Two-stage optimal dispatch of power system considering carbon emission flow and demand response

Abstract

The access of wind power reduces the carbon emissions of the power system from the generation side, and the introduction of demand response to eliminate wind abandonment provides a new idea for carbon reduction from the load side. Considering wind power and demand response comprehensively, based on the theory of carbon emission flow of power system, a day-ahead and day-in two-stage low carbon optimal dispatching method for power grid is proposed. Firstly, the carbon emission flow theory of power system is analyzed, and the node carbon potential model of load side is established. Then, the flexible load is divided into two types, transferable load and reducible load. Based on the carbon potential model of load nodes, the response mechanism of calling these two types of loads to reduce carbon is designed. On this basis, the source load coordination day-ahead optimal scheduling model considering low-carbon and economic is established. Based on model predictive control, the day-ahead optimal scheduling model is solved, and the day-ahead scheduling results are changed through feedback correction. Finally, the simulation results of the improved PJM-5 node system and IEEE 300-node system show that the proposed optimal scheduling method can effectively promote the flexible load to absorb wind power, and reduce wind abandonment, and achieve the goal of load side carbon reduction.

Keywords

• carbon emission flow
• wind power
• demand response
• optimal dispatch
• flexible load
• model predictive control