Open AccessEconomic dispatching Optimization of power grid based on IGWO Algorithm
Author(s) -
Hoi-Lai Yu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/3/032009
Subject(s) - particle swarm optimization , mathematical optimization , convergence (economics) , power (physics) , computer science , grid , electric power system , local optimum , generator (circuit theory) , variable (mathematics) , algorithm , jump , mathematics , mathematical analysis , physics , geometry , quantum mechanics , economics , economic growth
An improved grey Wolf optimization algorithm (IGWO) is proposed to solve economic dispatch (ED) of power systems is proposed in this paper. The column vector composed of the active power of each generator in the power grid system is taken as the decision variable, and the total power generation cost of the power grid is taken as the objective function. The improved grey Wolf optimization algorithm is used to search for the optimal value by introducing the inertial characteristic constant and Gaussian mutation operator, and is compared with particle swarm optimization (PSO). The simulation results show that the proposed method has the characteristics of fast convergence speed, high solution accuracy and easy to jump out of the local optimal solution, and can be used as an effective means to solve ED problems.