Optimal Allocation Method of Hybrid Active Power Filters in Active Distribution Networks Based on Differential Evolution Algorithm


Vol. 19, No. 5, pp. 1289-1302, Sep. 2019
https://doi.org/10.6113/JPE.2019.19.5.1289


PDF     Full-Text

 Abstract

In this paper, an optimal allocation method of a hybrid active power filter in an active distribution network is designed based on the differential evolution algorithm to resolve the harmonic generation problem when a distributed generation system is connected to the grid. A distributed generation system model in the calculation of power flow is established. An improved back/ forward sweep algorithm and a decoupling algorithm are proposed for fundamental power flow and harmonic power flow. On this basis, a multi-objective optimization allocation model of the location and capacity of a hybrid filter in an active distribution network is built, and an optimal allocation scheme of the hybrid active power filter based on the differential evolution algorithm is proposed. To verify the effect of the harmonic suppression of the designed scheme, simulation analysis in an IEEE-33 nodes model and an experimental analysis on a test platform of a microgrid are adopted.


 Statistics
Show / Hide Statistics

Cumulative Counts from September 30th, 2019
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.



Cite this article

[IEEE Style]

Y. Chen, W. Chen, R. Yang, Z. Li, "Optimal Allocation Method of Hybrid Active Power Filters in Active Distribution Networks Based on Differential Evolution Algorithm," Journal of Power Electronics, vol. 19, no. 5, pp. 1289-1302, 2019. DOI: https://doi.org/10.6113/JPE.2019.19.5.1289.

[ACM Style]

Yougen Chen, Weiwei Chen, Renli Yang, and Zhiyong Li. 2019. Optimal Allocation Method of Hybrid Active Power Filters in Active Distribution Networks Based on Differential Evolution Algorithm. Journal of Power Electronics, 19, 5, (2019), 1289-1302. DOI: https://doi.org/10.6113/JPE.2019.19.5.1289.