新能源大规模并网条件下火电机组深度调峰控制策略优化

doi:10.11930/j.issn.1004-9649.201811059

中国电力 ›› 2020, Vol. 53 ›› Issue (1): 155-161.DOI: 10.11930/j.issn.1004-9649.201811059

新能源大规模并网条件下火电机组深度调峰控制策略优化

李玲^1,2, 刘鑫屏¹

1. 华北电力大学控制与计算机工程学院, 河北保定 071003;
2. 上海电力大学自动化工程学院, 上海 200090

收稿日期:2018-11-05 修回日期:2019-05-20 发布日期:2020-01-15
作者简介:李玲(1977-),女,博士研究生,讲师,从事火电机组热工过程智能预测控制研究,E-mail:lily_0505@sina.com;刘鑫屏(1975-),女,博士,副教授,从事大机组智能优化控制、新能源规模化并网条件下的火电机组深度调峰技术研究,E-mail:lxp@ncepu.edu.cn
基金资助:
国家重点研发计划资助项目(2017YFB0902100)

Control Strategy Optimization for Thermal Power Unit Adapted to Deep Peak Shaving for Large-Scale New Energy Source Integration

LI Ling^1,2, LIU Xinping¹

1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;
2. Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received:2018-11-05 Revised:2019-05-20 Published:2020-01-15
Supported by:
This work is supported by National Key R& D Program of China (No.2017YFB0902100).

摘要/Abstract

摘要： 火电机组深度调峰运行是消除电源侧与电网侧双随机扰动、提高可再生能源消纳率的有效措施，为此机组协调控制系统也需要进行改进，保证在大范围变工况运行时发电负荷-机前压力的控制品质。针对典型亚临界机组简化非线性动态模型，通过机理分析确定机组由额定负荷向深调峰负荷变化时模型中主要参数的变化规律，再将经典PID参数整定方法同仿真分析相结合，得到主要工况点协调控制系统最优参数，并提出适应工况变化的变参数控制逻辑。将此方法应用到某330 MW机组深调峰改造中，优化后的协调控制系统可在33%～100%负荷范围内投入，并具有良好的控制品质。

关键词: 深度调峰, 控制策略, 优化, 变参数, 仿真

Abstract: Deep peak-shaving operation of thermal power unit provides an effective path to eliminate the stochastic disturbance on both power source side and transmission grid side, as well as to boost the renewable energy consumption rate. Meanwhile, the coordination control system of units also needs to be improved to ensure the control quality of power generation load-throttle pressure under the large variation of operation conditions. On the basis of simplified nonlinear dynamic model for typical subcritical units, the variation rule for the main parameters during the load shift process from rated load to deep peak shaving load is determined through the analysis on the basic principles. Then by combining classical PID parameter tuning method with simulation analysis, the optimal parameters of the coordination control system under main operation conditions are obtained and the control logic with variable parameters adapted to operation condition changes is proposed. The application of this method on deep peak adjustment retrofit has been implemented in a 330 MW unit. The optimized coordination control system can be automatically put into service within 33%~100% load range and good control quality is also achieved.

Key words: deep peak shaving, control strategy, optimization, variable parameter, simulation

李玲, 刘鑫屏. 新能源大规模并网条件下火电机组深度调峰控制策略优化[J]. 中国电力, 2020, 53(1): 155-161.

LI Ling, LIU Xinping. Control Strategy Optimization for Thermal Power Unit Adapted to Deep Peak Shaving for Large-Scale New Energy Source Integration[J]. Electric Power, 2020, 53(1): 155-161.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201811059

