Back to Search
Start Over
Research on Optimal Scheduling of Multi-Energy Microgrid Based on Stackelberg Game.
- Source :
- Processes; Oct2023, Vol. 11 Issue 10, p2820, 26p
- Publication Year :
- 2023
-
Abstract
- In recent years, rapid industrialization has driven higher energy demand, depleting fossil-fuel reserves and causing excessive emissions. China's "dual carbon" strategy aims to balance development and sustainability. This study optimizes microgrid efficiency with a tiered carbon-priced economy. A Stackelberg game establishes microgrid-user equilibrium, solved iteratively with a multi-population algorithm (MPGA). Comparative analysis can be obtained without considering demand response scenarios, and the optimization cost of microgrid operation considering price-based demand response scenarios was reduced by 5%; that is 668.95 yuan. In addition, the cost of electricity purchase was decreased by 23.8%, or 778.6 yuan. The model promotes user-driven energy use, elevating economic and system benefits, and therefore, the scheduling expectation of "peak shaving and valley filling" is effectively realized. [ABSTRACT FROM AUTHOR]
- Subjects :
- MICROGRIDS
ENERGY consumption
ECONOMIC systems
SCHEDULING
GAMES
Subjects
Details
- Language :
- English
- ISSN :
- 22279717
- Volume :
- 11
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Processes
- Publication Type :
- Academic Journal
- Accession number :
- 173317472
- Full Text :
- https://doi.org/10.3390/pr11102820