包括风电场在内的电力系统的长期动态仿真

Yongji Chang, Jilai Yu
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引用次数: 2

摘要

由于自然风的特殊波动特性,风电会产生随机行为,风电容量的增加给电力系统的稳定性带来影响。考虑风电影响的动态仿真方法和软件主要集中在电磁暂态和机电暂态过程,而目前对包括风电场在内的电力系统长期动态仿真的分析相对较少。本文分别采用感应式风力发电机组和双馈感应式发电机的数学动态模型,采用基于变量分组和分段分组策略的动态仿真方法,基于改进的IEEE-30母线网络,实现了包括风电场在内的电力系统在不同风况和运行方式下的长期动态仿真。数值算例表明,所采用的动态仿真方法适用于包括风电场在内的电力系统的长期动态仿真,并且表明双馈感应风力发电机组比异步感应风力发电机组具有更好的稳定特性,可以改善系统的稳定特性。
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Long term dynamic simulation for power system including wind farms
The increasing capacities of wind power bring influence on power system stability because wind power can produce stochastic behaviors due to special fluctuant characteristics of natural wind. The dynamic simulation method and software considering effect of wind power mainly concentrated on electromagnetic transient and electromechanic transient process, whereas the analysis for the long term dynamic simulation for power system including wind farms is relatively scarce at present. This paper adopts mathematic dynamic model of induction wind generating set and double-fed induction generators respectively, and makes use of dynamic simulation method based on variables grouping and seceding grouping strategy, realizes long term dynamic simulation for power system including wind farms under different wind condition and operating mode based on a modified IEEE-30 bus network. The numerical example shows that dynamic simulation method being adopted is suitable for long term dynamic simulation of power system including wind farms, and also shows that doubly fed induction wind turbines have better stability characteristic than asynchronous induction wind turbines and can improve system stability characteristic.
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