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Fuzzy control of thyristor-controlled series compensatory in power system transients

机译:电力系统暂态晶闸管控制串联补偿的模糊控制

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Power system transient stability is one of the most challenging technical areas in electric power industry. Thyristor controlled series compensation (TCSC) is expected to improve transient stability and damp power oscillations. TCSC control in power system transients is a nonlinear control problem. This paper presents a T-S-model-based fuzzy control scheme and a systematic design method for the TCSC fuzzy controller. The nonlinear power system containing TCSC is modeled as a fuzzy "blending" of a set of locally linearized models. A linear optimal control is designed for each local linear model. Different control requirements at different stages during power system transients can be considered in deriving the linear control rules. The resulting fuzzy controller is then a fuzzy "blending" of these linear controllers. Quadratic stability of the overall nonlinear controlled system cab be checked and ensured using H~∞ control theory. Digital simulation with NETOMAC software has verified that the fuzzy control scheme can improve power system transient stability and damp power swings very quickly.
机译:电力系统的暂态稳定性是电力工业中最具挑战性的技术领域之一。晶闸管控制的串联补偿(TCSC)有望改善瞬态稳定性和抑制功率振荡。电力系统瞬变中的TCSC控制是一个非线性控制问题。提出了基于T-S模型的模糊控制方案和TCSC模糊控制器的系统设计方法。包含TCSC的非线性电力系统被建模为一组局部线性化模型的模糊“融合”。针对每个局部线性模型设计了线性最优控制。在推导线性控制规则时,可以考虑电力系统瞬变期间不同阶段的不同控制要求。所得到的模糊控制器则是这些线性控制器的模糊“混合”。利用H〜∞控制理论对整个非线性控制系统的二次稳定性进行检验和保证。利用NETOMAC软件进行的数字仿真已证明,模糊控制方案可以非常快速地改善电力系统的暂态稳定性和功率波动。

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