3.8 Article

Optimal scheduling of residential building energy system under B2G, G2B and B2B operation modes

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40095-021-00443-8

Keywords

Optimal scheduling; Electricity tariff; Genetic algorithm; Renewable energy resources; Smart homes; Building-to-building energy exchange

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This paper aims to optimally schedule residential building energy systems by considering uncertainties in renewable energy resources and the application of battery energy storage systems. The study shows that optimal resource scheduling can maximize homeowner profit, with sensitivity analysis taken into account for energy production and consumption uncertainties.
The purpose of this paper is to optimally and economically schedule residential building energy system, considering renewable energy resources uncertainties and battery energy storage system (BESS) application under different operation modes. The power exchange of this system with the grid, named as building to grid (B2G) or grid to building (G2B) operation modes, and also with neighboring building (B2B), is studied considering electricity tariff changes during a day. The results show that optimal resource scheduling can maximize the residential home owner's profit. Given the uncertainty in the amount of energy produced by renewable energy resources and the amount of energy consumed by the studied building, sensitivity analysis is considered.

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