An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids

Abstract

This paper presents an energy scheduling algorithm for a small-scale microgrid serving small to medium size commercial buildings (the building microgrid) that includes conventional and renewable distributed generation resources, energy storage, and both linear and nonlinear loads. An essential study objective is to mitigate power quality issues through coordinating the operating schedules of sensitive devices in the building microgrid. The proposed energy scheduling algorithm is formulated as a mixed integer programming problem where power quality requirements are modeled in the constraints. The algorithm also involves validation with the harmonics and dynamic event simulations. Case studies have been performed with realistic model parameters to verify the performance of the algorithm. This paper results demonstrate the effectiveness of the algorithm in managing voltage and frequency deviations, as well as harmonic distortions. In the transaction-based control framework, the proposed algorithm can be used to aggregate device transaction bids and facilitate the buildings-to-grid integration.