Under the pressure of climate change, the demands for alternative green hydrogen (H2) production methods have been on the rise to conform to the global trend of transition to a H2 society. This paper proposes a multi-renewable-to-hydrogen production method to enhance the green H2 production efficiency for renewable-dominated hydrogen fueling stations (HFSs). In this method, the aqueous electrolysis of native biomass can be powered by wind and solar generations based on electrochemical effects, and both electrolysis current and temperature are taken into account for facilitating on-site H2 production and reducing the electricity consumption. Moreover, a capsule network (CN)-based H2 demand forecasting model is formulated to estimate the gas load for HFS by extracting the underlying spatial features and temporal dependencies of traffic flows in the transportation network. Furthermore, a hierarchical coordinated control strategy is developed to suppress high fluctuations in electrolysis current caused by volatility of wind and solar outputs based on model predictive control (MPC) framework. Comparative studies validate the superior performance of the proposed methodology over the power-to-gas (P2G) scheme on electrolysis efficiency and economic benefits.

The Russian power system is diversified regionally and consists of one Unified Power System (UPS) and multiple isolated power systems. In the Russian Federation the policy on the use of renewable energies has been one of the most debated topics in recent years. In 2010, the Russian Renewable Energy Program was launched which aims to generate 4.5% of the entire electricity demand from renewable energy sources by 2020. These energy resources can significantly contribute to both the reduction of electricity generation costs in the Isolated Power Systems (IPS) and to the creation of new job opportunities. In this study an innovative methodology for the planning of isolated power systems is presented. The methodology is based on the Analytic Hierarchy Process (AHP) and on the software program HOMER Energy (R). It considers the economic, social and environmental criteria for the optimal planning of isolated systems. A case study related to a small Siberian isolated power system is analyzed

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⎯The creation of an energy metasystem that combines electrical, heat, cooling, and gas supply systems on an intellectual framework is a manifestation of a new energy paradigm. Integrated intelligent power supply systems combine complexity, intelligence, efficiency, reliability, controllability, flexibility of energy conversion, transmission, storage technologies and assume an active consumer.