Scheduling of Electric Power Loads via Distributed Optimization Based on a Primal-Dual Perturbation Method

Abstract

Motivated by power balancing and scheduling in energy management systems, a variety of distributed optimization algorithms have been investigated recently. This paper formulates a scheduling problem of not only electric appliances with fixed load profiles but also those without, and presents a distributed optimization method based on an average consensus algorithm and a primal-dual perturbation method. Moreover, this paper provides a scheduling framework to consider request changes of appliance operations by introducing a model predictive control scheme. The effectiveness of the proposed method is verified through simulation results.