摘要
针对导水机构水力损失对水轮机效率影响较大,且其模型较为复杂的特点,提出了一种基于曲线拟合的导水机构水力损失表达方法,建立了水轮机精细模型;并采用改进人工鱼群算法对模型进行辨识。将该方法运用于某电厂实测数据,仿真结果表明改进水轮机模型精度高,且可以反映电厂实际运行状态,导水机构水力损失辨识结果与理论公式定性分析一致,并采用功率阶跃扰动对模型进行验证。结果表明模型是有效可靠的。
In view of the great influence of the distributors hydraulic loss on the efficiency of the hydro-turbine,and plus the complexity of the hydraulic loss model,a method based on curve fitting is proposed to express the hydraulic loss of the distributor,and a detailed hydro-turbine model is developed.The improved artificial fish swarm algorithm(IAFSA)is used to identify the model.This method is applied to the data of a hydropower station.The simulation results show that the improved hydro-turbine model has a high accuracy and can reflect the actual running state.The identified results on the hydraulic loss of the distributor is identical to the theoretical formula analysis.The model is validated by the power step disturbance method,the results showing that it is reliable and accurate.
出处
《电力系统自动化》
EI
CSCD
北大核心
2014年第1期57-61,共5页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51079057
51109088)
高等学校博士学科点专项科研基金资助项目(20100142110012)~~
关键词
水轮机
模型辨识
水力损失
导水机构
人工鱼群算法
曲线拟合
hydro-turbine
model identifying
hydraulic loss
distributor
artificial fish swarm algorithm(AFSA)
curve fitting