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作 者:吴道平 鄢波 刘冬[2,3,4] 肖志怀[3,4] WU Daoping;YAN Bo;LIU Dong;XIAO Zhihuai(State Grid Jiangxi Electric Power Co.,Ltd.Research Institute,Nanchang 330096;School of Civil and Hydraulic Engineering,Huazhong University of Science and Technology,Wuhan 430074;School of Power and Mechanical Engineering,Wuhan University,Wuhan 430072;Key Laboratory of Hydraulic Machinery Transients,Ministry of Education,Wuhan University,Wuhan 430072)
机构地区:[1]国网江西省电力有限公司电力科学研究院,南昌330096 [2]华中科技大学土木与水利工程学院,武汉430074 [3]武汉大学动力与机械学院,武汉430072 [4]武汉大学水力机械过渡过程教育部重点实验室,武汉430072
出 处:《水力发电学报》2020年第10期82-91,共10页Journal of Hydroelectric Engineering
基 金:国家自然科学基金(51979204);江西省电力公司科技项目(521820180010;52183414000W)
摘 要:近年来,随着风、光等可再生能源在能源供应中的比例日益增加,其间歇性和难以预测性使电网的稳定性面临更多挑战。水电机组是电网中具有重要调节作用的机组,其调速器广泛采用传统的比例-积分-微分(PID)控制。然而,PID控制对机组复杂工况的适应性较差,作为重要的鲁棒控制策略,滑模控制在实现水电机组优化运行方面具有巨大潜力。因此,为实现滑模控制在水电机组中的应用,本文将滑模控制引入水轮机调节系统,分析"假稳定"现象的原因并提出改进的滑模控制器。同时,基于自适应模糊粒子群算法(AFPSO)和时间乘误差绝对值积分(ITAE)指标,对改进滑模控制器的参数进行优化。通过仿真证明了所提出的滑模控制策略的有效性。In recent years,with the increasing proportion of renewable energy such as wind and solar types in the energy supply,its intermittency and unpredictability have brought more challenges to the stability of power grids.Hydropower units,as important regulators in a power grid,are often equipped with governors that widely use traditional proportional-integral-derivative(PID)control.However,PID control has poor adaptability to complicated unit operating conditions;while sliding mode control,as an important robust control strategy,has great potential in achieving the optimal operation of hydropower units.This paper describes an improved sliding mode controller for the hydro-turbine regulating system,and analyzes the cause of the false stability phenomenon.We optimize the parameters of this controller based on the adaptive fuzzy particle swarm optimization(AFPSO)algorithm and the integrated time absolute error(ITAE)indicators,and verify its effectiveness through a case study of numerical simulations.
分 类 号:TV736[水利工程—水利水电工程]
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