In this work,chaos game optimization(CGO),a robust optimization approach,is employed for efficient design of a novel cascade controller for four test systems with interconnected power systems(IPSs)to tackle load-frequ...In this work,chaos game optimization(CGO),a robust optimization approach,is employed for efficient design of a novel cascade controller for four test systems with interconnected power systems(IPSs)to tackle load-frequency con-trol(LFC)difficulties.The CGO method is based on chaos theory principles,in which the structure of fractals is seen via the chaotic game principle and the fractals’self-similarity characteristics are considered.CGO is applied in LFC studies as a novel application,which reveals further research gaps to be filled.For practical implementation,it is also highly desirable to keep the controller structure simple.Accordingly,in this paper,a CGO-based controller of fractional-order(FO)proportional-integral-derivative-FO proportional-integral(FOPID-FOPI)controller is proposed,and the integral time multiplied absolute error performance function is used.Initially,the proposed CGO-based FOPID-FOPI controller is tested with and without the nonlinearity of the governor dead band for a two-area two-source model of a non-reheat unit.This is a common test system in the literature.A two-area multi-unit system with reheater-hydro-gas in both areas is implemented.To further generalize the advantages of the proposed scheme,a model of a three-area hydrothermal IPS including generation rate constraint nonlinearity is employed.For each test system,comparisons with relevant existing studies are performed.These demonstrate the superiority of the proposed scheme in reducing settling time,and frequency and tie-line power deviations.展开更多
针对H桥级联型静止无功发生器(static var generator,SVG),提出了一种模型预测控制策略。实际交流侧输出电压值与理想的输出电压间存在电压残差,电压残差的存在会使电流跟踪存在误差。为此,利用电压残差与前一时刻的电流值进行反馈校正...针对H桥级联型静止无功发生器(static var generator,SVG),提出了一种模型预测控制策略。实际交流侧输出电压值与理想的输出电压间存在电压残差,电压残差的存在会使电流跟踪存在误差。为此,利用电压残差与前一时刻的电流值进行反馈校正,构成了闭环优化。利用级联型SVG存在大量开关冗余状态的特点,实现了直流侧电容电压均衡控制,同时降低了开关器件损耗。搭建了仿真平台和试验样机,仿真和实验结果验证了所提策略的有效性。展开更多
针对传统的控制理论对实际的工业生产过程中的被控系统,特别是具有强非线性的系统控制效果不是很理想,而应用非线性模型预测控制算法能够较好解决非线性系统的控制问题,提出了一种基于回声状态网络(Echo State Network,ESN)模型进行非...针对传统的控制理论对实际的工业生产过程中的被控系统,特别是具有强非线性的系统控制效果不是很理想,而应用非线性模型预测控制算法能够较好解决非线性系统的控制问题,提出了一种基于回声状态网络(Echo State Network,ESN)模型进行非线性系统辨识和粒子群优化(Particle Swarm Optimization,PSO)进行滚动优化的非线性模型预测控制系统的算法。ESN能够很好地辨识非线性系统,其计算时间、数据训练和稳定性相对于传统递归神经网络有了较大进步,PSO具有全局优化和较快的寻优速度。针对典型化工非线性对象连续搅拌槽反应器(Continue Stirred Tank Reactor,CSTR)的仿真实例表明,此模型在预测控制优于BP和PSO结合的非线性预测控制,以及传统的PID控制,证明了该算法运用于非线性模型预测控制中的有效性。展开更多
文摘In this work,chaos game optimization(CGO),a robust optimization approach,is employed for efficient design of a novel cascade controller for four test systems with interconnected power systems(IPSs)to tackle load-frequency con-trol(LFC)difficulties.The CGO method is based on chaos theory principles,in which the structure of fractals is seen via the chaotic game principle and the fractals’self-similarity characteristics are considered.CGO is applied in LFC studies as a novel application,which reveals further research gaps to be filled.For practical implementation,it is also highly desirable to keep the controller structure simple.Accordingly,in this paper,a CGO-based controller of fractional-order(FO)proportional-integral-derivative-FO proportional-integral(FOPID-FOPI)controller is proposed,and the integral time multiplied absolute error performance function is used.Initially,the proposed CGO-based FOPID-FOPI controller is tested with and without the nonlinearity of the governor dead band for a two-area two-source model of a non-reheat unit.This is a common test system in the literature.A two-area multi-unit system with reheater-hydro-gas in both areas is implemented.To further generalize the advantages of the proposed scheme,a model of a three-area hydrothermal IPS including generation rate constraint nonlinearity is employed.For each test system,comparisons with relevant existing studies are performed.These demonstrate the superiority of the proposed scheme in reducing settling time,and frequency and tie-line power deviations.
文摘针对H桥级联型静止无功发生器(static var generator,SVG),提出了一种模型预测控制策略。实际交流侧输出电压值与理想的输出电压间存在电压残差,电压残差的存在会使电流跟踪存在误差。为此,利用电压残差与前一时刻的电流值进行反馈校正,构成了闭环优化。利用级联型SVG存在大量开关冗余状态的特点,实现了直流侧电容电压均衡控制,同时降低了开关器件损耗。搭建了仿真平台和试验样机,仿真和实验结果验证了所提策略的有效性。
文摘针对传统的控制理论对实际的工业生产过程中的被控系统,特别是具有强非线性的系统控制效果不是很理想,而应用非线性模型预测控制算法能够较好解决非线性系统的控制问题,提出了一种基于回声状态网络(Echo State Network,ESN)模型进行非线性系统辨识和粒子群优化(Particle Swarm Optimization,PSO)进行滚动优化的非线性模型预测控制系统的算法。ESN能够很好地辨识非线性系统,其计算时间、数据训练和稳定性相对于传统递归神经网络有了较大进步,PSO具有全局优化和较快的寻优速度。针对典型化工非线性对象连续搅拌槽反应器(Continue Stirred Tank Reactor,CSTR)的仿真实例表明,此模型在预测控制优于BP和PSO结合的非线性预测控制,以及传统的PID控制,证明了该算法运用于非线性模型预测控制中的有效性。
