电工技术学报  2016, Vol. 31 Issue (12): 204-214    DOI:
电力系统 |
基于遗传粒子群优化算法的调速器执行机构分段线性模型及参数辨识
王力1, 赵洁1, 刘涤尘1, 王 骏1, 陈刚2, 刘蔚2
1. 武汉大学电气工程学院 武汉 430072 2. 南方电网科学研究院 广州 510080
Governor Actuator Piecewise Linear Model and Parameter Identification Based on Genetic Algorithm-Particle Swarm Optimization
Wang Li1, Zhao Jie1, Liu Dichen1, Wang Jun1, Chen Gang2, Liu Wei2
1. School of Electrical Engineering Wuhan University Wuhan 430072 China;
2. CSG Electric Power Research Institute Guangzhou 510080 China
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摘要 某些火电厂调速器执行机构调门呈非线性,基于调门整段全开全关曲线计算的执行机构开启和关闭时间常数结果不准确,改进了汽轮机调速器执行机构数学模型。该模型分别采用主、辅分段开启和关闭时间常数反映调门的非线性,其主开启和关闭时间常数通过全开全关曲线线性段计算得到,并结合调门小扰动实验辨识得到执行机构PID参数,再由全开全关实验确定调门分段点及辅开启和关闭时间常数。选用多个测试函数与其他基本智能算法比较,仿真验证了遗传粒子群优化算法(GA-PSO)的有效性;实际电厂算例验证了所建执行机构分段线性模型及参数的有效性。
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关键词 遗传粒子群优化调速器执行机构数学模型参数辨识    
Abstract:Tone fully open and close tests in some thermal power plants are nonlinear, and opening and closing time constant calculation based on the whole opening and closing curves is inaccurate. An improved turbine governor actuator mathematical model is proposed, in which the main and auxiliary on/off time constants were used in segment to reflect the nonlinear characteristic of the turbine valve. The defined main on and off time constants were calculated through linear segments of the full opening and closing curves. Then actuator PID parameters were obtained through small disturbed position tests of the valve, and the valve segmentation point as well as auxiliary on and off time constants was determined by the fully opening and closing valve tests. Compared with other basic intelligence algorithms by selecting multiple test functions, the simulation results show the effectiveness of GA-PSO algorithm, Moreover, the actual power plant example verifies that the governor actuator piecewise linear model and its parameters are effective.
Key wordsGenetic algorithm-particle swarm optimization    speed governor    servo and actuator    mathematical model    parameter identification   
收稿日期: 2014-08-06      出版日期: 2016-07-12
PACS: TM743  
基金资助:国家自然科学基金资助项目(51307123、51347006)
通讯作者: 赵 洁 男,1986年生,博士,讲师,研究方向为电力系统分析与控制。E-mail: jiez@whu.edu.cn   
作者简介: 王 力 男,1990年生,博士研究生,研究方向为电力系统运行与控制。E-mail: 2009302540275@whu.edu.cn
引用本文:   
王, 力, 赵, 洁, 刘涤尘, 王, 骏, 陈, 刚, 刘, 蔚. 基于遗传粒子群优化算法的调速器执行机构分段线性模型及参数辨识[J]. 电工技术学报, 2016, 31(12): 204-214. Wang Li, Zhao Jie, Liu Dichen, Wang Jun, Chen Gang, Liu Wei. Governor Actuator Piecewise Linear Model and Parameter Identification Based on Genetic Algorithm-Particle Swarm Optimization. Transactions of China Electrotechnical Society, 2016, 31(12): 204-214.
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