QoS-constrained energy management in smart microgrid

Aiming at improving the quality and stability of power supply in the microgrid comprising some distributed energy resources(DER) and a number of loads, this paper proposes an enhanced power control strategy for a smart microgrid with a power electronic transfer (PET) at the point of common coupling (PCC). The paper focus on improving the quality and stability of power supply in the microgrid. We formulate the problem of power management as a probabilistic constrained optimization problem, i.e., minimizing the electricity delivered from the main grid while keeping the overload probability of the microgrid below a desired threshold which can be defined as the quality of service (QoS). We use the observed historical distributed energy resource (DER) production and load consumption to estimate the overload probability by applying large deviation principle. And an online control strategy is derived. The major technical contribution of this paper is linked to the proposed power control strategy that guarantees a more stable and higher quality energy supply for the load in microgrid. Finally, the effectiveness of the proposed control strategy is verified by simulation which uses real data.