Researchers Mohammadali Rostami, Saeed Lotfifard, and Mladen Kezunovic from Texas A&M University have developed a new platform to optimize the use of smart building resources within power distribution systems. Their work, published in the IEEE Transactions on Smart Grid, focuses on coordinating energy generation and storage in buildings to improve overall system efficiency.
The researchers propose a multi-actor coordination platform that includes three key components: the Smart Building Coordinator (SBC), Micro-Grid Coordinator (MGC), and Distribution System Coordinator (DSC). These coordinators operate independently and share only limited information with each other to reach an optimal solution. The platform uses a hierarchical optimization process to determine the best operating points for all distribution system resources, including rooftop solar panels and battery energy storage systems (BESS).
One of the standout features of this platform is its ability to preserve the confidentiality of behind-the-meter (BTM) data. This means that information about the status of a building’s solar panels, BESS, and energy load is not shared with the power system owner, addressing privacy concerns. The platform’s architecture is also flexible and scalable, allowing for local coordination of microgrids and smart buildings with the distribution grid.
Numerical simulations conducted by the researchers demonstrate the effectiveness of the platform in coordinating BTM resources with the rest of the distribution system. This could lead to more efficient use of energy resources and improved overall system performance.
For the energy industry, this research offers a practical approach to integrating smart building resources into the broader power distribution system. By optimizing the use of solar panels and battery storage, utilities can better manage energy supply and demand, potentially reducing costs and improving reliability. The platform’s ability to preserve data privacy could also encourage greater participation from building owners in energy management programs.
This article is based on research available at arXiv.