Fast and Scalable Electrical Demand Scheduling for a Large Number of Residential Consumers

This thesis addresses the questions of how to utilise a dynamic pricing scheme such as real-time pricing in demand response programs, and coordinate households to efficiently and effectively schedule demands for a large number of consumers, in order to reduce the overall peak demand and the electricity cost while maintaining consumers’ needs, satisfaction and privacy. It expands knowledge in the areas of modelling demand scheduling problems, solving large-scale demand scheduling problems, and distributed and iterative optimisation methods, as they relate to this topic.