首页|基于数据驱动的供热条件下火电机组出力范围的研究

基于数据驱动的供热条件下火电机组出力范围的研究

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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.
Study on the Output Range of Thermal Power Units under Heating Conditions based on Data-driven Technology
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 out-put range of thermal power has become increasingly important.This article first relies on artificial intelli-gence 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.

heating extractionthermal power unitoutput rangeregulation capacity

罗家松、田雪沁、王运、张静忠、刘智慧、耿天翔、王智冬

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国网经济技术研究院有限公司,北京 102209

国网宁夏电力有限公司,宁夏 银川 750001

供热抽汽 火电机组 出力范围 人工智能

2024

节能技术
国防科技工业节能技术服务中心

节能技术

CSTPCD
影响因子:0.601
ISSN:1002-6339
年,卷(期):2024.42(1)
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