https://www.electricpower.com.cn/CN/Y2020/V53/I1/155

参考文献

[1] 张正陵. 中国"十三五"新能源并网消纳形势、对策研究及多情景运行模拟分析[J]. 中国电力, 2018, 51(1):2-9
ZHANG Zhengling. Research on situation and countermeasures of new energy integration in the 13th five-year plan period and its multi-scenario simulation[J]. Electric Power, 2018, 51(1):2-9
[2] YIN Shangying, ZHANG Sufang, ANDREWS-SPEED P, et al. Economic and environmental effects of peak regulation using coal-fired power for the priority dispatch of wind power in China[J]. Journal of Cleaner Production, 2017, 162:361-370.
[3] 刘吉臻, 曾德良, 田亮, 等. 新能源电力消纳与燃煤电厂弹性运行控制策略[J]. 中国电机工程学报, 2015, 35(21):5385-5394
LIU Jizhen, ZENG Deliang, TIAN Liang, et al. Control strategy for operating flexibility of coal-fired power plants in alternate electrical power systems[J]. Proceedings of CSEE, 2015, 35(21):5385-5394
[4] 宫广正. 超临界火电机组运行灵活性提升控制策略研究及应用[J]. 中国电力, 2017, 50(8):22-26
GONG Guangzheng. Research on and application of the control strategy for flexibility improvement of supercritical fossil-fired power units[J]. Electric Power, 2017, 50(8):22-26
[5] 苏鹏, 王文君, 杨光, 等. 提升火电机组灵活性改造技术方案研究[J]. 中国电力, 2018, 51(5):87-94
SU Peng, WENG Wenjun, YANG Guang, et al. Research on the technology to improve the flexibility of thermal power plants[J]. Electric Power, 2018, 51(5):87-94
[6] 刘吉臻, 田亮, 曾德良, 等. 660 MW机组负荷-压力非线性特性的分析[J]. 动力工程, 2005, 25(4):533-536, 540
LIU Jizhen, TIAN Liang, ZENG Deliang, et al. Analysis on the nonlinearity of load-pressure characteristics of a 660 MW unit[J]. Power Engineering, 2005, 25(4):533-536, 540
[7] 张锐锋, 李小军, 潘华, 等. 两种亚临界机组负荷-压力简化模型对比及实验分析[J]. 中国电力, 2015, 48(10):23-27
ZHANG Ruifeng, LI Xiaojun, PAN Hua, et al. Comparison and experiment analysis of two simplified load-pressure models of subcritical units[J]. Electric Power, 2015, 48(10):23-27
[8] 刘鑫屏, 田亮, 秦治国. 一种工程化的协调控制系统解耦控制方案[J]. 电力科学与工程, 2014, 30(1):74-78
LIU Xinping, TIAN Liang, QIN Zhiguo. An engineering decoupling control scheme for coordinated control system[J]. Electric Power Science and Engineering, 2014, 30(1):74-78
[9] 刘鑫屏. 热力发电过程建模与状态参数检测研究[D]. 北京:华北电力大学, 2010.
LIU Xinping. Research on the modeling and state parameter detection of thermal power generation process[D]. Beijing:North China Electric Power University, 2010.
[10] 刘鑫屏, 田亮, 赵征, 等. 汽包锅炉蓄热系数的定量分析[J]. 动力工程, 2008, 28(2):216-220
LIU Xinping, TIAN Liang, ZHAO Zheng, et al. The quantitative analysis of the drum boiler heat storage coefficient[J]. Power Engineering, 2008, 28(2):216-220
[11] 陈起, 郭晓红, 王彪, 等. 锅炉蓄热系数对协调控制系统参数影响定量分析[J]. 中国电力, 2016, 49(12):86-90
CHEN Qi, GUO Xiaohong, WANG Biao, et al. Quantitative analysis on influence of boiler heat storage coefficient on coordinated control system parameters[J]. Electric Power, 2016, 49(12):86-90
[12] 赵雯文, 田亮, 张锐锋. 电站锅炉一次风系统模型[J]. 华北电力大学学报(自然科学版), 2015, 42(2):84-90
ZHAO Wenwen, TIAN Liang, ZHANG Ruifeng. Primary air system model of power plant[J]. Journal of North China Electric Power University (Natural Science Edition), 2015, 42(2):84-90
[13] 刘海喆, 田亮. 火电机组协调控制系统前馈控制逻辑设计[J]. 热力发电, 2018, 47(10):78-83
LIU Haizhe, TIAN Liang. Design of feed-forward control logic of coordinated control system of thermal power units[J]. Thermal Power Generation, 2018, 47(10):78-83
[14] 张瑞亚, 田亮. 直接能量平衡(DEB)协调控制系统参数整定[J]. 华北电力大学学报(自然科学版), 2017, 44(4):85-91
ZHANG Ruiya, TIAN Liang. Parameters tuning of direct energy balance (DEB) coordinated control system[J]. Journal of North China Electric Power University (Natural Science Edition), 2017, 44(4):85-91
[15] 卫丹靖, 田亮, 乔弘, 等. 利用一次调频扰动计算火电机组锅炉蓄热系数[J]. 中国电力, 2017, 50(3):71-76
WEI Danjing, TIAN Liang, QIAO Hong, et al. Calculation method of thermal power boiler heat storage coefficients of utilizing primary frequency[J]. Electric Power, 2017, 50(3):71-76

