关键词: 钢铁企业, 风电消纳, 源荷协调, 自适应电价, 场景生成, 需求响应

Abstract: In view of the problems that large-scale new energy is difficult to absorb in the current wind power system and the lack of enthusiasm of iron and steel enterprises to participate in the scheduling, a collaborative scheduling strategy of wind power system considering the participation of iron and steel enterprises is proposed. This paper analyses the mode of iron and steel enterprises' participation in wind power consumption, and models it based on the scheduling characteristics of electric arc furnace; The data-driven method is used to generate large-scale scenarios, analyse the superposition effect of uncertainty of electric arc furnace and wind power output, and determine the reserve capacity required by the power system to deal with uncertainty fluctuations; Based on the generated scenario set, an adaptive electricity price mechanism for iron and steel enterprises considering the variation of wind power output and source load fluctuation is proposed to encourage them to participate in demand response; The optimal scheduling model considering multi interests is established and solved by artificial bee colony algorithm; Finally, a numerical example is given to verify the proposed strategy. The results show that the proposed method can improve the economy and wind power consumption of the system while ensuring the scheduling enthusiasm of iron and steel enterprises.

Key words: steel enterprises, wind power consumption, source load coordination, adaptive electricity pricing, scene generation, demand response