Abstract
Based on the operation characteristics of each dispatch unit, a multi-objective hierarchical Microgrid (MG) economic dispatch strategy with load level, source-load level, and source-grid-load level is proposed in this paper. The objective functions considered are to minimize each dispatching unit’s comprehensive operating cost (COC), reduce the power fluctuation between the MG and the main grid connect line, and decrease the remaining net load of the MG after dispatch by way of energy storage (ES) and clean energy. Firstly, the load level takes electric vehicles (EVs) as a means of controlling load to regulate the MG’s load fluctuation using its energy storage characteristics under time-of-use (TOU) price. Then, in order to minimize the remaining net load of the MG and the COC of the ES unit through Multiobjective Particle Swarm Optimization (MPSO), the source-load level adopts clean energy and ES units to absorb the optimized load from the load level. Finally, the remaining net load is absorbed by the main grid and diesel engines (DE), and the remaining clean energy is sold to the main grid to gain benefits at the source-grid-load level. Ultimately, the proposed strategy is simulated and analyzed with a specific example and compared with the EVs’ disorderly charging operation and MG isolated grid operation, which verifies the strategy’s scientificity and effectiveness.
Highlights
With the increasing global resource scarcity and ecological pollution, the Microgrid (MG), as an effective means of supplementing main grid operation, has been more and more favored by the world [1]
It can be seen that the distribution of throughis the Multiobjective Particle Swarm Optimization (MPSO) uniform: algorithmthe as comprehensive operating cost (COC)
The results of the net load power and energy storage (ES) output power of the MG optimized by the source-load level were substituted into the source-grid-load level, which is still solved by the MPSO algorithm
Summary
With the increasing global resource scarcity and ecological pollution, the Microgrid (MG), as an effective means of supplementing main grid operation, has been more and more favored by the world [1]. Domestic and international MG economic dispatch research focuses strongly on single-objective optimization scheduling. An economic dispatching model with the minimum investment and maintenance cost of the MG is established in [4,5] and solved by the reduced gradient method, while the operation constraints of the distributed unit are simplified. In [6], the MG economic scheduling problem is transformed into a mixed-integer linear programming problem by a linearization method. This method can quickly solve the short-term economic dispatch problem of an MG, but the solution effect for a long-term or multiobjective economic dispatching problem of the MG will be greatly reduced. Other improved intelligent algorithms have been used to solve the established
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