Ayoubi Masoud, Hooshmand Rahmat-Allah
Department of Electrical Engineering, University of Isfahan, Isfahan, Iran.
ISA Trans. 2019 Jun;89:186-197. doi: 10.1016/j.isatra.2018.12.034. Epub 2018 Dec 31.
Passive filters are used as one of the effective solutions to mitigate harmonics and improve power quality in electrical networks. In this paper, a new fuzzy approach is proposed for the allocation of detuned passive filters based on a Nonhomogeneous Cuckoo Search Algorithm (NoCuSa). In this method, a resonance index is inserted in the problem formulation to avoid being in a resonance condition after the allocation of passive filters. In this regard, the candidate locations for the installation of passive filters are first selected based on a sensitivity analysis. Then, the values and tuning orders of the passive filters are optimized by using the proposed algorithm for single- and multi-load levels while applying fixed and switched passive filters. In the simulations, different scenarios for optimal allocation of passive filters are investigated and compared with optimal allocation of capacitors. Finally, the fuzzy problem model is implemented on an IEEE 69-bus network by NoCuSa and compared with different optimization algorithms. The results demonstrate an improvement in the final annual net benefit by applying NoCuSa in comparison with other algorithms. In addition, another comparison made between the proposed method and those implemented on IEEE 69-bus system shows the efficiency of the proposed method.
无源滤波器被用作减轻电网谐波和改善电能质量的有效解决方案之一。本文提出了一种基于非齐次布谷鸟搜索算法（NoCuSa）的失谐无源滤波器分配新模糊方法。在该方法中，在问题公式中插入一个共振指标，以避免在无源滤波器分配后处于共振状态。在这方面，首先基于灵敏度分析选择无源滤波器安装的候选位置。然后，在应用固定和开关无源滤波器的情况下，使用所提出的算法针对单负载和多负载水平优化无源滤波器的值和调谐阶数。在仿真中，研究了无源滤波器最优分配的不同场景，并与电容器的最优分配进行了比较。最后，通过NoCuSa在IEEE 69节点网络上实现模糊问题模型，并与不同的优化算法进行比较。结果表明，与其他算法相比，应用NoCuSa可提高最终年度净效益。此外，将所提出的方法与在IEEE 69节点系统上实现的方法进行的另一比较显示了所提方法的有效性。