新能源大规模并网条件下火电机组深度调峰控制策略优化

Control Strategy Optimization for Thermal Power Unit Adapted to Deep Peak Shaving for Large-Scale New Energy Source Integration

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	李思维, 许中平, 于龙, 杜立石, 岳靓, 张喜润, 王小明. 计及电动汽车和温控负荷集群的负荷控制用户组合优化方法[J]. 中国电力, 2025, 58(3): 86-97.
[2]	沈舒仪, 王国腾, 但扬清, 孙飞飞, 黄莹, 徐政. 频率偏差与电压刚度约束下多馈入直流优化调度方法[J]. 中国电力, 2025, 58(3): 132-141.
[3]	许光, 匡军, 宋红艳, 张泽虎, 臧祥宇, 张念上, 张玉敏. 面向低压配电台区拓扑结构采集的馈线终端优化配置方法[J]. 中国电力, 2025, 58(3): 151-161.
[4]	徐祥海, 商佳宜, 赵天煜, 龚莺飞, 何卫斌, 汤亚宸. 考虑碳排放限制与市场参与的储能利润优化[J]. 中国电力, 2025, 58(3): 204-212.
[5]	李明冰, 李强, 管西洋, 周皓阳, 卢瑞, 冯延坤. 市场环境下考虑多元用户侧资源协同的虚拟电厂低碳优化调度[J]. 中国电力, 2025, 58(2): 66-76.
[6]	周建华, 梁昌誉, 史林军, 李杨, 易文飞. 计及阶梯式碳交易机制的综合能源系统优化调度[J]. 中国电力, 2025, 58(2): 77-87.
[7]	张玉敏, 尹延宾, 吉兴全, 叶平峰, 孙东磊, 宋爱全. 计及热网不同运行状态下灵活性供给能力的综合能源系统优化调度[J]. 中国电力, 2025, 58(2): 88-102.
[8]	闫志彬, 李立, 阳鹏, 宋蕙慧, 车彬, 靳盘龙. 考虑构网型储能支撑能力的微电网优化调度策略[J]. 中国电力, 2025, 58(2): 103-110.
[9]	刘清泉, 杨鹏, 李铁成, 王献志, 文明浩. 应对继电保护多场景的数字仿真测试方法[J]. 中国电力, 2025, 58(2): 118-125.
[10]	许文俊, 马刚, 姚云婷, 孟宇翔, 李伟康. 考虑绿证-碳交易机制与混氢天然气的工业园区多能优化调度[J]. 中国电力, 2025, 58(2): 154-163.
[11]	黄堃, 付明, 翟家祥, 华昊辰. 基于改进线性化ADMM的多微网经济运行分布式协调优化[J]. 中国电力, 2025, 58(2): 193-202.
[12]	周啸, 阳岳希, 寇龙泽, 李云丰, 钱学威, 郝捷, 景卫哲. 模块化多电平柔性直流换流器高频振荡抑制策略与参数优化设计[J]. 中国电力, 2025, 58(1): 50-60.
[13]	刘文军, 董伟杰, 陈远扬, 何书耘, 陈剑, 贾东强. 新能源高渗透配电网柔性多状态开关的多目标优化控制策略[J]. 中国电力, 2025, 58(1): 85-92.
[14]	鲁玲, 苑涛, 杨波, 李欣, 鲁洋, 蒲秋平, 张鑫. 计及㶲效率和多重不确定性的区域综合能源系统双层优化[J]. 中国电力, 2025, 58(1): 128-140.
[15]	李江, 范袁铮, 刘博. 计及水泥厂直接碳排放碳责任的源-荷低碳优化运行方法[J]. 中国电力, 2025, 58(1): 141-152.

模态框（Modal）标题

新能源大规模并网条件下火电机组深度调峰控制策略优化

Control Strategy Optimization for Thermal Power Unit Adapted to Deep Peak Shaving for Large-Scale New Energy Source Integration

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics