Paper Conference

2020 Building Performance Analysis Conference and SimBuild co-organized by ASHRAE and IBPSA-USA

     

Optimal Operation for Resilient Communities through a Hierarchical Load Scheduling Framework

Jing Wang, Kaitlyn Garifi, Kyri Baker, Wangda Zuo, Yingchen Zhang
University of Colorado Boulder, Boulder, CO
National Renewable Energy Laboratory, Golden, CO

Abstract: The increasing frequency of man-made disasters as well as extreme weather events is causing more frequent power outages. To overcome this, resilient communities with on-site photovoltaic (PV) generation and battery storage can sustain power outages and continue to operate without sacrificing the occupants' comfort needs. However, it remains challenging to prioritize and schedule the loads on a community scale during off-grid operation. This paper proposes a hierarchical load scheduling framework for the optimal operation of community loads and heating, ventilation and airconditioning (HVAC) systems with only limited PV and batteries. The framework consists of a community coordinator layer, a building layer, and an appliance layer, which are separately formulated as rule-based resource allocation, model predictive control (MPC) problems and four types of load models. We discuss the unserved load ratio, battery sizes, PV curtailment, and thermal comfort satisfaction to evaluate the optimal load scheduling outcome. The results show the proposed framework can help maintain the community unserved load ratio at about 6.2% during the simulated 48 hours.
Pages: 165 - 172
Paper:
simbuild2020_C020