Optimal power flow and energy-sharing among multi-agent smart buildings in the smart grid

Buildings account for about 40% of total energy consumption. Efficient building energy control can considerably reduce energy costs. A smart grid takes advantage of bi-directional energy and information flow between the utility grid and the energy user. Smart buildings can charge or discharge energy...

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Bibliographic Details
Published in2013 IEEE Energytech pp. 1 - 5
Main Authors Byungchul Kim, Lavrova, Olga
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2013
Subjects
Batteries
Battery Storage System
Genetic algorithms
Linear programming
Load flow
Multi-agent systems
Multiple Traveling Salesman Problem
Optimal Power Flow
Smart Building
Smart buildings
Smart Grid
Smart grids
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Summary:Buildings account for about 40% of total energy consumption. Efficient building energy control can considerably reduce energy costs. A smart grid takes advantage of bi-directional energy and information flow between the utility grid and the energy user. Smart buildings can charge or discharge energy or power from multiple buildings (multi-agent systems) using smart meters via battery storage in the smart buildings. However, there is very little research on how to share energy among multi-agent systems and optimal power flow among smart buildings (multi-agent systems) in the smart grid. In this paper, the authors use an advanced optimization method to present optimal power flow and energy-sharing among smart buildings. With this research, it is expected that this method can improve the smart grid optimal power flow and energy-sharing stability among smart buildings, and enhance energy dissipation balance to reach stability among many smart buildings in the smart grid.
DOI:10.1109/EnergyTech.2013.6645336