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Research on Bi-level Coordinated Optimal Dispatching Strategy for Microgrid Cluster
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The interconnection of multiple microgrids can form a microgrid cluster (MGC). The economic benefit and operation reliability of the whole system can be improved through the energy mutual-aid and coordination control between microgrids. This paper proposes a bi-level coordinated optimal dispatching strategy for microgrid clusters. The upper layer aims to minimize the operating costs of the microgrid cluster system and the power fluctuation of the tie lines. The exchange power and generation power of each sub-microgrid are coordinated and controlled, which are sent to the lower level model as scheduling instructions. The lower layer takes a single microgrid as the research object. By optimizing the output of power generation unit, the operation cost of single microgrid can be minimized. Iterative solution is adopted between the bi-level optimization models. In order to avoid the premature and local convergence of the algorithm in the optimization process, the improved artificial bee colony algorithm (ABC) is used to solve the objective function. Finally, simulation examples verify the effectiveness and feasibility of the proposed strategy.
Title: Research on Bi-level Coordinated Optimal Dispatching Strategy for Microgrid Cluster
Description:
The interconnection of multiple microgrids can form a microgrid cluster (MGC).
The economic benefit and operation reliability of the whole system can be improved through the energy mutual-aid and coordination control between microgrids.
This paper proposes a bi-level coordinated optimal dispatching strategy for microgrid clusters.
The upper layer aims to minimize the operating costs of the microgrid cluster system and the power fluctuation of the tie lines.
The exchange power and generation power of each sub-microgrid are coordinated and controlled, which are sent to the lower level model as scheduling instructions.
The lower layer takes a single microgrid as the research object.
By optimizing the output of power generation unit, the operation cost of single microgrid can be minimized.
Iterative solution is adopted between the bi-level optimization models.
In order to avoid the premature and local convergence of the algorithm in the optimization process, the improved artificial bee colony algorithm (ABC) is used to solve the objective function.
Finally, simulation examples verify the effectiveness and feasibility of the proposed strategy.
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