Optimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution Algorithm
Abstract:
Efficient energy management is critical to building inclusive, safe, resilient, and sustainable cities and human settlements. Optimizing the operation and planning of smart grids is crucial in this regard and remains an active research area. The “Competition on Evolutionary Computation in the Energy Domain” has been held annually since 2017. Its 2023 edition focuses on two problems: Risk-based optimization of energy resource management considering the uncertainty of high penetration of distributed energy resources, and Long-term transmission network expansion planning. In this paper, we apply the RCED-UMDA algorithm to solve these problems, and our experimental results demonstrate its superiority over the top three algorithms of the 2022 and 2021 competition editions.
Año de publicación:
2023
Keywords:
- cellular estimation distribution algorithms
- Evolutionary computation
- smart grids
- uncertain environments
Fuente:
scopusTipo de documento:
Other
Estado:
Acceso restringido
Áreas de conocimiento:
- Evolución
- Optimización matemática
- Optimización matemática
Áreas temáticas de Dewey:
- Física aplicada
- Métodos informáticos especiales
- Economía de la tierra y la energía
Procesado con IAObjetivos de Desarrollo Sostenible:
- ODS 9: Industria, innovación e infraestructura
- ODS 11: Ciudades y comunidades sostenibles
- ODS 8: Trabajo decente y crecimiento económico
Procesado con IA