Deregulation of the electricity sector, the rise of distributed generation, and a growing interest in local resilience have led to increasing attention on microgrids. In this paper, we present an approach for sizing the microgrid components that accounts for the load flexibility available in buildings with model predictive control. As buildings are becoming smarter, the use of building control systems to regulate building load for different strategies, such as peak demand limiting or load shifting, is becoming increasingly prevalent. When sizing microgrid components under islanded operation, it becomes critical to consider the dynamic nature of the building load, since the intelligent control systems can use the building response to help balance energy flows. An optimal sizing and dispatch model of the microgrid with model predictive control is developed. Simulations are carried out for representative days for a building-level microgrid serving a medium-sized commercial building. Results show that savings in first costs and operational costs can be realized if advanced controls are considered during design and component selection.
All Science Journal Classification (ASJC) codes
- Building and Construction
- Mechanical Engineering
- Management, Monitoring, Policy and Law