This article describes a method for establishing an appliance scheduling scheme that can optimally coordinate a group of appliances in a consumer's premises. Finite-horizon scheduling optimizations are formulated to schedule the operation of appliances using a modeled predictive control method that incorporates both forecasts and newly updated information. A complex mixed discrete-continuous non-linear model is here in established, and a novel algorithm that hybridizes particle swarm optimization and constraint handing methods is proposed to derive optimum solutions within a limited computational time. Simulation results showed that the proposed algorithm can efficiently resolve real-life instances and can be embedded in resource limited devices.
Model Predictive Control Based Demand Response for Optimization of Residential Energy Consumption
Electric power components and systems ; 44 , 10
2016
Aufsatz (Zeitschrift)
Englisch
METHOD FOR MANAGING RESIDENTIAL DEMAND RESPONSE RESOURCES
Europäisches Patentamt | 2023
|An Occupant-Based Energy Consumption Model for User-Focused Design of Residential Buildings
Online Contents | 2015
|SAGE Publications | 2022
|