Day‐ahead optimal scheduling of building energy microgrids based on time‐varying virtual energy storage

The thermal inertia of a building envelope endows with heat storage capability, introducing scheduling flexibility to energy microgrid (BEM). is usually modelled as virtual (VES) and used optimize the operation BEMs reduce electricity costs. However, VES capacity impacted by varies variations in indoor/outdoor temperature. If only envelope's effect on transfer considered, without proper quantification provided envelope, scheme (especially charging/discharging schemes) will deviate from actual operating conditions, which may affect comfort individuals buildings or bring high In this paper, time-varying model (TVES) three parameters (virtual electric (VEC), state charge (SOC), discharge power) proposed quantify capability at different time periods for participating BEM. Based TVES, day-ahead optimal strategy developed BEM simultaneously cost guarantee user's comfort, where TVES are taken constraints optimization. Numerical studies verify effectiveness strategy.