Two-Stage Stochastic Optimal Dispatch of Integrated Electricity and Heat Energy Systems Considering Uncertainty of Wind Power

The integrated electricity and heat energy systems (IEHS) realize the coupling of electricity system and heat systems, which can make full use of the characteristics of different energy flows, and helps to improve the energy efficiency of the system and the consumption of renewable energy. In order to cope with wind power's uncertainty, this paper establishes a two-stage stochastic optimal dispatch method for IEHS. Typical wind power scenarios are obtained by Monte-Carlo sampling and scenario reduction method. The two-stage optimal dispatch model is constructed based on the direct-current power flow model and dynamic thermal model, and the relationship between day-ahead dispatch and realtime adjustment strategy. In order to verify the effectiveness of the proposed method, a case study is carried out based on an IEHS consisting of a 6-node electricity system and a 12-node heat system, and the impact of the CHP units' participation in the second stage optimization on the dispatch results is analyzed in detail.