In the case of the immature auxiliary service market, there is no flexible auxiliary service rules designed to comprehensively coordinate the power required by the grid and the charge and discharge strategy of ES. a two-layer optimization model considering Energy Storage (ES) auxiliary services is proposed. The optimization objectives are the lowest operating cost of the power grid and the lowest cost of the solar power station. In order to realize the optimal allocation of ES capacity, a dynamic pricing mechanism is proposed. It is passed from the upper level to the lower level. Through the analysis of examples, the optimal results can not only allow the energy storage to fully participate in the auxiliary service market, but also maximize the interests of the upper and lower levels.
No takes yet. Share an insight, caveat, or question.
Li et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: