A Novel Flow Invariants-Based Approach to Microgrid Management


This paper presents a novel flow invariants-based approach to microgrid management that is much more intuitive, less complex, and highly scalable in comparison with existing droop control, agent-based, and model predictive control-based approaches. These proclaimed advantages are exemplified by using a renewable energy-based microgrid (a microgrid-in-a-container) for a military forward operating base camp as the model system. The ability of the proposed approach to maintain the overall system stability and valid power flows while efficiently managing distributed energy resources through multiple operational modes is reflected by using a requirements matrix, and proven techniques in distributed systems and formal analysis. A Power System Computer Aided Design (PSCAD) simulation is used to validate and verify the real-world practicality of the proposed control approach.


Computer Science

Second Department

Electrical and Computer Engineering

Keywords and Phrases

Adaptive control systems; Complex networks; Computer aided analysis; Computer aided design; Computer networks; Decentralized control; Distributed computer systems; Electric power distribution; Energy resources; Formal specification; Model predictive control; Peer to peer networks; Renewable energy resources; System stability; Adaptive Control; Hybrid power systems; Mathematical analysis; Micro grid; Peer-to-peer computing; Power system management; Computer control systems; Microgrids; Power System Computer Aided Design (PSCAD)

International Standard Serial Number (ISSN)

1949-3053; 1949-3061

Document Type

Article - Journal

Document Version


File Type





© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Mar 2015