@Article{ee.2026.078724,
AUTHOR = {Yiqun Kang, Zhe Li, Li You, Haozhe Xiong, Yuxuan Hu, Fei Wang},
TITLE = {Low-Carbon and Economic Dispatch Strategy Considering Optimal Multi-Machine Allocation and Power Control for Grid-Forming Energy Storage in Micro-Energy Grids},
JOURNAL = {Energy Engineering},
VOLUME = {123},
YEAR = {2026},
NUMBER = {9},
PAGES = {--},
URL = {http://www.techscience.com/energy/v123n9/68312},
ISSN = {1546-0118},
ABSTRACT = {As the world’s energy framework shifts towards a low-carbon model, the widespread incorporation of renewable energy (RE) sources, primarily wind power and photovoltaics (PV), into the power grid is an unavoidable development. The micro-energy grid (MEG), as an integrated system that combines distributed energy, energy storage (ES), and power loads, can achieve efficient consumption of RE by implementing multi-machine optimal allocation and unified coordinated power control for parallel operation of grid-forming energy storage (GFES). For this purpose, this paper puts forward a low-carbon and economic dispatch strategy for MEG that considers multi-machine optimal allocation of GFES and unified coordinated power control for parallel operation. The strategy constructs a multi-machine optimal allocation model for GFES in the outer layer, striving to achieve the lowest operational costs for the MEG. In the inner layer, based on the obtained optimal multi-machine allocation scheme for GFES, a unified coordinated power control model for parallel operation of GFES in the MEG is constructed, targeting the minimization of pollutant gas emissions and system voltage deviation. The plant growth simulation algorithm (PGSA) is employed to solve the established models for multi-machine optimal allocation of GFES and unified coordinated power control for parallel operation in the MEG. Through simulation analysis, it has been substantiated that the proposed method can effectively achieve multi-machine optimal allocation and unified coordinated power control for parallel operation of GFES, reduce the operational costs of the MEG system, while also decreasing pollutant gas emissions and stabilizing system operation, thereby offering robust and substantial backing for the attainment of a low-carbon economy and the pursuit of sustainable development.},
DOI = {10.32604/ee.2026.078724}
}