Power loss minimization load flow studies using Artificial Bee Colony swarm intelligence technique

Abstract


 
 
 This paper presents the capability of an emerging swarm intelligence technique for power loss minimization known as the Artificial Bee Colony (ABC) used in the context of an Alternative Load Flow Analysis (LFA) technique (ABC-LFA) for the solution of a power systems network. Studies are performed considering the effect of an important parameter of the ABC, the “maxcycle” on the LFA process; experiments are conducted by applying the ABC-LFA to the Western System Coordinated Council (WSCC) 3-machine 9- bus power system and a section of the Nigerian 132-kV power transmission network Port-Harcourt Region (NPHC-132), and the results reported. The results indicate that increasing the value of the ABC “maxcycle” parameter has a pronounced effect on the results obtained by the ABC-LFA. The results also indicate the sensitivity of the ABC to low values of maxcycle parameter.
 
 

Untitled

“…Power loss minimization problem cannot be over emphasized as a research topic, as several scholars have focused on the transmission and distribution loss reduction and enhancement of voltage stability to improve the power system at higher reliability and efficiency. Various approaches have been explored and applied to solve the power loss minimization issues, and in all of these, they have presented different forms of loss minimization tools, problem formulations, method employed and solution obtained [6][7][8][9].…”