CAJ | 학술논문

风电场的大规模接入使得在进行电力系统概率潮流计算时需要考虑风电场出力的随机性.传统的蒙特卡洛法计算时间长、占用内存大.提出一种基于 Faure 序列的含风电场电力系统概率潮流计算方法.IEEE30节点和IEEE118节点系统对所提方法的准确性与有效性进行了仿真验证.仿真结果表明:Faure序列法可以较好地估计输出随机变量的概率分布,能有效地处理间歇性能源接入系统后的不确定性问题.
풍전장적대규모접입사득재진행전력계통개솔조류계산시수요고필풍전장출력적수궤성.전통적몽특잡락법계산시간장、점용내존대.제출일충기우 Faure 서렬적함풍전장전력계통개솔조류계산방법.IEEE30절점화IEEE118절점계통대소제방법적준학성여유효성진행료방진험증.방진결과표명:Faure서렬법가이교호지고계수출수궤변량적개솔분포,능유효지처리간헐성능원접입계통후적불학정성문제.
With large-scale integration of wind farms into power system, the wind power uncertainty is necessary to be taken into consideration when probabilistic power flow calculation is carried out. Traditional Monte Carlo simulation method requires thousands of stochastic simulation times which needs much time in order to obtain a reasonable simulation result. Faure sequence method which has equidistributed sample values is used to improve the sample values coverage of random variables input space. Then this method is used to the probabilistic power flow calculation of power system including wind farms. The accuracy and validity of proposed method are tested on IEEE 30 bus system and IEEE 118 bus system. The simulation results show that the Faure sequence method has the advantages of fast computation and high accuracy and it can estimate the probability distribution of the output random variables and deal with the uncertainties in power system.