LI Anle, YI Zhigang, PENG Xing. Optimal Scheduling of Distributed Generation System for Kitchen Waste Treatment Plant Based on Model Predictive Control[J]. 2022, 42(4): 75-80.
LI Anle, YI Zhigang, PENG Xing. Optimal Scheduling of Distributed Generation System for Kitchen Waste Treatment Plant Based on Model Predictive Control[J]. 2022, 42(4): 75-80. DOI: 10.3969/j.issn.1008-0198.2022.04.015.
To make full use of the distributed power generation system in the food waste treatment plant
meet the plant power demand
and reduce the power consumption of the grid while reducing the impact on the grid
the optimal dispatching strategy of the distributed power generation system based on model prediction control is proposed. Firstly
the power output of distributed power generation system is day-ahead predicted
and the load demand plan for upper grid power is calculated by combining with plant power consumption. Then
the output of energy storage system is optimally dispatched on a rolling basis based on model prediction control
and the prediction error of distributed power generation system is suppressed by reasonably adjusting the power output of energy storage system. Finally
the actual example of a waste treatment plant is verified
and its economic and environmental benefits are measured. The results show that the proposed strategy has high environmental and economic benefits.
Beltran H, Jaume I, Castello de la Plana. Evaluation of Storage Energy Requirements for Constant Production in PV PowerPlants[J]. IEEE transactions on industrial electronics, 2013, 60(3), 1225-1234.