Journal of Electrical Engineering ›› 2021, Vol. 16 ›› Issue (2): 141-148.doi: 10.11985/2021.02.018

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Method of Improving Power Grid Hosting Capacity for Distributed Generation Based on Improved GWO-GS

XU Hanchen1(), WANG Lihui2(), LIAO Yuhang2()   

  1. 1. School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167
    2. School of Instrument Science and Engineering, Southeast University, Nanjing 210096
  • Received:2020-08-06 Revised:2020-09-18 Online:2021-06-25 Published:2021-08-05

Abstract:

The high permeability of distributed generation (DG) units will cause various power quality problems, which will lead to the reduction of power grid carrying capacity. Therefore, a method to improve the load-carrying capacity of DG connected to power grid based on improved grey wolf optimization and gravity search (GWO-GS) is proposed. Firstly, a harmonic filter is proposed to suppress harmonics and reduce power loss, so as to maximize the random carrying capacity of harmonic constraints. Then, the adaptive adjustment of control coefficient and the effect of fitness value on weight are used, and the improved gray wolf algorithm is used to optimize to avoid falling into local optimum. Finally, combined with uncertain factors such as DG intermittent output power and load change, the filter optimization based on improved GWO-GS is constructed. In addition, Matlab simulation platform is used to verify the proposed optimization algorithm. The results show that the proposed algorithm has the shortest convergence time and better performance than other algorithms.

Key words: Distributed generation, improved gray wolf optimization, gravitational search, hosting capacity, harmonic filter

CLC Number: