Meysam Razmara
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Meysam Razmara has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
Guna R. Bharati
Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI, USA
2 shared publicationsC.R. Reddy
1 shared publication- Iii Rush Robinett
Department of Mechanical and Aerospace Engineering, Michigan Technological University, Houghton, MI 49931, USA
1 shared publication M. Shahbakhti
1 shared publicationMahdi Shahbakhti
Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI, USA
1 shared publication- Mahdi Shahbakhti
Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada
1 shared publication
Latest Publications
- Open Access
- 21 April 2016
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Smart Grid
- Vol. 9 (2) , 582-593
Bilevel Optimization Framework for Smart Building-to-Grid 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.
- 21 April 2016
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Smart Grid
- Vol. 9 (2) , 582-593
Open AccessBilevel Optimization Framework for Smart Building-to-Grid 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.
- 1 July 2015
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 07431619,p. 288-293
Bidirectional optimal operation of smart building-to-grid systems
This paper proposes a novel bidirectional optimization of buildings integrated to the smart distribution grid, which possess potential benefits to the customers and utilities both. Mathematical models required for the optimal operations of buildings and grids are developed and a new method is proposed to obtain the solution of the bidirectional optimization. In this work, minimization of the cost of energy is chosen as an objective for the building load management, while the distribution utilities aim to increase load penetration by maximizing the load factor. Case studies are carried out based on actual data collected from an office building at Michigan Technological University, and using a standard distribution test feeder. Studies demonstrate that the proposed bidirectional optimization is beneficial to both the customer and the distribution grid as it shows significant saving in the energy costs and improvement on the system load factor.
- 1 July 2015
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 07431619,p. 288-293
Bidirectional optimal operation of smart building-to-grid systems
This paper proposes a novel bidirectional optimization of buildings integrated to the smart distribution grid, which possess potential benefits to the customers and utilities both. Mathematical models required for the optimal operations of buildings and grids are developed and a new method is proposed to obtain the solution of the bidirectional optimization. In this work, minimization of the cost of energy is chosen as an objective for the building load management, while the distribution utilities aim to increase load penetration by maximizing the load factor. Case studies are carried out based on actual data collected from an office building at Michigan Technological University, and using a standard distribution test feeder. Studies demonstrate that the proposed bidirectional optimization is beneficial to both the customer and the distribution grid as it shows significant saving in the energy costs and improvement on the system load factor.