for establishing active and reactive power balance. Constraint (21) denotes the permissible bound for the complex power while constraints (22) and ( 23) keep the voltage and its phase angle in the allowable range.…”