Flexible
Residential Smart Grid Simulation Framework
Different scheduling and coordination algorithms controlling household
appliances’ operations can potentially lead to energy consumption
reduction and/or load balancing in conjunction with different electricity
pricing methods used in smart grid programs. In order to easily implement
different algorithms and evaluate their efficiency against other ideas, a
flexible simulation framework is desirable in both research and business
fields. However, such a platform is currently lacking or underdeveloped. In
this thesis, we provide a simulation framework to focus on demand side
residential energy consumption coordination in response to different pricing
methods. This simulation framework, equipped with an appliance consumption
library using realistic values, aims to closely represent the average usage of
different types of appliances. The simulation results of traditional usage
yield close matching values compared to surveyed real life consumption records.
Several sample coordination algorithms, pricing schemes, and communication
scenarios are also implemented to illustrate the use of the simulation
framework.