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作 者:刘灏[1] 晁婉萌 毕天姝[1] LIU Hao;CHAO Wanmeng;BI Tianshu(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China)
机构地区:[1]华北电力大学电气与电子工程学院,北京102206
出 处:《电力自动化设备》2024年第12期124-131,共8页Electric Power Automation Equipment
基 金:国家自然科学基金资助项目(52377098)。
摘 要:大规模分布式光伏接入的配电网在运行过程中易产生大量谐波,严重影响电能质量,亟需实现谐波全局可观,为其治理提供数据基础。因此,提出了一种考虑光伏不确定性的谐波监测点优化配置方法。该方法提出了节点综合谐波敏感因子评估配电网节点受谐波影响的程度,从而对节点进行权重划分;进一步地,考虑光照强度和负荷随时间变化的特点,为保证系统在不同时间段内产生的谐波均能被观测到,在谐波潮流计算的基础上,提出了谐波可观测矩阵;基于上述2个评价指标,建立了考虑节点谐波敏感因子的谐波监测优化配置模型,并采用非支配排序遗传算法求解得到了谐波监测点配置方案。在IEEE 33节点配电系统上仿真验证所提方法的有效性,并将所提方法与已有方法进行了对比分析,验证了所提方法的优越性。The distribution network with large-scale distributed photovoltaic(PV) access is prone to generate a large number of harmonics during operation,which seriously affects the power quality.It is urgent to realize the global observability of harmonics and provide a data base for its management.Therefore,an optimal allocation method of harmonic monitoring considering PV uncertainty is proposed.The method proposes a nodal integrated harmonic sensitivity factor to assess the influence degree of harmonics on distribution network nodes,so as to divide the node weights.Furthermore,considering the characteristics of light intensity and load varying with time,in order to ensure that the harmonics generated by the system in different time periods can be observed,a harmonic observable matrix is proposed on the basis of harmonic trend calculation.Based on the above two evaluation indexes,the optimal harmonic monitoring allocation model considering nodal integrated harmonic sensitivity factor is established,and the harmonic monitoring point allocation scheme is obtained by solving with non-dominated sorting genetic algorithm.The effectiveness of the proposed method is verified by simulation on IEEE 33-bus distribution system,and the proposed method is compared and analyzed with the existing methods to verify the superiority of the proposed method.
关 键 词:配电网 节点综合谐波敏感因子 谐波可观测矩阵 电能质量 优化配置 非支配排序遗传算法
分 类 号:TM732[电气工程—电力系统及自动化]
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