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面向可再生能源消纳的火电机组控制结构综合与分析

马士全 丁进良

自动化学报2025,Vol.51Issue(11):2412-2426,15.
自动化学报2025,Vol.51Issue(11):2412-2426,15.DOI:10.16383/j.aas.c230210

面向可再生能源消纳的火电机组控制结构综合与分析

Syntheses and Analyses of Control Structure for Coal-fired Power Plants Oriented to Renewable Energy Accommodation

马士全 1丁进良1

作者信息

  • 1. 东北大学流程工业综合自动化国家重点实验室 沈阳 110819
  • 折叠

摘要

Abstract

Increasing the proportion of renewable energy in the power grid and making the energy structure more rational is an effective way to accelerate energy transformation and achieve low-carbon and sustainable develop-ment.The dominant role of thermal power in the power grid and its ability to assist in the consumption of renew-able energy play an important role in increasing the proportion of renewable energy in the grid.In order to improve the accommodation capacity of auxiliary renewable energy in thermal power units,this paper analyzes factors af-fecting unit flexibility and peak-shaving depth based on current control system schemes,including boiler-turbine co-ordination,boiler control under local feedback strategy,and the planning of system steady-state operating points.The coordination strategy based on compensation scheme limits the compensation capability of the unit for renew-able energy sources with randomness and intermittency;The Boiler control under the local feedback strategy only achieves feedback of equivalent thermal effects;The steady-state operating point under non rated conditions is re-lated to the energy consumption and emission indicators of auxiliary renewable energy consumption.Finally,fur-ther research was conducted on the dynamic coordination control of the turbine and furnace,as well as multi-ob-jective optimization of the system under non rated operating conditions.

关键词

可再生能源消纳/机炉协调/控制方案/协同控制/火电机组

Key words

Renewable energy accommodation/coordination of furnace and turbine/control strategy/cooperative control/coal-fired power plants

引用本文复制引用

马士全,丁进良..面向可再生能源消纳的火电机组控制结构综合与分析[J].自动化学报,2025,51(11):2412-2426,15.

基金项目

国家自然科学基金(61988101),辽宁省兴辽英才计划(XLYC2202002)资助Supported by National Natural Science Foundation of China(61988101)and Xinliao Talent Program of Liaoning Province(XLYC2202002) (61988101)

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