Home energy resource scheduling algorithms and their dependency on the battery model

Abstract

Smart Home Energy Management is a very hot topic within the scientific community and some interesting solutions are also available on the market. One key issue is represented by the capability of planning the usage of energy resources in order to reduce the overall energy costs. This means that, considering the dynamic electricity price and the availability of adequately sized storage system, the expert system is supposed to automatically decide the more convenient policy to administer the electrical energy flux from and towards the grid. In this work a comparison between different methods for home energy resource scheduling is proposed and analyzed from the perspective of the dependency of their performance on the employed battery model, with special focus on its capacity and charge/discharge rates. A typical grid-connected residential energy system is considered for performed computer simulations, in which a system storage and renewable resources are available and exploitable to match the user load demand. Obtained results allows the authors to provide interesting guidelines for the selection of the battery features.