Energy Consumption Scheduling of Smart Homes with Microgrid under Multi-objective Optimisation

Microgrid is regarded as an alternative to the current centralised energy generation systems because of its benefits from various aspects, including economic and environment. And flexible domestic electricity consumption tasks within smart homes with a common microgrid can be scheduled for better mutual benefits. This paper proposes a mixed integer linear programming (MILP) model to schedule the energy consumption within smart homes by coupling environmental and economic sustainability in a multi-objective optimisation with e-constraint method. Electricity tariff and CO2 intensity profiles of UK are employed and the Pareto curve for cost and CO2 emissions present the trade-off between the two conflict objectives.