针对具有多设备集成、多产点和多负荷耦合特征,且运行方式灵活多样的微型燃气轮机分布式能源系统(microturbine-based distributed energy system,MT-DES),提出新的运行优化模型。将MT-DES分解成CHP机组、热/冷辅助设备、购/售电等环节...针对具有多设备集成、多产点和多负荷耦合特征,且运行方式灵活多样的微型燃气轮机分布式能源系统(microturbine-based distributed energy system,MT-DES),提出新的运行优化模型。将MT-DES分解成CHP机组、热/冷辅助设备、购/售电等环节。在厘清各设备/环节间耦合关系以及其与主要运行策略之间联系的基础上,采用混合逻辑方法,合理描述了考虑启停逻辑和负荷限制等约束的各环节运行特性。并与经济、能效和环保等目标模型联立,通过线性变换和矩阵化,得到了适用于各主要运行策略研究的滚动优化模型。对文中思路的可行性和优越性通过优化算例进行了验证。展开更多
The parameter identification of a nonlinear Hammerstein-type process is likely to be complex and challenging due to the existence of significant nonlinearity at the input side. In this paper, a new parameter identific...The parameter identification of a nonlinear Hammerstein-type process is likely to be complex and challenging due to the existence of significant nonlinearity at the input side. In this paper, a new parameter identification strategy for a block-oriented Hammerstein process is proposed using the Haar wavelet operational matrix(HWOM). To determine all the parameters in the Hammerstein model, a special input excitation is utilized to separate the identification problem of the linear subsystem from the complete nonlinear process. During the first test period, a simple step response data is utilized to estimate the linear subsystem dynamics. Then, the overall system response to sinusoidal input is used to estimate nonlinearity in the process. A single-pole fractional order transfer function with time delay is used to model the linear subsystem. In order to reduce the mathematical complexity resulting from the fractional derivatives of signals, a HWOM based algebraic approach is developed. The proposed method is proven to be simple and robust in the presence of measurement noises. The numerical study illustrates the efficiency of the proposed modeling technique through four different nonlinear processes and results are compared with existing methods.展开更多
文摘针对具有多设备集成、多产点和多负荷耦合特征,且运行方式灵活多样的微型燃气轮机分布式能源系统(microturbine-based distributed energy system,MT-DES),提出新的运行优化模型。将MT-DES分解成CHP机组、热/冷辅助设备、购/售电等环节。在厘清各设备/环节间耦合关系以及其与主要运行策略之间联系的基础上,采用混合逻辑方法,合理描述了考虑启停逻辑和负荷限制等约束的各环节运行特性。并与经济、能效和环保等目标模型联立,通过线性变换和矩阵化,得到了适用于各主要运行策略研究的滚动优化模型。对文中思路的可行性和优越性通过优化算例进行了验证。
文摘The parameter identification of a nonlinear Hammerstein-type process is likely to be complex and challenging due to the existence of significant nonlinearity at the input side. In this paper, a new parameter identification strategy for a block-oriented Hammerstein process is proposed using the Haar wavelet operational matrix(HWOM). To determine all the parameters in the Hammerstein model, a special input excitation is utilized to separate the identification problem of the linear subsystem from the complete nonlinear process. During the first test period, a simple step response data is utilized to estimate the linear subsystem dynamics. Then, the overall system response to sinusoidal input is used to estimate nonlinearity in the process. A single-pole fractional order transfer function with time delay is used to model the linear subsystem. In order to reduce the mathematical complexity resulting from the fractional derivatives of signals, a HWOM based algebraic approach is developed. The proposed method is proven to be simple and robust in the presence of measurement noises. The numerical study illustrates the efficiency of the proposed modeling technique through four different nonlinear processes and results are compared with existing methods.
