Event-Based Hybrid Bi-Level Energy Management and Control Framework of Networked Microgrid
Networked microgrids (NMGs) are favorable for enhancing the operating efficiency under normal operations and maintaining energy supply to critical facilities during abnormal conditions in the face of severe outages. This paper proposes an event-based hybrid bi-level energy management and control framework for NMGs. We first propose a hybrid bi-level energy management and control system, incorporating the energy management of NMGs at the upper-level and the control of distributed energy resources (DERs) at the lower-level. The upper-level aims to offer economic and resilient solutions by considering diverse operating conditions (e.g., normal and emergency). The lower-level DER control is proposed to ensure intra-hour operation in a fully distributed manner. An event-triggered module incorporating several predefined events is designed to switch the control model (i.e., operation targets and constraints) of the upper-level for different operation conditions and to reschedule DERs and breaker of NMGs. A consensus-based fully distributed control method for the lower-level is then developed considering the three-phase real power balance. Numerical simulations on the IEEE 123-bus system and a 900-bus utility-owned feeder are conducted to verify the effectiveness of the proposed framework.
Authors
- Tao Wu (ORCID: https://orcid.org/0000-0002-9788-9613)
- Anping Zhou (ORCID: https://orcid.org/0000-0002-2428-8139)
- Robert A. Cox (ORCID: https://orcid.org/0000-0002-4854-4379)
- Badrul Chowdhury (ORCID: https://orcid.org/0000-0001-7300-1256)
- Tianqiao Zhao (ORCID: https://orcid.org/0000-0001-6004-410X)
- Jianhui Wang (ORCID: https://orcid.org/0000-0001-7162-509X)
Institutions
- University of North Carolina at Charlotte (US)
- Southern Methodist University (US)
- Brookhaven National Laboratory (US)
Publication Details
- Journal
- IEEE Transactions on Smart Grid
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/tsg.2024.3486575
- Citations
- 2
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.66