Open AccessTransient stability constrained optimal power flow solution using ant colony optimization for continuous domains (ACO R )
Author(s) -
Moradi Behzad,
Kargar Abbas,
Abazari Saeed
Publication year - 2022
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12560
Subject(s) - ant colony optimization algorithms , transient (computer programming) , sensitivity (control systems) , electric power system , control theory (sociology) , computer science , stability (learning theory) , power (physics) , minification , ant colony , mathematical optimization , voltage , algorithm , mathematics , engineering , electronic engineering , physics , control (management) , quantum mechanics , artificial intelligence , machine learning , operating system , electrical engineering
This paper aims to improve transient stability using the Ant Colony Optimization for Continuous Domains (ACO R ). This improvement is obtained by solving the Transient Stability Constrained Optimal Power Flow (TSCOPF) problem and extracting the sensitivity coefficients. The presented costs minimization approach requires less execution time to manage energy resources efficiently and compared to other conventional methods, it also outperforms based on statistical indicators such as mean and standard deviation. Furthermore, the sensitivity analysis of the suggested method considers the active power generation of the generating units along with their terminal voltage, which notably decreases the operation cost and reduces risk to the power system. On the other hand, the application of ACO R algorithm can reduce the fuel cost of power system operation to 60,928.36 $/h with a decrease of 15.33 $/h compared to the conventional method with a standard deviation equal to 2.51 $/h and an execution time of 7.66 s. This strategy could be used in power system dispatching. This method is implemented on the New England 39 bus system, and the results demonstrate the method's efficiency compared to other conventional methods.