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水力发电学报 ›› 2020, Vol. 39 ›› Issue (10): 82-91.doi: 10.11660/slfdxb.20201006

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适用于水电机组的改进滑模控制策略研究

  

  • 出版日期:2020-10-25 发布日期:2020-10-25

Study on improved sliding mode control strategy suitable for hydropower units

  • Online:2020-10-25 Published:2020-10-25

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。

关键词: 水电机组, 滑模控制, 参数优化, 假稳定

Abstract: 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.

Key words: hydropower unit, sliding mode control, parameter optimization, false stability

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