Multi-Area Load Frequency Control of Hydro-Thermal-Wind Power Based on Improved Grey Wolf Optimization Algorithm

Authors

  • Fannie Kong Department of Electrical Engineering, University of Guangxi
  • Jinfang Li Department of Electrical Engineering, University of Guangxi
  • Daliang Yang Department of Electrical Engineering, University of Guangxi

DOI:

https://doi.org/10.5755/j01.eie.26.6.27484

Keywords:

Load frequency control, Area control error, Hydro-thermal-wind interconnected power system, Improved grey wolf optimization algorithm

Abstract

The mathematical model of load frequency control is established in the interconnected power system of hydro, thermal, and wind for solving the problem of frequency instability in this paper. Besides, the improved grey wolf optimization algorithm (GWO) is presented based on the offspring grey wolf optimizer (OGWO) search strategy to handle local convergence for the GWO algorithm in the later stage. The experimental results show that the improved grey wolf algorithm has a superior optimization ability for the standard test function. The traditional proportional integral derivative (PID) controller cannot track the random disturbance of wind power in the hydro, thermal, and wind interconnected power grid. However, the proposed OGWO dynamically adjusts the PID controller control parameters to follow the wind power random disturbance, regional frequency deviation, and tie-line power deviation.

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Published

2020-12-18

How to Cite

Kong, F., Li, J., & Yang, D. (2020). Multi-Area Load Frequency Control of Hydro-Thermal-Wind Power Based on Improved Grey Wolf Optimization Algorithm. Elektronika Ir Elektrotechnika, 26(6), 32-39. https://doi.org/10.5755/j01.eie.26.6.27484

Issue

Section

RENEWABLE ENERGY

Funding data