摘要
当电力负荷面临较大跨度的电压、频率扰动时,其非线性变结构特征表现相当明显,尤其是在电力系统中长期动态过程中。针对现有的单一结构负荷模型已无法准确描述电力负荷的非线性变结构特性的问题,首先通过对现有的静态模型进行分析,引入分段建模的思想,提出了一种新的变结构的静态模型;然后采用自适应神经模糊推理系统建立全局动态变结构负荷模型,描述电力负荷的非线性变结构特性。仿真数据建模实例验证了该方法的有效性和可行性。全局变结构负荷模型的提出为电力系统中长期动态负荷建模提出了一条新的思路,可以较大程度地提高电力系统中长期动态仿真的准确度。
When the voltage and frequency change greatly, the nonlinear and variable structure characteristic of the electric load is considerable, especially during the long-term dynamic process of power system. Since the single load model could not describe the nonlinear characteristics, on the analysis of present static models, a new static model with variable structure is proposed based on the idea of subsection modeling. ANFIS （Adaptive Neural Fuzzy Inference System） is presented to obtain the global load model for describing the nonlinear characteristics of the electric load. The example of load modeling indicates the validity and feasibility of the method, which gives a new method for midlong term dynamic load modeling of power system and improves the veracity of power system mid-long term simulation.
出处
《现代电力》
2006年第2期30-34,共5页
Modern Electric Power
基金
国家重点基础研究发展项目(973)(2004GB217901)
关键词
非线性
变结构
负荷特性
负荷建模
中长期仿真
nonlinear characteristic
variable structure
load characteristic
load modeling
mid-long term simulation
