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The peer-to-peer (P2P) energy management in the buildings is modeled and studied by this paper. In the proposed P2P home energy management, the buildings share their energy resources with each other to supply their demands. Three individual buildings are considered, two buildings are equipped with solar panels and the other building is equipped with hydrogen storage unit. The buildings are connected to each other by power lines for P2P operation. The uncertainty of loads and solar energy are incorporated and the model minimizes the cost of solar unit, power lines, fuel-cell, electrolyzer, and storage tank. The optimization problem finds optimal power of solar system, power lines, fuel-cell, electrolyzer; optimal capacity of hydrogen storage tank; and optimal operation pattern (charging-discharging regime) of hydrogen storage system. The results demonstrate that P2P operation helps the buildings to benefit from their energy resources. • Peer-to-peer home energy management is presented to minimize the costs. • Buildings are equipped with solar units and hydrogen storage system. • Buildings share their energy resources with each other as peer-to-peer operation. • Uncertainty of load and solar energy is handled by stochastic programming. • Optimal sizing and operation are found for hydrogen storage and solar systems. [ABSTRACT FROM AUTHOR]

This paper brings together the benefits of hydrogen and battery storage devices in the electrical network integrated with solar energy. The introduced hybrid storage system is utilized to achieve two purposes including uncertainty leveling and energy arbitrage. The volatility of solar energy and electrical-thermal loads is developed by Normal distribution. The hydrogen storage system is designed to smooth such uncertainty and storing the electrical energy in hydrogen form. Therefore, the hydrogen storage levels the uncertainties associated with solar power and loads. The battery is utilized to shift energy from pricey hours to the inexpensive time intervals and minimizing energy cost in network. The optimization programming finds optimal setting and charging-discharging pattern for both storage technologies. The seasonal profile is considered for electrical-thermal loads and solar energy. It is verified that the given hybrid storage scheme saves the cost by 117000 $/year and the solar system decreases the cost by 28%. • Network is integrated with solar panels and hybrid hydrogen-battery storage. • Solar power and loads are modeled by probability distribution function. • Battery storage shifts energy over day hours to minimize energy cost. • Hydrogen storage levels the uncertainties of solar power and loads. • Optimal setting for hydrogen and battery storages are determined. [ABSTRACT FROM AUTHOR]

The home energy management is an efficient tool to manage energy in the buildings that organizes different technologies and mathematical techniques to minimize energy cost. Home energy management often utilizes renewable energy resources to supply load demand in the building. Current home energy management systems utilize one or several of the available hardware-software capacity resources to deal with energy consumption in the buildings. However, a comprehensive model including various hardware and software capacity resources may increase the flexibility of the model. In this regard, this paper studies an efficient paradigm for home energy management in the building connected to electric grid. The proposed model forms an energy hub including the hardware resources (i.e., vehicle-to-home, wind turbine, and diesel generator) and software tools (i.e., demand response program). All the capacity resources and grid power are optimally adjusted to minimize the daily operational cost of the building as well as improvement of resiliency and self-healing. Wind energy and load uncertainty are modeled through stochastic programming. The seasonal pattern is considered for loads, prices, and wind energy. Simulation results demonstrate that operating all capacity resources minimizes the daily operational cost. When the wind energy, demand response program, vehicle-to-home, and diesel generator are not utilized, the cost is increased by 900, 230, 84, and 322%, respectively. It is also confirmed that the building not only can operate when one of the components is not connected, but also it is able to supply the demand under off-grid operation. • Home energy management is modeled on building connected to grid. • Building is supported by hardware and software capacity resources. • Demand response program, diesel generator, and vehicle-to-home are operated. • Wind and load uncertainty are incorporated by stochastic programming. • Resiliency and self-healing are studied following failures and events. [ABSTRACT FROM AUTHOR]