Optimal energy consumption scheduling in home energy management system

摘要

This paper presents an optimization algorithm used for energy controllers. Residential users can define the beginning and terminating times of elastic electricity use. Real-time pricing information is provided through smart meters by a utility company. Users can make informed decisions regarding energy scheduling to minimize total electricity tariff. In the proposed method, the elastic electricity are divided into interruptible and uninterruptible. Customers can use photovoltaic (PV) generators and battery sets as backup power sources, and can benefit from green energy. This paper proposes Taguchi-genetic algorithm to reduce total purchase electricity with fewer epochs than genetic algorithms. The proposed method is applied to an example of dormitory energy consumption.