Networked Microgrids for Self-healing Power Systems

Journal Article · Wed Jun 17 04:00:00 EDT 2015 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/TSG.2015.2427513· OSTI ID:1249513

Wang, Zhaoyu; Chen, Bokan; Wang, Jianhui; Chen, Chen

This paper proposes a transformative architecture for the normal operation and self-healing of networked microgrids (MGs). MGs can support and interchange electricity with each other in the proposed infrastructure. The networked MGs are connected by a physical common bus and a designed two-layer cyber communication network. The lower layer is within each MG where the energy management system (EMS) schedules the MG operation; the upper layer links a number of EMSs for global optimization and communication. In the normal operation mode, the objective is to schedule dispatchable distributed generators (DGs), energy storage systems (ESs) and controllable loads to minimize the operation costs and maximize the supply adequacy of each MG. When a generation deficiency or fault happens in a MG, the model switches to the self-healing mode and the local generation capacities of other MGs can be used to support the on-emergency portion of the system. A consensus algorithm is used to distribute portions of the desired power support to each individual MG in a decentralized way. The allocated portion corresponds to each MG’s local power exchange target which is used by its EMS to perform the optimal schedule. The resultant aggregated power output of networked MGs will be used to provide the requested power support. Test cases demonstrate the effectiveness of the proposed methodology.

• Research Organization: Argonne National Laboratory (ANL)
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 1249513
• Journal Information: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 1 Vol. 7; ISSN 1949-3053
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Country of Publication: United States
• Language: English

Related Subjects

Consensus Algorithm
Distributed Power Generation
Power Distribution Faults
Self-healing
Terms—Microgrid (MG)