Applying ring cellular encode-decode UMDA to risk-based energy scheduling

Abstract:

One of the challenges to making cities and human settlements inclusive, safe, resilient, and sustainable is to manage energy efficiently. Thus, developing algorithms to address smart grid management-related problems is still an open research area. In this context, the "Competition on Evolutionary Computation in the Energy Domain", launched in 2017, proposes the risk-based energy scheduling problem in the 2022 edition. In this paper, the algorithm RCED-UMDA is applied to solve the risk-based energy scheduling. Experimental results reveal that RCED-UMDA achieves better behavior than the top three algorithms of each track of the past 2021 competition edition.

Año de publicación:

2022

Keywords:

• uncertain environments
• smart grids
• Evolutionary computation
• cellular estimation distribution algorithms

Fuente:

scopus