| 引用本文: | 陈金保,张 智,郑 阳,等.孤网模式下水电机组智能鲁棒控制[J].电力系统保护与控制,2024,52(14):111-120.[点击复制] |
| CHEN Jinbao,ZHANG Zhi,ZHENG Yang,et al.Intelligent robust control of hydropower units in islanding mode[J].Power System Protection and Control,2024,52(14):111-120[点击复制] |
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| 孤网模式下水电机组智能鲁棒控制 |
| 陈金保1,2,张智1,2,郑阳1,3,王俊青1,2,肖志怀1,3,李广1,2 |
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| (1.湖北省智慧水电技术创新中心，湖北 武汉 430000;2.中国长江电力股份有限公司，湖北 宜昌 443002;
3.武汉大学动力与机械学院，湖北 武汉 430072) |
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| 摘要: |
| 针对孤网模式下水电机组PID控制策略鲁棒性差的缺点，设计了适用于非线性水轮机调节系统(hydraulic turbine regulating system, HTRS)的基于状态动态测量、反馈线性化和改进黏菌算法(improved slime mold algorithm, ISMA)的智能鲁棒控制器(intelligent robust controller, IRC)，以实现对水电站全工况实时最优控制。首先，充分考虑水轮机非线性、随动系统限速环节和高阶发电机特性，构建非线性、复杂HTRS数值仿真模型，并引入系统跟踪偏差的积分，推导出了孤网模式下考虑系统跟踪偏差的HTRS高阶状态空间方程模型。然后，结合高阶状态空间方程和H∞控制实现了HTRS鲁棒控制。进一步，基于ISMA对H∞控制器参数进行智能寻优。最后，结合某电站真实数据构建非线性、复杂HTRS仿真平台，验证了所提控制策略对系统参数和工况的敏感性、频率扰动下的强鲁棒性。 |
| 关键词: 水电机组 孤网模式 H∞控制 改进黏菌算法 智能鲁棒控制 |
| DOI：10.19783/j.cnki.pspc.231249 |
| 投稿时间：2023-09-23修订日期：2023-09-23 |
| 基金项目:国家自然科学基金项目资助(51979204)；湖北省智慧水电技术创新中心开放研究基金项目资助(1523020038) |
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| Intelligent robust control of hydropower units in islanding mode |
| CHEN Jinbao1,2,ZHANG Zhi1,2,ZHENG Yang1,3,WANG Junqing1,2,XIAO Zhihuai1,3,LI Guang1,2 |
| (1. Hubei Technology Innovation Center for Smart Hydropower, Wuhan 430000, China; 2. China Yangtze Power Co., Ltd.,
Yichang 443002, China; 3. School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China) |
| Abstract: |
| There is poor robustness of the PID control strategy for hydropower units in islanding mode. Thus an intelligent robust controller (IRC) based on state dynamic measurement, feedback linearization, and improved slime mold algorithm (ISMA) is designed for a nonlinear hydraulic turbine regulating system (HTRS) to achieve real-time optimal control of all operating conditions of hydropower stations. First, a nonlinear and complex HTRS numerical simulation model is constructed, one that fully considers the nonlinearity of the hydraulic turbine, the speed limiting link of the servo system, and the characteristics of a high-order generator. Integration of the system tracking deviation is introduced, and a high-order state space equation model of the HTRS considering the system tracking deviation in islanding mode is derived. Then, HTRS robust control is achieved by combining high-order state space equations and H∞ control. Intelligent optimization of H∞ controller parameters is performed based on ISMA. Finally, a nonlinear and complex HTRS simulation platform is constructed based on real data from a hydropower station. This is to verify the sensitivity of the proposed control strategy to system parameters and operating conditions, as well as its strong robustness to frequency disturbance. |
| Key words: hydropower unit islanding mode H∞control improved slime mold algorithm intelligent robust control |
