基于数据驱动的供热条件下火电机组出力范围的研究

Study on the Output Range of Thermal Power Units under Heating Conditions based on Data-driven Technology

为解决北方寒冷地区的供暖问题,火电机组通常需要在冬季时进行供热抽汽。而在“双碳目标”背景下,火电逐渐成为电力系统调节能力供应方的主流,对火电出力范围的研究也愈加重要。本文首先依靠人工智能方法,以机组历史运行数据建立主蒸汽流量、供热抽汽量、排汽量、功率的耦合模型,然后结合机组自身的主蒸汽范围约束和最小排汽量约束,探索出不同供热抽汽量下的火电机组出力上下限。最后结合机组数据验证所提出方法的约束范围可行。

To solve the heating problem in cold northern regions,thermal power units usually require heating and steam extraction during winter.In the context of the“dual carbon target”,thermal power has gradually become the mainstream provider of power system regulation capacity,and research on the output range of thermal power has become increasingly important.This article first relies on artificial intelligence methods to establish a coupling model of main steam flow rate,heating extraction rate,exhaust rate,and power based on historical operating data of the unit.Then,combined with the constraints of the unit s own main steam range and minimum exhaust rate,the upper and lower limits of thermal power unit output under different heating extraction rates are explored.Finally,the constraint range of the proposed method is verified to be feasible based on unit data.