Impact of model predictive control-enabled home energy management on large-scale distribution systems with photovoltaics

Residential customers use more than one-quarter of the electricity in world. Optimally managing home energy consumption is an effective way easing operational challenges facing electric grid with increasing solar photovoltaics (PV). This paper studies impact future proliferation management systems (HEMS) presence PV on large-scale distribution systems. First, we present a stochastic HEMS model that minimizes residential customers’ thermal discomfort and costs under uncertainty. The schedules optimal operations appliances within mixed-integer linear programming-based predictive control framework links proposed to quasi-steady-state time-series simulation tool. Extensive simulations are conducted for stand-alone using two tariff structures 1977 homes 8,500-node feeder. Simulation results quantify system PV.