Study on fuzzy load flow with consideration of wind generation uncertainties

Lucheng Hong, Libao Shi, L. Yao, Y. Ni, M. Bazargan
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引用次数: 11

Abstract

In this paper, the probability theory and fuzzy sets theory were employed to carry out the studies on power system load flow analysis with consideration of wind generation uncertainties. Based on the Possibility/Probability Consistency Principle, the original measurement based wind speed probability density distribution was transformed to the wind speed possibility distribution firstly. The fuzzy model of power output from squirrel cage induction generator (SCIG) was then built in accordance with a simplified power-speed curve of SCIG. The proposed fuzzy model was linearized further for simplicity. And the sensitivity analysis based method was employed to carry out and obtain the possibility distribution of fuzzy load flow solutions. The modified IEEE 14-bus system was used as benchmark to carry out the case studies. Numerical results have demonstrated the validity and effectiveness of the proposed model and method.
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考虑风力发电不确定性的模糊潮流研究
本文运用概率论和模糊集理论对考虑风力发电不确定性的电力系统潮流分析进行了研究。首先基于可能性/概率一致性原理,将原来基于测量的风速概率密度分布转化为风速可能性分布;根据鼠笼式感应发电机的简化功率-转速曲线,建立了鼠笼式感应发电机输出功率的模糊模型。为简单起见,将所提出的模糊模型进一步线性化。采用基于灵敏度分析的方法进行模糊潮流解的可能性分布求解。以改进后的IEEE 14总线系统为基准进行了案例研究。数值结果验证了该模型和方法的有效性。
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