An Optimal Scheduling Model for Multi-energy Complementary Generation System with Battery Energy Storage Considering Dynamic Frequency
摘要
The high penetration of new energy causes a serious decline in the inertia of power systems. A dynamic frequency based optimization scheduling model for a multi energy complementary power generation system with battery energy storage is proposed. In order to improve the dynamic frequency safety of the system, a battery energy storage system (BESS) has been introduced. A mixed integer linear programming (MILP) model considering battery energy storage was established to optimize the scheduling of battery energy storage multi-energy complementary generation systems. This model takes into account the dynamic frequency response (DFR) of battery energy storage systems to ensure that the system operates under the constraints of frequency change rate and minimum frequency. The modified IEEE14 node system was used for case analysis, and the results showed that the proposed model can decrease the operation cost of the system while ensuring frequency safety.