摘要
短时闪变严重度P_(st)是衡量电能质量的一个重要指标,为提高P_(st)的计算精度,提出了基于原子稀疏分解和实数编码量子进化算法(Atom-RQEA)相结合的短时闪变严重度计算方法。其核心是根据电压波动与闪变信号的特点构造了原子库,由实数编码量子进化算法优化原子特征参数,自适应选择最佳匹配原子重构电压波动信号,进而计算短时闪变严重度P_(st)。仿真结果表明:基于Atom-RQEA方法,能够提高短时闪变严重度P_(st)计算精度,验证了提出方法的有效性和适用性。
Short term flicker severity Pstis an important index of evaluating power quality. To improve precision of calculation Atom-RQEA is proposed. The core is to construct atom library in terms of characteristic of voltage fluctuation and flicker, using RQEA( Real-coded Quantum Evolutionary Algorithm) to optimize characteristic parameters of atom,choosing self-adaption optimal matching atom to reconstruct voltage signal,and calculate flicker severity Pst. Simulation results show the method proposed in this paper can improve the precise of calculating short term flicker severity Pst,and prove it is available and applicable.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2017年第6期46-51,共6页
Journal of Harbin University of Science and Technology
基金
黑龙江省自然科学基金(E2015062)
关键词
电能质量
短时闪变严重度
原子分解
power quality
short term flicker severity
atomic decomposition
