Bilevel optimization framework for smart building-to-grid systems
Department of Mechanical Engineering-Engineering Mechanics; Center for Cyber-Physical Systems
This paper proposes a novel framework suitable for bilevel optimization in a system of commercial buildings integrated to smart distribution grid. The proposed optimization framework consists of comprehensive mathematical models of commercial buildings and underlying distribution grid, their operational constraints, and a bilevel solution approach which is based on the information exchange between the two levels. The proposed framework benefits both entities involved in the building-to-grid (B2G) system, i.e., the operations of the buildings and the distribution grid. The framework achieves two distinct objectives: increased load penetration by maximizing the distribution system load factor and reduced energy cost for the buildings. This study also proposes a novel B2G index, which is based on building's energy cost and nodal load factor, and represents a metric of combined optimal operations of the commercial buildings and distribution grid. The usefulness of the proposed framework is demonstrated in a B2G system that consists of several commercial buildings connected to a 33-node distribution test feeder, where the building parameters are obtained from actual measurements at an office building at Michigan Technological University.
IEEE Transactions on Smart Grid
Robinett, R. D.
Bilevel optimization framework for smart building-to-grid systems.
IEEE Transactions on Smart Grid,
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/677
© 2016 IEEE. Publisher's version of record: https://doi.org/10.1109/TSG.2016.2557334