Abstract

Typically, a large portion of microgrid generating capacity is from variable renewable resources that are greatly impacted by the environment and can be intermittent as well as stochastic. This would result in uncertainty of microgrid net-load, and negatively affect the grid reliability. A two-phase real-time energy management strategy for networked microgrid is proposed in this paper to address microgrid internal fluctuation internally, which enables a microgrid to become grid-friendly. The proposed strategy is based on coordination between the real-time dispatch (RTD) phase and the real-time control (RTC) phase. In the RTD phase, model predictive control (MPC) is used to optimally dispatch microgrid resources in the current time interval while considering near future situations. The RTC phase addresses microgrid internal net-load fluctuation with fast-acting batteries, which aims to maintain a constant tie-line power flow between the main grid and the microgrid for the current dispatch interval. Numerical imulations conducted on ten different net-load scenarios can demonstrate the performance of the proposed twophase energy management strategy that will enable a microgrid to operate as a controllable asset with static electricity consumption or production in an economic dispatch interval from the perspective of the bulk grid operator.

Index Terms

Battery energy storage system, Controllable microgrid, Distributed energy resources, Grid-friendly microgrid, Microgrid energy management, Model predictive control, Multitime- scale coordination.

Cite this paper:

Cunzhi Zhao and Xingpeng Li, “A Novel Real-Time Energy Management Strategy for Grid-Friendly Microgrid: Harnessing Internal Fluctuation Internally,” The 52nd North American Power Symposium (NAPS), (Virtually), Tempe, AZ, USA, Apr, 2021.