A novel distributed model predictive control scheme based on dynamic integrated system optimization and parameter estimation （DISOPE） was proposed for nonlinear cascade systems under network environment. Under the d...A novel distributed model predictive control scheme based on dynamic integrated system optimization and parameter estimation （DISOPE） was proposed for nonlinear cascade systems under network environment. Under the distributed control structure, online optimization of the cascade system was composed of several cascaded agents that can cooperate and exchange information via network communication. By iterating on modified distributed linear optimal control problems on the basis of estimating parameters at every iteration the correct optimal control action of the nonlinear model predictive control problem of the cascade system could be obtained, assuming that the algorithm was convergent. This approach avoids solving the complex nonlinear optimization problem and significantly reduces the computational burden. The simulation results of the fossil fuel power unit are illustrated to verify the effectiveness and practicability of the proposed algorithm.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
基金This work was supportedbytheNationalNaturalScienceFoundationofChina(No.60474051),theProgramforNewCenturyExcellentTalentsinUniversityofChina(NCET),andtheSpecializedResearchFundfortheDoctoralProgramofHigherEducationofChina(No.20020248028).
文摘A novel distributed model predictive control scheme based on dynamic integrated system optimization and parameter estimation （DISOPE） was proposed for nonlinear cascade systems under network environment. Under the distributed control structure, online optimization of the cascade system was composed of several cascaded agents that can cooperate and exchange information via network communication. By iterating on modified distributed linear optimal control problems on the basis of estimating parameters at every iteration the correct optimal control action of the nonlinear model predictive control problem of the cascade system could be obtained, assuming that the algorithm was convergent. This approach avoids solving the complex nonlinear optimization problem and significantly reduces the computational burden. The simulation results of the fossil fuel power unit are illustrated to verify the effectiveness and practicability of the proposed algorithm.
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。
