improving the resilience of a smart microgrid based on energy interactions between smart homes

The development of smart energy microgrids (mgs) and the influence of various types of distributed energy resources (ders) on the demand side have increased the importance of addressing technical issues within mgs. in addition, the expansion of smart homes can improve issues related to the resilience of mgs during a disaster event. therefore, this paper presents an efficient model for the optimal planning of energy management in a smart mg, taking into account the optimal energy interactions between smart homes and aiming to improve the mg’s resilience in a disrupted state, specifically with the integration of smart homes. in the suggested framework, interactions between smart homes and the microgrid operator (mgo) are considered. through this model, the mgo obtains oversight of home energy management (hem) systems, which enables it to improve resilience against mg disruptions. by facilitating energy management and interaction among smart homes, supported by ders, the mgo can effectively bolster system resilience. in the mathematical modeling, smart homes include responsive loads (rls), non-rls, a bath-heating system (bhs), air-conditioning (ac), plug-in hybrid electric vehicles (phevs), energy storage systems (esss), and photovoltaic (pv) systems. simulation analysis shows that operating the hem system effectively, together with interlinked smart home energy exchanges, boosts the resilience of microgrids by 63.59%, using the general algebraic modeling system (gams). the results obtained are promising.