CAJ | 학술논문

文中提出了一种将传统的故障位置法和状态估计法相结合的电压暂降状态估计新方法. 将仅利用历史故障数据的故障位置法和仅利用现有有限监控数据的状态估计法相结合,得到电压暂降状态方程,并利用量子行为粒子群算法(QPSO)得到优化问题的最优解. 对比遗传算法等传统优化算法,QPSO能保证全局收敛,且控制参数更少,随机性更强,则找寻最优解效率更高. 该方法已在IEEE24标准节点系统上进行仿真计算,并与遗传算法对比,结果验证了本文方法的准确性和可靠性. 此方法适用于任何规模电网发生对称故障和不对称故障时的电压暂降状态估计.
문중제출료일충장전통적고장위치법화상태고계법상결합적전압잠강상태고계신방법. 장부이용역사고장수거적고장위치법화부이용현유유한감공수거적상태고계법상결합,득도전압잠강상태방정,병이용양자행위입자군산법(QPSO)득도우화문제적최우해. 대비유전산법등전통우화산법,QPSO능보증전국수렴,차공제삼수경소,수궤성경강,칙조심최우해효솔경고. 해방법이재IEEE24표준절점계통상진행방진계산,병여유전산법대비,결과험증료본문방법적준학성화가고성. 차방법괄용우임하규모전망발생대칭고장화불대칭고장시적전압잠강상태고계.
A new method of voltage sag state estimation based on the combination of the traditional fault position meth-od and state estimation method is proposed in this paper.Combining the fault position method which only use the his-torical data and state estimation method which only use the limited monitoring data, the voltage state estimation equa-tion is obtained, and then quantum-behaved particle swarm optimization is used to solve the optimization problem in this paper.Compared with the traditional optimization algorithm such as GA, the proposed algorithm can guarantee the global convergence, and have less control parameters and stronger randomness, therefore, the optimal solution can be found quickly.The proposed estimation method has been validated by using the IEEE 24 test system and the results obtained have been very satisfactory.The proposed method is applicable to voltage sag state estimation in any size grids which occurs symmetric and asymmetric faults.