Abstract
In response to the current phenomenon of severe wind curtailment during the winter heating period in China’s Three Northern Regions, deep adjustment of thermal power units can be achieved to reduce wind curtailment. Thus, this paper presents a bi-level optimization model for the combined heat and power system operation and multi-energy storage configuration. The lower model is the combined heat and power operation model of wind curtailment consumption with thermal storage electric boilers and electric energy storage devices. The goal is to minimize the total cost of combined heat and power unit operation, wind curtailment, environmental pollution, and large grid interaction. The upper model aims at the lowest cost of multi-energy storage configuration. Finally, the IEEE 9-node system is simulated using YALMIP and GUROBI. The results show that the proposed model is able to reduce the cost of the generation unit operation and environmental pollution, to guarantee full wind power consumption, and to reduce investment costs for energy storage systems.
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