基于粒子群算法的阀门流量特性整定优化  

Optimization of Valve Flow Characteristics Setting Based on the Particle Swarm Optimization Algorithm

作　　者：李道波 梁晓军 王灿文 郑肇会 宋继伟[2] LI Daobo;LIANG Xiaojun;WANG Canwen;ZHENG Zhaohui;SONG Jiwei(Taian Thermal Power Co.,Ltd.,China Energy,Taian 271000,China;Institute of Thermal Science and Technology,Shandong University,Jinan 250061,China)

机构地区：[1]国家能源泰安热电有限公司,山东泰安271000 [2]山东大学热科学与工程研究中心,山东济南250061

出　　处：《山东电力技术》2021年第7期58-63,共6页Shandong Electric Power

基　　金：国家能源集团山东电力有限公司科技项目“基于热电协同的超临界机组供暖季一次调频裕量分析及提升”(202013)。

摘　　要：火电机组长期运行,高压调节阀门的流量特性通常会不同程度的偏离设计值,使总阀位与开度的变化不匹配,进而影响机组的一次调频功能。基于某火电机组的历史运行数据,通过粒子群算法对机组的高压调节阀流量特性进行了优化整定。对不同总阀位区间的一次调频情况进行仿真,探讨了阀门流量特性对一次调频功能的影响。一次调频算例显示,阀门流量特性优化后,机组一次调频动作15 s出力响应指数增至84.32%,30 s出力响应指数增至93.61%,满足发电厂并网运行管理对一次调频的考核要求,一次调频性能得到优化。In the long⁃term operation of thermal power units,the flow characteristics of high⁃pressure regulating valves usually deviate from the design value to varying degrees,so that the total valve position does not match the opening change,which affects the primary frequency regulation function of the units.Based on the historical operation data of a thermal power unit,the flow characteristics of the high⁃pressure control valve of the unit were optimized by the particle swarm optimization algorithm.The primary frequency regulation actions were simulated with the different main valve positions,and the influence of valve flow characteristics on primary frequency regulation function was discussed.The simulation results of primary frequency regulation show the 15 second output response index increased to 84.32%through the valve flow characteristics optimization,and the 30 second output response index increased to 93.61%,which meet the assessment requirements of the primary frequency regulation,so the primary frequency regulation performance was optimized.

关 键 词：一次调频 流量特性 粒子群算法 优化整定 并网运行 

分 类 号：TM621[电气工程—电力系统及自动化]